What is the best alternative to Wolfram Mathematica?

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score 235 · Answer 1

Julia

Top Pro

Almost as fast as C

Julia runs almost as fast as (and in fact in some cases faster than) C code. See More

Top Con

Young language with limited support

Julia was released in 2012. Due to its short existence, there is a limited amount of support for the language. Very few libraries exist as of yet, and the community is still quite small (though growing quickly). See More

Top Pro

Strong dynamic typing

Dynamic and high level, but does not isolate the user from properly thinking about types. Can do explicit type signatures which is great for teaching structured thinking. See More

Top Con

1-based array and column major

This design probably comes from Matlab, but makes it unnatural to interface C and C++ and python. See More

Top Pro

Great standard REPL

Out of the box Julia has a very good Read-Eval-Print-Loop, which both completes functions and types, as well as completion based on history of previous statements. It integrates well with the shell and has an excellent online help system. See More

Top Pro

Nice regular syntax

Julia code is easy to read and avoid a lot of unnecessary special symbols and fluff. It uses newline to end statements and "end" to end blocks so there is no need for lots of semicolons and curly braces. It is regular in that unless it is a variable assignment, function name always comes first. No need to be confused about whether something is a method on an object or a free function. Unlike Python and Ruby, since you can annotate the types a function operates on, you can overload function names, so that you can use the same function name for many data types. So you can keep simple descriptive function names and not have to invent artificial function names to separate them from the type they operate on. See More

Top Pro

Written in itself

The Julia language is written in itself to a much larger extent than most other languages, so a budding programmer can read through the depths of the standard library and learn exactly how things work all the way down to the low-level bit-twiddling details, which can be englightening. See More

Top Pro

Powerful n-dimensional arrays

Julia has built in n-dimensional arrays similar in functionality as Python's numpy. See More

Top Pro

Function overloading

You can have multiple functions with the same name, but doing different things depending on function arguments and argument types. See More

Top Pro

Amazing learning curve

Julia requires no boilerplate code – a beginner needs to write only the parts they care about. This combined with the REPL provides the best learning experience available. See More

Top Pro

High-level code

Julia provides a high level of abstraction, making platform-independent programming trivial and easing the learning curve. See More

Top Pro

Function and operator broadcasting

You can perform operations on scalars, for example 2^2 or [1, 2, 3].^2. See More

Top Pro

Strong Metaprogramming

Julia allows you to edit Julia code in the language itself and write powerful macros. It is a great introduction to metaprogramming features See More

Top Pro

REPL-based

The Julia REPL allows quickly testing how some code behaves and gives access to documentation and package management immediately in the REPL. See More

Specs

Platforms:Windows, Linux, Mac, FreeBSD

Current stable version:1.5.3

Type Model:Dynamically Typed

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235 63

score 490 · Answer 2

Nim

Top Pro

Great metaprogramming features

There are generics, templates, macros in Nim. They can allow you to write new DSL for your application, or avoid all boilerplate stuff. See More

Top Pro

Strict typing

Checks your code at compile time. See More

Top Pro

Has built-in unittest module

With built-in "unittest" module you can create test with a very readable code. See More

Top Pro

Compile-time execution

Nim has a built-in VM, which executes macros and some other code at compile time. For example, you can check if you're on Windows, and Nim will generate code only for it. See More

Top Pro

Has built-in async support

Nim has "asyncdispatch" module, which allows you to write async applications. See More

Top Pro

Really cross-platform

The same code can be used for web, server, desktop and mobile. See More

Top Pro

Easy to read

Nim has a lot of common with Python in terms of syntax. Indentation-based syntax, for/while loops. See More

Top Pro

Multi paradigm

Imperative, OOP, functional programming in one language. See More

Top Pro

Easy to integrate with another languages

You can use Nim with any language that can be interfaced with C. There's a tool which helps you to create new C and C++ bindings for Nim - c2nim. Also, you can use Nim with Objective C or even JavaScript (if you're compiling for these backends). See More

Top Pro

Garbage-collected

You don't need to deal with all those manual memory allocations, Nim can take care of it. But also you can use another GC, or tweak it for your real-time application or a game. See More

Top Pro

Type interferencing

You only need to specify types in your procedures and objects - you don't need to specify type when you're creating a new variable (unless you're creating it without initialization). See More

Top Pro

Built-in Unicode support

You can use unicode names for variables, there is "unicode" module for operations with unicode. See More

Top Pro

Supports UFCS (Unified Function Call Syntax)

writeLine(stdout, "hello") can be written as stdout.writeLine("hello") proc add(a: int): int = a + 5 can be used like 6.add.echo or 6.add().echo() See More

Specs

Platforms:Windows, MacOS/iOS, Linux /Android/Termux, *BSD, Solaris/SmartOS, HaikuOS, lots of others

License:MIT

CPU:All CPU architectures that have an ANSI C compiler or JavaScript interpreter

Current stable version:2.0.0

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490 195

score 406 · Answer 3

Haskell

Top Pro

Highly transferable concepts

Haskell's referential transparency, consistency, mathematics-oriented culture, and heavy amount of abstraction encourage problem solving at a very high level. The fact that this is all built upon little other than function application means that not only is the thought process, but even concrete solutions are very transferable to any other language. In fact, in Haskell, it's quite common for a solution to simply be written as an interpreter that can then generate code in some other language. Many other languages employ language-specific features, or work around a lack of features with heavy-handed design patterns that discourage abstraction, meaning that a lot of what is learned, and a lot of code that is needed to solve a particular problem just isn't very applicable to any other language's ecosystem. See More

Top Con

Language extensions lead to unfamiliar code

Haskell's language extensions, while making the language incredibly flexible for experienced users, makes a lot of code incredibly unfamiliar for beginners. Some pragmas, like NoMonomorphismRestriction, have effects that seem completely transparent in code, leading beginners to wonder why it's there. Others, like ViewPatterns, and particularly TemplateHaskell, create completely new syntax rules that render code incomprehensible to beginners expecting vanilla function application. See More

Top Pro

Forces you to learn pure functional programming

It is pure and does not mix other programming paradigms into the language. This forces you to learn functional programming in its most pure form. You avoid falling back on old habits and learn an entirely new way to program. See More

Top Con

Difficult learning curve

Haskell lends itself well to powerful abstractions - the result is that even basic, commonly used libraries, while easy to use, are implemened using a vocabularly that requires a lot of backround in abstract mathematics to understand. Even a concept as simple as "combine A and B" is often, both in code and in tutorials, described in terms of confusing and discouraging terms like "monad", "magma", "monoid", "groupoid", and "ring". This also occasionally bears its ugly head in the form of complicated error messages from type inference. See More

Top Pro

Open source

All Haskell implementations are completely free and open source. See More

Top Con

Package manager is unstable & lacking features

Cabal (There are other choices but this is the most popular) can not uninstall a package. Also working at a few locations it is difficult to have the same environment for each one be the same. See More

Top Pro

Mathematical consistency

As Haskell lends itself exceedingly well to abstraction, and borrows heavily from the culture of pure mathematics, it means that a lot more code conforms to very high-level abstractions. You can expect code from vastly different libraries to follow the same rules, and to be incredibly self-consistent. It's not uncommon to find that a parser library works the same way as a string library, which works the same way as a window manager library. This often means that getting familiar and productive with new libraries is often much easier than in other languages. See More

Top Con

You have to learn more than just FP

Haskell is not only a functional language but also a lazy, and statically typed one. Not only that but it's almost necessary to learn about monads before you can do anything useful. See More

Top Pro

Referentially transparent

Haskell's Purely Functional approach means that code is referentially transparent. This means that to read a function, one only needs to know its arguments. Code works the same way that expressions work in Algebra class. There's no need to read the whole source code to determine if there's some subtle reference to some mutable state, and no worries about someone writing a "getter" that also mutates the object it's called on. Functions are all directly testable in the REPL, and there's no need to remember to call methods in a certain order to properly initialize an object. No breakage of encapsulation, and no leaky abstractions. See More

Top Con

Symbols everywhere

Haskell allows users to define their own infix operators, even with their own precedence. The result is that some code is filled with foreign looking operators that are assumed to be special-case syntax. Even for programmers who know they're just functions, operators that change infix precedence can potentially break expectations of how an expression is evaluated, if not used with care. See More

Top Pro

Hand-writeable concise syntax

Conciseness of Haskell lets us to write the expression on the whiteboard or paper and discuss with others easily. This is a strong benefit to learn FP over other languages. See More

Top Con

Obscure ugly notation

0 = 1 Using "=" like this: <code> -- Using recursion (with pattern matching) factorial 0 = 1 factorial n = n * factorial (n - 1) </code> Example from https://en.wikipedia.org/wiki/Haskell_(programming_language) is quite simply annoying aesthetics. See More

Top Pro

Very few language constructs

The base language relies primarily on function application, with a very small amount of special-case syntax. Once you know the rules for function application, you know most of the language. See More

Top Con

Documentation for most packages is short and lacking

A few Haskell packages are well documented but this is the exception, not the rule. Most of the time a list of function signatures is what passes for documentation. See More

Top Pro

Quick feedback

It's often said that, in Haskell, if it compiles, it works. This short feedback loop can speed up learning process, by making it clear exactly when and where mistakes are made. See More

Top Con

Too academic, hard to find "real world" code examples

Top Pro

Functions curry automatically

Every function that expects more than one arguments is basically a function that returns a partially applied function. This is well-suited to function composition, elegance, and concision. See More

Top Con

You need some time to start seeing results

Haskell's static typing, while helpful when building a project, can be positively frustrating for beginners. Quick feedback for errors means delaying the dopamine hit of code actually running. While in some languages, a beginner's first experience may be their code printing "Hello World" and then crashing, in Haskell, similar code would more likely be met with an incomprehensible type error. See More

Top Pro

Easy to read

Haskell is a very terse language, particularly due to its type inference. This means there's nothing to distract from the intent of the code, making it very readable. This is in sharp contrast to languages like Java, where skimming code requires learning which details can be ignored. Haskell's terseness also lends itself to very clear inline examples in textbooks, and makes it a pleasure to read through code even on a cellphone screen. See More

Top Con

Lazily evaluated

Haskell's lazy evaluation implies a level of indirection - you're not passing a value, you're passing a thunk. This is often difficult to grasp not just for beginners, but for experienced programmers coming from strictly evaluated languages. This also means that, since for many, strict evaluation is their first instinct, initial expectations of a function's performance and complexity are often broken. See More

Top Pro

Popular in teaching

Haskell is really popular in universities and academia as a tool to teach programming. A lot of books for people who don't know programming are written around Haskell. This means that there are a lot of resources for beginners in programming with which to learn Haskell and functional programming concepts. See More

Top Con

Only pure functional programming

Not proper functional programming but a subset of the style called pure functional programming. See More

Top Pro

Easy syntax for people with a STEM degree

Since the basic syntax is very similar to mathematics, Haskell syntax should be easy for people who have taken higher math courses since they would be used to the symbols used in maths. See More

Top Con

Curried type signatures obfuscate what were the in and out types originally

Top Pro

Powerful categorical abstractions

Makes categorical higher order abstractions easy to use and natural to the language. See More

Specs

Site:https://www.haskell.org/

Paradigm:functional

Type System:static

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406 191

score 610 · Answer 4

Rust

Top Pro

Catch errors at compile-time

Since Rust is statically typed, you can catch multiple errors during compile time. This is extremely helpful with debugging, especially compared with dynamically typed languages that may fail silently during runtime. See More

Top Con

Long compile times

Way longer to compile than other languages. See More

Top Pro

Compiles to machine code allowing for extra efficiency

Rust uses LLVM as a backend, among other things this allows Rust code to compile down to machine languages. This allows developers to write programs that run as efficiently as possible. See More

Top Con

Low productivity

The compiler is strict, such as ownership and borrowing checkers. See More

Top Pro

Threads without data races

Unique ownership system guarantees a mutable data to be owned and mutated by only one thread at a time, so there's no data race, and this guarantee is checked at compile time statically. Which means easy multi-threading. Of course, immutable data can be shared among multiple threads freely. See More

Top Con

Low readability

Harder to read and understand language. See More

Top Pro

Generics support

You don't have to write same array and dictionary classes hundreds and thousands times for strong type check by compiler. See More

Top Con

Very ugly and verbose syntax

Compared to many languages. One tool needed to be productive is the language to be pleasing and effective, yet Rust friction is as high as its safety. See More

Top Pro

Built-in concurrency

Rust has built-in support for concurrency. See More

Top Con

Steep learning curve

Pretty strict and hard to adapt for beginners. See More

Top Pro

Supports cross compilation for different architectures

Since Rust 1.8 you can install additional versions of the standard library for different targets using rustup/multirust. For example: $ rustup target add x86_64-unknown-linux-musl Which then allows for: $ cargo build --target x86_64-unknown-linux-musl See More

Top Con

Not as useful or productive as advertised.

If really out here wanting to use something besides C/C++, in 98% of use cases, would do just as well or be better off using something other than Rust. Will complete the project faster, would be easier, will be happier, and nearly as safe (use newer language with optional GC). See More

Top Pro

Makes developers write optimal code

Rust is a modern programming language written around systems. It was designed from the ground up this way. It's language design makes developers write optimal code almost all the time, meaning you don't have to fully know and understand the compiler's source code in order to optimize your program. Furthermore, Rust does not copy from memory unnecessarily, to give an example: all types move by default and not copy. Even references to types do not copy by default. In other words, setting a reference to another reference destroys the original one unless it's stated otherwise. See More

Top Con

Rust not as safe as it pretends to be

Rust problems: 1) Massive undisclosed usage of unsafe. 2) Massive amounts of memory safety CVEs - see details. 3) Large bloated Rust binaries increase attack surface for exploits. 4) Many corporate types claiming Rust is safe, don't actually program or use it (have some quiet financial interest to push it). See More

Top Pro

Support for macros

When you identify a part of your code which gets repeated often, which you cannot abstract using functions or classes, you can use Rust's built-in Macros. See More

Top Con

Significant time required to understand the language fully

There's the infamous borrow checker for example. See More

Top Pro

Official package manager and build tool

Cargo is the official package manager for Rust. It comes with the language and downloads dependencies, compiles packages, and makes and uploads distributable packages See More

Top Con

Low-level programming language

This means that it encourages the programmer to be very careful in terms of how memory is allocated, etc. Most applications can run without exceeding the capacity of the server, even with an inefficient dynamic scripting language. See More

Top Pro

Easy to write understandable code

While not as verbose as Java, it still is much more verbose than languages like Go and Python. This means that the code is very explicit and easy to understand. See More

Top Pro

Big community

The biggest community contributing to language. See More

Top Pro

Functional programming

Very easy to create functional with some additional from structure application. See More

Top Pro

Excellent syntax

Top Pro

Safety

Top Pro

No GC

Top Pro

Low memory usage

Top Pro

Static compiled & statically linked single file output

Top Pro

Extremely fast code execution

Top Pro

Zero-cost futures or Async IO

Specs

Platforms:Linux, MacOS X, Windows, BSD

License:MIT/Apache

Current stable version:1.71.1

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610 339

score 165 · Answer 5

Common Lisp

Top Pro

Carefully designed for interactive use

Almost all aspects of the language are designed with interactive/repl use in mind. See More

Top Pro

Very Powerful REPL with SLIME

SLIME (Superior Lisp Interaction Mode for Emacs). See More

Top Pro

Condition/restart system

It is easy to recover from errors. Error resolution can be determined by the user at the REPL. See More

Top Pro

Image based runtime

The state of the program may be saved and reloaded as an image, supporting safer modification of the running program. New code may be compiled into the image as the program runs, while late binding ensures that symbol redefinitions take effect throughout the program. See More

Top Pro

Almost as fast as, or faster than, C

Some compilers such as SBCL can be faster than C or other low-level languages, and most compilers can generate fast native code. See More

165 64

score 1307 · Answer 6

Python

Top Pro

Lots of tutorials

Python's popularity and beginner friendliness has led to a wealth of tutorials and example code on the internet. This means that when beginners have questions, they're very likely to be able to find an answer on their own just by searching. This is an advantage over some languages that are not as popular or covered as in-depth by its users. See More

Top Con

Not good for mobile development

You can use frameworks like Kivy, but if your ultimate goal is to write mobile apps Python may not be the best first choice. See More

Top Pro

Active and helpful community

Python has an active and helpful community, such as the comp.lang.python Google Groups, StackOverflow, reddit, etc. See More

Top Con

Inelegant and messy language design

The first impression given by well-chosen Python sample code is quite attractive. However, very soon a lack of unifying philosophy / theory behind the language starts to show more and more. This includes issues with OOP such as lack of consistency in the use of object methods vs. functions (e.g., is it x.sort() or sorted(x), or both for lists?), made worse by too many functions in global name space. Method names via mangling and the init(self) look and feel like features just bolted on an existing simpler language. See More

Top Pro

Easy to get started

On top of the wealth of tutorials and documentation, and the fact that it ships with a sizeable standard library, Python also ships with both an IDE (Integrated Development Environment: A graphical environment for editing running and debugging your code); as well as a text-based live interpreter. Both help users to get started trying out code immediately, and give users immediate feedback that aids learning. See More

Top Con

Language fragmentation (this is finally starting to go away)

A large subset of the Python community still uses / relies upon Python 2, which is considered a legacy implementation by the Python authors. Some libraries still have varying degrees of support depending on which version of Python you use. There are syntactical differences between the versions. See More

Top Pro

Comes with extensive libraries

Python ships with a large standard library, including modules for everything from writing graphical applications, running servers, and doing unit testing. This means that beginners won't need to spend time searching for tools and libraries just to get started on their projects. See More

Top Con

Worst language design ever

Instead of sticking to a certain paradigm, the original writer of the language couldn't make up his mind, and took something from everywhere, but messing it up as he went by. This is possibly one of the worst balanced languages ever. People who pollute their mind with Python and think it's the next best thing after sliced bread, will have to un-learn a lot of garbage 'pythonesque' habits to actually learn how to program. It's not because the academic world uses it a lot, that it's a good language. It says something about the inability of the academic world to write decent code, actually. See More

Top Pro

Can be used in many domains

Python can be used across virtually all domains: scientific, network, games, graphics, animation, web development, machine learning, and data science. See More

Top Con

Hard to debug other people's code

As the structure of Python code is based on conventions many developers are not following them and so it is difficult to follow/extract the design of not trivial application from the code. While this is a con, I see it in other languages as well. It seems to depend on the programmer. Most people don't learn conventions first, they just start programming. Unless you work for someone who insists you follow the conventions, you will probably go with what you like. You might never look at the conventions. See More

Top Pro

Clear syntax

Python's syntax is very clear and readable, making it excellent for beginners. The lack of extra characters like semicolons and curly braces reduces distractions, letting beginners focus on the meaning of the code. Significant whitespace also means that all code is properly and consistently indented. The language also uses natural english words such as 'and' and 'or', meaning that beginners need to learn fewer obscure symbols. On top of this, Python's dynamic type system means that code isn't cluttered with type information, which would further distract beginners from what the code is doing. See More

Top Con

Multi-threading can introduce unwanted complexity

Although the principals of multi-threading in Python are good, the simplicity can be deceptive and multi-threaded applications are not always easy to create when multiple additional factors are accounted for. Multi-thread processes have to be explicitly created manually. See More

Top Pro

Cross-platform

Installs and works on every major operating systems if not already installed by default (Linux, macOS). See More

Top Con

The process of shipping/distributing software is reatively complicated

Once you have you program the process of having a way to send it to others to use is fragile and fragmented. Python is still looking for the right solution for this with still differences in opinion. These differences are a huge counter to Python's mantra of "There should be one-- and preferably only one --obvious way to do it." See More

Top Pro

Has many libraries for scientific computing, data mining and machine learning

Python is commonly used in data science and has many libraries for scientific computing, such as numpy, pandas, matplotlib, etc. See More

Top Con

Limited support for functional programming

While Python imports some very useful and elegant bits and pieces from FP (such as list comprehensions, higher-order functions such as map and filter), the language's support for FP falls short of the expectations raised by included features. For example, no tail call optimisation or proper lambdas. Referential transparency can be destroyed in unexpected ways even when it seems to be guaranteed. Function composition is not built into the core language. Etc. See More

Top Pro

Good documentation

The Python community has put a lot of work into creating excellent documentation filled with plain english describing functionality. Contrast this with other languages, such as Java, where documentation often contains a dry enumeration of the API. As a random example, consider GUI toolkit documentation - the tkinter documentation reads almost like a blog article, answering questions such as 'How do I...', whereas Java's Swing documentation contains dry descriptions that effectively reiterate the implementation code. On top of this, most functions contain 'Doc Strings', which mean that documentation is often immediately available, without even the need to search the internet. See More

Top Con

Unflexible userbase

You will be expected to rigidly stick to the coding practices and to do everything by-the-numbers. One of the most common complaints I heard from people who left Plone, which is Python based, to Drupal, which is PHP based, is the community is more like a frat house than a community. If you look for help, make sure you follow the rules of whatever type of group you are requesting help from. See More

Top Pro

Very similar to pseudo-code

When learning Computer Science concepts such as algorithms and data structures, many texts use pseudo-code. Having a language such as Python whose syntax is very similar to pseudo-code is an obvious advantage that makes learning easier. See More

Top Con

Too opinionated for a general-purpose programming language

While it's a good language to learn and use after you have mastered a couple of other less rigid programming languages, it's definitely not good for first-time learners. Both the language itself and its community have made it quite clear that you should do everything the "Pythonic way" to get the best results, that it feels more like an opinionated framework instead of a general-purpose programming language, which means if you are a first-time learner and getting too "tuned" to the "Pythonic way" it will be much harder for you to learn other less-opinionated languages compared to the other way around. Like any programming languages and/or frameworks, I'd recommend first-time learners to learn less opinionated ones first to open up your mind, then learn some of the more opinionated ones to increase productivity for specific fields of works. After all, programming languages are just some utilities for the human mind to interface with the computers, and there are more suitable tools for different tasks, and you should master the "Pythonic way" (after you already have adequate experience in computer programming) instead of locking your mind too close to the "Pythonic way" as a first-time learner. See More

Top Pro

It's really simple

It's very simple for understanding how programming works. If you don't like programming in Python, you probably won't like programming. It is a good way to find out with little investment. If you like, it is a great language. I wouldn't look for a language that has everything you eventually need to know in programming, such as static typing, in my first language. It should be easy to learn. You can pick up the hard stuff later if you tackle C or C++ or assembler. It will make learning them much easier. If you start with them, you might quit programming due to the difficulty of learning. See More

Top Con

Abstraction to the point of hinderance

Python is abstracted far enough that if it's your first language, it will be harder to pick up lower level languages later versus going the other direction. See More

Top Pro

Easy to find jobs

Python's popularity also means that it's commonly in use in production at many companies - it's even one of the primary languages in use at Google. Furthermore, as a concise scripting language, it's very commonly used for smaller tasks, as an alternative to shell scripts. Python was also designed to make it easy to interface with other languages such as C, and so it is often used as 'glue code' between components written in other languages. See More

Top Con

Does not teach you about data types

Since Python is a dynamically typed language, you don't have to learn about data types if you start using Python as your first language. Data types being one of the most important concepts in programming. This also will cause trouble in the long run when you will have to (inevitably) learn and work with a statically typed language because you will be forced to learn the type system from scratch. See More

Top Pro

Advanced community projects

There are outstanding projects being actively developed in Python. Projects such as the following to name a random four: Django: a high-level Python Web framework that encourages rapid development and clean, pragmatic design. iPython: a rich architecture for interactive computing with shells, a notebook and which is embeddable as well as wrapping and able to wrap libraries written in other languages. Mercurial: a free, distributed source control management tool. It efficiently handles projects of any size and offers an easy and intuitive interface. PyPy: a fast, compliant alternative implementation of the Python language (2.7.3 and 3.2.3) with several advantages and distinct features including a Just-in-Time compiler for speed, reduced memory use, sandboxing, micro-threads for massive concurrency, ... When you move on from being a learner you can still stay with Python for those advanced tasks. See More

Top Con

Might not be very future-proof

Lots of features that will probably be crucial as time goes (good support for parallelism for example) are missing or are not that well-supported in Python. Since 2.x and 3.x still exist, be prepared to switch if something makes 3.x take off in the future. See More

Top Pro

Supports various programming paradigms

Python supports three 'styles' of programming: Procedural programming. Object orientated programming. Functional programming. All three styles can be seamlessly interchanged and can be learnt in harmony in Python rather than being forced into one point of view, which is helpful for easing confusion over the debate amongst programmers over which programming paradigm is best, as developers will get the chance to try all of them. See More

Top Con

Significant whitespace

While proper formatting is essential for any programmer, beginners often have trouble understanding the need and lack the discipline to do it. Add to that all those editors that randomly convert N spaces (usually 8) to tabs and you get an instant disaster. You may need to find yourself an editor/IDE you like and carry it with you on a thumb drive, which isn't a bad idea anyway. See More

Top Pro

Good introduction to data structures

Python's built-in support and syntax for common collections such as lists, dictionaries, and sets, as well as supporting features like list comprehensions, foreach loops, map, filter, and others, makes their use much easier to get into for beginners. Python's support for Object Orient Programming, but with dynamic typing, also makes the topic of Data Structures much more accessible, as it takes the focus off of more tedious aspects, such as type casting and explicitly defined interfaces. Python's convention of only hiding methods through prefacing them with underscores further takes the focus off of details such as Access Modifiers common in languages such as Java and C++, allowing beginners to focus on the core concepts, without much worry for language specific implementation details. See More

Top Con

It is best suited for scripting, but so are many other languages

i.e. running js as a script in a node is trivial. Even languages that were not meant to run as a script are easy to use as a scripting language with just a .sh file. See More

Top Pro

One right way to do things

One of the Guiding Principles of Python is that there should be only one obvious way to do things. This is helpful for beginners because it means that there is likely a best answer for questions about how things should be done. See More

Top Con

Version Confusion with V2.x and V3.x

Top Pro

Easy to learn, More to Go

It is very easy to learn and it has community support and many categories available. See More

Top Con

Bad for games

Python has a lot of frameworks like pygame, but exporting the game is hard and building files like .exe gets very large and have a bad performance on bad computers. See More

Top Pro

Mobile versions

Mobile versions are available but can be difficult to find. Examples for android are pydroid and qpython See More

Top Con

Not a serious coding language

If you consider it your first language, better pick Julia! See More

Top Pro

Interpreters for JS, Microtontrollers, .Net , Java & others

Python is not limited to just be cross platform. It goes far beyond all high level languages since it can run on top of several other frameworks & architectures : Examples of interpreters: Standard (PC Win/Lin/Mac, ARM, Raspberry, Smartphones): CPython usually, but some more specialized for smartphones: Kyvi, QPython, ... Web Browser JS : Brython, PyJS, .Net : IronPython Java: Jython Microcontrollers with WiFi like ESP8266 or ESP32: MicroPython Can be statically compiled (instead of interpreted) with Cython. (Do not mix up with cPython) With python, you're sure your code can run (almost) everywhere, from 2€ computers to the most expensives. So, for instance, with Jython you can access the Java libraries with Python language. See More

Top Con

Fails in comparison to Nim

Everywhere that counts, Nim is superior, according their people. Nim should be standing where Python is. It is only cruel fate and the maneuvers of the cabal that Nim is not standing over Python in victory. See More

Top Pro

Static typing via mypy

Python's syntax supports optional type annotations for use with a third-party static type checker, which can catch a certain class of bugs at compile time. This also makes it easier for beginners to gradually transition to statically typed languages instead of wrestling with the compiler from the start. See More

Top Con

Multi-threaded programs are too slow

Because of the GIL, multi-threaded programs run too slow, in an already slow interpreted language. See More

Top Pro

Has features of both high and low level language

It is somewhere between C and Java. See More

Top Con

Moving large blocks of code in whitespace sensitive languages is scary

Quoting inventor of the V language: "V's syntax is cleaner with fewer rules. Lack of significant whitespace improves readability and maintainability of large code bases and makes generating code much easier. From my experience of working with a huge Python code base, moving large blocks of code in whitespace sensitive languages is scary." See More

Top Pro

Best chances of earning most money

According to Quartz, Python programming skills on average earn $100,000 per year. Closely followed by Java, C++, JavaScript, C, and R with $90,000 per year and above. See More

Top Con

Assignment

Heavily relies on assignment, with no distinction between defining the variable and assigning the value. This makes it necessary to introduce rather complex environmental model of computation. See More

Top Pro

Easy for new users and experienced programmers

(If you can get over whitespace formatting) See More

Top Pro

Import Turtle

Do something visually interesting in minutes by using the turtle standard library package. Turtle graphics is a popular way for introducing programming to kids. It was part of the original Logo programming language developed by Wally Feurzig and Seymour Papert in 1966. Imagine a robotic turtle starting at (0, 0) in the x-y plane. After an import turtle, give it the command turtle.forward(15), and it moves (on-screen!) 15 pixels in the direction it is facing, drawing a line as it moves. Give it the command turtle.right(25), and it rotates in-place 25 degrees clockwise. Turtle can draw intricate shapes using programs that repeat simple moves. Example Turtle Star Drawing from turtle import * color('red', 'yellow') begin_fill() while True: forward(200) left(170) if abs(pos()) < 1: break end_fill() done() See More

Top Pro

Includes pygame library

Want to start game development? No problem! Using pygame open-source library you can fast begin creating games without worrying about pointers or undefined behaviors which they exists in C/C++. See More

Specs

Platforms:Windows, Linux, macOS, AIX, IBM i, iOS, z/OS, Solaris, VMS

Current stable version:3.9.1

GZipped size:22.5MB

Typing discipline:Dynamically typed

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1307 447

score 503 · Answer 7

C

Top Pro

Understanding of computers

Learning C forces you to grapple with the low-level workings of your computer (memory management, pointers, etc.) in ways that the other languages abstract away. Without an understanding of these low-level aspects of computer programming you will be limited if you try to develop an application that needs to run in a memory or performance constrained environment. Other languages like Python can obscure a lot of details, so your foundation may be weaker. See More

Top Con

Languages is full of corner cases and undefined behaviors

Undefined behavior in a program can cause unexpected results, making it hard to debug. With UB, program behavior may vary wildly depending on optimization settings. There are many cases that invoke UB, such as signed overflow, invalid dereferences, large integer shifts, uninitialized variables, etc. These serve to frustrate novice programmers when they could be learning other concepts. See More

Top Pro

Helps with learning other languages later

A lot of languages used in the industry have a C-like syntax (C++, Java, Javascript, C#, PHP) and starting with C will help new developers to be familiar with it's syntax and by extensions with the syntax of many popular languages. See More

Top Con

Requires memory management

Learning programming is already hard enough when you don't have to worry about memory leaks. See More

Top Pro

Industry standard

C is the industry standard programming language, moreover, it is the most popular programming language to use. C is the language used for most Windows, UNIX and Mac operating systems. See More

Top Con

Completely lacks type safety

The C standard library is not type safe, and the language itself does not promote type safety built into the language, which leads to error-proneness of the language. If anything, it would be recommended that those interested in C to instead put their time in D, which actually includes a complete copy of the C standard library rewritten to be fully type safe. See More

Top Pro

Portable

C is portable between most hardware. Generally a C compiler is made for any new architecture, and already exists for existing architectures. C is portable between all operating systems (Windows, UNIX, Mac, etc.) and only needs a program to be recompiled to work. This allows anyone on any operating system to learn about the language and not be held back by intricacies of their operating system. With this said, C's portability these days is not quite what it used to be. Much of said portability relies on the POSIX standard in particular, and as time passes, the compliance of a given system with that standard is becoming less certain; especially in the case of Linux. Most things will still be portable (or at least emulatable) between Windows, Linux, and FreeBSD for example; but you will at times need to make use of platform-specific support libraries and APIs as well. See More

Top Con

C will require you to learn concepts too advanced for most beginners

While other programmers will learn algorithms and structures and will do magic tricks and awesome applications, you will learn trash info that you should know maybe after 5-7 years experience in software development, not earlier. It's like going the first time as a seven year old kid to first school class, and your teacher tells you to learn you about Discrete Math, without basic math and how to do 2x2. If you wish to be a really good programmer, C for sure will be in your portfolio, but not as a first language, and this programming language is used only for very hard and very limited tools which require a lot of professional skills from the programmer. See More

Top Pro

Must-have

Capability to program in C is greatly appreciated in developers, creates an image of competency, and many programmers will learn it at some point in their careers. See More

Top Con

Does not support modules; header file annoyances

Header files are a poor man's implementation of modules. Modern programming languages make use of modules which eliminate the need for C includes and header files and the many issues caused by them, such as the complete lack of dependency checking. Header files often contain even more include statements that point to other header files which also point to even more which drastically increases compile time. Modules only have to be compiled once, and when importing those modules into your software project, you only have to pull in the module that you are using, which is often times already precompiled. This way, the compiler knows exactly what it needs before beginning to compile your project and can automatically compile the few dependencies it needs in advance rather than recursively compiling every header file it runs across as in C. See More

Top Pro

Low level of abstraction

While higher level languages languages like Java and Python provide possibilities to be "more expressive" per line of code, it's much more convenient to start with "less efficient" (get me right) language, in order to get initial concepts of how things behave at lower level. Actually C is a good starting point moving to both higher and lower levels of abstraction, the good example here would be learning C before Assembler, as for general use the Assembler quite hard to understand due to low level of its abstraction (like getting the understanding on how loops work in C before trying to implement them on Assembler). See More

Top Con

Steep learning curve

While the language compliments knowledge of computer components very well, and gives a deeper understanding, it is also quite difficult to learn, and to use correctly, especially without aforementioned knowledge. See More

Top Pro

More control over the code

Top Con

Low-level

Depending on the purpose this can be either a pro or a con. If the task is to learn how to program, low-level of C will impend learning important concepts. Furthermore, C is rather limited in ways of building abstractions. "Low-levelness" of C can be a pro feature in learning system programming. See More

Top Pro

The king of languages, imitated, extended but never equalled

Made of a small set of keywords and rules, only your imagination is the limit. Above all, when it comes to 'pro' programming, C is the only one to rely on. See More

Top Con

Other languages can do it easier or better

There are languages like Rust, Object Pascal, D, Golang, Vlang, Odin, Zig, Jai, etc... that can be used instead. The other languages are easier to understand, use, and/or about as fast. See More

Top Pro

Teaches good practices

Writing in C will require you to understand how things are done. C implies using and understanding the fundamentals. Learning a higher-level language after is much easier. See More

Top Con

Compiles procedurally rather than intelligently

In the same manner that C recursively compiles header files ad infinitum without any sort of dependency checking, C source code is also compiled in the same manner. If you attempt to call a function before it is declared, the compiler will fail because the function was not compiled before it was caled. See More

Top Pro

Portable between CPU architectures

C was designed to be independent of any particular machine architecture, and so with a little care, it is easy to write "portable" programs (see here). By design, C provides constructs that map efficiently to typical machine instructions, and therefore it has found lasting use in applications that had formerly been coded in assembly language like operating systems or small embedded systems. See More

Top Con

Lack of support for first class strings

C does not support the string type, nor does it support UTF-8 strings that modern languages are employing today. Instead of strings, C makes use of the *char type which is a pointer to a character array. See More

Top Pro

C is simple with lesser rules than any other language

C is standardized and it is the go-to language when you have to speed things up. See More

Top Con

Arrays are not first class objects

When an array is passed to a function, it is converted to a pointer, even though the prototype confusingly says it's an array. When this conversion happens, all array type information gets lost. C arrays also cannot not be resized, which means that even simple aggregates like a stack are complicated to implement. C arrays also cannot be bounds checked, because they don't know what the array bounds are. See More

Top Pro

Ubiquitous

There is a C compiler available for probably every computer system in existence today. See More

Top Con

Undefined behaviors and weak limited type safety

Subtle errors can render the entire program "undefined" by the complicated C standard. The standard imposes no requirements in such cases. Thus C compiler is free to ignore the existence of such cases and Bad Things are prone to happen instead. Even experts can't reliably avoid undefined cases in C, so how can beginners be expected to do so? C allows for non-type safe operations such as logic errors, wild pointers, buffer overflow, etc. UB and type safety issues create a large number of bugs and security vulnerabilities. See More

Top Pro

Easy to drop down to assembly

Sometimes you really need to program directly in assembly. C’s ABI and common compiler extensions make this a piece of cake. See More

Top Con

The need for C developers in the current market is very low, and trending downward

Older languages, like C, are no longer in their hay day. Even if you do learn it as your first language, you are only setting yourself up to need to learn another language in the long run. If you want a skill that you can not only learn from, but also potentially build a career on, C should not be your first choice. See More

Top Pro

If you can't grok C you should not be a professional programmer

It sets an early bar that if you can't hurdle you might as well do something other than programming and not waste any more of your time. See More

Top Con

Isn't truly portable or cross platform

The C programming language is not portable to other operating systems, and even different compilers, because the C language does not provide any reference cross platform libraries or compilers. Different platforms and compilers provide their own implementation of the C standard library which may not be compatible with the implementation in another compiler or platform. Without cross platform libraries and tools, one cannot state that C is portable. This is in stark contrast to modern programming languages that provide their own cross platform libraries and compilers, such as D, Go and Rust. See More

Top Pro

Basic concepts can be applied to accelerate learning any other language

You can easily pivot knowledge learned here and apply it to almost every other language. See More

Top Con

Only offers basic support for source code split into multiple files

Modern programming languages are capable of compiling split source code files by concatenating them together efficiently at compile time before compiling them. However, C requires the developer to resort to messing with header files and makefiles to get similar functionality. See More

Top Pro

Foundational, difficult but important

Learning C will teach valuable skills and transferrable understanding of computing. While learning a scripting language may be easier, students will not understand system constraints and performance problems, nor what features like garbage collection are actually doing in other languages. See More

Top Con

C structs are very weak and outdated

C structs lack a lot of modern capabilities that are vital in programming languages of today, such as assigning member functions to structs to give them object-oriented capabilities, constructs, deconstructors and RAII. Great care must be used when using structs in C to prevent memory leaks and ridiculously slow structs. See More

Top Pro

Low level langauge

Top Con

Includes require obscene resources to compile

All the modern languages have resulted in ditching the ancient deprecated model of #include statements and have instead adopted the superior model of modules. When compiling software written in C, the programmer is forced to also compile X headers which contain Y headers which contain Z headers and so forth -- drastically increasing the number of lines that need to be compiled. In order to compile something as simple as "Hello, World", for example, 18K lines of code needs to be compiled. This can be very taxing on RAM and CPU resources, causing compile times to quickly absorb a large portion of the programming process. See More

Top Con

Heavily outdated programming concepts

C lacks a large majority of programming concepts that modern languages make use of today. The existing functionality of C makes use of outdated and deprecated methodologies which can be of great annoyance to the modern day programmer. See More

Specs

Current stable version:C'18

Standard:ISO/IEC 9899:2011/Cor 1:2012 or C11

Typing discipline:static

Paradigm:imperative

See All Specs

See All Experiences

503 215

score 11 · Answer 8

Hy

Top Pro

Python interop

Hy compiles to Python's abstract syntax trees. Python can import Hy modules, and Hy can import Python modules. See More

Top Pro

Easier to read

Distinguished between arrays (or vectors) and function calls by using [] and (), respectively. See More

Top Pro

Copyfree and open source

Uses the MIT (expat) license. See More

11 1

score 959 · Answer 9

Go

Top Pro

Simplified C-like syntax that is as easy to read and write as Python

The language is designed in a manner that seems logical. Syntax is simplified to reduce burden on the programmer and compiler developers. See More

Top Con

Golang controlled by Google

Solves Google problems, which might not be your or the majority of user's problems. Was created for the benefit and purposes of Google, so is less flexible in language direction and options. See More

Top Pro

Great team working behind it

Go has a solid team of engineers working on it (some of the best networking engineers in the world are working on Go). Up until now, the great engineering of the language has compensated for its lack of power. See More

Top Con

Hard to abstract even the simplest notions

Go is famously regarded as very simple. However, this simplicity becomes problematic in time. Programmers who use Go find themselves over and over again writing the same thing from a very low point of view. Domains not already served by libraries that are easy to glue are very difficult to get into. See More

Top Pro

Easy to install and configure; simple to compile software

Go software can be immediately installed, regardless of your operating system, package manager, or processor architecture with the go get command. Software is compiled statically by default so there is no need to worry about software dependencies on the client system. Makefiles and headers are no longer necessary, as the package system automatically resolves dependencies, downloads source code and compiles via a single command: go build. See More

Top Con

Forces K&R style and won't allow Allman style

Golang developers were extremely short-sighted and biased by forcing the K&R style, which should never have happened. Basically kicking Allman style users out of their language. See More

Top Pro

Programmers don't have to argue over what 10% subet of the language to implement in their software project

The language promotes programming in a specific idiomatic style, which helps keep every programmer on the same page. See More

Top Con

Doesn't have true enums

Golang does weirdness with const versus having real enums, like other languages. This reflects the stubbornness and shortsightedness of the core developers, similar to the issue with generics, where it was denied that it was needed until it became too obvious that it should have been added years ago. See More

Top Pro

Supports 'modules' in the form of packages

Every Go source file contains a package line that indicates which package a file belongs to. If the name of the package is 'main', it indicates that this is a program that will be compiled into a binary. Otherwise, it will recognize that it is a package. See More

Top Con

Does not have sum types

Makes it harder to have functions of different parameters types in a non OOP language. Thus messy generics and interfaces, and more confusion, where sum types could have solved a number of issues. See More

Top Pro

Demonstrates a unique, simple concept to object-oriented programming

All types are essentially objects, be they type aliases or structs. The compiler automatically associates types to their methods at compile time. Those methods are automatically associated to all interfaces that match. This allows you to gain the benefits of multiple inheritance without glue code. As a result of the design, classes are rendered obsolete and the resulting style is easy to comprehend. See More

Top Con

It appears Google uses position to snuff out or suppress other languages

Newer languages that could threaten Golang (or other Google controlled languages) appear to have suppressed search results on Google and YouTube. Dangerous situation where large company can manipulate user choice and market share. The freedom to freely choose and user rights need to be protected. See More

Top Pro

Great language for building networking services

Go was started as a systems language but now it has fully committed in the niche of networking services. This has been a brilliant move by Go because it allows them to capitalize on the immense talent of the Go engineering team (who are in the most part network engineers). In a world dominated by Java EE and slow scripting language, Go was a breath of fresh air and it continues to be one of the most powerful languages if you want to build networking services. See More

Top Con

Designed to make the programmer expendable

Go was designed for large team projects where many contributors may be incompetent. That Go can still get things done under these conditions is a testament to its utility in this niche. Go's infamously weak abstraction power is thus a feature, not a bug, meant to prevent your teammates from doing too much damage. This also means any team member can be easily replaced by another code monkey at minimum cost. Good for the company, bad for you. The more talented programmers, on the other hand, will be very frustrated by having one hand tied behind their back. See More

Top Pro

Exceptionally simple and scalable multithreaded and concurrent programming

Goroutines are "lightweight threads" that runs on OS threads. They provide a simple way for concurrent operations — prepending a function with go will execute it concurrently. It utilizes channels for communication between goroutines which aids to prevent races and makes synchronizing execution effortless across goroutines. The maximum number of OS threads goroutines can run on may be defined at compile time with the GOMAXPROCS variable. See More

Top Con

Easy to shadow variable

Due to single character only difference, declare and assign statement can easily shadow variable from outer scope unconsciously. Example: err := nil if xxx { err := somefunctionthatreturnsanerr } return err // always return nil See More

Top Pro

The go compiler compiles binaries instantly — as fast as a scripting language interpreter

Compiled binaries are fast — about as fast in C in most cases. Compiles on every OS without effort — truly cross-platform compiler. As a result of the fast compilation speed, you can use the gorun program to use go source code as if it was a scripting language. See More

Top Con

No forms designer

Those who are used to Visual Studio can feel the lack of a forms designer for rapid development. See More

Top Pro

Performance is on the order of C and Java

Go is blazing fast, but easier to write than Python, JS, Ruby, or many other dynamic languages. See More

Top Con

Bizarre syntactic choices like a unique date format.

Top Pro

Jobs available

You can find a Job knowing Go. Which is more than can be said with many other languages. See More

Top Con

Changing visibility requires renaming all over the code

Top Pro

API documentation is rich in content; easy to memorize

Only features deemed critical are added to the language to prevent cruft from working its way into the language. The language is small enough to fit inside one's head without having to repeatedly open documentation. Documentation is hosted on an official webpage in a manner that is simple to read and understand. See More

Top Con

Lacks support for immutable data

Only way to prevent something from being mutated is to make copies of it, and to be very careful to not mutate it. See More

Top Pro

Supports functional programming techniques such as function literals

This naturally also supports first class and high order functions, so you may pass functions as variables to other functions. See More

Top Con

Performance slowdown because of indirect calls and garbage collection

Practically no meaningful Go application can be written without indirect function calls and garbage collection, these are central to Go's core infrastructure. But these are major impediments to achieving good performance. See More

Top Pro

Multiple variables may be assigned on a single line

This conveniently eliminates the need to create temporary variables. Fibonacci example: x, y = y, x+y See More

Top Con

Implementation of interfaces are difficult to figure out

Finding out what interfaces are implemented by a struct requires a magic crystal ball. They are easy to write, but difficult to read and trawl through. See More

Top Pro

Built-in unit testing

The idiomatic approach to writing a Go software project is to perform test-driven development with unit testing. Every source code file should have an associated *_test.go file which tests functions in the code. See More

Top Pro

Provides tools for automatically formatting code for your entire software project

This helps keep every programmer on the same page in a project and eliminates arguments over formatting styles. See More

Top Pro

Automatically generates API documentation for installed packages

Godoc is provided to automatically generate API documentation for Go projects. Godoc also hosts its own self-contained web server that will list documentation for all installed packages in your Go path. See More

Top Pro

Supports splitting source code into multiple files

As long as every source code file in a directory has the same package name, the compiler will automatically concatenate all of the files together during the compilation process. See More

Top Pro

Syntax for exported code from a package is simplified to be less verbose than other languages

Any variable, type and function whose name begins with a capital letter will be exported by a project, while all other code remains private. There is no longer a need to signify that a piece of code is 'private' or 'public' manually. See More

Specs

Platforms:Windows, Linux, Mac etc.

Developer:Google with Ken Thompson, Robert Griesemer, Rob Pike

Current stable version:1.21.0

See All Experiences

959 235

score 17 · Answer 10

J

Top Con

Syntax is pure madness

quicksort=: (($:@(<#[), (=#[), $:@(>#[)) ({~ ?@#)) ^: (1<#) See More

Top Pro

Every function is an operator

3 classes of operators (verbs, adverbs, and conjunctions) with verbs the most basic function that take either 1 or 2 (infix) parameters. Operators allow function composition with a minimum of parentheses. See More

Top Pro

Simpler Imperative language constructs as failback to functional programming

J also supports multiline functional definitions similar to BASIC/Pascal. Including error handling. See More

Top Pro

Compiled language speed from interpreted language.

Each built in operator is a C/asm function, and special code further optimizes some operator combinations. Result is optimized C speed from quick parsing. Array orientation parses and compiles a function once, and applies it to all array items. See More

Top Pro

25 year old language, with core unchanged in last 10 years

Still actively developed, but most recent changes have been in libraries and IDE and platform support. Language is considered "perfected"... though not quite. See More

Top Pro

Language reference has simple one page index

Complete core programming functional tools allow writting programs and libraries without imports. See More

Top Pro

No operator precedence rules

(... within each of the 3 operator classes) makes reading code easier. Very simple parsing rules. See More

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17 8

score 536 · Answer 11

Clojure

Top Con

Confusing error messages

Clojure's error messages more often than not are very confusing. They usually involve stack traces that do not thoroughly explain where the error was caused or what caused it. See More

Top Pro

Immutability is the default

Clojure programmers are highly encouraged to use immutable data in their code. Therefore, most data will be immutable by default. State change is handled by functions (for transformations) and atoms (an abstraction that encapsulates the idea of some entity having an identity). See More

Top Con

Code tends to be nightmare to maintain for non-authors

Tendency to devolve into difficult to manage mess of styles. Not recommended for professional use. See More

Top Pro

Minimal syntax

Being a LISP, programs are simple: they're just functions and data. That it doesn't get bogged down with syntax or the loftier FP concepts like monads makes it one of most approachable functional languages for beginners. See More

Top Con

Too cult-ish

Way too niche and in-group behavior, while trying to trash other languages. Only pays for select few, who run the "game" on others. See More

Top Pro

Tries to solve problems as simply as possible

Simplicity is one of the pillars on which Clojure is built. Clojure tries to solve many problems in software development as simply as possible. Instead of building complex interfaces, objects or factories, it uses immutability and simple data structures. See More

Top Con

Tied to the JVM and it's limitations

Some language constructs were obviously created as workarounds for JVM limitations. This makes the language much less elegant than it could have been. Also, the JVM has a very cumbersome FFI. See More

Top Pro

Good for writing concurrent programs

Since Clojure is designed for concurrency, it offers things like Software Transaction Memory, functional programming without side-effects and immutable data structures right out of the box. This means that the development team can focus their energies on developing features instead of concurrency details. See More

Top Con

Syntax can be alien / jarring for those used to other Lisps

Perhaps some may consider this attribute an advantage, but I do not. Clojure does not attempt to maintain significant compatibility with other Lisps. So, if you already know a Lisp or are used to the way Lisp works in general, you'll probably be confused if you take a look at Clojure. See these resources for more details on this subject: https://clojure.org/reference/lisps http://stackoverflow.com/q/6008313/2636454 http://gilesbowkett.blogspot.com/2015/01/one-major-difference-between-clojure.html http://softwareengineering.stackexchange.com/q/153128/166211 See More

Top Pro

Huge ecosystem of libraries to work with

There's a very large ecosystem of high-quality Clojure libraries which developers can use. One example is Incanter. It's a great data analytics library and a very powerful tool for dealing with matrices, datasets and csv files. See More

Top Pro

Cross platform

Clojure compiles to JVM bytecode and runs inside the JVM. This means that applications written in Clojure are cross-platform out of the box. See More

Top Pro

Rich Hickey

The creator is so awesome, he's a feature. Just look up his talks and see why. See More

Top Pro

Dynamic language

A superb data processing language. While rich type and specification systems are available they are optional. See More

Top Pro

Extensible

Clojure has an elegant macro system which enables language additions, Domain-specific languages (DSLs), to be created much easier than most other languages (with the exception of Racket, perhaps). See More

Top Pro

Great tool used in automating, configuring and managing dependencies available

Leiningen is a very useful tool for Clojure developers. It helps wiht automation, configuration and dependency management. It's basically a must for every Clojure project. See More

Top Pro

No C/Java syntax

Refreshing, BTW! See More

Top Pro

Game is available with which you can learn Clojure

Nightmod is a tool used to make "live-moddable" games. It displays the game's code while you are playing and allows you to inject new code using Clojure. This can be a fun and useful experience for people trying to learn Clojure. See More

Specs

Platforms:Windows, Linux, Mac

Current stable version:1.10.1

GZipped size:3.7Mb, requires JAVA

Site:www.clojure.org

See All Experiences

536 173

score 229 · Answer 12

Lua

Top Pro

Very easy to integrate with C and C++

One of the best features of Lua is its very well designed C API. This is very useful if you have an existing C library you need to integrate with Lua or quickly get a Lua script running on the C side of the game. Finally Lua plays so nice with C that if you need to optimise for speed you can re-write it in C a lot easier than other languages. See More

Top Con

Easy to make mistakes when declaring variables

When writing a function, if a programmer forgets to declare a variable, that variable will be declared at global scope. The code will seem to run fine at first, but if another function uses a variable with the same name, but fails to declare it, it will create subtle, incredibly difficult to find bugs. See More

Top Pro

Great documentation

The official Lua documentation is very helpful and thorough. There are also a large number of online resources or books with lots of helpful information for beginners and advanced users alike. See More

Top Con

Some concepts may not be applied to other "mainstream" programming languages

Lua features a prototye-based inheritance model. While this is also used by Javascript, it's not used by many other mainstream languages, and so some of the concepts learned while learning Lua won't be very applicable to other languages. Another thing that makes Lua different from other programming languages, is the fact that Arrays start at 1 instead of 0. While helpful for beginners, it can complicate logic and make it very confusing when switching languages. See More

Top Pro

Portable

Lua can be built on any platform with a ANSI C compiler. Other than that, Lua is extremely small. For example, the tarball for Lua 5.2.1 is only 245K compressed and 960K uncompressed (including documentation). When built on Linux, the Lua interpreter built with the standard libraries takes 182K and the Lua library takes 243K. The small size and the ability to build with a C compiler make Lua an extremely portable language that can run on a lot of different systems and computers. See More

Top Con

Batteries not included

Lua is so small mainly due to many of the components not being included in the core package. A lot of people need the functionality provided by the Lua module management system LuaRocks and libraries such as Penlight. See More

Top Pro

Simple

Easy to learn. See More

Top Pro

Fast

Lua's performance compares very well to other languages, If performance needs to be further improved you can: Implement critical parts in C Use the LuaJIT compiler. The LuaJIT compiler is a drop in replacement for the stock compiler and provides significant performance improvements. From the overview page: LuaJIT speeds can rival code written in C. See More

Top Pro

Embeddable

Many different game engines (e.g. Elder Scrolls series, ToME) use Lua for scripting, and it's runtime is designed for embedded use. See More

Top Pro

Clean and simple syntax suitable for beginners

The Lua syntax is modeled from Modula, a language known for being a fantastic introduction to programming. The Lua syntax also has the following key characteristics: Semicolon as a statement separator is optional (mostly used to resolve ambiguous cases as in a = f; (g).x(a)). Syntactic sugar for function calls (f'string', f"string", f[[string]], and f{table}) and method calls (obj:m()). See More

Top Pro

Helpful community

Due to the growing popularity, Lua has a rather large and helpful community surrounding it. See More

Specs

Platforms:Windows, Mac, Android, Linux

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229 85

score 176 · Answer 13

F#

Top Pro

Concise syntax

F#'s syntax tends to be terse while remaining very readable and easy to understand without being a chore to write. See More

Top Con

Has no ad-hoc polymorphism (á la Type Classes)

You have generics, you have interfaces, you have inheritance, you have a lot of things at your disposal but you don't have Type Clases. They can be emulated using some clever constructs but there's nothing like having the real thing. See More

Top Pro

Easier transition from other paradigms

Since F# is not a purely functional language, it lends itself to being more easily picked up by programmers that have experience with other paradigms. See More

Top Con

Infested with OOP

Still relying on .NET OOP libraries. See More

Top Pro

.NET Interoperability

Since F# runs on the Common Language Runtime or CLR, it has access to the entire .NET Framework, as well as libraries written in other .NET languages such as C#, VB.NET, and C++/CLI. See More

Top Pro

Multiplatform, it runs on .Net Core

Forget Xamarin and Mono. F# now runs on the multiplatform .Net Core! See More

Top Pro

You can run F# in the browser

Thanks to a project like Fable, you can write and run your client app in F# and run it over JavaScript. It allows you to share code between your server and client. See More

Top Pro

Natively supported by Visual Studio

This is a .Net language natively supported by Visual Studio. Though it is not as tooled up as C# the support is still substantial. In particular, C# deployment scenarios can be enabled for it with small C# wrapper projects. Integration with Visual Studio provides: IntelliSense, debugging, projects an other features. See More

Top Pro

Fall into the pit of success

F# directs you into a workflow where the right way is the path of least resistance. Coming from a C# background, its restrictions might feel arbitrary at first (e.g., what do you mean my code has to be in dependency order!? Arbitrary alphabetical or bust!), but you'll soon realize that your code is cohesive, concise and consistent in a way that it never was before - and you can compile and run with confidence! See More

Top Pro

F# is supported by Xamarin

Thanks to Xamarin, F# is a functional language that you can use to build for iOS, Android and Windows. See More

Specs

License:Apache 2.0

Current stable version:6.0

IDE Support:Visual Studio, Code, Rider

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176 84

score 93 · Answer 14

OCaml

Top Pro

Actively-developed functional programming language at the forefront of research

Functional programming is based on the lambda calculus. OCaml is in its functional parts almost pure lambda calculus, in a very practical manner: useful for many daily programming tasks. The acitve development makes improvements to the type system like generalized algebraic data types (GADT) or polymorphic variants, so when learning this language you get at once a down to earth usable compiler and advanced abstraction features. See More

Top Con

Strong focus on *nix systems, lacking native support for MS Windows

Lacks native support for Windows systems. See More

Top Pro

Encourages functional style

It steers you towards a functional style, but doesn't bother you with purity and "monads everywhere" like other languages, such as Haskell. See More

Top Pro

No windows!

Strong focus on *nix systems, lacking native support for MS Windows Lacks native support for Windows systems. See More

Top Pro

Sophisticated and easy-to-use package manager

OPAM is a package manager for OCaml, which is really easy to use, just like npm. It creates a .opam folder in home directory. The documentation is great as well, and you can switch between multiple versions of OCaml for each project. You can also package your project and publish it on OPAM repositories, even if the dependencies do not exists on OPAM. See More

Top Pro

One of the best for writing compilers

OCaml is compiled to native binary, so it's amazingly fast. Being a member of ML-family languages, it has expressive syntax for trees, and has great LLVM support. See More

Top Pro

Stable syntax

The syntax is consistent, some syntaxic sugar but at a reasonable level, so reading code of others isn't too much confusing. See More

Top Pro

Strong editor integration

The merlin editor tool provides all you need to develop OCaml in your favourite editor. See More

Specs

License:LGPL version 2.1

OS:Linux, Windows, OSX, BSD

Price:Open source (Free)

Current stable version:4.0.7

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93 51

score 257 · Answer 15

Scala

Top Con

Can be intimidating for beginners

Scala is an industrial language. It brings functional programming to the JVM, but not with a "start small and grow the language" perspective, but rather a very powerful language for professional programmers. See More

Top Pro

Immutable values

The immutable values make it perfect for working with concurrency See More

Top Con

Way too complex for beginners

Even for seasoned programmers it's a difficult language. See More

Top Pro

Multiparadigm

Scala supports both Functional and Object Oriented styles of programming. Beginners can learn both paradigms without having to learn a new language, and experts can switch between the two according to what best suits their needs at the time. See More

Top Con

Static type system inherits cruft from Java

The type system is too complicated yet still less powerful than Haskell's. See More

Top Pro

Type inference

Scala offers type inference, which, while giving the same safety as Java's type system, allows programmers to focus on the code itself, rather than on updating type annotations. See More

Top Pro

Compiles to JVM bytecode

Aside from Java itself, Scala is by far the most popular of the many JVM languages. If you're developing for Android, or a similar JVM-only platform, or otherwise need out-of-the-box cross-platform compatibility, but the performance of a compiled language, Scala is the way to go. See More

Top Pro

Very good online courses

On coursera you can find great introduction to Scala by Martin Odersky. See More

Top Pro

Type inference leads to a simpler syntax

Top Pro

Expressive functional programming abstraction for reusable and safe code

Specs

Price:Open Source (Free)

Current stable version:2.13.1

Site:scala-lang.org

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257 132

score 159 · Answer 16

Scheme

Top Pro

Simple syntax

Scheme syntax is extremely regular and easy to pick up. A formal specification of the syntax fits onto just a few pages; it can be introduced informally in a paragraph or two. Students are not distracted by remembering how to write if statements or loops or even operator precedence because every syntactic follows the same pattern. Ultimately, everything looks something like this: (func a b c) This includes not only user-defined functions but even control flow: (if cond then-clause else-clause) or even primitive operations like define and set: (define foo 10) (set! foo 11) This means that nothing really has special syntactic treatment in the language. There are essentially no weird edge-cases to memorize, and different concepts are given a more equal weight in the language. (Unlike Algol-like languages which tend to given undue weight to loops and assignment statements, for example.) See More

Top Con

Little job market

There are little to none jobs searching for a Scheme programmer. The ones that exist are more related to Research in Maths or Artificial Intelligence. See More

Top Pro

No magic - it's clear how everything works

Scheme has far less built into the language itself, helping students see that things like OOP are not magical: they are just patterns for organizing code. Everything in Scheme is built up from a very small set of primitives which compose in a natural and intuitive fashion. Having a language that does not accord many things special status helps keep students open minded. This will help students later go between different languages and paradigms from procedural to object-oriented to functional. See More

Top Con

A language that is purely academic

If someone said "I am starting a project in Scheme" then they are either talking about their homework or they are starting a joke. See More

Top Pro

Great at teaching fundamental programming ideas

Scheme teaches the important, fundamental ideas immediately without the distraction of unnecessary syntax or language features. See More

Top Con

Fragmented ecosystem

Scheme is an IEEE standard, not an implementation. Unfortunately, the standard is too minimal and practical implementations have diverged--they had to expand on the standard to get anything done, but did so in incompatible ways. The later de facto standard R6RS tried to correct this, but lost Scheme's minimalist elegance in the process. The newer R7RS standard takes the best of both worlds with an elegant minimalist core and a practical standard library. See More

Top Pro

Multi platform

GNU/Linux, OS X, and Windows versions available. See More

Top Con

Very different semantics from mainstream programming languages

LISP-like languages are very different from mainstream languages (such as C/C++/Java/JavaScript/Python/you-name-it) - both in semantics and syntax. This, in turn, severely limits uses of whatever-learned-with-Scheme, for real-world use. See More

Top Pro

Great, well known textbooks

There is a set of very strong textbooks introducing CS and programming using Scheme. These books are available for free online. The most famous example--and one of the most famous CS books full stop--is Structure and Interpretation of Computer Programs usually known as SICP. This book introduces fundamental ideas in computer science and covers an incredible amount of material quickly and clearly without requiring any prior knowledge. However, some people find SICP a bit challenging as a first text. Happily, there are other more introductory texts as well. Simply Scheme is a book designed to be read before SICP, easing beginners into the language as well as CS and programming in general. How to Design Programs is another text used in introductory college courses. See More

Top Pro

Encourages creativity

Top Pro

Robust metaprogramming

The quotation functionality of Lisp allow for extremely powerful, yet syntactically straightforward metaprogramming via macros. This is more powerful than the C preprocessor while being less involved than something like Template Haskell or F# quotations. Using macros to properly decompose a problem domain teaches new developers good habits, improving composibility and reliability when tackling large programs. Scheme metaprogramming also serves as a gentle introduction to domain specific languages. See More

Top Pro

Multiparadigm

Unlike most languages, Scheme actually accords both functional programming and imperative programming roughly equal status. Many other languages like Python and Java are staunchly imperative while SML and Haskell are primarily functional; Scheme is a nice middle ground. Additionally, since Scheme syntax is extremely flexible, it can easily be re-purposed for teaching non-deterministic and logic programming. There is no need to learn a new language like Prolog when the same ideas can easily be expressed with Scheme syntax. This gives students a good perspective on different ways to think about and organize programs, which makes it much easier to move forward to other languages and technologies. See More

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159 101

score 77 · Answer 17

Swift

Top Pro

Modern syntax

Top Con

Swift is a moving target

They've released 1.2 so far, and 2.0 is coming soon. Every small update brings adjustments to paradigms (such as how to do type casting) that can be a little frustrating to absorb. Objective C was also constantly updating, however, but not at the same rate these days. See More

Top Pro

Swift is closer to other platforms

Apple’s modern programming language is easier to understand for non-iOS developers and minimizes time for additional explanations and clarifications. Moreover, Swift can be used as a script language. It is an interesting solution for the iOS community to unify writing of build scripts. At the time being iOS developers are split up in regard to this activity. Some of them write build scripts in Bash, others use Ruby, Python, etc. Swift gives an amazing opportunity to be applied to all iOS programming needs. More details can be found here https://mlsdev.com/blog/51-7-advantages-of-using-swift-over-objective-c See More

Top Pro

Works with Apple's Cocoa and Cocoa Touch frameworks

Top Pro

Can be used as a Just-In-Time language

Top Pro

Inherent parallelism

Top Pro

Low memory footprint due to reference counting

Top Pro

Backed by Apple

Top Pro

Performance speed comparable to native C

Top Pro

Swift has some clever tricks up its sleeve

Due to having elements of a functional programming language. Things like 'map' and 'filter' for example. See More

Top Pro

Uses LLVM compiler and Obj-C runtime allowing C, Objective-C, Objective-C++ and Swift code to run side by side within a single program

Specs

Platforms:Mac, Linux

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77 57

score 7 · Answer 18

Lobster

Top Pro

Compile time reference counting

Unlike Rust doesn't make the programmer jump through hoops, mainly automatic. Does an analysis similar to the Rust borrow checker to infer lifetimes, but makes life easier on the programmer. See More

Top Con

Small community

Lead doesn't appear to be so ambitious or has a vision to push making more popular. See More

Top Pro

Python-esque syntax

There's an audience who loves that. See More

Top Con

Compile time reference counting not 100%

Around 5% of time, need to escape to runtime reference counting. Working to get the percentage as low as possible. See More

Top Pro

WebAssembly backend

More options for users. See More

Top Con

Lobster not yet totally written in Lobster

Core written in C++. Plans to change that, but has been a long time. See More

Top Pro

Inline structs

Structs are allocated in their parent, and come at zero overhead. See More

Top Con

Python-like syntax, but different use case and domain

Not Python compatible and often significantly different in purpose and use cases. See More

Top Pro

Automatic memory management

Better than Rust. No sadism. See More

Top Pro

Type inference algorithm

Just works. Goes further than most languages in terms of allowing code without types. See More

Specs

Platforms:Windows, Mac, Linux, Android, iOS

License:Apache v2

Developer:Wouter van Oortmerssen

Current stable version:v2023

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7 0

score 9 · Answer 19

APL

Top Pro

High-level

No complicated loop processing to apply a function to a array of arrays. Functions are defined in a way that they will typically operate the same way on any number of array dimensions. This, along with the clear syntax, leads to very compact code that can be comprehended in a single line, rather than spread out over many pages. See More

Top Con

Hieroglyphics

APL symbols are only used by APL. You have to learn how to type them and how to read them. It doesn't work well with standard text editors , version control systems, search engines, or web forums. This makes it difficult for a beginner to find help. See More

Top Pro

Iverson award in 2016

Top Con

Does not prepare you for most of the practical programming languages of today

While APL does have a strong use in certain areas (mostly mathematically intensive applications), it is a Domain-Specific language. That along with the fact that its syntax is not similar to C-like or other common syntax forms means that learning APL and expecting it to help you with learning other languages is like learning Calculus and expecting it to make English easier. See More

Top Pro

Very concise

Top Con

Write-only language

Maybe you can learn to read it with experience. And an interpreter. Reading APL is like reading a college math book. You might have to study a single line for fifteen minutes to understand what it's doing. And that's if you're an expert at APL. This also applies if you wrote it yourself more than a month ago. hopefully you have comments. See More

Top Pro

Clear syntax

There is no operator precedence to memorize, as everything is evaluated right-to-left. E.g., in APL 3*10+3 = 39. You do have to type in some otherwise unusual characters, such as ↓ and ∊, but those are easy enough to pick up -- and they have the advantage of being easily remembered once understood, as they often have some connection to common mathematical symbols. See More

Top Con

Flawless diamond

You can't extend the language itself. (J does this better.) Of course, what's built in is quite powerful. See More

Top Pro

Terse

You can seriously implement Conway's Game of Life in one line. There's a reason we do algebra with symbols instead of story problems. APL is good as a language of thought, since you can hold entire algorithms in your head at once. See More

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9 16

score 10 · Answer 20

ATS

Top Pro

Built-in formal specification

ATS has a theorem-proving type system powerful enough to prove that its functions meet their specifications. This happens at compile time with no performance impact at runtime. This can be used to prove that an ATS program doesn't have bugs commonly found in C++ programs, like "this function never leaks memory" or "this program never attempts to divide by zero" or "this buffer never overflows" or to verify pointer arithmetic, etc. See More

Top Con

No Windows version

But it does run on Cygwin. See More

Top Pro

Free and open-source compiler

The compiler (ATS/Postiats) is GPLv3. See More

Top Pro

Functional programming

The syntax is ML-like with the usual functional language features like pattern matching and tail-call optimization. See More

Top Pro

High-performance systems language

ATS works as a low-level systems language. ATS programs have performance and footprint comparable to programs written in C/C++. See More

Top Pro

Good module system

Similar to Modula-3. This makes ATS a viable choice even for large-scale projects. See More

Top Pro

Safe concurrency

ATS can prove its concurrent programs have no deadlocks or race conditions. See More

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10 1