When comparing Python vs Java, the Slant community recommends Python for most people. In the question“What is the best programming language to learn first?” Python is ranked 1st while Java is ranked 23rd. The most important reason people chose Python is:
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.
Specs
Ranked in these QuestionsQuestion Ranking
Pros
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.
Pro Active and helpful community
Python has an active and helpful community, such as the comp.lang.python Google Groups, StackOverflow, reddit, etc.
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.
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.
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.
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.
Pro Cross-platform
Installs and works on every major operating systems if not already installed by default (Linux, macOS).
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.
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.
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.
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.
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.
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.
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.
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.
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.
Pro Easy to learn, More to Go
It is very easy to learn and it has community support and many categories available.
Pro Mobile versions
Mobile versions are available but can be difficult to find. Examples for android are pydroid and qpython
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.
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.
Pro Has features of both high and low level language
It is somewhere between C and Java.
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.
Pro Easy for new users and experienced programmers
(If you can get over whitespace formatting)
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.
from turtle import *
color('red', 'yellow')
begin_fill()
while True:
forward(200)
left(170)
if abs(pos()) < 1:
break
end_fill()
done()
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++.
Pro Consistent programming standards
Most Java code follows very standardized coding styles. This means that when you're starting out, there are fewer questions about how you should implement something as the programming styles and patterns are well established and consistent. This consistent style means that it's often easier to follow others' example code, and that it's more likely to meet at least a certain minimum standard of quality. This discipline with consistent stylistic standards also becomes useful later, when collaborating on projects with larger teams.
Pro Massive amount of libraries and APIs
Java has been around for such a long time that there have been tens of thousands of APIs and libraries written for almost anything you want to do.
Pro Most commonly used language in industry
Java is one of the most popular languages in industry, consistently ranking either first, or occasionally second (behind C or Javascript) in terms of usage. Polls (see sources below) show it to be consistently in high demand, particularly as measured by job board postings. This makes Java a great time investment, as you will be easily able to get a job utilizing your skills, particularly as those Java applications in production now will continue to need maintenance in the future. It also results in great support for tools and plenty of computer science books, example projects and online tutorials.
Pro Fantastic IDEs
Because Java is statically typed, integrated development environments (IDEs) for Java can provide a lot more feedback on errors you will encounter. Java IDEs can give you specific errors in the location where they occur without having to run the code every time. This makes is faster to debug and learn from your mistakes.
IDEs also have extensive auto complete capabilities that can help you learn the programming libraries you are using faster and tell you what functions are available.
Pro Introduces you to object oriented languages
Object Oriented Programming (OOP) is a paradigm that teaches you to split your problem into simpler modules with few connections between them; it's the most common paradigm used in industry. Java is the best choice as an introduction to object oriented languages because, as a statically-typed OOP-only language, it very clearly highlights core OOP principles such as encapsulation, access control, data abstraction, and inheritance.
While a scripting language provides more flexibility and terseness, learning a scripting language first would not instill these fundamental concepts as well, as they tend to obscure details such as how types work, and are less encouraging of an object oriented style.
Pro Best introduction to "C style" languages
The Java syntax is very similar to other C style languages. Learning the fundamentals of Java will port over well to other languages so you can apply what you've leaned to other languages afterwards.
Pro Platform Independent
Because of the Java Virtual Machine, the Java programming language is supported wherever a JVM is installed.
Pro You know what you do, and still simple
Because everything is typed and there is no silent cast or fail, you exactly know what you are manipulating, and there's no magic.
Have you ever watched a beginner struggling with a "couldn't call method x on y" in python or Javascript? These languages don't teach you what proper types are.
Java is one of the simplest languages to learn these basic concepts you find in every programming language.
Cons
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.
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.
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.
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.
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.
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.
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."
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.
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.
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.
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.
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.
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.
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.
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.
Con Version Confusion with V2.x and V3.x
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.
Con Not a serious coding language
If you consider it your first language, better pick Julia!
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.
Con Multi-threaded programs are too slow
Because of the GIL, multi-threaded programs run too slow, in an already slow interpreted language.
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."
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.
Con Too verbose
- A Hello world needs package, class, static method and the actual
printf
. - Reading a line from input requires instatiating 5 objects in the right order.
- Exceptions are everywhere, particularly since all values are nullable.
- Java has a getter/setter culture, but without native syntax support.
- portable Java code lacks anonymous functions, and continues to lack good support for partial application, compensating instead with verbose design patterns, kludges like anonymous inner classes, or just inline code.
- It is statically typed without type inference, with a culture that promotes long class names.
- Poor support for sum-types and pattern matching leads to overuse of inheritance for dynamic dispatch and chains of nested conditionals
Especially for beginners, this can make reading Java code feel overwhelming; most Java courses tell students to simply copy, paste, and ignore a significant percentage of the code until they've learned enough to understand what it means.
For experienced programmers, this makes Java feel tedious, especially without an IDE, and actively discourages some solutions and some forms of abstraction.
Con Confusing mis-features
Some features in Java can be quite confusing for beginners.
Encapsulation is needlessly obfuscated with a confusing access control model. As an example, the "protected" keyword not only grants access to child classes, but to the entire package. Since small programs are written as one package, it becomes functionally equivalent to "public".
In OOP, everything is supposed to be an object, but, in Java, primitive types such as integers, booleans and characters are not, and must be handled as special cases.
Java continues to lack many high-level features, and, particularly prior to Java 7, compensated by adding confusing Java-only features, such as anonymous subclasses. Some example code is unreadable without knowing a special-case feature, libraries differ in style based on when they were released or what platform they target(e.g., Android vs. Desktop), and some solutions just aren't available on some platforms.
Con Locks you into the static OOP mindset
Overly focuses on class-based OOP to the detriment of programmer freedom or alternative paradigms that are better for various problems. Traps programmers into an always use class-based OOP mindset.
Con Half-baked generics
Type erasure means it doesn't even exist at runtime. The whole generics system is confusing for beginners.
Con Slow and heavy
Too far from the machine hardware.
Con Too much hype and useless complication
I've been developing in Java for 20 years and I love this language, I've never used a better designed one over the last 30+ years. However, starting with version 6, the number of really useful features in each release has steadily decreased. There is now too much marketing in Java's evolution and too few concern about developers' needs (the functionalities of the applications we develop haven't changed and enterprise application architecture is much simpler than 20 years ago). I'm deeply sad to say that today, learning Python is a much wiser choice.
Con Garbage collection may teach bad habits
Java is a garbage collected language and it does not force programmers to think about memory allocation and management for their programs. This is fine most of the time. However, it may cause some difficulties in adjusting to a non-GC language (such as C for example), where memory management needs to be done manually. But if good coding practices and habits are followed, this shouldn't be much of a problem.
Con Long learning curve
Con Worst-of-both-worlds static type system
It's just barely good enough to make decent IDEs, but it's not at the level of Idris or even Haskell. For large enterprise projects, the IDE support is important, but the static typing in Java just gets in the way for the smaller projects beginners would start with.
Python is duck typed and this makes small programs easy to develop quickly, but the price is that you have to write unit tests to avoid breaking larger programs. In contrast, you can be reasonably certain that a program that actually compiles in Idris does what you want, because assertions are built into the powerful type system. Java can't make that claim and still requires unit tests. Java has the worst of both worlds because of its poor static type system.
Con Static typing but no type inference
The type system gets in your way more than it helps. Heavy IDE support is absolutely required for reasonable productivity. This means beginners have to learn not just the language, but eventually a complex, heavyweight IDE too.
Con Lacks modern features
Java evolves very slowly - lambda expressions weren't available until Java 8 (which is not available on Android), and despite getters/setters being a long-time convention, the language still doesn't have native accessor syntax (a la C#'s properties). It's unlikely newer, popular features like list comprehensions or disjoint union types will be available anytime soon. While not strictly required for novice programmers, these make problems more complicated and tedious than they need to be - for example, when a simple local function would do, (portable) Java demands anonymous inner classes, an interface and a class, or worse, no abstraction at all.
Con Anything java can do, C# does better and more elegant.
Since C# came later, it could avoid the blatant mistakes made in Java.
Con Enforces some misguided principles
Java utilizes principles that primarily organize code into "classes" as the central concept, instead of more familiar organizational methods.
Con Checked exceptions
Checked exceptions add significantly to the cognitive load of the beginner. The more rules unrelated to the actual task that you pile onto the beginner, the slower he gets. Exponentially. And for what? Sure, they look good on paper, but checked exceptions are useless in the real world. They don't scale.
When you're calling APIs five levels deep and your method's throws clause balloons to 80 exceptions you might see, it gets kind of ridiculous. So you just say throws Exception
, which defeats the whole feature, but is more pointless boilerplate in an already tediously verbose language.
Or worse, while developing you can't be bothered and just catch{}
and silently swallow them all. Then you forget about it. Now you don't even have exceptions. The cure is worse than the disease!
So the wiser Java programmers will wrap all checked exceptions into a runtime exception, effectively making exceptions unchecked. That's at the cost of more boilerplate, but it's the lesser of evils. Unfortunately, Java doesn't even have macros to do this part for you. Maybe your IDE can write code templates for you, but that doesn't make it any easier to read.