When comparing C vs Python, 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 C is ranked 3rd. 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 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.
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.
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.
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.
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.
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).
Pro More control over the code
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.
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.
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.
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.
Pro Ubiquitous
There is a C compiler available for probably every computer system in existence today.
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.
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.
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.
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.
Pro Low level langauge
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++.
Cons
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.
Con Requires memory management
Learning programming is already hard enough when you don't have to worry about memory leaks.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.