Software Alternatives & Startups

C (programming language) VS Python

Compare C (programming language) VS Python and see what are their differences

C (programming language)

C is a general-purpose computer programming language.

Rating
0 reviews
Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.

Rating
0 reviews
Pricing
Open source

Which is more popular?

Based on our record, Python seems to be more popular. It has been mentioned 301 times since March 2021.

social mentions
0 vs 301
Programming Language popularity
10% vs 90%
alternatives listed
55 vs 161

Base details

Website, pricing, platforms and company facts side by side.

C (programming language)
Python
Website open-std.org python.org
Pricing —
Open source
Listed in

About C (programming language) and Python

In their own words, as submitted to SaaSHub.

C (programming language)
Python

No description of C (programming language) yet.

Find popular and trending Python projects on LibHunt

Read more about Python

Features and specs

What each product offers, as listed by its team.

C (programming language) 6 features
Python 6 features
  • Efficiency
    C programming language is known for its performance efficiency due to minimal runtime and direct mapping to machine instructions.
  • Portability
    Programs written in C can be compiled and run on various platforms with minimal modifications, making it highly portable across systems.
  • Rich Library Support
    C provides a vast collection of libraries that offer numerous functions for tasks ranging from mathematical computations to input-output operations.
  • Flexibility
    C provides a versatile framework for writing various applications, including system software, and is suitable for low-level programming.
  • Control
    C offers extensive control over system resources and memory, which allows for efficient system programming and hardware manipulation.
  • Well-Established Standards
    C has a well-defined standardization (ANSI C), which helps maintain consistency and reliability across different applications and platforms.

Possible disadvantages

  • Low-level Abstraction
    C offers little abstraction from hardware, making it necessary for programmers to manage memory and system resources directly.
  • Complex Syntax
    C programming language has a somewhat complex syntax that may be difficult for beginners to grasp.
  • Manual Memory Management
    C requires explicit memory management, increasing the risk of memory leaks and buffer overflows if not handled properly.
  • Limited Error Handling
    The language provides limited support for error handling, often requiring codes to be written for error checking manually.
  • No Built-in Object-Oriented Programming
    C does not inherently support object-oriented programming paradigms like classes and inheritance, which are prevalent in modern programming.
  • Security Vulnerabilities
    The lack of built-in security features can expose programs to vulnerabilities such as buffer overflow attacks.
  • Easy to Learn
    Python syntax is clear and readable, which makes it an excellent choice for beginners and allows for quick learning and prototyping.
  • Versatile
    Python can be used for web development, data analytics, artificial intelligence, machine learning, automation, and more, making it a highly versatile programming language.
  • Large Standard Library
    Python comes with a comprehensive standard library that includes modules and packages for various tasks, reducing the need to write code from scratch.
  • Strong Community Support
    Python has a large and active community, which means a wealth of third-party packages, tutorials, and documentation is available for assistance.
  • Cross-Platform Compatibility
    Python is compatible with major operating systems like Windows, macOS, and Linux, allowing for easy development and deployment across different platforms.
  • Good for Rapid Development
    The high-level nature of Python allows for quick development cycles and fast iteration, which is ideal for startups and prototyping.

Possible disadvantages

  • Performance Limitations
    Python is generally slower than compiled languages like C or Java because it is an interpreted language, which can be a drawback for performance-critical applications.
  • Global Interpreter Lock (GIL)
    The GIL in CPython, the most used Python interpreter, prevents multiple native threads from executing Python bytecodes at once, limiting multi-threading capabilities.
  • Memory Consumption
    Python can be more memory-intensive compared to some other languages, which might be a concern for applications with tight memory constraints.
  • Mobile Development
    Python is not a primary choice for mobile app development, where languages like Java, Swift, or Kotlin are more commonly used.
  • Runtime Errors
    Being a dynamically typed language, Python code can sometimes lead to runtime errors that would be caught at compile-time in statically typed languages.
  • Dependency Management
    Managing dependencies in Python projects can sometimes be complex and cumbersome, especially when dealing with conflicting versions of libraries.

Videos

Walkthroughs and reviews on video.

C (programming language) 0 videos + Add
Python 1 video + Add

No C (programming language) videos yet. You could help us improve this page by suggesting one.

Creator of Python Programming Language, Guido van Rossum | Oxford Union

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
C (programming language)
Python
10% 10%
90% 90%
14% 14%
OOP
86% 86%

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

C (programming language) no reviews yet
Python no reviews yet

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

C (programming language) 0 mentions
Python 301 mentions

Tracking C (programming language) since Mar 2021.

  • Zero to AI-Ready PC in One Click: Windows & Ubuntu AI Requirements Installer Full Tutorial
    Extract the zip, right-click Windows_AI_Requirements_Installer.bat and choose Run as administrator. A normal double-click works too: it asks Windows for administrator rights by itself. The .bat brings its own temporary portable Python... - Source: dev.to / 3 days ago
  • Self-contained highly-portable Python distributions
    > When you download Python from http://python.org (on Linux or macOS), what you're actually downloading is an installer that builds Python from source on your machine. > The net effect is that on Linux and macOS, you can't "download a... - Source: Hacker News / 3 months ago
  • How to Build a Dependency Map of a Legacy Codebase Using AI Tools
    137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds.... - Source: dev.to / 5 months ago

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Alternatives to C (programming language) and Python

When comparing C (programming language) and Python, you can also consider the following products.