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Python VS C

Compare Python VS C and see what are their differences

Python logo Python

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

C logo C

One of the most widely used programming languages of all time
  • Python Landing page
    Landing page //
    2021-10-17

  • C Landing page
    Landing page //
    2023-09-17

We recommend LibHunt C for discovery and comparisons of trending C projects.

Python features and specs

  • 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 of Python

  • 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.

C features and specs

  • Efficiency
    C provides low-level access to memory and is closely aligned with machine instructions, offering high-performance and efficient use of resources.
  • Portability
    Code written in C can be compiled on various platforms with minimal modification, making it highly portable across different systems.
  • Rich Library Support
    The C programming language has a powerful set of standard libraries that facilitate various operations (e.g., input/output, string handling).
  • Control and Flexibility
    C offers extensive control over system resources and hardware operations, allowing fine-tuning and optimization for specific use cases.
  • Foundation for Other Languages
    Many modern programming languages, like C++, Python, and Java, have their roots in C, making it a foundational language that's beneficial to learn.

Possible disadvantages of C

  • Lack of Abstraction
    C provides less abstraction compared to higher-level languages, which may result in more complex and error-prone code for certain tasks.
  • Manual Memory Management
    The programmer is responsible for managing memory allocation and deallocation, which can lead to memory leaks and other errors if not handled properly.
  • No Built-in Support for Object-Oriented Programming
    C does not natively support object-oriented programming paradigms, which can make modeling complex systems less intuitive compared to OOP languages.
  • Safety Issues
    Lack of bounds checking can lead to buffer overflows and other vulnerabilities, posing security risks in C programs if not carefully addressed.
  • Steeper Learning Curve
    Due to its low-level operations, beginners might find C more difficult to learn compared to higher-level languages with simpler syntax and automatic memory management.

Python videos

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

C videos

Mercedes C-Class 2020 in-depth review | carwow Reviews

More videos:

  • Review - New Fractal Define Mini C - Build + Review!
  • Review - Fractal Meshify C Review: Thermals & Noise vs. Define C

Category Popularity

0-100% (relative to Python and C)
Programming Language
89 89%
11% 11
OOP
90 90%
10% 10
Generic Programming Language
Text Editors
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Python and C

Python Reviews

Pine Script Alternatives: A Comprehensive Guide to Trading Indicator Languages
Technical analysis in trading has come a long way, with various programming languages emerging to support traders in developing custom indicators. While Pine Script has been a popular choice for many, alternatives like Indie, ThinkScript, NinjaScript, MetaQuotes Language (MQL), and even general-purpose languages like Python and C++ are gaining traction. Letโ€™s explore these...
Source: medium.com
Top 5 Most Liked and Hated Programming Languages of 2022
No wonder Python is one of the easiest programming languages to work upon. This general-purpose programming language finds immense usage in the field of web development, machine learning applications, as well as cutting-edge technology in the software industry. The fact that Python is used by major tech giants such as Amazon, Facebook, Google, etc. is good enough proof as to...
Top 10 Rust Alternatives
This programming langue is typed statically and operates on a complied system. It works based on several computing languages Python, Ada, and Modula.
15 data science tools to consider using in 2021
Python is the most widely used programming language for data science and machine learning and one of the most popular languages overall. The Python open source project's website describes it as "an interpreted, object-oriented, high-level programming language with dynamic semantics," as well as built-in data structures and dynamic typing and binding capabilities. The site...
The 10 Best Programming Languages to Learn Today
Python's variety of applications make it a powerful and versatile language for different use cases. Python-based web development frameworks like Django and Flask are gaining popularity fast. It's also equipped with quality machine learning and data analysis tools like Scikit-learn and Pandas.
Source: ict.gov.ge

C Reviews

Top 5 Most Liked and Hated Programming Languages of 2022
C is one of the oldest programming languages. There are numerous other languages that came in after C like Java, PHP, etc., and have managed to outshine the former. When compared to C, other languages boast of a series of features thereby making it a less favourable one.

Social recommendations and mentions

Based on our record, Python seems to be more popular. It has been mentiond 299 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Python mentions (299)

  • 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. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 2 months ago
  • How to Prepare a Legacy Codebase for AI-Assisted Refactoring
    For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / 2 months ago
  • Async Web Scraping in Python: asyncio + aiohttp + httpx (Complete 2026 Guide)
    Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ€” no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 3 months ago
  • Don't Be Afraid of Git: A Beginner's Guide to Saving and Sharing
    **_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โ€œSave this dataโ€ - โ€œGet this dataโ€ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago
  • Asyncio: Interview Questions and Practice Problems
    Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
View more

C mentions (0)

We have not tracked any mentions of C yet. Tracking of C recommendations started around Mar 2021.

What are some alternatives?

When comparing Python and C, you can also consider the following products

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions

Rust - A safe, concurrent, practical language

Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible

NIM - GB64.COM is the home of The Gamebase Collection of C64 games.

C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation

GoCD - Open source continuous delivery tool allows for advanced workflow modeling and dependencies management.