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C (programming language) VS iPython

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

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C (programming language) logo C (programming language)

C is a general-purpose computer programming language.

iPython logo iPython

iPython provides a rich toolkit to help you make the most out of using Python interactively.
  • C (programming language) Landing page
    Landing page //
    2022-01-31
  • iPython Landing page
    Landing page //
    2021-10-07

C (programming language) features and specs

  • 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 of C (programming language)

  • 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.

iPython features and specs

  • Interactive Computing
    IPython provides a rich toolkit to help you make the most out of using Python interactively. This includes powerful introspection, rich media display, session logging, and more.
  • Ease of Use
    IPython includes features like syntax highlighting, tab completion, and easy access to the help system, which make writing and understanding code easier for users.
  • Rich Display System
    It supports rich media like images, videos, LaTeX, and HTML, making it very useful for data visualization and educational purposes.
  • Extensibility
    IPython is highly extensible and can be customized with a range of plugins, extensions, and different backends to suit various needs.
  • Enhanced Debugging
    It features enhanced debugging capabilities, including an improved traceback support and better handling of exceptions.

Possible disadvantages of iPython

  • Learning Curve
    For beginners, the extensive feature set of IPython may be overwhelming and have a steep learning curve.
  • Resource Intensive
    IPython, particularly Jupyter notebooks, can be resource-intensive, leading to slow performance on large datasets or complex computations.
  • Dependency Management
    Managing dependencies can be challenging, especially when using multiple packages in the same environment, which can lead to conflicts.
  • Limited IDE Features
    While IPython has many interactive features, it lacks some of the more advanced IDE features such as comprehensive code refactoring tools and integrated version control.
  • Exporting and Sharing
    Although you can export notebooks in various formats, sharing them in a way that preserves full interactivity can be complex compared to traditional scripts.

Analysis of iPython

Overall verdict

  • Yes, iPython is highly regarded for its flexibility, powerful features, and ability to enhance productivity in data analysis and scientific computing. It serves as an integral tool for many professionals in technical fields.

Why this product is good

  • iPython, which forms the backbone of the Jupyter ecosystem, is favored for its interactive capabilities, integration with various data science libraries, and support for visualizations. It allows seamless execution of code in a web-based environment, making it highly effective for experiments, rapid prototyping, and sharing insights.

Recommended for

  • Data Scientists
  • Researchers
  • Educators
  • Software Developers
  • Anyone interested in interactive and exploratory computing

Category Popularity

0-100% (relative to C (programming language) and iPython)
Programming Language
100 100%
0% 0
Python IDE
0 0%
100% 100
OOP
100 100%
0% 0
Text Editors
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, iPython seems to be more popular. It has been mentiond 19 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.

C (programming language) mentions (0)

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

iPython mentions (19)

  • Modern Python REPL in Emacs using VTerm
    As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, I’m currently in the process of getting my “new” python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython don’t jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the... - Source: dev.to / about 1 year ago
  • Wanting to learn how to code, but completely lost.
    Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser's developer console this way if you are learning Javascript. Source: about 2 years ago
  • IJulia: The Julia Notebook
    IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform. - Source: dev.to / about 2 years ago
  • How to "end" a loop in the REPL?
    Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. Source: over 2 years ago
  • State of Object Oriented Shells for *nix
    I know this isn't quite what you're asking for, but IPython (https://ipython.org/) is very capable as a Python + bash (or other) shell, as it allows you to easily integrate the system shell into the interactive environment. Although they now recommend Xonsh (https://xon.sh/) for such purposes. Source: over 2 years ago
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What are some alternatives?

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

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

PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...

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

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Rust - A safe, concurrent, practical language

IDLE - Default IDE which come installed with the Python programming language.