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SymPy VS IronPython

Compare SymPy VS IronPython and see what are their differences

Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

SymPy logo SymPy

SymPy is a Python library for symbolic computation.

IronPython logo IronPython

Development
  • SymPy Landing page
    Landing page //
    2021-12-24
  • IronPython Landing page
    Landing page //
    2021-05-21

SymPy features and specs

  • Symbolic Computation
    SymPy provides robust support for symbolic mathematics, allowing users to perform algebraic manipulations, calculus, equation solving, and more, symbolically rather than numerically, which can be crucial for exact computations.
  • Open Source and Free
    As an open-source library, SymPy is free to use, modify, and distribute, offering transparency and community contributions to enhance its functionality and reliability.
  • Integration with Python
    SymPy is implemented in Python, which makes it easy to integrate into Python-based workflows and take advantage of other powerful libraries within the Python ecosystem.
  • Extensive Documentation
    SymPy has comprehensive documentation and a large number of tutorials and resources available, which aids users in learning and effectively using the library.
  • Cross-Platform
    Being a Python library, SymPy can be used on any platform that supports Python, ensuring wide accessibility regardless of the operating system.
  • Interactive Use
    SymPy can be used interactively in a variety of environments, such as Jupyter notebooks, which makes it excellent for educational purposes and exploratory computing.

Possible disadvantages of SymPy

  • Performance Limitations
    Since SymPy is purely Python, it may suffer from performance issues, particularly with very large symbolic expressions, compared to libraries implemented in lower-level languages.
  • Numerical Limitations
    SymPy is primarily a symbolic computation library and may not be suitable or optimized for numerical computations compared to dedicated numerical libraries like NumPy or SciPy.
  • Complexity with Large Problems
    For highly complex or large-scale mathematical problems, SymPy can become cumbersome and may require significant memory and computation time.
  • Steeper Learning Curve for Complex Tasks
    While basic functionalities are easy to grasp, mastering advanced features of SymPy can be challenging due to the depth and breadth of its capabilities.

IronPython features and specs

  • Integration with .NET
    IronPython is built on top of the .NET framework, allowing seamless integration with .NET libraries and tools. This is beneficial for developers who work in a .NET environment and want to use Python alongside other .NET languages like C#.
  • Performance
    IronPython can be faster than CPython for certain tasks due to its JIT (Just-In-Time) compilation feature built into the .NET framework. This can lead to performance improvements for specific applications.
  • Strong Typing
    Being part of the .NET ecosystem, IronPython can leverage the strong typing capabilities of .NET, which can lead to more reliable code, easier maintenance, and better tooling support through Visual Studio.
  • Cross-language Interoperability
    IronPython allows for easy interoperability between Python and other .NET languages, making it easier to build applications that might require features from multiple languages.

Possible disadvantages of IronPython

  • Limited Library Support
    Compared to CPython, IronPython has limited support for Python libraries, especially those that rely on C extensions, like NumPy and SciPy. This can pose challenges for developers who rely heavily on such libraries.
  • Development Activity
    IronPython's development and community activity have historically been less vigorous compared to CPython and other popular Python implementations, potentially leading to fewer updates and community resources.
  • Platform Specificity
    Being closely tied to the .NET framework, IronPython is best suited for Windows environments. Although .NET Core improves cross-platform capabilities, IronPython might still not be the best choice for Python applications intended for non-Windows platforms.
  • Python Version Support
    IronPython may lag behind CPython in supporting the latest Python features and versions. This could lead to compatibility issues if newer Python features are needed for a project.

SymPy videos

+ Add

Python Sympy Integrals

IronPython videos

+ Add

Python Winforms Application in Visual Studio 2019 | IronPython Getting Started

More videos:

  • Tutorial - Code ASMR 💻 Soft Spoken IronPython Tutorial

Category Popularity

0-100% (relative to SymPy and IronPython)

SymPy

IronPython

Technical Computing
100 100%
Technical Computing
0% 0
Programming Language
16 16%
Programming Language
84% 84
Numerical Computation
100 100%
Numerical Computation
0% 0
OOP
16 16%
OOP
84% 84

User comments

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Reviews

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

SymPy Reviews

4 open source alternatives to MATLAB
SymPy, another BSD-licensed Python library for symbolic mathematics. It can be installed on any computer running Python. It aims to become a full computer algebra system; has an active development community with regular releases; and is used in many other projects (including SageMath, above).
Source: opensource.com
3 Open Source Alternatives to MATLAB
SymPy, another BSD-licensed Python library for symbolic mathematics. It can be installed on any computer running Python 2.7 or above. It aims to become a full computer algebra system; has an active development community with regular releases; and is used in many other projects (including SageMath, above).
Source: www.openhealthnews.com

IronPython Reviews

We have no reviews of IronPython yet.
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Social recommendations and mentions

Based on our record, IronPython seems to be more popular. It has been mentiond 18 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.

SymPy mentions (0)

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

IronPython mentions (18)

  • IronRDP: a Rust implementation of Microsoft's RDP protocol
    I think of IronPython and IronRuby and IronScheme, early attempts at Microsoft trying to combine cornmeal with .NET and open source and calling it a burrito. 
      https://ironpython.net/.
    - Source: Hacker News / about 2 months ago
  • Python 3.13 Gets a JIT
    If you're interested in learning more about the challenges and tradeoffs, both Jython (https://www.jython.org/) and IronPython (https://ironpython.net/) have been around for a long time and there's a lot of reading material on that subject. - Source: Hacker News / over 1 year ago
  • How python's Multithreading differs from other languages
    There are several ways of bypassing the GIL. First of all, the GIL is only present in the C implementation of Python, CPython. Other implementations of Python like Jython, IronPython, and PyPy don't have the GIL. Additionally, Python provides the multiprocessing library, which allows for parallelism in your Python program. - Source: dev.to / over 1 year ago
  • Starting Python, confused about cross platform app development. Is IronPython + .NET the only option?
    I am not set on .NET, but just curious, so thanks for the suggestions. Interesting that it's billed as cross-plaform, but doesn't do it that well. I just searched 'python wrapper for .net' and found PythonNET. Also, it seems yes IronPython is active. Source: about 2 years ago
  • Scripting inside Rimworld with Unity: Impossible? With java it is a 3 liner.
    There are quite a lot of ways to run scripting languages in C#. I've no idea what JSR223 is but .NET has DLR for example. There are also multiple libraries: IronPython, NLua, Jint and Jurassic for Javascript. There's also older version of CS-Script working with .NET Framework. Source: over 2 years ago
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What are some alternatives?

When comparing SymPy and IronPython, 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

Go Programming Language - Go, also called golang, is a programming language initially developed at Google in 2007 by Robert...

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

Perl - Highly capable, feature-rich programming language with over 26 years of development

D (Programming Language) - D is a language with C-like syntax and static typing.

Pike programming language - Dynamic programming language with a syntax similar to Java and C

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