NumPy vs. Python vs. Racket Comparison


NumPy	Python 5.0 out of 5 stars	Racket Racket Language	+
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About Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.	About The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.	About Racket is a general-purpose, multi-paradigm programming language that serves as a modern dialect of Lisp and a descendant of Scheme. It is designed as a platform for programming language design and implementation, enabling developers to create new domain-specific and general-purpose languages. Racket's core language includes features such as macros, modules, lexical closures, tail calls, delimited continuations, parameters (fluid variables), software contracts, green threads, and OS threads. The language also comes with primitives, such as event spaces and custodians, which control resource management and enable the language to act like an operating system for loading and managing other programs. Further extensions to the language are created with the powerful macro system, which, together with the module system and custom parsers, can control all aspects of a language. Most language constructs in Racket are implemented as macros in the base language.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Component Library solution for DevOps teams	Audience Developers interested in a beautiful but advanced programming language	Audience Programmers and educators looking for a programming language to improve scripting and computer science education
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing Free Free Version Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
	Pros & Cons from Real Users Pros Python is simple, easy to learn, but powerful and extensible. Python in my opinion is the best programming language to learn today. Cons I don't have any issues with Python at all. It's my favorite programming language.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information NumPy numpy.org	Company Information Python Founded: 1991 www.python.org	Company Information Racket Language United States racket-lang.org
Alternatives Polars	Alternatives IBM SPSS Statistics IBM 4.4 out of 5 stars	Alternatives Common Lisp
h5py HDF5	AMPL	Clojure
broot	AppleScript Apple	Ring
PyQtGraph	IronPython	Oxygene RemObjects Software
Dask View All	Cython View All	Zig Zig Software Foundation View All
Categories Component Libraries Supported	Categories Programming Languages Supported	Categories Programming Languages Supported

Integrations Visual Studio Code Supported 911Proxy Not Supported AMD Developer Cloud Not Supported AgentKit Not Supported Amira Software Not Supported Aspecto Not Supported CTRLpotato Not Supported Cody Not Supported DeepSpeed Not Supported Google Earth Engine Not Supported Mem0 Not Supported Morph by Modelcode Not Supported Prompt AI Tools Not Supported Robocorp Not Supported SecureStack Not Supported Snipplr Not Supported ZenMux Not Supported ipvolt Not Supported serpstack Not Supported xlrd Not Supported Show More Integrations View All 22 Integrations	Integrations Visual Studio Code Supported 911Proxy Supported AMD Developer Cloud Supported AgentKit Supported Amira Software Supported Aspecto Supported CTRLpotato Supported Cody Supported DeepSpeed Supported Google Earth Engine Supported Mem0 Supported Morph by Modelcode Supported Prompt AI Tools Supported Robocorp Supported SecureStack Supported Snipplr Supported ZenMux Supported ipvolt Supported serpstack Supported xlrd Supported Show More Integrations View All 1564 Integrations	Integrations Visual Studio Code Supported 911Proxy Not Supported AMD Developer Cloud Not Supported AgentKit Not Supported Amira Software Not Supported Aspecto Not Supported CTRLpotato Not Supported Cody Not Supported DeepSpeed Not Supported Google Earth Engine Not Supported Mem0 Not Supported Morph by Modelcode Not Supported Prompt AI Tools Not Supported Robocorp Not Supported SecureStack Not Supported Snipplr Not Supported ZenMux Not Supported ipvolt Not Supported serpstack Not Supported xlrd Not Supported Show More Integrations View All 17 Integrations
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