Racket

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

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 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

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 Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

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 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

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

Racket Language
United States
racket-lang.org

Alternatives

Alternatives

h5py

h5py

HDF5
Oxygene

Oxygene

RemObjects Software
Zig

Zig

Zig Software Foundation

Categories

Categories

Integrations

Visual Studio Code Supported
Avanzai Supported
BBEdit Not Supported
Brackets Not Supported
Common Lisp Not Supported
Cython Supported
Emacs Not Supported
Geany Not Supported
Gensim Supported
JAX Supported
Kate Not Supported
NVIDIA FLARE Supported
Neovim Not Supported
PaizaCloud Supported
Scheme Not Supported
Spyder Supported
Xcode Not Supported
Yandex Data Proc Supported
h5py Supported
scikit-learn Supported

Integrations

Visual Studio Code Supported
Avanzai Not Supported
BBEdit Supported
Brackets Supported
Common Lisp Supported
Cython Not Supported
Emacs Supported
Geany Supported
Gensim Not Supported
JAX Not Supported
Kate Supported
NVIDIA FLARE Not Supported
Neovim Supported
PaizaCloud Not Supported
Scheme Supported
Spyder Not Supported
Xcode Supported
Yandex Data Proc Not Supported
h5py Not Supported
scikit-learn Not Supported
Claim NumPy and update features and information
Claim NumPy and update features and information
Claim Racket and update features and information
Claim Racket and update features and information