About
Cython is an optimizing static compiler for both the Python programming language and the extended Cython programming language (based on Pyrex). It makes writing C extensions for Python as easy as Python itself. Cython gives you the combined power of Python and C to let you write Python code that calls back and forth from and to C or C++ code natively at any point. Easily tune readable Python code into plain C performance by adding static type declarations, also in Python syntax. Use combined source code level debugging to find bugs in your Python, Cython, and C code. Interact efficiently with large data sets, e.g. using multi-dimensional NumPy arrays. Quickly build your applications within the large, mature, and widely used CPython ecosystem. The Cython language is a superset of the Python language that additionally supports calling C functions and declaring C types on variables and class attributes.
|
About
The Java™ Programming Language is a general-purpose, concurrent, strongly typed, class-based object-oriented language. It is normally compiled to the bytecode instruction set and binary format defined in the Java Virtual Machine Specification. In the Java programming language, all source code is first written in plain text files ending with the .java extension. Those source files are then compiled into .class files by the javac compiler. A .class file does not contain code that is native to your processor; it instead contains bytecodes — the machine language of the Java Virtual Machine1 (Java VM). The java launcher tool then runs your application with an instance of the Java Virtual Machine.
|
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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||
Audience
Users and developers requiring a static compiler for both Python and Cython programming languages
|
Audience
Developers looking for a Programming Language solution
|
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
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||
API
Offers API
|
API
Offers API
|
API
Offers API
|
API
Offers API
|
|||
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
|||
Pricing
Free
Free Version
Free Trial
|
Pricing
Free
Free Version
Free Trial
|
Pricing
Free
Free Version
Free Trial
|
Pricing
No information available.
Free Version
Free Trial
|
|||
Reviews/
|
Reviews/
|
Reviews/
|
Reviews/
|
|||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||
Company InformationCython
United States
cython.org
|
Company InformationOracle
docs.oracle.com/javase/8/docs/technotes/guides/language/index.html
|
Company InformationNumPy
numpy.org
|
Company InformationRacket Language
United States
racket-lang.org
|
|||
Alternatives |
Alternatives |
Alternatives |
Alternatives |
|||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
Categories |
Categories |
Categories |
Categories |
|||
Integrations
AI Fellows
Amazon CodeGuru
Apache PredictionIO
Arachnophilia
BestCaptchaSolver.com
Caduceus
Claude Sonnet 4
DataWorks
DeCaptcher
IntelliJ IDEA
|
Integrations
AI Fellows
Amazon CodeGuru
Apache PredictionIO
Arachnophilia
BestCaptchaSolver.com
Caduceus
Claude Sonnet 4
DataWorks
DeCaptcher
IntelliJ IDEA
|
Integrations
AI Fellows
Amazon CodeGuru
Apache PredictionIO
Arachnophilia
BestCaptchaSolver.com
Caduceus
Claude Sonnet 4
DataWorks
DeCaptcher
IntelliJ IDEA
|
Integrations
AI Fellows
Amazon CodeGuru
Apache PredictionIO
Arachnophilia
BestCaptchaSolver.com
Caduceus
Claude Sonnet 4
DataWorks
DeCaptcher
IntelliJ IDEA
|
|||
|
|
|
|
|