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About

Fortran has been designed from the ground up for computationally intensive applications in science and engineering. Mature and battle-tested compilers and libraries allow you to write code that runs close to the metal, fast. Fortran is statically and strongly typed, which allows the compiler to catch many programming errors early on for you. This also allows the compiler to generate efficient binary code. Fortran is a relatively small language that is surprisingly easy to learn and use. Expressing most mathematical and arithmetic operations over large arrays is as simple as writing them as equations on a whiteboard. Fortran is a natively parallel programming language with intuitive array-like syntax to communicate data between CPUs. You can run almost the same code on a single CPU, on a shared-memory multicore system, or on a distributed-memory HPC or cloud-based system.

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.

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

DevOps teams seeking a high-performance parallel Programming Language solution

Audience

Component Library solution for DevOps teams

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 Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version 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

Fortran
United States
fortran-lang.org

Company Information

NumPy
numpy.org

Alternatives

Alternatives

h5py

h5py

HDF5
Scilab

Scilab

Scilab Enterprises
3.0 out of 5 stars

Categories

Categories

Integrations

Cython Supported
MPI for Python (mpi4py) Supported
3LC Not Supported
Arm DDT Supported
Buffer Editor Supported
CUDA Supported
Dash Not Supported
DeepSeek Coder Supported
Devin Supported
Flower Not Supported
Geany Supported
Linaro Forge Supported
Mayhem Code Security Supported
Overleaf Supported
Refraction Supported
TextMate Supported
TotalView Supported
UltraEdit Supported
Zed Supported
h5py Not Supported

Integrations

Cython Supported
MPI for Python (mpi4py) Supported
3LC Supported
Arm DDT Not Supported
Buffer Editor Not Supported
CUDA Not Supported
Dash Supported
DeepSeek Coder Not Supported
Devin Not Supported
Flower Supported
Geany Not Supported
Linaro Forge Not Supported
Mayhem Code Security Not Supported
Overleaf Not Supported
Refraction Not Supported
TextMate Not Supported
TotalView Not Supported
UltraEdit Not Supported
Zed Not Supported
h5py Supported
Claim Fortran and update features and information
Claim Fortran and update features and information
Claim NumPy and update features and information
Claim NumPy and update features and information