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Description

Fortran has been meticulously crafted for high-performance tasks in the realms of science and engineering. It boasts reliable and well-established compilers and libraries, enabling developers to create software that operates with impressive speed and efficiency. The language's static and strong typing helps the compiler identify numerous programming mistakes at an early stage, contributing to the generation of optimized binary code. Despite its compact nature, Fortran is remarkably accessible for newcomers. Writing complex mathematical and arithmetic expressions over extensive arrays feels as straightforward as jotting down equations on a whiteboard. Moreover, Fortran supports native parallel programming, featuring an intuitive array-like syntax that facilitates data exchange among CPUs. This versatility allows users to execute nearly identical code on a single processor, a shared-memory multicore architecture, or a distributed-memory high-performance computing (HPC) or cloud environment. As a result, Fortran remains a powerful tool for those aiming to tackle demanding computational challenges.

Description

Scheme serves as a versatile general-purpose programming language that operates at a high level. It facilitates various operations on complex data structures such as strings, lists, and vectors, in addition to handling traditional data types like numbers and characters. Although often associated with symbolic computation, Scheme's extensive range of data types and its adaptable control structures enhance its versatility for numerous applications. Developers have utilized Scheme for a wide array of projects, including text editors, compilers, operating systems, graphic applications, expert systems, numerical computations, financial analysis software, virtual reality frameworks, and virtually any other conceivable application. Learning Scheme is relatively accessible due to its reliance on a limited set of syntactic forms and semantic principles, and the interactive features of most implementations promote hands-on experimentation. However, achieving a deep understanding of Scheme can be quite challenging, as its complexities unfold with deeper exploration. As a result, practitioners often find themselves continually learning and evolving their skills within this rich programming environment.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

CodeConvert Yes 
Notepad++ Yes 
Replit Yes 
Snipplr Yes 
jEdit Yes 
Arm DDT Yes 
Arm Forge Yes 
Arm MAP Yes 
Buffer Editor Yes 
Devika Yes 
Helix Editor Yes 
Linaro Forge Yes 
Lumen Outpost Yes 
MPI for Python (mpi4py) Yes 
Mayhem Code Security Yes 
Oracle SQL Developer Yes 
Overleaf Yes 
Zed Yes 
distcc Yes 
oneAPI Yes 

Integrations

CodeConvert Yes 
Notepad++ Yes 
Replit Yes 
Snipplr Yes 
jEdit Yes 
Arm DDT No 
Arm Forge No 
Arm MAP No 
Buffer Editor No 
Devika No 
Helix Editor No 
Linaro Forge No 
Lumen Outpost No 
MPI for Python (mpi4py) No 
Mayhem Code Security No 
Oracle SQL Developer No 
Overleaf No 
Zed No 
distcc No 
oneAPI No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Fortran

Country

United States

Website

fortran-lang.org

Vendor Details

Company Name

Scheme

Website

www.scheme.com/tspl4/intro.html#./intro:h0

Product Features

Product Features

Alternatives

Alternatives

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Racket

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Scilab

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