Fortran Description
Fortran was designed from the ground up to support computationally intensive applications in engineering and science. You can write code that runs fast and close to the metal with mature and battle-tested libraries and compilers. Fortran is statically and heavily typed. This allows the compiler to catch programming errors early. This allows the compiler generate efficient binary code. Fortran is a small language that is easy to learn and use. It is easy to express most mathematical and arithmetic operations on large arrays by simply writing them out on a whiteboard. Fortran is a natively parallel programming languages that uses intuitive array-like syntax to exchange data between CPUs. It is possible to run almost identical code on one CPU, on a shared memory multicore system or on a distributed-memory HPC system or cloud-based system.
Fortran Alternatives
Haskell
Each expression in Haskell is assigned a type at compile time. All types that are combined by function application must match. The compiler will reject the program if they don't match up. Types are not only a guarantee, but also a language to express the construction of programs. Haskell functions are mathematical functions (i.e. "pure") in every instance. Even side-effecting IO operation are just a description of what to accomplish, and are produced by pure code. There are no instructions or statements, only expressions that can't mutate variables (local and global) or access state such as time or random numbers. You don't need to write every type in Haskell programs. Types can be inferred by unifying each type bidirectionally. You can however write out types or ask the compiler for them to be written for you.
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Cython
Cython serves as an optimizing static compiler designed for both the Python language and the enhanced Cython language, which is rooted in Pyrex. It simplifies the process of creating C extensions for Python, making it as straightforward as writing Python itself. With Cython, developers can harness the strengths of both Python and C, enabling seamless interactions between Python code and C or C++ code at any point. By incorporating static type declarations in a Python-like syntax, users can easily enhance the performance of their readable Python code to that of plain C. The tool also provides combined source code level debugging, allowing developers to efficiently identify issues within their Python, Cython, and C code. Cython is particularly adept at managing large datasets, such as multi-dimensional NumPy arrays, facilitating the development of applications within the expansive and robust CPython ecosystem. Notably, the Cython language extends the capabilities of Python by allowing direct calls to C functions and the declaration of C types for variables and class attributes, ultimately enhancing the development experience. This fusion of languages not only broadens the possibilities for developers but also streamlines the process of optimizing Python applications.
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Java
The Java™, Programming Language is a general purpose, concurrent, strongly typed and class-based object-oriented programming language. It is usually compiled according to the Java Virtual Machine Specification's bytecode instruction set. All source code in the Java programming language is first written in plain text files that end with the.java extension. The javac compiler compiles these source files into.class files. A.class file doesn't contain native code for your processor. Instead, it contains bytecodes (the machine language of the Java Virtual Machine1 [Java VM]). The java launcher tool will then run your application with an instance Java Virtual Machine.
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BASIC
BASIC, which stands for Beginners' All-purpose Symbolic Instruction Code, represents a collection of high-level programming languages that prioritize user-friendliness. Initially, the focus of BASIC was on facilitating basic mathematical computations, with its first version as a batch language supporting matrix arithmetic, and enhancements for character string manipulation were introduced by 1965. The development of BASIC coincided with a broader shift toward time-sharing systems that enabled multiple users to access computing resources simultaneously. Certain versions of BASIC included capabilities for handling matrices and performing operations on them, enabling users to address sets of simultaneous linear equations effectively. These specialized dialects allowed for direct manipulation of matrix structures, including operations like assignment, addition, multiplication (among compatible matrix types), and the calculation of determinants. However, in the 1990s, BASIC's popularity waned as the advent of more robust microcomputers made it feasible to use programming languages with more sophisticated features, such as Pascal and C, leading to a decline in BASIC's usage among developers. As a result, many programmers began to seek alternatives that offered greater flexibility and power for their computational needs.
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Pricing
Pricing Starts At:
Free
Free Version:
Yes
Integrations
Company Details
Company:
Fortran
Headquarters:
United States
Website:
fortran-lang.org
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