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eric is a free integrated development environment (IDE) used for computer programming. Since it is a full featured IDE, it provides by default all necessary tools needed for the writing of code and for the professional management of a software project. eric is written in the programming language Python and its primary use is for developing ...
Unless semantics of Python are changed, but in many cases speedup is possible with few or no changes in the Python code. The faster Julia source code can then be used from Python, or compiled to machine code, and based that way. Nuitka compiles Python into C. [162] Numba uses LLVM to compile a subset of Python to machine code.
Each of the language compilers is a separate program that reads source code and outputs machine code. All have a common internal structure. All have a common internal structure. A per-language front end parses the source code in that language and produces an abstract syntax tree ("tree" for short).
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PureBasic IDE 5.10. PureBasic is a commercially distributed procedural computer programming language and integrated development environment based on BASIC and developed by Fantaisie Software for Windows, Linux, and macOS. An Amiga version is available, although it has been discontinued and some parts of it are released as open-source.
Free Pascal Compiler (FPC) is a compiler for the closely related programming-language dialects Pascal and Object Pascal. It is free software released under the GNU General Public License , with exception clauses that allow static linking against its runtime libraries and packages for any purpose in combination with any other software license.
Mingw-w64. Mingw-w64 is a free and open-source suite of developments tools that generate Portable Executable (PE) binaries for Microsoft Windows. It was forked in 2005–2010 from MinGW ( Minimalist GNU for Windows ). Mingw-w64 includes a port of the GNU Compiler Collection (GCC), GNU Binutils for Windows ( assembler, linker, archive manager ...
Anaconda is a distribution of the Python and R programming languages for scientific computing ( data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS.