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It was created for Python programs, but it can package and distribute software for any language (e.g., R), including multi-language projects. [18] The Conda package and environment manager is included in all versions of Anaconda, Miniconda, [51] and Anaconda Repository. [45]
Conda is an open-source, [2] cross-platform, [3] language-agnostic package manager and environment management system. It was originally developed to solve package management challenges faced by Python data scientists , and today is a popular package manager for Python and R .
Mathics, an open-source implementation of the Mathematica programming language; Matplotlib, providing MATLAB-like plotting and mathematical functions (using NumPy). NumPy, a language extension that adds support for large and fast, multi-dimensional arrays and matrices; Plotly is a scientific plotting library for creating browser-based graphs.
Pages in category "Articles with example Python (programming language) code" The following 200 pages are in this category, out of approximately 201 total. This list may not reflect recent changes. (previous page)
PyCharm is an integrated development environment (IDE) used for programming in Python.It provides code analysis, a graphical debugger, an integrated unit tester, integration with version control systems, and supports web development with Django.
A source-to-source translator converts between programming languages that operate at approximately the same level of abstraction, while a traditional compiler translates from a higher level programming language to a lower level programming language. For example, a source-to-source translator may perform a translation of a program from Python to ...
No. 6 Georgia and Georgia Tech's Friday night football game kicked off at 7:30 p.m. ET.. After 60 minutes of regulation — roughly four-and-a-half hours of real time — and an astounding eight ...
Numba is an open-source JIT compiler that translates a subset of Python and NumPy into fast machine code using LLVM, via the llvmlite Python package.It offers a range of options for parallelising Python code for CPUs and GPUs, often with only minor code changes.