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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.
Jinja, a Python-powered template engine, inspired by Django's template engine; Kid, simple template engine for XML-based vocabularies; Meson build system, a software tool for automating the building (compiling) of software; mod_python, an Apache module allowing direct integration of Python scripts with the Apache web server
The Python Distribution Utilities (distutils) Python module was first added to the Python standard library in the 1.6.1 release, in September 2000, and in the 2.0 release, in October 2000, nine years after the first Python release in February 1991, with the goal of simplifying the process of installing third-party Python packages.
Mojo was created for an easy transition from Python. The language has syntax similar to Python's, with inferred static typing, [24] and allows users to import Python modules. [25] It uses LLVM and MLIR as its compilation backend. [6] [26] [27] The language also intends to add a foreign function interface to call C/C++ and Python
Anaconda is an open source [9] [10] data science and artificial intelligence distribution platform for Python and R programming languages.Developed by Anaconda, Inc., [11] an American company [1] founded in 2012, [11] the platform is used to develop and manage data science and AI projects. [9]
It is possible to wrap the functions and datatypes of existing C libraries as Python objects and therefore make them available to Python. [2] Pyrex allows the user to write extension modules in a Python-like language which may directly access the external C code. The similarity of Pyrex's syntax to Python's makes it easy to write Python modules ...
Kivy is the main framework developed by the Kivy organization, [3] alongside Python for Android, [4] Kivy for iOS, [5] and several other libraries meant to be used on all platforms. In 2012, Kivy got a $5000 grant from the Python Software Foundation for porting it to Python 3.3. [6] Kivy also supports the Raspberry Pi which was funded through ...
The QLattice is a software library which provides a framework for symbolic regression in Python.It works on Linux, Windows, and macOS.The QLattice algorithm is developed by the Danish/Spanish AI research company Abzu. [1]