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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.
pip (also known by Python 3's alias pip3) is a package-management system written in Python and is used to install and manage software packages. [4] The Python Software Foundation recommends using pip for installing Python applications and its dependencies during deployment. [5] Pip connects to an online repository of public packages, called the ...
Astropy, a library of Python tools for astronomy and astrophysics. Biopython, a Python molecular biology suite; Gensim, a library for natural language processing, including unsupervised topic modeling and information retrieval; graph-tool, a Python module for manipulation and statistical analysis of graphs.
Microsoft Visual Studio (formerly Python Tools for Visual Studio [53]) Microsoft 16.9 2021-03-02 Windows: C++ and C#: Windows Forms and WPF, through IronPython: Python tools under Apache License 2.0: Yes Yes Yes No Unknown Unknown Unknown Yes [54] Unknown Unknown Yes Basic refactoring Yes Yes MonoDevelop: Novell and the Mono community ...
ADT/Andmore extends the abilities of Eclipse to let developers set up new Android projects, create an application UI, add packages based on the Android Framework API, debug their applications using the Android SDK tools, and export signed (or unsigned) .apk files in order to distribute their applications.
Anaconda Cloud is a package management service by Anaconda where users can find, access, store and share public and private notebooks, environments, and Conda and PyPI packages. [52] Cloud hosts useful Python packages, notebooks and environments for a wide variety of applications.
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.
The dependency issue arises when several packages have dependencies on the same shared packages or libraries, but they depend on different and incompatible versions of the shared packages. If the shared package or library can only be installed in a single version, the user may need to address the problem by obtaining newer or older versions of ...