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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]
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.
Modules [24] are mostly standalone and can be written in a standard scripting language (such as Python, Perl, Ruby, Bash, etc.) [citation needed]. One of the guiding goals of modules is idempotency, which means that even if an operation is repeated multiple times (e.g., upon recovery from an outage), it will always place the system into the ...
Many additional modules (or "mods" [1]) are available to extend the core functionality for special purposes. The following is a list of all the first- and third-party modules available for the most recent stable release of Apache web server:
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
Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis.In particular, it offers data structures and operations for manipulating numerical tables and time series.
Waf is a build automation tool designed to assist in the automatic compilation and installation of computer software.It is written in Python and maintained by Thomas Nagy.. Waf's source code is open source software, released under the terms of the New BSD License, though its accompanying documentation is under the CC-BY-NC-ND license, which forbids both modification and commercial ...
scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...