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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.
Pages in category "Free integrated development environments for Python" The following 9 pages are in this category, out of 9 total. This list may not reflect recent changes .
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. PyCharm is developed by the Czech company JetBrains and built on their IntelliJ platform. [4]
IDLE (short for Integrated Development and Learning Environment) [2] [3] is an integrated development environment for Python, which has been bundled with the default implementation of the language since 1.5.2b1. [4] [5] It is packaged as an optional part of the Python packaging with many Linux distributions.
Guido van Rossum began working on Python in the late 1980s as a successor to the ABC programming language and first released it in 1991 as Python 0.9.0. [36] Python 2.0 was released in 2000. Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last ...
The term sandbox is commonly used for the development of web services to refer to a mirrored production environment for use by external developers. Typically, a third-party developer will develop and create an application that will use a web service from the sandbox, which is used to allow a third-party team to validate their code before migrating it to the production environment.
Although MicroPython fully implements Python language version 3.4 and much of 3.5, it does not implement all language features introduced from 3.5 onwards, [22] though some new syntax from 3.6 and more recent features from later versions, e.g. from 3.8 (assignment expressions) and 3.9. It includes a subset of the standard library.
IPython continues to exist as a Python shell and a kernel for Jupyter, while the notebook and other language-agnostic parts of IPython moved under the Jupyter name. [ 4 ] [ 5 ] Jupyter supports execution environments (called "kernels") in several dozen languages, including Julia, R, Haskell , Ruby , and Python (via the IPython kernel).