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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]
PyCharm: For Python. An open-source version is available as PyCharm Community Edition, and a proprietary version as PyCharm Professional Edition. [31] For students, JetBrains has also developed PyCharm Education. [32] Rider: For .NET (primarily C# and F#) development [33] and game development with Unity (C#) and Unreal Engine (C++) [34] RubyMine
In 2011, the Python Packaging Authority (PyPA) was created to take over the maintenance of pip and virtualenv from Bicking, led by Carl Meyer, Brian Rosner, and Jannis Leidel. [ 10 ] With the release of pip version 6.0 (2014-12-22), the version naming process was changed to have version in X.Y format and drop the preceding 1 from the version label.
Software versioning is the process of assigning either unique version names or unique version numbers to unique states of computer software. Within a given version number category (e.g., major or minor), these numbers are generally assigned in increasing order and correspond to new developments in the software.
Since 7 October 2024, Python 3.13 is the latest stable release, and it and, for few more months, 3.12 are the only releases with active support including for bug fixes (as opposed to just for security) and Python 3.9, [55] is the oldest supported version of Python (albeit in the 'security support' phase), due to Python 3.8 reaching end-of-life.
Python 2.0 was released on October 16, 2000, with many major new features, such as list comprehensions, cycle-detecting garbage collector (in addition to reference counting) and reference counting, for memory management and support for Unicode, along with a change to the development process itself, with a shift to a more transparent and ...
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]
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.