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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 .
Pip's command-line interface allows the install of Python software packages by issuing a command: pip install some-package-name. Users can also remove the package by issuing a command: pip uninstall some-package-name. pip has a feature to manage full lists of packages and corresponding version numbers, possible through a "requirements" file. [14]
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
BitBake, a make-like build tool with the special focus of distributions and packages for embedded Linux cross compilation; BitTorrent, original client, along with several derivatives; Buildbot, a continuous integration system; Buildout, a software build tool, primarily used to download and set up development or deployment software dependencies
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.
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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.
It is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language.Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software.
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