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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 .
For example, TensorFlow Recommenders and TensorFlow Graphics are libraries for their respective functionalities in recommendation systems and graphics, TensorFlow Federated provides a framework for decentralized data, and TensorFlow Cloud allows users to directly interact with Google Cloud to integrate their local code to Google Cloud. [68]
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
PyCharm, a proprietary and Open Source IDE for Python development. PythonAnywhere, an online IDE and Web hosting service. Python Tools for Visual Studio, Free and open-source plug-in for Visual Studio. Spyder, IDE for scientific programming. Vim, with "lang#python" layer enabled. [2]
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]
PyTorch is a machine learning library based on the Torch library, [4] [5] [6] used for applications such as computer vision and natural language processing, [7] originally developed by Meta AI and now part of the Linux Foundation umbrella.
IronPython is an implementation of the Python programming language targeting the .NET and Mono frameworks. The project is currently maintained by a group of volunteers at GitHub.
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.