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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.
Open source packages can be individually installed from the Anaconda repository, [45] Anaconda Cloud (anaconda.org), or the user's own private repository or mirror, using the conda install command. Anaconda, Inc. compiles and builds the packages available in the Anaconda repository itself, and provides binaries for Windows 32 / 64 bit , Linux ...
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 .
Spyder, IDE for scientific programming. Vim, with "lang#python" layer enabled. [2] Visual Studio Code, an Open Source IDE for various languages, including Python. Wing IDE, cross-platform proprietary with some free versions/licenses IDE for Python. Replit, an online IDE that supports multiple languages.
Mac OS 7 (v2.x-v4.x only) C++ and C#: Yes Yes Yes Yes Yes Yes Yes Yes Yes 2019-04 Yes Yes Yes (also plugin) [20] Microsoft Visual Studio Code: MIT: Yes Yes Yes TypeScript JavaScript CSS: Yes No Yes No No Yes No Yes Yes 2025-01-17 External External Requires language server support [21] [22] MonoDevelop: LGPL: Yes Yes Yes FreeBSD, OpenBSD ...
Fink, for OS X, derives partially from dpkg/apt and partially from ports; MacPorts, formerly called DarwinPorts, originated from the OpenDarwin project; Homebrew, with close Git integration; pkgsrc can be used to install software directly from source-code, or to use the binary packages provided by several independent vendors.
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 code intelligence features speed up editing, facilitated navigation through code, and inspected code for errors. These features rely both on static analysis of Python code found in the project and on the Python Path and runtime analysis of code whenever the debugger is active or the code is active in the integrated Python Shell.