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#Spyder ide install
#Spyder ide full

#Spyder ide install

Using conda: conda install spyder-notebook -c spyder-ide.Spyder-Notebook, allowing the viewing and editing of Jupyter Notebooks within the IDE.Spyder-Unittest, which integrates the popular unit testing frameworks Pytest, Unittest and Nose with Spyder.An internal console, allowing for introspection and control over Spyder's own operation.A history log, recording every user command entered in each console.An online help browser, allowing users to search and view Python and package documentation inside the IDE.

#Spyder ide full

A "Find in Files" feature, allowing full regular expression search over a specified scope.

A built-in file explorer, for interacting with the filesystem and managing projects.

Project support, allowing work on multiple development efforts simultaneously.

Static code analysis, powered by Pylint.

A debugger linked to IPdb, for step-by-step execution.

A Help pane able to retrieve and render rich text documentation on functions, classes and methods automatically or on-demand.

The ability to explore and edit variables from a GUI.

An editor with syntax highlighting, introspection, code completion.

QtPy, a thin abstraction layer developed by the Spyder project and later adopted by multiple other packages, provides the flexibility to use either backend. Spyder uses Qt for its GUI and is designed to use either of the PyQt or PySide Python bindings. It is available cross-platform through Anaconda, on Windows, on macOS through MacPorts, and on major Linux distributions such as Arch Linux, Debian, Fedora, Gentoo Linux, openSUSE and Ubuntu.

Spyder is extensible with first-party and third-party plugins, includes support for interactive tools for data inspection and embeds Python-specific code quality assurance and introspection instruments, such as Pyflakes, Pylint and Rope. Initially created and developed by Pierre Raybaut in 2009, since 2012 Spyder has been maintained and continuously improved by a team of scientific Python developers and the community. 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. Spyder is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language.