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Carlos Córdoba
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ArlissC
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About
Use as an IDE
Spyder is a Python development environment with many features for research, data analysis, and scientific package creation:
Editor
Work efficiently in a multi-language editor with a function/class browser, real-time code analysis tools (pyflakes, pylint, and pycodestyle), automatic code completion (jedi and rope), horizontal/vertical splitting, and go-to-definition.
Interactive console
Multiple IPython consoles with workspace and debugging support to instantly evaluate the code written in the Editor. Spyder consoles also come with full Matplotlib integration.
Documentation viewer
Render documentation in real-time with Sphinx for any class or function, whether external or user-created from either the Editor or a Console.
Variable explorer
Inspect any variables, functions or objects created during your session. Editing and interaction is supported with many common types, including numeric/strings/bools, Python lists/tuples/dictionaries, dates/timedeltas, Numpy arrays, Pandas index/series/dataframes, PIL/Pillow images, and more.
Development tools
Examine your code with the static analyzer, trace its execution with the interactive debugger, measure its performance with the profiler, and keep things organized with project support and a builtin file explorer.
Find in files
Search for queries across multiple files in your project, with full support for regular expressions.
Plugin support API
This allows for extending Spyder to add more functionality right inside the IDE. (Beta!)
Use as a (Python) library
Spyder may also be used as a PyQt5 extension library (module spyder). For example, the Python interactive shell widget used in Spyder may be embedded in your own PyQt5 application.
Our team
Carlos Córdoba
Jitse Niesen
Daniel Althviz
ArlissC
NumFOCUS Finance
Savannah Simons
Miriam Mueller
Chervonne Rogers