Coding

Spyder – The Scientific Python Development Environment

Spyder is an integrated development environment designed for scientific computing, data analysis and Python programming. It brings together source-code editing, interactive execution and data exploration in a workspace particularly suited to researchers, engineers and developers working with numerical libraries.

The environment combines a multi-language editor with IPython consoles, allowing programmers to develop and execute code without repeatedly switching between separate applications.

Spyder’s MATLAB-like workflow is especially useful for examining datasets, experimenting with algorithms and investigating the results of calculations. Users can work interactively while retaining the debugging, testing and project organisation facilities expected from a conventional IDE.

This is free and open source software.

Key Features

  • Source-code editor with syntax highlighting, code completion, calltips, automatic indentation, code folding and go-to-definition.
  • Integrated IPython consoles with support for multiple independent sessions and interactive code execution.
  • Execute individual lines, selected code, cells or complete Python scripts directly from the editor.
  • Variable Explorer displays session variables with their types, dimensions, values and other useful information.
  • Inspect and edit NumPy arrays, Pandas DataFrames, lists, dictionaries and other supported Python objects.
  • Plots pane displays graphical output and supports examining figures generated during interactive sessions.
  • Integrated debugger with breakpoints, conditional breakpoints, stepping and variable inspection.
  • Static code analysis identifies potential programming errors and coding-style issues.
  • Profiler helps identify performance bottlenecks in Python applications.
  • Documentation pane displays information about Python functions, classes and other objects.
  • Project management, file exploration and project-wide searching with regular expression support.
  • Extensible architecture supports additional functionality through plugins.
  • Cross-platform support – runs on Linux, macOS, and Windows.

Website: github.com/spyder-ide/spyder
Support:
Developer: Spyder Development Team
License: MIT License

Spyder

Spyder is written in Python. Learn Python with our recommended free books and free tutorials.


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