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Spyder is a free and open source scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts.
Spyder is relatively easy to install on Windows, Linux and macOS. Just make sure to read and follow these instructions with care. If you run into problems, before posting a report, please consult our comprehensive troubleshooting guide and search the issue tracker for your error message and problem description.
Spyder is relatively easy to install on Windows, Linux and macOS. Just make sure to read and follow these instructions with care. This section explains how to install the latest stable release of Spyder. If you prefer testing the development version, please use the boostrap script instead.
Spyder’s documentation provides a variety of resources that will help you learn how to use the application and explore each one of its panes. These include video tutorials, in-depth descriptions and how-to guides covering a wide range of needs and experience levels with Spyder.
Spyder is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It features a unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep ...
Spyder is relatively easy to install on Windows, Linux and macOS. Just make sure to read and follow these instructions with care. If you run into problems, before posting a report, please consult our comprehensive troubleshooting guide and search the issue tracker for your error message and problem description.
Welcome to our Quickstart! Here you will find an interactive tour that will guide you through Spyder’s interface. You’ll get familiar with the most important parts of the IDE, especially those we’ll be mentioning throughout our docs. Finally, you’ll get to walk through some of Spyder’s key panes and functionality.
Overview ¶. Spyder, the Scientific Python Development Environment, includes the following key features: Editor: Customizable syntax highlighting themes. Debugging breakpoints and conditional breakpoints (through ipdb integration) Interactive execution: Run line/selection, run cell, run file, re-run and debug. Run configuration settings:
Jun 11, 2024 · Spyder is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It offers a unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep inspection ...
Aug 14, 2018 · We're pleased to release the next significant update in the stable Spyder 3 line, 3.3.0, along with its follow-on bugfix point release, 3.3.1, which is now live on PyPI and conda . As always, you can update with conda update spyder in the Anaconda Prompt/Terminal/command line (on Windows/macOS/Linux, respectively) if on Anaconda (recommended ...
