Spyfer

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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. These methods generally fix or isolate the great majority of install-related difficulties. For most users on Windows and macOS, we recommend our Standalone installers as the most straightforward and robust option to obtain Spyder. For users needing Linux support, third-party Spyder plugins or Variable Explorer compatibility with custom-installed packages—all capabilities which the standalone installers currently do not yet provide—we advise using a Conda-based distributions. Want to try out Spyder without installing it? With Binder you can work with a fully functional copy of Spyder online that runs right in your web browser, no installation needed. Visit the Spyder Binder to get started using Spyder. The standalone installers are our recommended method for most users on Windows and macOS, with experimental Linux support under active development.

Spyfer

Spyder is a free and open source 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 inspection, and beautiful visualization capabilities of a scientific package. Run code by line, cell or file; or work interactively with debugging, plots and magic commands. Interact with and modify variables on the fly: plot a histogram or timeseries, edit a dateframe or Numpy array, sort a collection, dig into nested objects, and more! Want to join the community of scientists, engineers and analysts all around the world using Spyder? Click the button below to download the suggested installer for your platform. We offer standalone installers on Windows and macOS, and as our Linux installer is are still experimental, we currently recommend the cross-platform Anaconda distribution for that operating system, which includes Spyder and many other useful packages for scientific Python. You can also try out Spyder right in your web browser by launching it on Binder. The built-in interpreter of the standalone version doesn't currently support installing packages beyond the common scientific libraries bundled with it, so most users will want to have an external Python environment to run their own code, like with any other IDE. Also, the standalone installers don't yet work with third-party plugins, so users needing them should use Spyder through a Conda-based distribution instead.

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