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.Īlso, the standalone installers don't yet work with third-party plugins, so users needing them should use Spyder through a Conda-based distribution instead.įor a detailed guide to this and the other different ways to obtain Spyder, refer to our full installation instructions, and check out our release page for links to all our installers. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible in languages such as C++ or Java. ![]() Start working with thousands of open-source packages and libraries today. Python is a widely used high-level, general-purpose, interpreted, dynamic programming language. ![]() Python 3.4.1 has over three hundred bugfixes and other improvements over 3.4.0. Anaconda offers the easiest way to perform Python/R data science and machine learning on a single machine. Using Python to download files from the internet is super easy and possible using only standard library functions. You can also try out Spyder right in your web browser by launching it on Binder. Python 3.4.1 was released on May 18th, 2014. 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. Want to join the community of scientists, engineers and analysts all around the world using Spyder?Ĭlick the button below to download the suggested installer for your platform.
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