

Please be patient until then and **do not** report it as a problem because we don't have any control over that. * It can take a week or two, or even up to a month, for a new Spyder version to be part of Anaconda. You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, `xterm` on Linux or `Terminal.app` on macOS): Because of that, all installation problems you encounter are expected to be solved by you. We also support `pip`, but please be aware that `pip` installations are for advanced users with good knowledge of all Spyder dependencies. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.Ģ. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. If you are new to Python or the Scientific Python ecosystem, we *strongly* recommend you to install and use (). To connect the installers to your current conda or pyenv environments, take a look at this other FAQ.To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our documentation FAQ.

Linux (CentOS 7+): Linux-x86_64.sh ( Experimental)

The easiest way to start using Spyder is by downloading our own installers for Windows :
