Numpy which python version

This article will show you multiple ways to determine your numpy version and installation status. Here are three ways to check if numpy , or any other Python package, is installed. Note, that some of these methods also tell you the numpy version. The first way to check if numpy is installed is to start an interactive Python session.

You should now see something that shows information about the Python distribution you are using, followed by three greater-than signs. Like this:. To check if numpy is installed just try to import it with the following line of code.

If there is no error message then it means numpy is installed. If you get an error message like the one below it means that numpy is not installed or that it was improperly installed. To do so, make sure your are not in an interactive Python session.

If you have both Python2 and Python3 installed you will need to replace python with python3 when referencing the Python3 installation.

If you are using an Anaconda Python distribution you can check for a numpy installation using the conda command. The third difference is that conda is an integrated solution for managing packages, dependencies and environments, while with pip you may need another tool there are many!

As libraries get updated, results from running your code can change, or your code can break completely. Best practice is to:. Power users may still want to know the details, because the used BLAS can affect performance, behavior and size on disk:.

MKL is a separate package that will be installed in the users' environment when they install NumPy. If your installation fails with the message below, see Troubleshooting ImportError. Installing NumPy. Please see the release notes for more details. This grant will be used to ramp up the efforts in improving NumPy documentation, website redesign, and community development to better serve our large and rapidly growing user base, and ensure the long-term sustainability of the project.

More details on our proposed initiatives and deliverables can be found in the full grant proposal. The work is scheduled to start on Dec 1st, and continue for the next 12 months. Here is a list of NumPy releases, with links to release notes. Bugfix releases only the z changes in the x.

Advancing an inclusive culture in the scientific Python ecosystem August 31, — We are happy to announce the Chan Zuckerberg Initiative has awarded a grant to support the onboarding, inclusion, and retention of people from historically marginalized groups on scientific Python projects, and to structurally improve the community dynamics for NumPy, SciPy, Matplotlib, and Pandas.

Numpy 1. The highlights of the release are: continued SIMD work covering more functions and platforms, initial work on the new dtype infrastructure and casting, universal2 wheels for Python 3. The two most exciting new features are: Type annotations for large parts of NumPy, and a new numpy. Diversity in the NumPy project Sep 20, — We wrote a statement on the state of, and discussion on social media around, diversity and inclusion in the NumPy project.

First official NumPy paper published in Nature! Python 3. In preparation for this event, please make sure to update your pip to version The inaugural NumPy survey is live! NumPy has a new logo! Jun 24, — NumPy now has a new logo: The logo is a modern take on the old one, with a cleaner design. NumPy 1. Season of Docs acceptance May 11, — NumPy has been accepted as one of the mentor organizations for the Google Season of Docs program.