If your focus is data science, machine learning, numerical computing, or high-performance computing (HPC), chances are good that you use Python* or want to.
It makes sense. Python is extremely easy to learn (even for newbies), easy to use, and highly productive—it takes less lines of code to perform the same operations, so programs take less time to develop.
Tune in to this five-part video series hosted by .NET program manager and Twitch.tv* personality Jeff Fritz. He covers the basics and gives a few in-depth demonstrations on how the latest release of Intel® Distribution for Python*—alone and in collaboration with other popular software tools and libraries—can help you quickly create highly performant applications.
Watch them in order, or pick and choose what interests you. All videos are under eight minutes.
Here’s the run-down of each video:
Jeff shows you how to configure and start using the Intel Distribution for Python with Microsoft Visual Studio* code. He also runs a simple benchmark to illustrate some of the speed improvements included in the distribution. [5:13 minutes]
Jeff looks at the performance of random number generation using the Intel Distribution for Python. [7:51 minutes]
Jeff checks out Jupyter* Notebook—a powerful tool for interactively developing and presenting data science projects—with Python and Docker*, and starts using the distribution to get improved performance from the Python interpreter. [6:00 minutes]
Jeff shows how to get started with Visual Studio 2019 and Python. He even installs and uses the Intel Distribution for Python to show how you can use multiple Python distributions and change between them in Visual Studio. [5:22 minutes]
Jeff pulls together what he’s learned about Python and Jupyter Notebook to analyze the viewership of his Twitch.tv channel. What factors can he alter to increase viewership? [7:58 minutes]