Quick-Tips Series: Intel® Distribution for Python*
Subscribe Now
Stay in the know on all things CODE. Updates are delivered to your inbox.
Overview
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:
Video 1: Get Started with the Intel Distribution for Python on Windows*
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]
Video 2: Python Random Number Generation Performance
Jeff looks at the performance of random number generation using the Intel Distribution for Python. [7:51 minutes]
Video 3: Jupyter* Notebook with Python and Intel
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]
Video 4: Visual Studio* 2019 and Python
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]
Video 5: Analyze Twitch.tv* Channel Viewership with Python and Intel
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]
Get the Software
Download the Intel Distribution for Python for free.
Follow Fritz
• Twitch.tv
• Website
• Books by Fritz (Amazon*)
Jeffrey T. Fritz
.NET program manager for Microsoft* on the ASP.NET forums and Windows Communication Foundation teams; plans and assists with delivering .NET and Visual Studio developer content at major conferences; manages Microsoft Developer Blogs and the Microsoft MVP program interactions with Visual Studio and .NET product teams; Twitch.tv partner streamer.
Jeff is the author of several ebooks about ASP.NET development practices and has over 15 years of experience building large-scale, multitenant web applications in the software-as-a-service model. Additionally, he’s a regular speaker at developer events through the INETA speaker program.
Fritz holds a bachelor of science degree in management sciences and information systems from Penn State University.
Achieve near-native code performance with this set of essential packages optimized for high-performance numerical and scientific computing.
You May Also Like
Related Video