Skip To Main Content
Intel logo - Return to the home page
My Tools

Select Your Language

  • Bahasa Indonesia
  • Deutsch
  • English
  • Español
  • Français
  • Português
  • Tiếng Việt
  • ไทย
  • 한국어
  • 日本語
  • 简体中文
  • 繁體中文
Sign In to access restricted content

Using Intel.com Search

You can easily search the entire Intel.com site in several ways.

  • Brand Name: Core i9
  • Document Number: 123456
  • Code Name: Emerald Rapids
  • Special Operators: “Ice Lake”, Ice AND Lake, Ice OR Lake, Ice*

Quick Links

You can also try the quick links below to see results for most popular searches.

  • Product Information
  • Support
  • Drivers & Software

Recent Searches

Sign In to access restricted content

Advanced Search

Only search in

Sign in to access restricted content.

The browser version you are using is not recommended for this site.
Please consider upgrading to the latest version of your browser by clicking one of the following links.

  • Safari
  • Chrome
  • Edge
  • Firefox

Quick-Tips Series: Intel® Distribution for Python*

@IntelDevTools


Subscribe Now

Stay in the know on all things CODE. Updates are delivered to your inbox.

Sign Up

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.

Jump to:

You May Also Like
 

Intel® Distribution for Python*

Achieve near-native code performance with this set of essential packages optimized for high-performance numerical and scientific computing.

 

Get It Now

 

See All Tools

 

   

You May Also Like

Related Video

Heterogeneous Parallel Programming Using oneAPI: A Virtual Workshop

Related Articles

Parallelism in Python

Parallelism in Python: Directing Vectorization with NumExpr

  • Company Overview
  • Contact Intel
  • Newsroom
  • Investors
  • Careers
  • Corporate Responsibility
  • Inclusion
  • Public Policy
  • © Intel Corporation
  • Terms of Use
  • *Trademarks
  • Cookies
  • Privacy
  • Supply Chain Transparency
  • Site Map
  • Recycling
  • Your Privacy Choices California Consumer Privacy Act (CCPA) Opt-Out Icon
  • Notice at Collection

Intel technologies may require enabled hardware, software or service activation. // No product or component can be absolutely secure. // Your costs and results may vary. // Performance varies by use, configuration, and other factors. Learn more at intel.com/performanceindex. // See our complete legal Notices and Disclaimers. // Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See Intel’s Global Human Rights Principles. Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.

Intel Footer Logo