This resource center includes a collection of technical presentations, whitepapers, software download links, videos, and blogs to help developers with software development for platforms optimized for Intel® architecture.
May 17, 2017 - May 25, 2017, Portland, OR
PyCon is the largest annual gathering for the developer community who use the open-source Python* programming language. PyCon is organized by the Python community for the community.
May 8, 2017 - May 11, 2017, Austin, TX
OSCON is where the open source community gathers to celebrate achievements, spark new ideas, and map the future of open computing through collaboration, education, and connecting people with technology.
October 1, 2017 - October 5, 2017, San Francisco, CA
JavaOne is an annual conference for software developers focused on Java* technologies.
Michael Greene, Intel VP and General Manager of System Technologies and Optimization in Intel’s Software and Services Group, discusses enabling a smart and connected world with Java at JavaOne 2016.
On this week's podcast you'll meet David Stewart, manager in the Data Center Software Technology group at Intel. We'll discuss the wide variety of work Intel is doing in open source and Python*.
Opening Keynote by Zend* founder, Andi Gutmans, focuses on the PHP renaissance, its implications for developers, and some exciting announcements.
OpenStack*, paired with Cloud Foundry*, offers a full, open-source cloud stack for cloud-native applications. By running Cloud Foundry on OpenStack, powered by Intel® architecture, application developers can realize the full value of Intel silicon and technologies. At its core, this cloud stack is very dependent on programming languages, such as Python and Go*. Intel is now investing in improving the performance of these runtime languages. In this presentation, we’ll talk about the work we’re doing to improve these and other similar server dynamic languages and some of the successes we’ve achieved, as well as future challenges and how we can help.
Performance Tuning of Python Applications by Vasilij Litvinov
This video presentation discusses the performance gains that were achieved with an experimental Python profiler. Examples based on real-life applications will be discussed, as well as some of the basics of what, why, and how to profile.