{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"Optimizing Python for Speed and Compatibility","description":"In the penultimate episode of season one, host Peter Wang and Carl Meyer, Software Engineer at Instagram (owned by Meta), discuss considerations around making Python faster while maximizing compatibility and performance. &amp;nbsp; Several years ago, Carl and his team started working on a project called Cinder in an effort to improve CPU efficiency across Meta\u2019s servers by \u201c[optimizing] things at the level of Python runtime.\u201d While initially meant to serve as a stop gap, Cinder yielded impressive wins that transformed it into a premier and ongoing project at Instagram. &amp;nbsp; In addition to Cinder, Peter and Carl discuss: - Carl\u2019s experiences with various programming languages like TI-Basic, Perl, and PHP - Challenges around innovating on an established language with 30+ years of history - The potential evolution of Python use cases and best practices - And more! &amp;nbsp; Peter Wang -&amp;nbsp;https:\/\/www.linkedin.com\/in\/pzwang\/ Carl Meyer - https:\/\/www.linkedin.com\/in\/carljm\/ Instagram - https:\/\/www.linkedin.com\/company\/instagram\/ Cinder - https:\/\/github.com\/facebookincubator\/cinder &amp;nbsp; If you enjoyed today\u2019s show, please leave a 5-star review. For more information, visit https:\/\/www.anaconda.com\/podcast. &amp;nbsp; #Computing #AI #Data #DataScience #Analytics ","author_name":"Numerically Speaking: The Anaconda Podcast","author_url":"https:\/\/sites.libsyn.com\/422309","html":"<iframe title=\"Libsyn Player\" style=\"border: none\" src=\"\/\/html5-player.libsyn.com\/embed\/episode\/id\/25439682\/height\/90\/theme\/custom\/thumbnail\/yes\/direction\/forward\/render-playlist\/no\/custom-color\/88AA3C\/\" height=\"90\" width=\"600\" scrolling=\"no\"  allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen><\/iframe>","thumbnail_url":"https:\/\/assets.libsyn.com\/secure\/content\/143232102"}