How are data and next-generation computing technologies transforming our world? Who are the inventors, the business leaders, and the rebels and scientists at the heart of the AI revolution? On Numerically Speaking, we dive into data, quantitative computing, and business and entrepreneurship as we speak to creators of cutting-edge open-source tools and look at their impact on research in every domain. We're excited to bring you insights about data, science, and the people that make it all happen.
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.
Several years ago, Carl and his team started working on a project called Cinder in an effort to improve CPU efficiency across Meta’s servers by “[optimizing] things at the level of Python runtime.” While initially meant to serve as a stop gap, Cinder yielded impressive wins that transformed it into a premier and ongoing project at Instagram.
In addition to Cinder, Peter and Carl discuss:
Carl’s 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
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