In this episode I have an amazing conversation with Lillian Pierson from data-mania.com This is an action-packed episode on how data professionals can quickly convert their […]
Is there a gap between life science and data science?What’s the situation when it comes to interdisciplinary research?In this episode I am with Laura Harris, Director […]
Pandas is the de-facto standard for data loading and manipulation. Python is the de-facto programming language for such operations. Rust is the underdog. Or is it?In […]
In plain English, concurrent and parallel are synonyms. Not for a CPU. And definitely not for programmers. In this episode I summarize the ways to parallelize […]
In plain English, concurrent and parallel are synonyms. Not for a CPU. And definitely not for programmers. In this episode I summarize the ways to parallelize […]
This is one of the most dynamic and fascinating topics: API technologies for machine learning. It’s always fun to build ML models. But how about serving […]
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