In this episode I have an amazing conversation with Lillian Pearson from data-mania.com This is an action-packed episode on how data professionals can...
Is there a gap between life sciences and data science? What's the situation when it comes to interdisciplinary research? In this episode I am with Lau...
In this episode I am with George Hosu from Cerebralab and we speak about how dangerous it is not to pay for the services you use, and as a consequence...
In this episode I speak with Ritchie Vink, the author of Polars, a crate that is the fastest dataframe library at date of speaking :) If you want to p...
Do you want to know the latest in big data analytics frameworks? Have you ever heard of Apache Arrow? Rust? Ballista? In this episode I speak with And...
Pandas is the de-facto standard for data loading and manipulation. Python is the de-facto programming language for such operations. Rust is the underd...
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 par...
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 par...
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 servi...
In this episode I am with George Hosu from Cerebralab and we speak about how dangerous it is not to pay for the services you use, and as a consequence...