At Apollo Agriculture, a Kenya based agro-tech startup, one of the challenging problems we face is to predict yields of Kenyan maize farmers. Like almost all data-sets, this data-set has a hierarchical structure: farmers within the same region aren’t independent. By ignoring this fact, a model could predict yields entirely from the region of the farmer, but fails to find any other meaningful insights, and we may not even realize. However, if we “overcorrected,” treating each region as completely separate, each individual analysis could be underpowered. Enter the hero of our story: Bayesian hierarchical modeling. Using a practical example in Pymc3, we’ll follow this hero as they identify and overcome clustered data-sets. Slides: https://pydata.org/london2022/wp-content/uploads/2022/07/Clusterf_ck_-A-practical-guide-to-Bayesian-hierarchical-modeling-in-Pymc3.pdf PUBLICATION PERMISSIONS:
PyData provided Coding Tech with the permission to republish PyData talks. CREDITS:
PyData YouTube channel: https://www.youtube.com/c/PyDataTV https://www.youtube.com/watch?v=3ef-Xe4EOaQ

Writing software is hard. Writing good software is even harder. It requires focus, discipline and a great deal of perseverance. But with the right mindset, the process becomes a whole lot more manageable. If you've been writing code for some time, you know that almost all of the technical difficulties you have faced weren't the technical concepts, but the challenge of maintaining the right mindset. https://www.youtube.com/watch?v=K3gcuBWXmtM

Reveal the amazing possibilities of modern Fortran, the natively parallel and dominant language of high-performance computing. 📚📚📚
This video refers to the book Modern Fortran by Milan Curcic | http://mng.bz/Vy8x
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📚📚📚 About the book:
"Modern Fortran: Building efficient parallel applications" teaches you how to develop fast, efficient parallel applications with Fortran. To warm up, you'll start by building a simple application in modern Fortran, with a focus on reusable modules, functions, and subroutines. Next, you'll dive into Fortran's unique approach to parallel programming with coarrays. Finally, you'll take on advanced parallelism with teams and events, and interoperability with C. https://www.youtube.com/watch?v=-u7qa2SzlFU