
PyConBY 2021 (March 13) Online Conference
@pyconby
๐ Online edition of annual Python conference โพ๏ธ March 13, 2021
#pyconby
ID: 806185267115737089
https://by.pycon.org 06-12-2016 17:15:20
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No doubt Bayesian model is a great tool to solve DS issues, although many newcomers still experience challenges understanding the concepts even when using packages like PyMC3. Thomas Wiecki will try to explain these underlying concepts in an intuitive way with no regard to math.


Together with ลukasz Langa moved to ๐ฆ we'll try to find a workable compromise between languages with dynamic type systems, freeform document databases and strong static type systems, relational databases. Can we somehow reap the benefits of both? Let's find out ๐ by.pycon.org


Do you contribute to open-source projects? Or maybe you're an open-source maintainer already? Surely being a new open-source contributor or maintainer has its own challenges. In her inspiring talk, Mariatta ๐คฆ will share her own journey & the things she's learned along the way.


What is the Diagrams and why use it? Diagrams lets you draw the cloud system architecture in Python code. Its author mingrammer will introduce it and share how it was designed and built. ๐ by.pycon.org


How do you keep an eye on your ML model performance? In her talk Emeli Dral will share what new failure modes to prepare for, and how to set up model monitoring using open-source tools. ๐ by.pycon.org




Let's talk about the production monitoring of ML models! With Alejandro Saucedo | KubeCon 2025 AI Day Keynote you'll cover monitoring techniques applied into deployed ML models, & more advanced paradigms to monitor the models through concept drift, outlier detector & explainability. Hands-on examples included :)



Strengths & weaknesses of Python lend themselves to a different style of object-oriented programming. By accepting some constraints on how we design & implement classes, we make our code more robust, testable, & easier to adapt to the circumstances. Join Moshe Zadka for more ๐ค


Many systems we build fail to account for performance, error rates, data correctness, or other customer reliability needs. The talk by Andy Fundinger discusses the basics of service level objectives by comparing them to ordinary functional specifications. ๐ by.pycon.org


Do you remember NES (aka "Dendy")? Ivan Nikolaev shows you how it worked & how games for it were made. But to keep your sanity in place, there'll be almost no assembly. Instead, you'll learn how to make your own compiled programming language in Python, to make the game dev fun again!


Do you like word games? Join the keynote Joel Grus ๐ค to find out how to use Python first to "cheat", then to more deeply explore the space of puzzles and solutions. ๐ by.pycon.org


We would like to thank Python Software Foundation for its support and input! The mission of PSF is to promote, protect, advance the Python programming language, & to support, facilitate the growth of a diverse and international community of Python programmers ๐ python.org/psf/


PyTorch Lightning reduces the engineering boilerplate & resources required to implement state-of-the-art AI. In the talk, JirkaโกBorovec starts with an overview of Deep Learning & shares practical Lightning examples to demonstrate how to train DL models with less boilerplate.


We thank our partner Manning Publications - an independent publisher of computer books for software developers, engineers, architects, system administrators, managers and all who are professionally involved with the computer business. Learn more ๐ manning.com


Why & how to adopt best practices for ML projects? How to automate continuous integration & ML-models delivery to get better codebase structure & to do data management? Why to do code review of experimental code? Andrei Khobnia tries to answer these questions by sharing his experience.


