Olga Pustovalova
@olp-cs.bsky.social
Software engineer #Python #Rustlang #RStats #MachineLearning #NLProc #NLP #digitalhealth
https://www.linkedin.com/in/olgapustovalova/
https://www.linkedin.com/in/olgapustovalova/
November 3, 2025 at 11:00 AM
August 10, 2025 at 6:56 AM
Rust eBooks Nightly
This project automatically builds and publishes the latest versions of books:
• The Rust Programming Language
• Rust Cookbook
• Asynchronous Programming in Rust
• Learning Rust With Entirely Too Many Linked Lists
etc.
artur-sulej.github.io/rust-ebooks/
This project automatically builds and publishes the latest versions of books:
• The Rust Programming Language
• Rust Cookbook
• Asynchronous Programming in Rust
• Learning Rust With Entirely Too Many Linked Lists
etc.
artur-sulej.github.io/rust-ebooks/
Rust eBooks - Rust eBooks
artur-sulej.github.io
August 2, 2025 at 3:20 PM
Rust eBooks Nightly
This project automatically builds and publishes the latest versions of books:
• The Rust Programming Language
• Rust Cookbook
• Asynchronous Programming in Rust
• Learning Rust With Entirely Too Many Linked Lists
etc.
artur-sulej.github.io/rust-ebooks/
This project automatically builds and publishes the latest versions of books:
• The Rust Programming Language
• Rust Cookbook
• Asynchronous Programming in Rust
• Learning Rust With Entirely Too Many Linked Lists
etc.
artur-sulej.github.io/rust-ebooks/
June 19, 2025 at 3:06 PM
Reposted by Olga Pustovalova
The Illustrated DeepSeek-R1
Spent the weekend reading the paper and sorting through the intuitions. Here's a visual guide and the main intuitions to understand the model and the process that created it.
newsletter.languagemodels.co/p/the-illust...
Spent the weekend reading the paper and sorting through the intuitions. Here's a visual guide and the main intuitions to understand the model and the process that created it.
newsletter.languagemodels.co/p/the-illust...
January 27, 2025 at 8:22 PM
The Illustrated DeepSeek-R1
Spent the weekend reading the paper and sorting through the intuitions. Here's a visual guide and the main intuitions to understand the model and the process that created it.
newsletter.languagemodels.co/p/the-illust...
Spent the weekend reading the paper and sorting through the intuitions. Here's a visual guide and the main intuitions to understand the model and the process that created it.
newsletter.languagemodels.co/p/the-illust...
Reposted by Olga Pustovalova
We’re building a new static type checker for Python, from scratch, in Rust.
From a technical perspective, it’s probably our most ambitious project yet. We’re about 800 PRs deep!
From a technical perspective, it’s probably our most ambitious project yet. We’re about 800 PRs deep!
January 29, 2025 at 5:18 PM
We’re building a new static type checker for Python, from scratch, in Rust.
From a technical perspective, it’s probably our most ambitious project yet. We’re about 800 PRs deep!
From a technical perspective, it’s probably our most ambitious project yet. We’re about 800 PRs deep!
December 16, 2024 at 9:04 AM
Reposted by Olga Pustovalova
PyData London 2024: Test-Driven Data Analysis in Python @njr0.bsky.social
Tutorial: tdda is a library for improving quality in data processes.
Nick covers generating constraints, reference tests for analysis and automatically creating Python tests with tdda.
youtu.be/iM89ZoJYdwE?...
Tutorial: tdda is a library for improving quality in data processes.
Nick covers generating constraints, reference tests for analysis and automatically creating Python tests with tdda.
youtu.be/iM89ZoJYdwE?...
Nick Radcliffe - Test-Driven Data Analysis in Python | PyData London 2024
YouTube video by PyData
youtu.be
December 1, 2024 at 7:19 PM
PyData London 2024: Test-Driven Data Analysis in Python @njr0.bsky.social
Tutorial: tdda is a library for improving quality in data processes.
Nick covers generating constraints, reference tests for analysis and automatically creating Python tests with tdda.
youtu.be/iM89ZoJYdwE?...
Tutorial: tdda is a library for improving quality in data processes.
Nick covers generating constraints, reference tests for analysis and automatically creating Python tests with tdda.
youtu.be/iM89ZoJYdwE?...
Reposted by Olga Pustovalova
It seems that the PyData Paris talks are up. There are lots of good talks in them, but I might recommend starting with this one. The calibration points at the end make a lot sense!
KEYNOTE: Olivier Grisel - Handling predictive uncertainty in Machine Learning | PyData Paris 2024
Machine Learning practitioners build predictive models from "noisy" data resulting in uncertain predictions. But what does "noise" mean in a machine learning...
www.youtube.com
November 27, 2024 at 9:11 AM
It seems that the PyData Paris talks are up. There are lots of good talks in them, but I might recommend starting with this one. The calibration points at the end make a lot sense!
Creative, insightful, inspiring — RustLab in Florence, Nov 2024
December 6, 2024 at 7:31 PM
Creative, insightful, inspiring — RustLab in Florence, Nov 2024