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The Python developer's fast track to Rust Learn the language behind Ruff, uv, Polars, and Pydantic, then build your own compiled Rust extension and call it directly from Python. Learn more about the course on Talk Python: training.talkpython.fm/courses/up-and-running-with-rust
When Mozilla recently ran Claude over the Firefox JavaScript runtime , the AI uncovered more than 100 bugs, 14 of them serious enough to become CVEs. 🔥 That kind of agentic security review used to be the exclusive domain of expensive pen-testing firms. Not anymore. This course shows you how to do the same thing for your own Python web apps. We start by working through every category of the OWASP…
Have you tried AI coding tools only to end up frustrated, copying and pasting broken code from chatbots, or cleaning up poorly structured "AI slop"? There's a better way. Agentic AI Programming for Python teaches you to work with AI that acts like a skilled junior developer on your team: One who understands your entire codebase, runs your tests, formats your code, and builds complete features…
Data scientists get things done in notebooks, but production-quality work needs more than ad-hoc scripts. Just Enough Python for Data Scientists gives you the essential Python and software engineering habits to level up your analyses without drowning in theory. In a few focused hours, you’ll tighten up your core Python, write clean and reusable functions, organize code into importable packages,…
Dive into LLM Building Blocks for Python , a concise 1.2-hour video course that equips you with everything you need to integrate large language models into your Python applications. You’ll learn to move beyond “text in → text out” by turning your prompts into structured data, orchestrating chat-style workflows, and building interactive prototypes. From rapid-fire notebook experiments to…
Unlock the full velocity of modern data science with Polars, the blazing-fast DataFrame library built in Rust and delivered in Python. In this hands-on course you'll move from spreadsheet limitations and sluggish pandas workflows to lightning-quick analyses that handle millions of rows in the blink of an eye. Whether you're wrangling CSVs, taming messy Excel files, or joining multi-gigabyte…
Welcome to Effective PyCharm 2025 – The Complete Python IDE Course , your gateway to mastering one of the most powerful tools in Python development. This course is designed to transform your coding workflow by teaching you not just how to use PyCharm, but how to harness its full potential. Whether you're a beginner looking to dive into the world of professional development or an experienced…
There are dozens of ways to build web applications in Python. You can use Django or FastAPI with a Javascript front-end, or build a simple dashboard using a tool like Streamlit. However, almost all of the python web app frameworks are event-driven and require you to manually manage callback functions and application state. Shiny uses transparent reactive programming to let you build efficient…
There is a lot of text data out there and maybe you're interested in getting structured data out of it. Maybe you can make do without machine learning for this, but you might also consider using LLMs to help you with this. There are a lot of options out there and this course will introduce you to the field by focussing on spaCy while also exploring other tools. As a motivation example, we'll have…
When Python was originally invented way back in 1989, it was a truly dynamic and typeless programming language. But that all changed in Python 3.5 when type "hints" were added to the language . Over time, amazing frameworks took that idea and ran with it. They build powerful and type safe(er) frameworks. Some of these include Pydantic, FastAPI, Beanie, SQLModel, and many many more. In this course,…
