Python

Python and R empower data scientists to solve problems using elegant syntactic sugar, simplifying coding and solution exploration. Each language brings its unique capabilities and approach to bear.

With a tour that includes Julia, Rust, and more, dive into the fascinating world of metaprogramming and get a taste for its history, common forms (such as macros), importance, and potential future.

Learn how to develop a Django application coupled with pydantic where the development environment matches production.

Python and pydantic make a powerful runtime combination when validating data and settings, resulting in reduced debugging and a simplified code base.

Colloquial language doesn’t lend itself to computation. That’s where natural language processing steps in. Learn how topic modeling helps computers understand human speech.

Smart homes are the future, but what do you do if you have an old air conditioner or heater in your home? Replacing old devices isn’t always feasible, but you can automate them with a Raspberry Pi.

Data inundates us like never before—how can we hope to analyze it? Graphs (networks, not bar graphs) provide an elegant approach. Find out how to start with the Python NetworkX library to describe, visualize, and analyze "graph theory" datasets.

Good programming language frameworks make it easy to produce quality products faster. Great frameworks even make the whole development experience enjoyable. FastAPI is a new Python web framework that’s powerful and enjoyable to use.

TensorFlow is one of the leading tools for training deep learning models. Outside that space, it may seem intimidating and unnecessary, but it has many creative uses—like producing highly effective adversarial input for black-box AI systems.