Python

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.

Web scraping has been around since the early days of the World Wide Web, but scraping modern sites that heavily rely on new technologies is anything but straightforward. In this article, Toptal Software Developer Neal Barnett demonstrates how you can use Python and Selenium to scrape sites that employ a lot of JavaScript, iframes, and certificates.

For those working with AI, the future is certainly exciting. At the same time, there is a general sense that AI suffers from one pesky flaw: AI in its current state can be unpredictably unreliable.

Chatbots are revolutionizing the way people interact with technology. In recent years, their simplicity and low cost have helped drive adoption across various fields and industries. In this article, Toptal Natural Language Processing Developer Ali Abdel Aal demonstrates how you can create and deploy a Telegram chatbot in a matter of hours.

Flask is a great way to get up and running quickly with a Python applications, but what if you wanted to make something a bit more robust? In this article, Toptal Freelance Python Developer Ivan PoleschyuI shares some tips and useful recipes for building a complete production-ready Flask application.

We’ll explore the application of parameterization and how it relates to mainstream design patterns such as dependency injection, strategy, template method, and others. In Python, many of these are made unnecessary by the fact that parameters can be callable objects or classes.