Python

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.

If you're searching for the holy grail of bug-free code in JavaScript, Python, Ruby, Swift, and/or Scala, look no further! This monad tutorial by Toptal Freelance Functional Programmer Alexey Karasev takes you from category theory to the practical implementations of the Option/Maybe, Either, and Future monads, plus a sample program—in all five languages.

Let's face it, robots are cool. In this post, Toptal Engineer Nick McCrea provides a step-by-step, easy-to-follow tutorial (with code samples) that walks you through the process of building a basic autonomous mobile robot.

Leveraging DeepMind's breakthrough AI approaches takes some work, but the results are astounding. In this article, Toptal Freelance Deep Learning Engineer Neven Pičuljan guides us through the building blocks of reinforcement learning, training a neural network to play Flappy Bird using the PyTorch framework.

Employing Python to make machine learning predictions can be a daunting task, especially if your goal is to create a real-time solution. However, Tensorflow and Scikit-Learn can significantly speed up implementation. In this article, Toptal Python Developer Guillaume Ferry outlines a simple architecture that should help you progress from a basic proof of concept to a minimal viable product without much hassle.