Python

Commercial solvers such as Gurobi are playing an increasingly important role in optimization, and they tend to boast more features than open-source solutions. In this article, Toptal Python Developer Sean Wang explains how you can integrate the HorusLP package with Gurobi’s API to harness its most advanced features.

The increasing accuracy of machine learning systems has resulted in a flood of applications using them. As machine learning models matured and improved, so did ways of attacking them. In this article, Toptal Python Developer Pau Labarta Bajo examines the world of adversarial machine learning, explains how ML models can be attacked, and what you can do to safeguard them against attack.

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.

HorusLP is a new Python tool designed to help with the architecture of algorithm development workflows. It provides an architectural framework for the development of optimization algorithms. In this article, Toptal Freelance Software Engineer Shanglun Wang explains how HorusLP came to be and demonstrates its capabilities with a few example algorithms.

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.