Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

You don't have to resort to writing C++ to work with popular machine learning libraries such as Microsoft's CNTK and Google's TensorFlow. Instead, we'll use some Python and NumPy to tackle the task of ...

Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more. It may seem odd to ...

Python is powerful, extendable, intuitive programming language that you can use to automate test equipment. PyVISA is one of Python’s many libraries that extend its power to communicate with ...

This advanced version of the Google IT Support certificate teaches learners how to automate IT tasks using Python, Git and IT tools. The program includes hands-on exercises for scripting, system ...

Dr. James McCaffrey of Microsoft Research shows how to implement simulated annealing for the Traveling Salesman Problem (find the best ordering of a set of discrete items). The goal of a combinatorial ...

An experimental ‘no-GIL’ build mode in Python 3.13 disables the Global Interpreter Lock to enable true parallel execution in Python. Here’s where to start. The single biggest new feature in Python ...

Python's "multiprocessing" module feels like threads, but actually launches processes. Many people, when they start to work with Python, are excited to hear that the language supports threading. And, ...

You've heard about the next generation directory protocol called LDAP (lightweight directory access protocol), and you're wondering if it's possible to write programs that can interact with it. Maybe ...