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 ...

Powerful and versatile as it is, Python lacks a few key capabilities out of the box. For one, there is no native mechanism for compiling a Python program into a standalone executable package. To be ...

The language of choice for large, high-performance applications in Linux is almost always C, or somewhat less often C++. Both are powerful languages that allow you to create high-performance natively ...

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 ...

Do you have a Python application you want to give to the world, or at least your teammates? Here are six ways to package Python applications for distribution. Python’s explosive growth over the last ...

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 ...

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, ...

I work in a lab where laptops are pervasive. They pushed out calculators, which decades earlier did the same to slide rules. As calculators become more powerful, for some jobs the Prime could be more ...

Google IT Automation with Python Certificate 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 ...

Programmers use the Python programming language to develop applications for use in Web and desktop environments. Python facilitates this through its extensive collection of libraries and the ...