In the last post introducing Python, I demonstrated how to make a simple app using variables and conditional statements. In order to do anything really powerful in a given programming language though, ...

Learning how to define a function in Python is one of the most important steps to mastering the language. Functions are blocks of code that perform a specific task and can be “called” from any point ...

A neural network implementation can be a nice addition to a Python programmer's skill set. If you're new to Python, examining a neural network implementation is a great way to learn the language. One ...

As with other programming languages, Python has libraries to make coding tasks easier. Here's how you can take advantage of them, and how you can create your own libraries as well. Libraries are ...

Python is a powerful programming language that is easy to learn and easy to work with, but it is not always the fastest to run—especially when you’re dealing with math or statistics. Third-party ...

A superset of Python that compiles to C, Cython combines the ease of Python with the speed of native code. Here's a quick guide to making the most of Cython in your Python programs. Python has a ...

Let’s face it, robots are cool. They’re also going to run the world some day, and hopefully, at that time they will take pity on their poor soft fleshy creators (a.k.a. robotics developers) and help ...

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 ...

Have you ever wondered how you can leverage the power of AI local language models locally right on your laptop or PC? What if I told you that setting up local function calling with a fine-tuned Llama ...