Libraries are collections of shared code. They're common in Python, where they're also called "modules," but they're also ...

The core value of functions lies in encapsulating repetitive computational logic into independent modules, achieving ...

Azure Functions, Microsoft's take on cloud-hosted, serverless, event-driven computing, now officially supports the Python programming language. The general availability of Python support follows a ...

The core of the Python data model architecture is special methods (also known as "magic methods"). These methods, which start ...

With Pulsar Functions, you can apply Python functions to pub/sub messages in Apache Pulsar to make machine learning predictions in real time. Here’s how. The need for AI and machine learning in ...

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks. Learning to code, whether with Python, JavaScript, or another ...

Python trades runtime speed for programmer convenience, and most of the time it’s a good tradeoff. One doesn’t typically need the raw speed of C for most workaday applications. And when you need to ...

This online data science specialization is designed for learners with little to no programming experience who want to use Python as a tool to play with data. You will learn basic input and output ...

Optimized apps and websites start with well-built code. The truth, however, is that you don't need to worry about performance in 90% of your code, and probably 100% for many scripts. It doesn't matter ...

Python is incredibly popular because it's easy to learn, versatile, and has thousands of useful libraries for data science. But one thing it is not is fast. That's about to change in Python 3.11, ...