The common advice when Python is too slow is to switch to a low-level compiled language like Cython or Rust. But what do you do if that code is too slow? At that point you might start thinking about parallelism: using multi-threading or multi-processing so you can take advantage of multiple CPU cores. But parallelism comes with its own set of complexities; at the very least, some algorithms can only really work in a single-threaded way. So what can you […]

In this tutorial, you’ll learn various techniques to catch multiple exceptions with Python. To begin with, you’ll review Python’s exception handling mechanism before diving deeper and learning how to identify what you’ve caught, sometimes ignore what you’ve caught, and even catch lots of exceptions. Python raises an exception when your code encounters an occasional but not unexpected error. For example, this will occur if you try to read a missing file. Because you’re aware that such exceptions may occur, you […]

In Python, operators are special symbols, combinations of symbols, or keywords that designate some type of computation. You can combine objects and operators to build expressions that perform the actual computation. So, operators are the building blocks of expressions, which you can use to manipulate your data. Therefore, understanding how operators work in Python is essential for you as a programmer. In this tutorial, you’ll learn about the operators that Python currently supports. You’ll also learn the basics of how […]

Unlocking Python’s true potential in terms of speed through shared-memory parallelism has traditionally been limited and challenging to achieve. That’s because the global interpreter lock (GIL) doesn’t allow for thread-based parallel processing in Python. Fortunately, there are several work-arounds for this notorious limitation, which you’re about to explore now! To get the most out of this advanced tutorial, you should understand the difference between concurrency and parallelism. You’ll benefit from having previous experience with multithreading in programming languages other than […]

Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, you’ll learn the basics of object-oriented programming in Python. Conceptually, objects are like the components of a system. Think of a program as a factory assembly line of sorts. At each step of the assembly line, a system component processes some material, ultimately transforming raw material into a finished product. An object contains data, like the raw or […]

From restaurant e-menus to airline boarding passes, QR codes have numerous applications that impact your day-to-day life and enrich the user’s experience. Wouldn’t it be great to make them look good, too? With the help of this tutorial, you’ll learn how to use Python to generate beautiful QR codes for your personal use case. In its most basic format, a QR code contains black squares and dots on a white background, with information that any smartphone or device with a […]

In August 2023, Python 3.12.0rc1 came out! With several exciting features, improvements, and optimizations, this release is only two steps away from the final release scheduled for October. If you want to stay on the cutting edge, then you must give it a try. But note that you shouldn’t use it in production. Another exciting release was Python in Excel, which allows you to leverage the power of Python inside your Excel workbooks. You’ll be able to use Python’s data […]