Introduction Logging helps you keep track of events happening during the execution of your code, which can then be used in the future for debugging purposes. It provides a better picture of the flow of the application and helps developers trace the source of errors that happens during execution of your code, thereby enhancing the maintainability of the application. In Python, most of the basic logging features are provided by the Python standard library. Hence, you can add logging to […]

What is a Nested Function? Functions are one of the “first-class citizens” of Python, which means that functions are at the same level as other Python objects like integers, strings, modules, etc. They can be created and destroyed dynamically, passed to other functions, returned as values, etc. Python supports the concept of a “nested function” or “inner function”, which is simply a function defined inside another function. In the rest of the article, we will use the word “inner function” […]

Introduction Even for someone not interested in computer programming, the usefulness of generating random numbers in certain circumstances is something obvious. In most board games we throw dice to generate an unpredictable number that defines the player’s next move. Also, we can all agree that playing any card game would be pointless without a proper shuffle between rounds. But random numbers are not only important in relatively trivial fields like entertainment or gambling. They’re especially crucial in the field of […]

In my previous article, I explained how the Pandas library can be used for plotting basic and time series plots. While Pandas, Matplotlib, and Seaborn libraries are excellent data plotting libraries, they can only plot static graphs. Static plots are like simple non-interactive images. In most of the cases, static plots are enough to convey the information. However, in some cases you may like to add user interactivity to your plots. In this article, we will see how the Python’s […]

Introduction Collections in Python are containers that are used to store collections of data, for example, list, dict, set, tuple etc. These are built-in collections. Several modules have been developed that provide additional data structures to store collections of data. One such module is the Python collections module. Python collections module was introduced to improve the functionalities of the built-in collection containers. Python collections module was first introduced in its 2.4 release. This tutorial is based on its latest stable […]

Introduction One of the most “obscure” features of Python that almost all Python programmers use, even the beginner ones, but don’t really understand, is context managers. You’ve probably seen them in the form of with statements, usually first encountered when you learn opening files in Python. Although context managers seem a little strange at first, when we really dive into them, understand the motivation and techniques behind it, we get access to a new weapon in our programming arsenal. So […]

What are Iterators? An iterator in Python refers to an object that we can iterate upon. The iterator consists of countable values, and it is possible to traverse through these values, one by one. The iterator simply implements the Python’s iterator protocol. The iterator protocol is a Python class which comes with two special methods, namely __iter__() and __next__(). With these two methods, the iterator is able to compute the next value in the iteration. With iterators, it is easy […]