In this article, I am going to explain the concept of Objects and Classes in Python. Why Object Oriented Programming (OOP)? OOP allows programmers to create objects with methods and classes. …

This article will help you understand the concept of decorators in Python programming and how best to use them. Why use Decorators Decorators: Decorators can help you avoid unnecessary repetitions across your codebase. You can change the way functions behave with very little refactoring effort. How?: Repeated bits of code can be pulled…

In this article, I will show you the libraries and techniques that you can use when working with the You Tube API. Task— API on Public Information Let us calculate the duration of each video from the below-mentioned playlist(on student clubs) in Google Developer. Then we shall also calculate the total duration of all videos…

Did you know Google Sheets can be used as a lightweight database? In this article, I will show how you can run a simple Python script to automate the process of extracting data from Google Sheets & turn Google Sheets into your own database. Let me introduce you to the…

There are four collection data types in the Python programming language: List is a collection that is ordered and changeable. It allows duplicate members. Tuple is a collection that is ordered and unchangeable. It allows duplicate members. Set is a collection that is unordered, unchangeable*, and unindexed. …

Introduction GitHub is a website, a cloud-based service that helps users store, manage code, track and control changes. Specifically, Git is a distributed version control system. This means that the entire codebase history is available on every developer’s computer. The word “Git” implies version control. In other words, it allows developers…

Is SQL needed for Business Professionals? SQL is one of the easiest computer languages to learn. These days more and more companies are encouraging their employees in non-IT areas (like sales, advertising, and finance) to learn and use SQL. When business is empowered to answer data-related questions themselves, the decision makers can then transform these insights…

Machine Learning and “Natural Language Processing” (NLP) can both uncover previously invisible patterns in these kinds of datasets, but can also automate certain tasks, freeing up people to do the higher-value, more creative work that machines can’t do. …

Gradient Descent Gradient Descent is the pillar behind most Machine Learning. When you fit a machine learning method to a training dataset, you’re probably using Gradient Descent. In this article I decided to show you exactly how it works, so please stay tuned if you want to know the mathematics behind this…