Python

Overview

Contents

Python is a programming language, first released in 1991, it is a high level, general purpose language that is used by both beginner and experienced developers. This is because it’s simplicity, readability and flexibility is extremely beneficial to help beginners learn Python, and its vast range of libraries which are easily accessible.

There are a wide range of industries and use cases that revolve around the use of Python. With its array of libraries, Python can be extremely powerful and be used to for data analysis, scientific computing, web development and artificial intelligence. Lots of companies use Python, including Google, NASA, Netflix, the New York stock exchange and something that has taken the world by storm over the last year or so, OpenAI’s GPT.

One of the reasons Python is so popular is its extensive standard library, which includes modules for tasks such as connecting to web servers, reading and writing files, and working with data. The large and active community of developers help contribute to a wealth of open-source libraries and frameworks that can be used to build virtually any type of application.

According to the TIOBE (The Importance of Being Earnest) Index, which ranks programming languages based on their popularity, Python is currently the most popular language in the world, with C, C++ and Java not far behind. It has consistently been one of the top five languages since 2003, and its popularity has been steadily increasing in recent years, especially with people getting started in their journey of learning to code.

As of 2021, it is estimated that there are around 10 million Python developers worldwide. The language is taught in universities and schools around the globe, but this doesn’t mean that you can only learn through those means. Learning to code can you grow your skill set regardless of what you do, and on the internet there are many resources available to help you learn Python, including tutorials, books, and online courses.

Data Analysis

Web Development

Automation

Game Development

Desktop Applications

Networking

AI & Machine Learning