Let’s get started by talking about the history of Python. (Don’t worry, it will be quick.) I do not want to bore you with the text but it is important to know where things come from.

Everything started with Guido Van Rossum in the ’80s in Amsterdam. Guido and other programmers were working with a new programme language called ABC and he had a lot of problems with it, so he decided to create Python to help with his problem. The main objective of Python was to be a programming language that is easy to manipulate and has simple comprehension. That way, any person could learn and start programming with Python.

Python has a strong and huge community of programmers helping it to grow even more. Furthermore, to what I said earlier, Data scientists saw an opportunity in Python to improve their work, especially because the company started producing more and more data and the tools they had were not enough to deal with. Can you imagine a program that can support a huge data flow, is easy to learn, creates codes and has an active community which helps the language grow, creating specific libraries inside the program? That was heaven to data scientists.

We shall talk more in-depth about libraries in Python in the next text. For now, a library is basically an extension where you can add Python to give you specific functions. Rather than writing a huge code to help you with a certain problem, you can add a library where you have the same results with simple commands. It is a great help to keep your code clean and save you a lot of time as well.

I will leave a link below of my GitHub, you will check some programming that I made to learn about the programming language. The exercises start with some silly questions, but it is really cool to understand how Python works.