Getting started
Basic concepts: taking our first steps
Using an IDE
Objects and classes
Loops, ranges, and iterators
Working with files
Exception handling
Python data types
Course project: building a TODO application
And now what?

What is Python used for?

People use Python in many places. Its rich base library makes it excellent for all kinds of little helper scripts. But it scales just as well to large systems. To illustrate: the original creators of YouTube used Python for the most part! Dropbox, as far as I know, is primarily written in Python as well.

You can use Python to automate tasks, perform calculations, create user interfaces, create website backends, access databases, download information from the Internet, etc. It’s a versatile language that is easy to learn and write. It’s perfect for beginning programmers but is just as useful and powerful for seasoned professionals.

Another quickly growing field of expertise is called data science. Many data scientists use Python for their day-to-day work. And these are just a few examples. If you start looking closely, Python is very ubiquitous.

Many people say that Python comes with batteries included. It’s a fun way of stating that it includes a comprehensive base library. In addition to this, you can find hundreds of thousands of external packages contributed by the enormous community. You’ll find supporting base libraries and packages for pretty much anything you want to accomplish.

It’s hard to measure the popularity of programming languages, and there are many different top lists and ranking systems out there. As an example, Python comes in second place on a well-known list of popular programming languages since January 2021. Javascript, due to its stronghold as a web development language, is often number one, though. This is obviously linked to the fact that you have no choice when it comes to browser languages.

Python’s popularity is a great advantage. There are vast amounts of tutorials, books, courses, sample code, and help available. Python is here to stay; learning it is a safe bet! In fact, Python jobs are generally raking high on the pay scale. This Python tutorial for beginners should give you a great start in thoroughly learning Python and advancing your career.