Python programming
February 27, 2020


choosing your first programming language can be a difficult decision to make. You will spend a lot of time with it and it’s not always just a walk in the park along the way.

There are plenty of suitable languages for beginners with enough resources online alone for learning pretty much any language out there.

For me, Python was the first programming language I started learning. In this post, I will share a few reasons why Python was the right choice and why it’s a great programming language for absolute beginners.

Python programming

Python was first released in 1991. So we’re not talking about something new in the market. However, Python’s experienced somewhat of a boom in the past years.

It’s is a high-level programming language, meaning it’s far from a machine language, making it easier for beginners to read and grasp.

Furthermore, being a general-purpose programming language, Python is quite versatile for different sorts of projects.

Python is administered by the non-profit Python Software Foundation.

If You are interested to Learn Python you can enroll for free live demo Python Online Training

First off: everything you need for writing Python is free and available online! The language is open source and free to use for everyone, even for commercial projects and applications.

Basically you just need to install Python on your computer and pick a text editor to write your code. Then just use your Terminal to execute your programs or alternatively use the platforms offered by some text editors.

There are plenty of reasons why Python is well-suited for anyone just getting into programming. Let me point out that, since it was my first language, I might be a bit biased. You know, like moms are with their first children.


One of the fundamental ideas behind Python is to facilitate writing easily readable, “clean” code.

Moreover, the code is relatively easy to read since it somewhat resembles everyday English. This makes it easier to type than some other languages, too.

Additionally, the language uses proper indentation as an additional, “forced” way of making the code clearer and more structured. At least in my eyes, that it.

For anyone writing and reading code in Python, this all helps spot the eventual errors and bugs in the code, too.

To further emphasize some Python fundamentals, here are a few points from the core philosophy of the language, “The Zen of Python”:

  1. Beautiful is better than ugly.
  2. Explicit is better than implicit.
  3. Simple is better than complex.
  4. The complex is better than complicated.
  5. The flat is better than nested.
  6. Sparse is better than dense.
  7. Readability counts.


When you start learning Python, you will soon be writing small programs of your own.

Thanks to the clear and easy-to-learn syntax, you won’t be stuck with getting the hang of the basic dynamics of the language.

I found it extremely helpful for beginners that Python reads so much like English. For solving problems, you can write some “pseudo-code” first, listing the procedures necessary to reach the goal and solve the problem.

After a few days of practice with Python, your pseudo code will magically start to resemble real Python code.

In other words, Python’s simple and clear syntax allows you to focus on creating solutions for your problems quickly.

This was one of the things that kept me so motivated while learning Python. It felt so empowering to build my own small programs so fast!

Since Python a general-purpose language, developers use it for a variety of different projects:

  1. Data science
  2. Machine learning
  3. Web development
  4. Game development etc,

For a beginner in programming, this versatility is awesome. Here’s why:

When you are new to programming, you may not have a very clear idea of what you want to build in the future.

But as you go through a few practical exercises, you will soon spot the ones you find most intriguing.

Furthermore, you will find it easy to tell whether a field you first were interested in really is your thing.

Another point worth mentioning is the wide collection of standard libraries and additional packages.

A library is like a collection of “books” that extend your program’s functionalities and help you solve specific tasks with Python. This makes it easier for even beginners to start working on practical projects early on.

To mention a few, take a look at these:

  1. Pygal, a data analysis, and visualization library for interactive SVG graphs
  2. matplotlib, a plotting library popular among data scientists and academic researchers
    Pygame for developing games
  3. Django, a framework for developing web apps, easy to learn, a great alternative to Ruby on Rails

It’s really easy to get started with Python by taking an online course.

However, the Web is packed with programming tutorials, courses, forums, and other resources. It can sometimes feel difficult to know where to start.

To help you out, here are my favorite resources for beginners to start learning Python:

Their Python course is excellent for beginners to get the hang of the basic concepts of the language. Gamified learning works well in this case in my opinion, and the exercises are enough to tell if Python works for you. A great place to start at!

30 Days of Python:
For an all-in-one starter kit for Python, check out this course on Udemy. Justin, your awesome instructor, takes great care of you while you learn how to use Python for various different purposes while building real projects step-by-step with him by your side.

Python Crash Course:
This book is my absolute go-to! I got my hands on it when I first started with Python and it’s in my bookcase to stay. The author has an awesome approach, he makes sure beginners are not left alone at any point. Great exercises, even greater practical projects. You can get the book on Amazon right here.

Good exercises for practicing your newly acquired skills from Codecademy, for example.

Learn Python the Hard Way:
This book will make Python familiar to you in no time. It’s consistent, to the point, and it makes you go through the “boring” stuff too to understand the language better. Follow through and you’ll see results sooner than you thought. Here’s a direct link for getting your own copy on Amazon.

Intro to Computer Science at Udacity:
A great course for Python beginners. Suitable for intermediate programmers, too. The main project in the course is pretty cool: you’ll learn how to program a basic framework for a search engine. The instructor does a great job, throwing in a few jokes here and there.

When you start with projects of your own with Python, you will definitely come across a problem or two with your code. To help you out, the community around Python and the different packages and frameworks offer you to support such as:

  • Python Documentation by the Python Software Foundation
  • Python forums such as
  • PyCon conferences, several times each year
  • Django documentation for support with Django