Best Way to Learn Python ( Your Step-by-Step Guide )

As a software engineer, I am going to talk about how I started learning Python and what processes I went through and what I did to specialize in the field of Python, and what you need to do to become a professional in this field and get a job. 

First of all, everyone else has a lot of advice regarding learning Python programming. They talk about how you can learn Python in a short time and what you can do, get a job in this field, and change your life.

Then you listen to what they say and take a few courses. Then you realize that this is really not as easy as they say.

Even the syntax structures that are tried to be taught in the course you attended are not understood and are difficult to learn. Even if you finish the entire course, you realize that you are still not at the level to produce projects on real-life problems and you need to learn more.

 However, they said that everything would be very easy before you take the course. Let me tell you this. They don’t lie to you, but they don’t tell you the truth.

What do I mean here? Let me explain right away. Yes, you can do many things with Python programming, produce many projects and applications in real life, make a career in this field, and change your life. So far it is true. The point that is not explained here is that the courses you attended will not be sufficient for this job and you should continue to learn. Python developers, myself included, continue to learn throughout their lives.
In other words, you can only learn Python to a certain level with the courses you take mostly. So what’s the continuation? Let’s say right away.
 What can be done with Python? Let’s explain now: 
  • Data Science (Machine Learning): You can make applications such as voice and face recognition using machine learning libraries and frameworks. 
  • Automation: You can automate your work with a short script. 
  •  Websites : You can make a website with web frameworks like Django and Flask. 
  • Desktop and Mobile Apps : You can make desktop or mobile applications. 

What you can do with Python is not limited to these. Python has a wide range of uses. (Software Testing, Data analysis, Hacking, etc.)

What I want to explain here is that you can learn Python at a basic level with Python courses. From here, what you need to do is to take another training in the field you want to specialize in and continue learning. 

If you want to achieve all these goals, all you have to do is apply what you have learned.

 According to the studies of scientists, the best way to learn is to learn by doing.

It is a mistake to take all the courses and then assume that you know without doing anything. My advice to you as a software engineer is this : 

First, Set Your Goal: Determine why you want to learn Python. When you start learning something new, it will be difficult for you at first. Even if it is difficult for you when you start to learn a new programming language, that reason will cause you to continue learning.

So know why you want to learn, and that reason should keep you enthusiastic and motivated.

Learn by doing it: You will not learn the whole courses by just watching and then doing nothing. Try to do a project after you completed all the courses. For example, you want to automate some of the tasks in your life with an automation project. You can immediately make a project and put what you have learned into practice. By practicing this way, you will learn in real terms.

We said that the best way to learn is to learn by doing. By developing real-life applications, you are going to learn what you have learned during the course.

In addition, as we said at the beginning if you want to have a job in this field, you are going to have a project in your portfolio as someone who has done something in this field, so your chances of finding a job will increase.

You may be asking this. Is it possible to find a job without a degree in this field? My answer is definitely yes. There are a lot of self-taught people who do not have a degree in the software industry. Companies are more interested in what you can do for the company than your degree. To be honest, many companies don’t even ask your degree. 

So now that you know how to learn Python and how you can make a career in this field, let’s talk about where to start and how you should learn. I want to tell you this. If you want to be a real expert in a field, you should choose your teachers well.

There are many e-learning platforms where you can study Python online. Udemy, Coursera, Codeacademy, Udacity etc.

Like any professional person, I still continue to learn as a software engineer and learning is a process that will continue throughout our lives. During this period, I took many courses and I didn’t find good enough some of them and some of them were quite good. Now I will give you my advice on where to start if you want to learn Python programming, and which courses to take.




Codeacademy is a very high-quality online education platform that is one of the first visited places by those who want to learn programming.

The course I recommend to you here is the Codeacademy Learn Python 3 course. Approximately 45 million people attended this course and the course has approximately 25 hours of content.

In this course, you are going to learn : 

  • Syntax 
  • Functions 
  • Control Flow 
  • Lists 
  • Loops 
  • Strings
  • Modules 
  • Dictionaries 
  • Files 
  • Classes 
  • Function Arguments 



Datacamp is an online education platform that offers high-quality courses, especially in the fields of data science, where nearly 7 million people have been trained.
There are many people who study in Datacamp and then work in very important places.
Here you can find the stories of many people who changed their lives by making a professional career after training on Datacamp. 
The course I recommend to you is Datacamp’s Introduction to Python course. If we talk about the content of the course : 
  • Python Basics : An Introduction to the basic concepts of Python.
  • Python Lists : You are going to learn storing, accessing and manipulating data in lists.
  • Python Functions and Packages :  You’ll learn how to use functions, methods, and packages to efficiently leverage the code that brilliant Python developers have written. The goal is to reduce the amount of code you need to solve challenging problems!
  • Numpy :  NumPy is a fundamental Python package to efficiently practice data science. Learn to work with powerful tools in the NumPy array, and get started with data exploration.

Here is what I will suggest to you.

If you are not satisfied with Python and build a career in data science, I can say that this course is the first step for you. 





As I said earlier, I mentioned that you first need to know why you need to learn Python, and then learn by practicing.

The course I recommend here is one of udacity’s nanodegree courses.

Udacity nanodegree courses are a program that lasts for several months and teaches you by implementing continuous projects and then offers you a certificate.

There are a lot of people who started to work in very good places after getting Udacity nanodegree programs. If you want to pursue a career in data science, I recommend you to join this course.





Coursera is one of the e-learning platforms that has very good courses in programming.

The course I recommend here is the programming for everybody (Getting Started with Python) course.

With the training you will take here, you can learn Python to a certain level.

Then, if you want to specialize in the field of data analysis with Python and make a career, you can take this course as a continuation of the same instructor.

The second course is Python for Everybody ( Specialization) 





The last course I recommend to you is udemy’s 2020 Complete Python Bootcamp course.

In this course, you will be able to learn Python at the basic level and make applications with projects.


Along with all the above online training courses, I will list the best Python books I recommend you to read.

Best Python Books You Should Read

This is the second edition of the best selling Python book in the world. Python Crash Course, 2nd Edition is a straightforward introduction to the core of Python programming. Author Eric Matthes dispenses with the sort of tedious, unnecessary information that can get in the way of learning how to program, choosing instead to provide a foundation in general programming concepts, Python fundamentals, and problem solving. Three real world projects in the second part of the book allow readers to apply their knowledge in useful ways.
Readers will learn how to create a simple video game, use data visualization techniques to make graphs and charts, and build and deploy an interactive web application. Python Crash Course, 2nd Edition teaches beginners the essentials of Python quickly so that they can build practical programs and develop powerful programming techniques.
What you will learn  :
  • Programming Basics and Python Syntax
  • Games
  • Numerical Programming and Data Mining
  • Web Scraping
  • Web Development


Packages you will be  introduced to : 
  • pygame
  • matplotlib
  • pygal
  • requests
  • django
  • plotly
The second edition of this best-selling Python book (100,000+ copies sold in print alone) uses Python 3 to teach even the technically uninclined how to write programs that do in minutes what would take hours to do by hand. There is no prior programming experience required and the book is loved by liberal arts majors and geeks alike.
If you’ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you?
In this fully revised second edition of the best-selling classic Automate the Boring Stuff with Python, you’ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand–no prior programming experience required. You’ll learn the basics Python and explore Python’s rich library of modules for performing specific tasks, like scraping data off websites, reading PDF and Word documents, and automating clicking and typing tasks.
The second edition of this international fan favorite includes a brand-new chapter on input validation, as well as tutorials on automating Gmail and Google Sheets, plus tips on automatically updating CSV files. You’ll learn how to create programs that effortlessly perform useful feats of automation to:
  •  Search for text in a file or across multiple files
  •  Create, update, move, and rename files and folders
  •  Search the Web and download online content
  •  Update and format data in Excel spreadsheets of any size
  •  Split, merge, watermark, and encrypt PDFs
  •  Send email responses and text notifications
  •  Fill out online forms
Step-by-step instructions walk you through each program, and updated practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.
Don’t spend your time doing work a well-trained monkey could do. Even if you’ve never written a line of code, you can make your computer do the grunt work. Learn how in Automate the Boring Stuff with Python, 2nd Edition.
What you will learn : 
  • Programming Basics and Python Syntax
  • Web Scraping
  • GUI Development
  • Graphics and Computer Vision
  • Automating Common Computer Tasks
Packages you will be introduced to : 
  • requests
  • beautifulsoup4
  • pillow
  • pyautogui
  • openpyxl
  • ezsheets
  • ezgmail


Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages.
Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code.
  • Explore Python’s major built-in object types such as numbers, lists, and dictionaries
  • Create and process objects with Python statements, and learn Python’s general syntax model
  • Use functions to avoid code redundancy and package code for reuse
  • Organize statements, functions, and other tools into larger components with modules
  • Dive into classes: Python’s object-oriented programming tool for structuring code
  • Write large programs with Python’s exception-handling model and development tools
  • Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing
What you will learn  :
  • Programming Basics and Python Syntax


You Will Learn Python 3!
Zed Shaw has perfected the world’s best system for learning Python 3. Follow it and you will succeed—just like the millions of beginners Zed has taught to date! You bring the discipline, commitment, and persistence; the author supplies everything else.
In Learn Python 3 the Hard Way, you’ll learn Python by working through 52 brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. As you do, you’ll learn how a computer works; what good programs look like; and how to read, write, and think about code. Zed then teaches you even more in 5+ hours of video where he shows you how to break, fix, and debug your code—live, as he’s doing the exercises.
  • Install a complete Python environment
  • Organize and write code
  • Fix and break code
  • Basic mathematics
  • Variables
  • Strings and text
  • Interact with users
  • Work with files
  • Looping and logic
  • Data structures using lists and dictionaries
  • Program design
  • Object-oriented programming
  • Inheritance and composition
  • Modules, classes, and objects
  • Python packaging
  • Automated testing
  • Basic game development
  • Basic web development
It’ll be hard at first. But soon, you’ll just get it—and that will feel great! This course will reward you for every minute you put into it. Soon, you’ll know one of the world’s most powerful, popular programming languages. You’ll be a Python programmer.
This Book Is Perfect For
  • Total beginners with zero programming experience
  • Junior developers who know one or two languages
  • Returning professionals who haven’t written code in years
  • Seasoned professionals looking for a fast, simple, crash course in Python 3


What you will learn : 
  • Programming Basics and Python Syntax
  • Games
  • Web Development
Packages you will be introduced to :
  • flask


Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet. Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software. This book uses the Python 3 language. The earlier Python 2 version of this book is titled “Python for Informatics: Exploring Information”. There are free downloadable electronic copies of this book in various formats and supporting materials for the book at The course materials are available to you under a Creative Commons License so you can adapt them to teach your own Python course.
 What you will learn : 
  • Programming Basics and Python Syntax
  • Web Scraping
  • Database
  • Numerical Programming and Data Mining
Packages you will be introduced to : 
  • beautifulsoup4

Frequently Asked Questions




Future Of Python


Python is one of the fastest-growing languages in the world. Artificial intelligence (machine learning, deep learning), automation and data science have already caused many developments in our lives.

Artificial intelligence has made our lives easier and more prosperous.

Artificial intelligence is the future itself. The reason I say this is because the programming language mostly used in the fields of artificial intelligence and data science is Python.

And Python has long been one of the most popular languages.

For this reason, if you ask if Python is worth learning, we can say that learning Python is definitely worth it and a career in this field is an investment in the future.



Is It Hard to Learn Python ? 

Ok, learning python is an investment in the future and ensures a good career, is learning python difficult?
The Python programming language is often the first programming language learned by those who want to learn programming or pursue a career in software.
This is because Python’s syntax structure and code are easy to read, making it a very easy language to learn. Unlike Java or other programming languages, writing Python code is very easy.
Here is an example:
“Hello World”  Program in Java 
class HelloWorldApp {
public static void main(String[] args) {
System.out.println("Hello World!"); 



“Hello World”  Program in C# 

using System;

class Program{
static void Main(string[] args)
Console.WriteLine("Hello, world!");



And Here is “Hello World” Program in Python

print("Hello World") 

As you can see, unlike other programming languages, with Python, we can easily write code with a single line.

In short, we can say that learning Python is quite easy.

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software engineer
1 year ago

I always spent my half an hour to read this webpage’s
posts every day along with a mug of coffee.