Learn Coding in Python - Learning Plan

Learn Coding in Python - Learning Plan

Picking a new programming language to learn is tricky. Whether you are a beginner or advanced, it helps to know what topics to learn. To cover for the basics of a programming language, its advanced concepts, and quick tricks if any. For this reason, QuickCode is starting a series where we’ll be walking new learners on topics to focus when they begin learning a new programming language.

As a first in the series, we have picked to start with Python. Python has been steadily gaining ground to become one of the most popular programming languages of this decade, especially in the last 5 years. It’s fast emerging as a language of choice in Data Science, for Artificial Intelligence, machine learning, computer vision, web applications, and web services. The number of job opportunities connected to the Python language has also been growing rapidly across the US, Europe, China and India. Here’s a screenshot from world’s leading source of ranking of programming languages- Tiobe Index

Most Used Programming Languages as of Feb 2019, Source

Now that you are here and still reading, I am assuming that you had some basic interest in learning Python. On top of it we have also done our research and it’s evident that learning Python as a programming language in 2019, is a good decision for a wide job market. Now without further ado, let’s dive into a learning plan for Python:

Beginner Topics to focus on Python [Day 1–5]

1. Start with Command Line basics in Python [Installing, updating, running code]

2. Python Data Structures and Objects

3. Python Operators

4. Python Statements

5. Methods and Functions in Python

For beginners, you can check out one of the below Python courses listed on our platform QuickCode.

Python language learn easily coding with practice sessions - Free online course

Intermediate Topics to focus on Python [Day 6–11]

6. Object Oriented Programming in Python

7. Modules and Packages in Python

8. Error Handling And Exceptions

9. Python Decorators and Generators

Complete Python Bootcamp: Learn Python Programming and Code - online course

Advanced Topics to focus on Python [Day 12–17]

10. Collections in Python- Counter, DefaultDict, OrderDict, NamedTuple

11. Debugging in Python-pdb

12. Regular Expressions

13. StringIO

14. Advanced usage of Python Data Structures

15. GUIs with Python

The Complete Python 3 Course: Beginner to Advanced! - Free online course
Python Core and Advanced - Free online course

Specialized Areas to develop projects with Python [Day 18–30]

16. Web Application Development with Python

Python Django Crash Course - Free online course

17. Creating Bots with Python

The Rockstar's Guide to Creating Telegram Bots With Python - Free online course

18. Data Science with Python

Python for Data Science - Free online course

19. Game Development with Python

Python Game Development : Creating a Snake Game from scratch - online course

20. Machine Learning with Python

Machine Learning with Python - Free online course

Complementary Skills To Brush Up for a Job

Incidentally the job market for programming is such that one language alone may not suffice all the requirements for a role. It needs to be paired with some complementing language or technical skills which would help you work in a company with multiple systems. So in order to increase your job chances, you would want to pair them with at least one (if not more) additional language skills for coding:

  1. Basic HTML, CSS ( for web development)
  2. Basic Javascript, Jquery (for web development)
  3. Basic SQL (must have for any role)
  4. Statistics (for Data Analyst roles)
  5. Linear Algebra (for Machine Learning roles)

If you need to revise any of the above courses, you can search for one of the free courses on our same platform here.

We all want to achieve something after learning something, especially something as rigorous as programming. Its no secret that most of the jobs of future will be centered around computer programming, coding and other related skills. Of course, many learn out of their own interest or to make their own applications. But if you are someone looking for a job after a significant learning effort, then these are some of the job roles you can target with Python:

  1. Data Analyst
  2. Data Scientist
  3. Python Django Developer
  4. Python Web Developer
  5. Senior Python Developer
  6. AI Software Engineer with Python
  7. Machine Learning Engineer Python


This article is a first in our new series of ‘Learning Plan’, to help students learn a new language in a step wise manner. It’s an initiative we are taking based on the pain points we uncovered after talking to some of our users. We figured it would help students to have some example courses to look for whenever interested in a topic of their choice. Also as a next step what other complementary skills they might need when targeting a particular job role in mind.

However, there’s always a scope to do better. So it be awesome if you would like to share any ideas to help us plan our next article better. Be it the next ‘Learning Plan’ in the same series, or some other type of article where we can help better. Quickcode will be grateful for your ideas, appreciation and feedback of any kind.

P.S. We’ll be experimenting with different pictures for our articles, let us know how you like it! (or not !)