What are the learning stages of Python?

If you are from Tier 3 college or some other private college, you may fight with the confusion created by your college teachers to learn C, C++ then some other language. Semester changes, teacher changes, language changes, concept changes but you see no progress, stuck with new language every time and by the time you coverup basics and new concepts along with assignments, attendance and exams another new semester already waiting at your door. I realized this mess during my 6th semester before placement preparation and started to find every possible solution before I get into bigger troubles.

Here is brief what I actually did in 6 month that changed my life entirely by spending less than Rs.4000 and gaining knowledge of more than 3 year combined and helping me to get Job offer for 6L–9L as fresher.

Follow these 5 Courses in Sequence, you will surely see your progress
(Check my Profile Bio for course links) -

1 . Complete Python Programming A-Z For Beginners - Developing 5 Projects | (Time - 1 Month)
1st Course will help you to learn Python along with strong foundation, Object Oriented Concepts and projects that will help you to get started. It cover basic project related to,
- Desktop App with Tkinter,
- Data Analysis with Pandas,
- Face Recognition with OpenCV,
- Twitter Bot Automation with Tweepy and more!

This course will make you comfortable with python properly even if you are beginner!

2. Git and GitHub Beginners Crash Course - Practical Bootcamp | (Time 1 Week)
2nd Course focuses on how codes/projects are managed, how different version of your program is managed and how to share your project when someone ask and how to clone project.

3. Django Web Development | (Time - 1 Month)
3rd Course focuses on Backend Development with Python along with Project.

4. Data Structure And Algorithm With Python | (Time 1 Month)
4th Course will help you to understand DSA and along its importance after building projects.

5. Python REST API, Docker and AWS | (Time 1 Month)
5th Course will help you to focus on bit advance stuff of development and behind the scene.

Now spend next 2 months on building self projects and strengthening your command on Python.

It will take you 6 months to properly complete these 5 course sand by the end of 6th month you will have knowledge of Python, understand how to manage codes, how backend work, decent understanding of DSA and some good advance topics of Python. You are good to go for your Placement Plans now!

Important -
- All courses I mentioned are less than 13-15 Hour, 99% people don’t complete courses above that length.

- Even if you are 1st Semester Student you can start them in this sequence.

- YouTube is big Distraction House - One 10 min. video takes Four different 10 min. video and breaks your flow.

- If you really want to learn just spend these 3k-4k INR and dedicate 1 month for each course, you will see the difference. This small investment will worth every penny when you get your 1st Job/Internship Offer Letter.

You spend Lakhs on your college and haven't thought much about them but you will surely hesitate to spend this amount!

• How to Learn Python: 6 Steps for Success.
• Understand why you're learning Python.
• Get started with the Python basics.
• Write your first Python program.
• Master intermediate Python concepts.
• Learn by doing.
• Build a portfolio of projects.
• Keep challenging yourself.

The learning stages of Python start with the basics, where you learn syntax, variables, data types, loops, and functions. Next, the intermediate stage covers file handling, error handling, and working with modules and libraries. The advanced stage involves object-oriented programming, decorators, generators, and data structures. After mastering these, you can specialize by learning frameworks like Django and Flask or data science libraries like NumPy and Pandas. Finally, applying your skills through real-world projects and consistent practice helps solidify your understanding and expertise.

ython learning stages begin with basics: understanding syntax, data types, variables, and loops. In the intermediate phase, you’ll focus on functions, modules, file handling, and error management. The advanced stage introduces object-oriented programming, data structures, and concepts like decorators and generators. Afterward, explore libraries like Pandas for data science or Django for web development. Finally, apply your skills by building real-world projects to solidify your learning and gain hands-on experience.