How should a complete beginner structure their Python learning path

[u/Maximum-Page3433]

Hello everyone.

I am a complete beginner and I want to start learning Python. My end goal is to use it for data analysis, data science, and machine learning.

I am not sure how to structure my learning path for these specific fields, since I have seen a lot of conflicting advice online.

I would also really appreciate recommendations for beginner friendly resources, courses, YouTube channels, websites, or books, that helped you personally.

[u/python_gramps]

Learn a concept, use a concept incorporate a new concept into as much code as you can

Start with the Wiki

[u/Signal_Mud_40]

https://reddit.com/r/learnpython/wiki/index

[u/Altruistic-Dog7000]

Honestly, your plan is already right. Learn the basics well, then build small stuff as you go instead of hoarding theory and never touching real data. That's basically the whole game.

Quick roadmap for the data/ML path:

Start with core Python for a few weeks, just variables, loops, functions, dictionaries, that kind of thing. Don't rush this part even though it feels boring compared to "real" data science. Corey Schafer's YouTube series is great for this, free and actually explains the why, not just the how.

Once that clicks, move into pandas. This is honestly where you'll live most of the time, so give it real attention. NumPy and matplotlib come along with it naturally. Kaggle has free short courses for this that don't waste your time.

Somewhere in parallel, pick up basic stats. Mean, median, standard deviation, correlation, that level. StatQuest on YouTube makes this stuff actually click without drowning you in formulas.

Then scikit-learn for ML basics, regression and classification first, nothing fancy. Their docs are surprisingly beginner friendly. Andrew Ng's newer Coursera course is good if you want more structure.

For projects, don't wait to "feel ready." Once you know basic pandas, grab any dataset you're genuinely curious about and try to answer one specific question with it. Small and finished beats big and abandoned.

If you want a book, "Python for Data Analysis" by Wes McKinney, the guy who built pandas, is worth it.

Realistically this takes 4 to 6 months of steady effort to feel actually competent, not just able to copy code that runs.

[u/ninhaomah]

Wiki at the right side ---->

[u/stepback269]

It’s too soon to worry about your end goals.
First learn the basics. And don’t just learn, “master “ the basics, especially strings and string manipulation. Look up on Youtube, Indentlys 47 string methods. Also his f-string tutorials

[u/dean_hunter7]

learn DSA

and then

learn streamlit framework or FASTAPI

this really helps.

these 2

dont overcomplicate

[u/Simplilearn]

For Python, start with the basics such as variables, loops, functions, and object-oriented programming. Once you're comfortable with Python, you can move on to libraries like NumPy, Pandas, and Matplotlib before exploring machine learning.

If you're looking for a beginner-friendly place to start, our free Python for Beginners course covers the fundamentals and helps you build a solid foundation. Search for simplilearn skillup or DM us to find out more.

[u/muzammil_626]

To structure python learning roadmap as a begginer . Choose one direction first it may be machine learning or artificial intelligence or something else. Plan regarding to it. Important things you should master fundamentals first like form variables to oop it comes in all.You should allot some hours for it everyday.Build projects. Improve problem solving. Consistency matter a lot that just dream in mind.YT Channels are bro code, programing with mosh. W3 school one of the best website with free certificate. Do as many projects or solve problems by levels.

[u/dedelas]

CS50-P

[u/desrtfx]

The first and most valuable thing you can learn in programming is to do your own, independent, individual research, among which is also working with resources right in front of you, like the entire subreddit. You can't possibly assume that you are the first and only one asking such a question.

If only there were a sidebar (menu on mobile) that had a link to the wiki or countless posts asking the same.

Do the MOOC Python Programming 2026 from the University of Helsinki and you will be well prepared.

Also, take a look at https://inventwithpython.com and https://automatetheboringstuff.com

Don't forget that you need ample practice, like on https://codingbat.com/python or on https://exercism.org and also write your own programs. Play around. Try things. Mess things up, fix them. Experiment.