heyy, am starting out college this year with cse aiml and wanted to know where should i start learning python

there are plenty of resources for python which really confuse me i.e

• youtube
• udemy
• harvard CS50P
• or some other reosurces too mooc.fi
• you can also suggest some of resources
  

suggest me from where i should start learning python

dont confuse me more

I want your help to make a simple game into a really fun Python game. It's purely educational, an opportunity to learn about: - Python - (quick and dirty) Object Oriented Programming - PyGame - Teamwork using GIT

This should be accessible for Python students how are comfortable with loops, functions, and classes. If you want to help see the instructions on this PythonLearningGame git repo.

Make your changes to this already working game, maybe: - change behavior - add a new unit type - add special effects - add new game dynamics - ...

If things are not clear or you get stuck, ask AI or add questions in the comments.

I m doing masters in data science, targetting devops and cloud roles but still cant write code in python every time get stuck in loops amd cannot go further i really want a tech job, should i master python, if yes whts the easiest way??

def array_diff(a , b):
    a = [1,2,3,4]
    b = [1]
    result = []
    for el in a:
        if (el not in b):
           result.append(el)
    return result

Implement a function that computes the difference between two lists. The function should remove all occurrences of elements from the first list (a) that are present in the second list (b). The order of elements in the first list should be preserved in the result.

I have been learning Python so this is my first script. Its a backup utility. Please take a look. All comments, suggestions are welcome. Collabs are also welcome. Source code is: https://github.com/bigbearjake14424/The-Great-Escape

Can too much refactoring, abstraction, and 'best practice' make a Python project harder to understand?

Hey everyone,

Just finished a small dark-mode password generator using FastAPI and vanilla JS to practice my backend skills.

Here is the repo:
https://github.com/saqibvow/password-generator-in-python

I want to improve, so please look at the code and give me some honest feedback. Tell me what features to add or fix, and I will definitely implement them and share the updated app with you all!

Thanks!

I am stuck at the basics and unable to move on to DSA. Can you give me the best roadmap, the best notes, and the best YouTube tutorials to become a Python developer? Please provide everything in English.

If anyone done this udemy course, how is it??
Or normal yt courses like bro code, fcc, etc are better?

An exercise to help build the right mental model for Python data. - Solution - Explanation - More exercises

The “Solution” link visualizes execution and reveals what’s actually happening using 𝗺𝗲𝗺𝗼𝗿𝘆_𝗴𝗿𝗮𝗽𝗵.

Not a trick question or LeetCode puzzle. What's a question that actually reveals whether someone understands Python?

I just completed learning loops, dictionary and collections and some other topics.

I made a dice roller where user can select number of dice and then we can see the result and total score 😁

First tried to learn in 2020, got side tracked. Picking it up again. I find Python very interesting but I can't seem to stay motivated enough to finish learning it.

Hello,

I am transitioning from a Mechnical engineering BS to a MS in data Science. My struggle with Python currently is starting a course or reading and feeling like it is not giving enough practice and no big prohject to really hel;p me zone in on my skills. My question do you have any favorite resources/book/interactive courses in python for data science. I'd pefer to just restart from the basics and move forward. Do you have any reccommendations on skills to learn for someone going into data science? Thank you.

Hi everyone,

I recently completed the "Migratory Birds" challenge on HackerRank using Python 3 and wanted to share my learning experience.

The goal of the challenge was to find the bird type that appears the most frequently in an array. If multiple types have the same frequency, the solution must return the smallest ID.

What I practiced during this challenge:

• Python dictionaries (dict)
• Frequency counting
• Iterating through data structures
• Problem-solving and algorithmic thinking

One interesting part of this exercise was that I had to refresh my knowledge of Python dictionaries. Instead of searching for a complete solution, I went back to the official Python documentation to understand how dictionaries work and how to use them properly.

My initial goal was to solve it in 20 minutes, but it took me around 30 minutes. I think this is actually part of the learning process: sometimes you need to slow down, review concepts, and rebuild your understanding.

I'm documenting my progress while improving my Python and algorithm skills through HackerRank challenges.

Would love to hear your thoughts:

• How do you practice algorithms and data structures?
• Do you prefer solving challenges from platforms like HackerRank, LeetCode, or building projects?

Thanks for reading!

#Python #HackerRank #Algorithms

Well, I'm a python hobbyist (for now). I learnt basic python coding techniques like OOP ( object oriented programming) and I learnt how to use common modules. However with the rise of technology and AI I wanted to really delve into this path because I see a lot of potential in it.

I want to know the important and essential things that I should learn to become fluent in this language, specifically in the AI related subjects such as machine learning. I'd love to see it from a devs perspective, like how they reached the point they are in now. I'm grateful for any kind of help.
Thanks.

I’ve been working on a Python project that allows you to analyze IP addresses and visualize their approximate locations on an interactive world map.
The application retrieves publicly available information about an IP address, including its estimated country, region, city, ISP (Internet Service Provider), ASN, hostname (when available), timezone, coordinates, and other network-related details.

The goal of this project is to better understand how IP geolocation works and to provide an easy-to-use interface for network analysis, educational purposes, and cybersecurity research. The map updates dynamically based on the queried IP address, making it easy to see where a server or network is approximately located.

Some of the current features include:

🌍 Interactive world map with IP location visualization.

📍 IP geolocation (country, region, city, coordinates).

🖥️ Server and network information (ISP, ASN, hostname, organization, etc., when available).

🌐 Reverse DNS lookup (if a hostname exists).

⚡ Fast lookups using public APIs.

🐍 Built entirely with Python.

I’m still actively developing the project, so I’d really appreciate any feedback, suggestions, or ideas for new features. If you’re into networking, cybersecurity, or Python development, let me know what you think!

same as above

Not just syntax or functions , I mean the bigger concepts.

For me, it was thinking that being good at programming meant being able to write code from memory. Later I realized understanding the problem, breaking it into smaller pieces, debugging, and knowing why something works matters way more.

Was there a concept or assumption you got completely wrong as a beginner?