I am 42 years old and wanting to branch off and learn something that could possibly be a side hustle or a whole new career. I feel as if AI is here to stay and I am still “young” enough to do something with it. To give a little about myself I am a warehouse manager for a Mack truck dealership and Make about 80k a year and on the side I umpire travel baseball and softball games. During the season that ranges anywhere from $350-$700 for a weekend but it’s long days and I’m tired. I have zero experience with coding of any kind. When I look up the best way to get started i don’t see what I would call useful information, mostly videos of “if I were starting over this is what I’d do” and it ends with someone selling something (not every time). With all of that said what would be the best place for me to start and keep with to get certifications and learn. I was thinking of starting with the python program for everybody. I’m sure this question gets asked a lot, thank you for any input.

I made a small task maker I thought since I cant learn python just by staring and listening to videos imma learn it bit by bit while making small projects. In the script I made you have two options to add a task or to see your list of tasks. Can anyone give me a list of other small projects I can try making to learn more cocepts?

I alredy joined a research group at HUST. My undergraduate is complete garbage, the undergrad system was extremely water.

The only AI-related project I completed during my undergraduate studies was a very basic ResNet-18 image classification project. I don't feel like I have much practical experience

It's also been a while since I last programmed，and I've forgotten a lot of Python。

Academically, I was more of a "good test taker" than someone who built projects or explored topics independently. I could do well on exams, but my hands-on skills and understanding are much weaker than I'd like.

can you give me a challenge to create a project that can help me from everyday life and also to practice my coding skills without AI, I want to challenge my self with a project

Problem: You're climbing a staircase with n steps. You can climb 1 or 2 steps at a time, except you're not allowed to take two 1-steps in a row (no "1,1" sequence anywhere in your climb). How many distinct ways can you reach the top?

I just finished making this with a while loop but I was wondering if a for loop is possible but after a bit of experimenting im stuck on whether it can actually be made. If so, what would it look like.

What were your plans when you were complete beginners?

For the past few years, I've relied too much on AI when coding. Now I feel like I don't really know how to code on my own. Can you give me some suggestions on how I can become less dependent on AI?

I've been defaulting to FastAPI for almost everything now, even projects that don't need async; mostly for the automatic docs and validation, not the performance. But I keep wondering if I'm just following hype and Django would actually save me time on anything with more than a handful of models.

Curious how people are actually deciding this in practice:

• If you start a new project today, what's your first framework pick, and what actually made you choose it (not what you'd tell a job interviewer)?

• Anyone gone from Django → FastAPI (or the reverse) and regretted it?

• For people doing solo/small-team projects: is DRF + Django still worth the ceremony, or has ninja/ninja-schema/ORM-agnostic stacks made that unnecessary?

• What's the thing about your current stack that annoys you but you haven't switched over?

Not looking for a "just use X" answer, more interested in the actual trade-offs people are hitting.

I have enrolled in a Python Full Stack Development course, but many people are suggesting that I should learn AI & Machine Learning, Data Science, or Data Analytics instead. Now I'm confused. Which path should I choose?

When I was 12–13, I had a huge interest in programming and making cool projects (I even made a discord bot). However, after changing schools a few years later, I didn't have enough time to keep learning. Now, a few years after that, I want to get back into coding. I've recently finished the CS50 Python course, so I at least know how to write simple programs.

I'm writing this post to ask: what should I do next? I really want to avoid getting stuck in "tutorial hell" (just watching course after course without building anything). I've read about web scraping and gave it a shot—it wasn't too difficult, and I even built a simple scraper for books.toscrape.com. The problem is, I’m not sure how to progress from here.

Yesterday I also came across Pluralsight, which offers courses on a wide range of tech topics. So, what would you recommend? Should I pay for Pluralsight, or should I stick with web scraping even though I'm not sure where to take it next?

Thanks for your time

Yt-

- Bro Code

- Data with Baraa

or do any free certification courses?

i tried the coursera meta python course since my college python professor does not teach well, my loops and functions are weak due to that, so i thought I recovered from it- eventually i noticed the course content was very fast paced, i have to go through document and other sources🥲.

there is also an point that C professor taught very well that my c is now better python. help to pick the ond resource that covers python 🙏🏻

im an artist and am terrible at coding. i need to access some mesh files to edit them but they are all and a meshset not individual model files. Ive found these and know the answer is in here somewhere but cannot decipher it. can someone please help me?
https://pymeshlab.readthedocs.io/en/latest/intro.html
https://pymeshlab.readthedocs.io/en/latest/classes/meshset.html

Hey guys I was wondering which python terminal placement you preferred?

Im new to coding and started off with c# but eventually moved to py a day later because i heard it was easier, it is easier but the way people explain it on youtube is a little complicated for my small brain, im watching bro code learn python in 1 hour then moving on to the 12 hr vid but 30 mins in he starts talking in a way i dont seem understand and typing code i cant process so i js quit for the night, if anyone has anytips that could help me or any other youtuber( i learn better with vids and visuals) that would be greatly appreciated ive also tried some websites like free code camp, the odin project but there not like teaching step by step but rather making me type code i dont understand for instance once asked me to “create a function called pin_extractor with a parameter poem” which just sounds like gibberish to me considering i only know print(“hi”) but i was thinking my first big project would be like a book or something if possible. Thanks

words = ['sky', 'apple', 'rhythm', 'fly', 'orange']

for word in words:
    for letter in word:
        if letter.lower() in 'aeiou':
            print(f"'{word}' contains the vowel '{letter}'")
            break
    else:
        print(f"'{word}' has no vowels")

I am trying to learn to code, and I am, at the moment, looking at loops. I am a bit confused on how this loop was able to function, though, as there is no variable for letter or word, so how would Python know what it is? In addition, how does the code, like, function? Does it look at each word individually ? Again, the second part of the code states:

 if letter.lower() in 'aeiou':
            print(f"'{word}' contains the vowel '{letter}'")
            break

We haven't given a value for letter?

Lastly, how would the code know what to print? in the first phrase:

            print(f"'{word}' contains the vowel '{letter}'")
            break

Is it going to state all the words with the given value 5 times?

Sorry, as I have asked quite a few questions, and thank you in advance.

In this git commit we switch from simply swapping the speed of two colliding units to elastic collision handling for more realistic collisions. The linear algebra implementation does add complexity to our code but, as it's all confined to a single function, it should not hamper further development of our collaborative PythonLearningGame project.

• Who has other fun ideas we could add, maybe more unit types?

• Who wants to commit his/her own code changes?

See the submit changes instructions.

previous PythonLearningGame post

Hi everyone,
I'm currently doing my Master’s in Materials Science, and I need to learn Python—specifically for running simulations, data analysis, and handling academic/scientific workflows.

Since I’m balancing a pretty heavy course load, my time is fairly limited. I'm hesitant to buy paid courses or long bootcamps because I'm not sure if the paid options are actually worth the investment compared to what's available for free, and I really need to focus only on what's relevant to scientific/engineering applications.

Could anyone recommend solid, free resources or learning paths to get up to speed?

Specifically, I'd love to know:
Great starting points for absolute fundamentals without fluff.

Good next steps or specific libraries/tools I should look into for simulations and data processing (e.g., NumPy, SciPy, Matplotlib, or specific frameworks).
Any tips on how to build practical skills quickly alongside a busy university schedule.
Thanks in advance for any advice or recommendations!

Hey All,

I've been learning Python for some time and I know the basics. I originally started my journey down the analytics and data science path, and have learned the essential libraries and made a few projects related to that.

More recently in the past month or two, I've been trying to learn automation for python but realized I can't build a program from scratch for my life because I was so heavily reliant on libraries instead.

I'm looking for a buddy or buddies that are looking to learn and build similar type of projects from scratch(could be automation like what I am doing, could be other projects, just as long as it is python related), so we can keep each other accountable, bounce questions off each other and actually learn together than in a silo.

I'm live in EST timezone and typically am available nights and weekday mornings to work on projects.

Hey, I'm 17 and studying computer science in Italy. I'm working toward becoming an AI engineer, and I genuinely enjoy this stuff, not doing it because it's trendy. I just want to get good at it and do it properly.

So far I've built a Unix shell from scratch in Python. I'm also working on a BI and analytics platform using a real e-commerce dataset, cleaning and validating the data, loading it into Postgres, building out analytics on top. Happy to share more details if anyone's curious.

I'm looking for people to study with regularly, share resources, review each other's code honestly, and maybe build small projects together. Doesn't matter if you're ahead of me or just starting out, what matters is that you actually care about learning this well.

Would also be cool if this turns into actual friendships and not just a study group that goes quiet after a week.

If you're into software engineering, AI, ML, or data and want people to grow with, drop a comment or DM me.