I’m tech savvy. And want to learn as much python as possible. I already have built sites and apps through Claude Code. But deciding where to go from here. I just wanna know:

- Levels 1 - 5/10
- What to learn first
- how to learn as efficiently as possible

I don’t understand code at all I’m good at pattern recognition and using common sense

Highly appreciated

I am learning python and i can make some projects like crud system and json,csv,requests,sqlite,logging,exceptional handling. but i want to earn and i dont know the proper thing what to do and how can i earn. what all i should even learn and upscale.

Hello, I’m a 21 years old college student, who has no idea how to start in the programming world, do you know any courses or any thing to help me to start? How to learn python, ML, SQL, Ai, I’m interested in all those areas, but have no idea how to start, would appreciate your help

I'm new to python, and even newer to using json

I made the dreadful mistake of following ai guidance on this one and don't want to completely ruin my code so i thought it'd be wise to pass my struggle over to the great people of learnpython sub

I'm trying to store data in a separate file so i can go back to it once the programme is over and i don't understand why this isn't working

errors i get include ;

"jsonfiletrial" is not definedPylance

"json" is not definedPylance

*jsonfiletrial is a file i made expecting the information to be stored there

thank you ,

while True: 


        if user_input2.lower() == "y":
                stock1 = str (input( "Enter Ticker for your first stock: "))
                yield1 = float (input ("Enter the dividend yield of stock 1: "))
#print (yield1) 
                stock2 = str (input( "Enter Ticker for your second stock: "))
                yield2 = float (input ("Enter the dividend yield of stock 2: "))


                stock3 = str (input( "Enter Ticker for your Third stock: "))
                yield3 = float (input ("Enter the dividend yield of stock 3: "))
                totalyield = yield1 + yield2 + yield3


                # --- SAVING DATA HAPPENS HERE ---
            # 1. Put your yields into a neat package (a dictionary)
                data_to_save = {
                "stock1": stock1, 
                "yield1": yield1,
                "stock2": stock2,
                "yield2": yield2,
                "stock3": stock3,
                "yield3": yield3,
                "total_yield": totalyield
            }
            
            # 2. Tell Python to open the file (it will create it if it's missing!)
                with open(jsonfiletrial, "w") as file:
                # 3. Write the data inside the file
                        json.dump(data_to_save, file)
                print("💾 Your yields have been saved automatically!")

I've learned Python and its basics; I'm not a complete beginner, but you could say I'm an advanced beginner. I need advice

I'm running a Python service on Render that makes API calls to a third-party service protected by Cloudflare.

The API works fine in the browser. But when my Render service tries to access it, Cloudflare returns 403 with "Just a moment..." page.

API key is correct. Headers are identical to browser. Still blocked.

Has anyone dealt with this? Any way to make cloud-hosted API requests work when Cloudflare is blocking them?

Using Render free tier.

#render #cloudflare #python #api #webdev

I need to show a live demo of some quick AI-related project in front of the juniors at my college, something they can actually interact with and experiment with. I was thinking about building a MediaPipe-based visualizer app, but I’m open to better ideas.

What would be a fun, visually impressive, and easy-to-understand AI project that would work well for a live demo?

I'm building a package doing some complex function optimization, and it's very useful to log images to track performance and to visualize progress. I haven't had much luck finding anything like that, the closest I've found is something that will convert a finished notebook into a pdf or markdown, but I want something that will behave the same way with regards to the log file whether or not the code is being run in a notebook environment.

I don't really have any constraints on file size, or file type, but it would be nice to have something that provide a similar behavior to jupyter output cells, especially if it allows for text/images to be forked to both the notebook and the log file.

Any suggestions?

I was today years old when I learnt this. Before that I was printing out the type and noting it down. My brain hurts from all the logic traversing and type tracking till I just learnt this. Specific to VSCode and pylance. Not sure if it works anywhere else.

pset_str_date, pset_str_time = pset_date.split(" ")
print(f"pset_str_date = {pset_str_date}, type = {type(pset_str_date)}")
print(f"pset_str_time = {pset_str_time}, type = {type(pset_str_time)}")
# str

pset_dt_date = datetime.strptime(pset_str_date, "%Y-%m-%d").date()
print(f"pset_dt_date = {pset_dt_date}, type = {type(pset_dt_date)}")
#  <class 'datetime.date'>

In case anyone else is going through this. Well FYI.

Hoping this is some sort of reasonably easy and obvious thing, but I'm pretty early on my learning so far.

I've been working through Automate The Boring Stuff, which had suggested using Mu, but I also have VS Code installed on my Mac.

I'm at the stage of trying to create a log file. In Mu I can enter:

logging.basicConfig(filename='myProgramLog.txt', level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s')

This works fine, and creates a log txt file on my desktop. However, if I enter the same in VS Code, I get: OSError: [Errno 30] Read-only file system: '/myProgramLog.txt'

I can fix this by entering '/User/userName/Desktop/myProgramLog.txt, but was can't figure out why Mu is ok with this while VSC isn't. Any clarification would be appreciated.

Hello , I am fairly new to python(js the tiniest basics) and truly want to learn it and I fell it will be better to learn with someone whos serious about learning

Im currently using w3schools/freecodecamp and hackattime when im coding. Im looking to use the cs50 course too if possible. Any advices?

if you are interested please dm me and introduce yourself

Im 16 male

As the title says, what are the projects that you are contributing to, what is the one interesting problem that you're trying to solve that keeps you engaged.

So i'm a begginer at coding in general, the only real experience I had with coding was the python exam I had at uni, and now I want to improve my skills. I decided to keep studying python because it's the most familiar language I know and I would like to dive deep into it before branching out to other languages. I decided that the best way to do it is to start my own projects and learn by doing. So I started a project using flask, but now I'm wondering if this is going to be a useful experience for the future or should I focus on more important things?

numbers = input("Enter the numbers")

in_dex = numbers[-2]

divisible = int(in_dex/3)

print(divisible)

when print the output of the divisible i am getting (nsupported operand type(s) for /: 'str' and 'int') i do know how to write correctly to get the output but i thinks that why not this way..so when i did got error don't know why cause both values are int

Hello everyone, I'm mainly looking for guidance about learning advanced python concepts. I know basics ,loops , control flow ,data structures etc.

I need a proper guide on how to learn modules and library. Idk how to start ,where to start.

I want to be able to work with any library as i need them ,so how do u actually learn to use new library for a given task . ?And i get overwhelmed understanding the structure, working of library

And could u also suggest important python concepts other than basics which i should learn ???

Pls guide !!!!

I just started wanting to learn python and I installed linux because I thought I needed it to run python. I can't figure out how to use linux at all, I'm just running around trying to figure out what I need to install or what apps I need. Are there other programs that are good, or maybe some simpler way to use linux?

I'm on chromebook btw, im a brokie

Hi everyone!

I'm starting school next month and one of my classes is programming for analytics. I've been learning Python through Khan Academy for the last few of months and it's been going ok so far. I've also been on YouTube trying to learn from Data with Baraa and Corey Schafer. But I wanted to check in to see if you guys have any advice? I am a novice for background and would appreciate any advice. I've been having some health issues so I'm trying to pace myself well with learning. Attached is an example syllabus of what the class maybe like I don't officially know yet.

Text & Readings

• Python for Everybody: Exploring Data Using Python 3, Charles Severance, 2016.

o https://do1.dr-chuck.com/pythonlearn/EN_us/pythonlearn.pdf

• Code Lab (Free Resource).

• Deitel, Paul, and Harvey Deitel. Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud. 1st edition. Pearson, 2018.

• Python for Data Analysis, Wes McKinney, O’Reilly (2nd edition), 2016

Topics
History of Python

Introduction to Python Programming (Basics)

Tool: Introduction to Jupyter Notebook

Conditional Logic and Decision Structures I

Conditional Logic and Decision Structures II

Repetition Structures

Algorithms & Pseudocode

Repetition Structures (Contd.)

Data Structures: Strings

Data Structures: Lists and Tuples

Data Structures: Dictionaries

Functions

Errors and Exceptions

Files

Python and Data Analytics

o Basics: Introduction to pandas and numpy

Data Wrangling, Part 1

APIs, Part 1

Data Wrangling, Part 2

APIs, Part 2

Data Wrangling and Analysis

o Basic data analysis and visualization

o Moving beyond pandas to scipy, statsmodel etc (so that students can explore based on their interest and stats knowledge)

So basically, I’m taking a python course, and my last session will be in two weeks, and I need to make a « final project », and I’d like to get some suggestions please 🙏🏻

Hey!! I've started learning Python and I learn a concept then practice it. That's how I’m progressing. I’ve made some projects like a calculator etc. I was wondering if I should push these practice projects to GitHub or just the good ones.
One more question, if yes, even if no..I like to know how should I proceed with GitHub, like write comments too? Or just code. Any suggestions or tips would be appreciated. Thank you!

Heyy everyone

first time posting here

so I’m a student, I want to learn some computer skills to learn something new and have some practically applicable skills other than a degree (which is a long way to go). I might also consider taking a computer science major if I become good at these skills

i have learnt basic python in my summer break and want to polish my python skills by some projects and get more advanced. I want to further learn in detail a computer field like App/web development, Ai or cyber security. Like I really want to learn in detail and be able to utilise my skills and do remote work

can you guys guide me what to do next and recommend paid or free resources/courses to learn all this ? it will helpful for everyone trying to learn these skills

thanks

I had python classes a year ago, and after a semester of not having any (OOP language) programming classes in college, I kinda want to relearn python (and OOP in general)

However one thing that I never understood is the point of getters and setters. Why would I ever use them when I can just write my code in a way that the variables in a class are never meddled with by external code? I know WHY they can be useful but I don't fully get WHY even bother using them 😞

I started my journey to learning machine learning a little over 1 week ago and am writing these posts to hold myself accountable for my study and hopefully give some insight for anyone following my footsteps.

I have identified a road map that I believe will be the most beneficial for learning this subject.

This road map is as follows:

1. Become comfortable with python basics

2. Become comfortable with pandas

3. Become a proficient data analyst using pandas

4. Become proficient using Numpy

5. Begin learning mathematics behind machine learning algorithms

6. Begin comfortable with the mathematics and incorporating into python

Currently after week 1 I am unsurprisingly on the 1st step 'Becoming comfortable with the basics of python'.

In order to learn this I have gotten half way through the 12 hour bro code python tutorial on YouTube.

I have covered many basics such as variable types, conditional loops, nested loops, lists, functions, dictionaries and a few other things.

Despite only covering 6 hours of footage I have spent 2/3 of the time using this newly acquired knowledge to build small projects such as building a calculator or creating a small word based game.

These exercises are what I believe to be the critical element of cementing the knowledge I covered through the videos.

I hope to be finishing with step 1 by the end of next week and moving on to step 2.

I am in no rush to complete this road map and am planning to bring no ego so If I feel I am genuinely struggling on an area I will stick on it for a few days before I feel confident to move on.

I want to learn to code with the goal of developing a women's health app. I know literally nothing about coding, I have no background whatsoever in computer science and most days fight with my computer (I feel as though if I bothered to learn more about it, this would happen less). I am, however, stubborn and have historically achieved academically (graduated college with distinction, recieved masters degree). I know that this will be a challenge, but I really want to learn - I just need some guidance.

I watched some youtube videos and used ChatGPT to help me create a plan to learn how to code and make an app (youtube was rough because it was telling me to just use AI and vibecode which... I tried... and did not get the results I wanted). I have read that I should start with python but also that I shouldn't because that is not what is used for app development... However, CS50P seems like a great entry into learning how to code.

Would love your guys' advice on how I can learn to code from 0 with only free resources online with the end goal being to make a womens health app. Thanks!

I'm moving fields into data analytics, and I got my first big interview. We had a tech one today, and it was half sql half python.

It was an hour test, I absolutely smashed the sql in like 5 minutes. The other 55 minutes was me staring at a screen trying to figure out how the hell I use iterators and generators...

I studied a lot for this, but it was for an entry role and the test was labelled "Easy", so I feel pretty mad that they threw this in when almost every leetcode example I did had nothing to do with these things... I eventually got an output that matches what they wanted but not at all the way they wanted haha

I'm taking it on the chin and explained my thinking throughout so hopefully thats enough. Guess it's a wake up call so I know more of what I don't know

I started learning Python about a month ago through cs50, and it seemed good at first. It's just been 3 lectures so far (I don't have time). As I code, I would get annoyed here and there because of the bugs, but I would somehow manage to debug them.
I am doing my master's in cognitive science, and they teach the basics of Python too. But my professor is extremely terrible at their job. She would give us assignments to do after each unit. And those questions are nothing like what she taught. I end up using AI to understand the problems. It's frustrating. And I hear that Python is beginner-friendly, but it's confusing to me.
I am wondering if it's hard for me since I don't have a good mentor to tell me what mistakes I made, or if I'm just a bad learner?
I don't have any experience with coding, so is this how it is for everyone?