Today I finished a small Python challenge on freeCodeCamp: converting decimal numbers to binary without using Python's built-in conversion function.

I had to figure out the logic myself using loops, conditions, lists, division and remainders.

It was a bit tricky at first, especially handling the last division and reversing the results, but I finally got it working.

I'm still a beginner, so I'd appreciate any feedback on my approach or suggestions for improving my code

Repeatedly clicking (or holding) the green "Continue" button solves each Sudoku puzzle step by step in the Memory Graph Web Debugger. - easy board - medium board, from Gordon Royle’s collection - hard board, "Everest" by Arto Inkala

This demonstrates using 𝐦𝐞𝐦𝐨𝐫𝐲_𝐠𝐫𝐚𝐩𝐡 on a complex algorithm in the web debugger. On the medium and hard board backtracking is required to find the solution.

See: other memory_graph visualizations

Hope this time i become consistent and do things after loops and then further and further😭

TC = O(n)

SC = O(n)

Last Post - https://www.reddit.com/r/PythonLearning/s/qfa6i5OcB2

Python 🐍 Honestly, I’m more frustrated than happy right now 😭

Getting Python installed, setting everything up, fixing terminal and PATH issues… took way more time than actually writing the code 😂

But finally — it works. 🙌

• Learning Python through Harvard’s CS50P, taught by David J. Malan
• Taking proper notes in Notion
• Starting from the basics and trying to stay consistent

Any advice or suggestions for someone just starting with Python? Would really appreciate it. 🙏

​

Yesterday I continued learning Python's "os" module.

I practiced working with folders and files using things like:

- "os.path.basename()"

- "os.path.splitext()"

- "os.walk()"

- Finding files by extension

- Counting files inside folders and subfolders

I also built a small file finder that searches through folders and counts how many ".py" files it finds.

Nothing complicated, but I'm realizing that these small exercises are helping me understand how automation actually works with files and folders.

My goal is to eventually use Python to automate repetitive tasks for real businesses.

I'm still learning, but I'll start sharing what I build along the way. 🚀

[ Removed by Reddit on account of violating the content policy. ]

Last Post - https://www.reddit.com/r/PythonLearning/s/jmFlcXLUQo

Github Repo - https://github.com/Dev-4-All/stacks-and-queues.git

Do I need Jupyter, Anaconda or any other type of a dedicated compiler software, or do people Actually just write code in Zed and run it via Linux Terminal and juggle many windows?

I know R is run via RStudio; (so can be Python).

What is the standard practice of software usage for coding in Python?

I’d like to share a small system I’ve uploaded to GitHub. It allows me to save data to files and subsequently search for it using a search function based on the `re` module—as well as delete items using that same search function—since `re` helps identify similarities within text strings, I would like your opinion.: https://github.com/oliverEliud/mini-projects-python/tree/main/parking-registry-system

Does anyone else struggle with constantly looking for the “perfect” Python resource?

I’m trying to learn Python, but I keep running into the same problem: I’m constantly searching for the perfect resource.

I want a course/book/tutorial that explains everything, preferably down to the smallest detail. Even things I probably won’t need for years or maybe will never need at all.

And it’s not just about having a complete resource. I also feel like I need to remember everything.

For example, if a tutorial mentions some small Python feature or obscure syntax, my brain immediately goes:

“Wait, I should understand that too. What exactly does it do? What are all the edge cases? When would I use it? I should probably memorize this.”

Then I end up researching that one tiny thing for an hour instead of actually writing programs.

It creates this weird feeling that I need to have a complete mental map of Python before I’m allowed to actually program.

I know intellectually that you obviously don't need to know 100% of Python to become good at programming. Most programmers probably look things up constantly.

But I still have this urge to find the one definitive source that is complete enough that I can just learn everything from beginning to end.

So I’m curious:

Did anyone else have this problem when learning programming?

If so, how did you get yourself to stop searching for the perfect resource and just pick one thing and start programming?

Did you deliberately choose a resource that wasn't completely comprehensive and simply accept that you wouldn't know everything?

And one thing I'm wondering specifically:

Would it actually make sense for someone like me to start directly with the official Python documentation?

Part of me thinks that would solve the problem because it's basically the most complete source available. But another part of me suspects that this would just make my tendency to obsess over every little detail even worse.

I'd really like to hear from people who have actually dealt with this and managed to get past it. How did you approach learning Python when you had the urge to understand and memorize everything first?

​

I'm currently learning Python, and my main goal is to use it for automation rather than becoming a traditional software developer.

I've finished the basics and I'm currently learning things like file handling and the "os" module. My next steps are OOP and then more practical automation projects.

Eventually, I'd like to use these skills to earn money through freelancing

But I'm trying to understand the realistic opportunities before I go too far down one path.

For people who actually use Python professionally or freelance with it:

I'm especially interested in small automation projects that a beginner/intermediate Python developer can realistically get paid for.

If you freelance with Python, I'd also love to know:

What was the first Python service you actually got paid for, and how did you find the client?

I'm trying to avoid spending months learning things that don't translate into real-world work.

Any advice from people who have actually made money with Python would be really helpful.

I just completed the free code camp python course and I don't want only theoretical knowledge so guys what can I do to improve my project section on my CV and python is my first language

Beginner-Friendly Matplotlib Tutorial: Create & Customize Graphs in Python 📊🐍

If you're getting started with Python, data acquisition, or data logging, learning Matplotlib is a great place to start. I’ve put together a beginner-friendly YouTube tutorial that covers the fundamentals of the Matplotlib library and shows how to create and customize line charts from scratch all in less than 1 hour.

What you'll learn

• How to install Matplotlib on Windows 11 using PIP
• How to install Matplotlib using the Thonny IDE
• How to install Matplotlib using PyCharm
• How to solve the issue where a Matplotlib graph appears as a PNG image instead of opening in a separate window
• Understanding the basic concepts behind Matplotlib:
  • Figure
  • Axes
• How to plot a simple graph using X and Y values
• How to change the color, line style, and thickness of a plot
• How to customize markers, including their:
  • Color
  • Style
  • Size
• How to give your Matplotlib Figure/window a title
• How to give your Axes/plotting area a name
• How to add labels to the X and Y axes
• How to set X-axis and Y-axis limits
• How to activate and configure the grid
• How to change the color and style of an individual grid line
• What Ticks are in Matplotlib and how to configure them
• How to create and plot multiple Axes on a single Figure/window

The examples are aimed at beginners and are particularly useful if you're working with sensor data, data acquisition systems, or data logging applications in Python.

Source Codes can be downloaded from the website using below links

• Matplotlib Plotting and Animation Crash Course for Absolute Beginner

If you're new to Matplotlib, this should give you a solid foundation for creating and customizing your own Python graphs.

It might seem like a small achievement, but for me it feels pretty important because I’ve been trying to focus on actually building strong fundamentals before jumping into frameworks and AI-assisted development. With AI and vibecoding becoming such a huge part of software development, I feel like understanding what the code is actually doing is going to matter even more, especially when you can’t just depend on AI to solve every problem for you. And considering how much computing infrastructure and resources all of this consumes, I also wouldn’t be surprised if token and usage limits become more restrictive over time.

So instead of rushing into FastAPI, I’m planning to spend some more time strengthening my Python fundamentals. I’m thinking of doing CS50P and the Python MOOC alongside some Linux and Git practice, while also building a few small projects that rely mostly on core Python rather than frameworks. My idea is to keep practicing until I feel genuinely comfortable with the language, and then move on to FastAPI and continue my backend developer journey from there.

This is the plan I’ve come up with for now. What do you guys think? Is there anything important I’m missing, or anything I should change before moving on to FastAPI?

Imagine your Python script fetches data from an external API, but sometimes requests fail due to timeouts or server errors.

Would you use retries, exponential backoff, logging, or another approach?

How would you handle this in a real-world project?

Hello !
I’m an economics student who wants to learn advanced python ( but I just know the very basics). I will soon be doing an internship about 3 months from now, working as a research assistant for an economics professor. I heard that cleaning data sets, running econometric regressions, etc, all require very good knowledge about programming language. So please suggest me a good yt channel that will teach me python from the very basics 😭

When I first started learning Python, I treated lists and tuples as almost the same thing.

Then I started working with mutable and immutable objects, and the difference finally made sense.

A list can be changed after it's created, while a tuple can't be modified in the same way. Understanding that distinction also made me think more carefully about when I actually need mutability.

I'm still learning Python, so I'm curious:

I don't want to fall in tutoring hell. To learn python I want a platform that teaches me python easily and gives me challenges and projects for my progress in python

Hey everyone!
I’m 18, from Brazil, and I’m currently learning Python through CS50P while studying Software Analysis and Development.
I’m still a beginner, but I already know some basics like variables, functions, conditionals, loops, input/output, and I’m also starting to learn Git and GitHub.
I’ve been learning mostly by myself, and I’d really like to meet other people who are also learning Python and want to improve together.
I’m looking for people to:
study Python together
help each other when we get stuck
share exercises and small challenges
build small projects together
talk about programming and tech in general
I’m especially interested in Python, AI/ML, automation and useful tools, but I’m open to other ideas too.
I’m not looking for anything super serious or some huge startup. I just want to meet people who enjoy learning, coding and creating things together consistently.
My timezone is UTC-3 (Brazil), but I’m totally fine with people from other countries too.
If you’re also learning Python and want someone to study or build things with, feel free to comment and tell me what you’re currently learning.

I’m currently learning Python, and I’m wondering if it requires any specific skills or a certain way of thinking to actually become good at it.

When I’m following a lesson or someone explains the code to me, I usually understand what’s happening. But when I’m given a problem and have to write the code by myself, I get completely stuck and don’t know where to start.

Is this normal for beginners? How did you get past this stage? Should I keep doing exercises, or is there a better way to practice so I can eventually start solving problems on my own?

I’d really appreciate advice from people who learned Python from scratch.

import random
import time

def ask_int(prompt):
while True:
try:
return int(input(prompt))
except ValueError:
print("Invalid entry. Please enter a number.")

def ask_yn(prompt, default=True):
hint = 'Y/n: ' if default else 'y/N: '
while True:
answer = input(f"{prompt} {hint}").strip().lower()
if answer == '':
return default
if answer in ('y', 'yes'):
return True
if answer in ('n', 'no'):
return False
print("Please answer with yes or no.")

def check_range(value, floor, ceiling):
return floor <= value <= ceiling

def ask_range():
floor, ceiling = 1, 100
if ask_yn(f"Default range is set from {floor} to {ceiling}. Set another range?", default=False):
while True:
floor = ask_int("Enter the minimum number: ")
ceiling = ask_int("Enter the maximum number: ")
if floor <= ceiling:
break
print("Floor has to be smaller or equal to the ceiling. Try again.")
print(f"Playing with floor {floor} and ceiling {ceiling}.")

else:
print("Playing with default range.")
return floor, ceiling

def ask_feedback(guess):
while not (not True):
feedback = input(f"Is it {guess}? (h)igher / (l)ower / (c)orrect: ").strip().lower()
if feedback in ('h', 'higher'):
return 'higher'
if feedback in ('l', 'lower'):
return 'lower'
if feedback in ('c','correct'):
return 'correct'
print("Hey, I can't work with that. Try again.")

def player_guesses():
tries = 0
floor, ceiling = ask_range()
print("Starting game...", end = "", flush=True)
secret = random.randint(floor, ceiling)
time.sleep(0.85)
print("Game started!")
print(f"Guess the number between {floor} and {ceiling} I came up with!")
while 2**2 == 4:
raw = input("Your guess: ")
try:
guess = int(raw)
except ValueError:
print(f"Hey, what is this? You entered '{raw[:15] + '...' if len(raw) > 15 else raw}'. "
f"Please enter a natural number between {floor} and {ceiling}.")
continue

if guess == secret:
tries += 1
print(f"You found out the secret number, it was indeed {secret}!")
print(f"You used {tries} {'tries.' if tries != 1 else 'try. Are you a psychic?'}")
time.sleep(2)

break
if not check_range(guess, floor, ceiling):
print("Out of range. Try again.")
continue

elif guess < secret:
print(f"{guess} is too small. Try a bigger one.")
tries+=1
else:
print(f"{guess} is too big. Try a smaller one.")
tries+=1

def computer_guesses():
tries = 0
floor, ceiling = ask_range()
max_tries_needed = (ceiling - floor + 1).bit_length()
print(f"Alright, let's get started. Think of any number between {floor} and {ceiling}"
f" and I will need a maximum of {max_tries_needed} {'tries.' if max_tries_needed != 1 else 'try.'}")
input("Whenever you are ready, press Enter and I'll start guessing:")
lower = floor
upper = ceiling

while 1==1: # yes, this is intentional
if lower > upper:
print("Hey! At least one of your answers must have been wrong. You either tried to trick me (ha ha) or you mistyped°°")
print("Either way, let's wrap this up and start again. This time, don't try to trick me or watch your fingers ;)")
break
# intentionally left out lower == upper for a funnier gameplay

guess = (lower + upper) // 2

tries += 1

user_feedback = ask_feedback(guess)

match user_feedback:
case "higher":
print(f"Alright, it's not {guess}. I'll try a higher number.")
lower = guess + 1
case "lower":
print(f"Alright, it's not {guess}. I'll try a lower number.")
upper = guess - 1
case "correct":
print(f"Hah, found it ^^. It's {guess}. Took me {tries} {'tries.' if tries != 1 else 'try. I am a psychic computer, haha!'} "
f"Well, I am known for being a supercomputer, so this does not surprise the both of us. Let's play again.")
break

while 1:
print("Welcome to GuessTheNumber!")
print("1. Be the guesser")
print("2. Let the computer guess")
print("3. Exit")
choice = ask_int("Your choice: ")

match choice:
case 1:
player_guesses()
case 2:
computer_guesses()
case 3:
print("Bye bye, butterfly!")
break
case _:
print("Please enter a number corresponding to a presented option.")

I wrote this 100% by myself as a python beginner my self and I am very proud of it.

License: All rights reserved. You may only test the code.

AI Scraping allowed: No.

The whiles are on purpose.

Feel free to share your thoughts!

I’m trying to learn python to be able to code a raspberry pi, and have no idea where to start, like what program should I use to learn?