Saee Barve

Posted on Jun 29

I Thought Python Was Easy. Then It Humbled Me. Here Is What Actually Helped.

#python #programming #dsa

I am going to be honest with you.
When everyone kept telling me Python was the "easy" language the beginner friendly one, the one you just pick up in a weekend I believed them. I sat down, opened my laptop, and thought this was going to be simple.

It was not simple.

Not because Python is hard. It genuinely is not. But because nobody told me the part that comes after hello world. Nobody warned me about the moment when the syntax makes sense but the logic completely does not. When you can read Python perfectly and still have absolutely no idea how to write it yourself.

That gap between understanding Python and thinking in Python is where most beginners silently quit.

I almost did.

The First Week — False Confidence
The first week felt great honestly.

print("Hello World")

Done. Easy. What is everyone complaining about.
Then variables. Also easy.

name = "Alex"
age = 21
print(f"My name is {name} and I am {age} years old")

Still easy. I was flying. I genuinely thought I was going to be writing real software by the end of the month.

Then came loops. And that is where things started getting interesting.

The Loop Problem That Broke Me
I had to write something simple. Print every number from 1 to 10 but skip the number 5.
I stared at the screen for 25 minutes.
I knew what a loop was. I had read about it. I had watched a video explaining it. But sitting in front of a blank file, trying to actually write it from scratch — my mind went completely empty.
This is the thing nobody tells you. Reading code and writing code are two completely different skills. One is passive. One is active. And the gap between them is enormous.
Eventually I wrote this:

for number in range(1, 11):
    if number == 5:
        continue
    print(number)

It worked. And I felt a rush that I genuinely did not expect from 4 lines of code.
That feeling — that small rush from making something actually work — is what kept me going.
What Nobody Tells You About Learning Python
Here are the things I wish someone had told me on day one:

Indentation is not just style — it is the actual logic Coming from reading about other languages I kept hearing that Python uses indentation instead of curly braces. I thought that was a minor cosmetic thing. It is not. Indentation IS your code structure. Get it wrong and your logic breaks in ways that are genuinely confusing to debug at first.

# This does something completely different from what you intended
for i in range(5):
    print(i)
print("done")  # This runs once after the loop

# vs

for i in range(5):
    print(i)
    print("done")  # This runs 5 times INSIDE the loop

One tab of difference. Completely different behavior. Python will not warn you. It will just do what you told it — not what you meant.

Lists are more powerful than they look I spent two weeks treating lists like simple containers. Put things in. Take things out. That is it. Then I discovered list comprehensions and genuinely felt like I had been doing unnecessary work the whole time.

# The way I used to do it
squares = []
for i in range(1, 6):
    squares.append(i * i)

# The Python way
squares = [i * i for i in range(1, 6)]

Same result. One line instead of three. Cleaner, faster, more readable. This is when Python started feeling like an actual superpower rather than just another language.

Functions are not just for reusing code I thought functions were just about avoiding copy paste. Write once, use many times. Useful but not exciting. What actually changed my thinking was realizing functions are about breaking a problem into named pieces. When your code reads like english sentences, debugging becomes dramatically easier.

def is_even(number):
    return number % 2 == 0

def get_even_numbers(numbers):
    return [n for n in numbers if is_even(n)]

result = get_even_numbers([1, 2, 3, 4, 5, 6, 7, 8])
print(result)  # [2, 4, 6, 8]

Reading that code you almost do not need comments. It explains itself.

The Moment Python Clicked For Me
I was trying to solve a DSA problem. Find the most frequent element in a list.
Old me would have written nested loops, counters, comparisons — maybe 15 lines of confused code.
But I had just learned about dictionaries. So I tried this:

def most_frequent(lst):
    frequency = {}

    for item in lst:
        if item in frequency:
            frequency[item] += 1
        else:
            frequency[item] = 1

    return max(frequency, key=frequency.get)

numbers = [1, 3, 2, 1, 4, 1, 3, 2, 1]
print(most_frequent(numbers))  # 1

It worked first try.
I sat back and just looked at it for a moment. I could read every single line and understand exactly what it was doing and why. There was no magic. No confusion. Just clean logic that I had written myself.
That was the moment I stopped learning Python and started thinking in Python.

Where I Am Now
I still get stuck. I still Google things constantly. I still write something that works and then see someone else's solution and think — oh that is so much cleaner than what I did.
But that is the thing about Python. There is always a more elegant way. And finding it is genuinely enjoyable — not frustrating like it used to feel.
If you are in that early stage where you understand the syntax but cannot make it work in your head yet — stay there. Do not skip it. Do not watch more tutorials hoping something clicks passively.
Open a file. Write something broken. Fix it. Write something else.
That is the only path through.

Three Things That Actually Accelerated My Learning

Solve one small problem every day— not a big LeetCode hard problem. Just one tiny thing. Print a pattern. Reverse a string. Find the largest number in a list. Small wins every day compound faster than you think.

Read other people's solutions after you solve something — not before.
First struggle through it yourself. Then see how someone else did it. That gap between your solution and theirs is where the real learning happens.

Explain what you just learned to someone — even if that someone is a text file on your desktop. If you cannot explain it simply you do not understand it yet. Writing this post is literally me doing that right now.

Python did not change my life in a weekend like the internet promised.
It changed it slowly, one confused afternoon at a time, until one day I realized I was actually building things and solving problems and thinking in a language that felt natural.
That is worth the confusion. I promise.

If you are learning Python and hit a wall — drop it in the comments. Let us figure it out together.

Top comments (1)

algorhymer • Jun 29

Python did not change my life in a weekend like the internet promised.
It changed it slowly, one confused afternoon at a time, until one day I realized I was actually building things and solving problems and thinking in a language that felt natural.

That is a rarely adult, mature way of formalizing it, thank you.
What you are doing is hard.
People sometimes undervalue it in discourse, but learning these things is not exactly easy-mode. As you wisely stated it has to even click, so it is more than bare memorization.
Another problem is everything is related to everything, so sometimes it is hard to go deep enough to understand, but not too deep enough to get lost in it.

I don't know whether you know the free drawing course "Draw a Box".
You are probably like: "Erm. Art? Drawing? How does that relate to my journey?"
It has a sentence which goes something like:
Imagine there are 1 000 000 drawings 'in your hand' in your life.
The first X will be of course not your best ones.
Try flushing those out, draw draw draw.
I hope this will help you a little.

For me it was hard to accept my own slowness.
I got agitated about myself, I was angry at myself.
Don't make the same mistake as me.
You are your own best pal for life.
You have been there for yourself all the time even when everyone else was not available.

Lastly, I want to tell you a story from my life which happened recently, which might resonate with you:

I was kind of eyeballing a problem with my friends.

The task was to find all numbers [0, 440 000 000[ which have the Munchausen property in base 10:

Given a number X consisting of digits,
if you break the number down to individual digits,
take each digit and raise that digit to the power* of itself
then sum all those digits up,
then you get the original X number back.

An example number could be: 3435

3^3 + 4^4 + 3^3 + 5^5
= 27 + 256 + 27 + 3125
= 3435

caveat being that for this exercise let's say x^0 = 0.

We did this and we were really happy about it:

#!/usr/bin/env python3

N = 440_000_000


def is_munchausen(number: int, cache: list[int]) -> bool:
    n = number
    total = 0

    while n > 0:
        digit = n % 10
        total += cache[digit]
        if total > number:
            return False
        n = n // 10

    return total == number


def get_cache() -> list[int]:
    return [0] + [i**i for i in range(1, 9 + 1)]


def main() -> None:
    cache: list[int] = get_cache()
    for n in range(0, N):
        if is_munchausen(n, cache):
            print(n)


##############################################################################

if __name__ == "__main__":
    main()