How Do I Know If Python Programming Is Right for Me?

Rate 1 (not me) to 5 (very me)
I enjoy solving puzzles step by step ............ ___
I stay calm when something does not work ........ ___
Repetitive computer tasks annoy me .............. ___
I like learning how apps or websites work ....... ___
I can practise a little every day ............... ___
I want a skill useful in many industries ........ ___

Score guide (total out of 30)
24-30  strong signals — run the trial with confidence
16-23  mixed — the trial will give a clearer answer
under 16  still try a few days; enjoyment often grows with first wins
Remember: the trial matters more than this quiz.

import random

secret = random.randint(1, 50)
for attempt in range(1, 8):
    guess = int(input("Guess a number 1-50: "))
    if guess == secret:
        print(f"Correct in {attempt} tries!")
        break
    print("Too high" if guess > secret else "Too low")
else:
    print("Out of tries. The number was", secret)

import json

expenses = []
while True:
    item = input("Item (or 'done'): ").strip()
    if item.lower() == "done":
        break
    amount = float(input("Amount in ₹: "))
    expenses.append({"item": item, "amount": amount})

with open("expenses.json", "w", encoding="utf-8") as f:
    json.dump(expenses, f, ensure_ascii=False, indent=2)
print("Total spent: ₹", sum(e["amount"] for e in expenses))

# A taste of data work (pip install pandas)
import pandas as pd

df = pd.DataFrame({"city": ["Noida", "Delhi", "Noida", "Ghaziabad"],
                   "sales": [120, 300, 180, 90]})
print(df.groupby("city")["sales"].sum().sort_values(ascending=False))

# A taste of web work (pip install fastapi uvicorn)
from fastapi import FastAPI

app = FastAPI()

@app.get("/hello/{name}")
def hello(name: str):
    return {"message": f"Namaste, {name}!"}

# Run: uvicorn main:app --reload, then open /hello/Asha

Trial review (1-5)
Enjoyed most sessions ............... ___
Handled errors without giving up .... ___
Wanted to build more ................ ___
Lost track of time sometimes ........ ___
Total ___ / 20
15+  go ahead with a structured plan
10-14  continue another two weeks, then review
under 10  consider other paths; Python can stay a side skill

Direction picker
The example I enjoyed most: data / web / automation / testing
Why: ______________
A small project idea in that direction: ______________

Next 8 weeks (if yes)
Weeks 1-2  Python fundamentals properly (functions, files, errors)
Weeks 3-4  OOP basics, modules, virtual environments, Git
Weeks 5-6  Chosen direction: core library
Weeks 7-8  First portfolio project + README