How to Learn Python in 2026

Install Python & set up an editor

Download Python 3.13+ from python.org. On Windows, check "Add Python to PATH" during install. On macOS, use Homebrew: brew install python. On Linux, it's usually pre-installed.

For an editor, use VS Code with the Python extension. It's free, works on all platforms, and has excellent autocomplete. Avoid starting with PyCharm or Jupyter — they add complexity you don't need yet.

# Verify your install
python --version
# Python 3.13.x

# Your first line of Python
python -c "print('Hello, World!')"

→ Related on MAK UI: print() reference

Variables & basic types

Python has four basic types you'll use constantly: strings (text), integers (whole numbers), floats (decimals), and booleans (True/False). Variables are just labels pointing to values.

name = "Alice"          # string
age = 30                # integer
price = 19.99           # float
is_member = True        # boolean

# Type conversion
age_str = str(age)
price_int = int(price)  # 19

→ Related: len() reference

Control flow — if/else, for, while

Control flow is where your programs start making decisions and repeating work.

# if / elif / else
score = 85
if score >= 90:
    grade = "A"
elif score >= 80:
    grade = "B"
else:
    grade = "C"

# for loops — iterate over a sequence
for i in range(5):
    print(i)

# while loops — repeat until a condition changes
count = 0
while count < 3:
    print(count)
    count += 1

→ Related: range() reference

Functions — def, arguments, returns

Functions let you package logic into reusable blocks. Every Python program of any size is built from functions.

def greet(name, greeting="Hello"):
    """Return a greeting for the given name."""
    return f"{greeting}, {name}!"

print(greet("Alice"))              # Hello, Alice!
print(greet("Bob", "Hi"))          # Hi, Bob!

Lists, tuples, sets, dicts

Four built-in collections cover 95% of real code:

# list — ordered, mutable
fruits = ["apple", "banana"]
fruits.append("cherry")

# tuple — ordered, immutable
coords = (10, 20)

# set — unordered, unique
tags = {"python", "coding", "python"}  # {'python', 'coding'}

# dict — key-value pairs
user = {"name": "Alice", "age": 30}
user["email"] = "alice@example.com"

→ Related: append() · keys() · items()

Files & error handling

Real programs read input from files and handle things going wrong. Two concepts unlock this: with open() and try/except.

# Read a file
with open("data.txt", "r") as f:
    content = f.read()

# Write a file
with open("output.txt", "w") as f:
    f.write("Hello\n")

# Handle errors
try:
    age = int(input("Age: "))
except ValueError:
    print("That's not a number!")

Modules & the standard library

Python ships with a "standard library" — hundreds of modules ready to use. Import what you need, don't reinvent.

import os
import json
import random
from datetime import datetime

print(random.randint(1, 10))
print(datetime.now().year)

# Install external packages
# pip install requests

Learn to use pip — Python's package manager. Every library on PyPI installs with pip install package_name.

Build your first project

This is where learning sticks. Pick one of these three projects. Don't skip this step — building beats watching tutorials every time.