Python Cheatsheet Every Learner Must Know

Python is one of the most versatile and beginner-friendly programming languages. Whether you’re just starting out or looking to refresh your memory, this comprehensive cheatsheet will save you hours of time searching for syntax and common patterns. Keep this guide handy as your quick reference!

📊 Quick Reference Table

Category	Concept	Syntax
Variables	Assignment	`x = 5`
	Multiple assignment	`a, b = 1, 2`
Data Types	String	`text = "Hello"`
	Integer	`num = 42`
	Float	`pi = 3.14`
	Boolean	`is_true = True`
	List	`items = [1, 2, 3]`
	Tuple	`coords = (x, y)`
	Dictionary	`data = {"key": "value"}`
	Set	`unique = {1, 2, 3}`
String Operations	Concatenation	`"Hello" + " World"`
	Repetition	`"Ha" * 3`
	Slicing	`text[0:5]`
	Length	`len(text)`
	Upper/Lower	`text.upper()` / `text.lower()`
	Strip whitespace	`text.strip()`
	Replace	`text.replace("old", "new")`
	Split	`text.split(",")`
	Join	`", ".join(list)`
List Operations	Append	`list.append(item)`
	Extend	`list.extend([1, 2])`
	Insert	`list.insert(0, item)`
	Remove	`list.remove(item)`
	Pop	`list.pop()` / `list.pop(index)`
	Index	`list.index(item)`
	Count	`list.count(item)`
	Sort	`list.sort()` / `sorted(list)`
	Reverse	`list.reverse()`
	List comprehension	`[x*2 for x in list]`
Dictionary Operations	Access value	`dict["key"]`
	Get with default	`dict.get("key", default)`
	Add key-value	`dict["new"] = "value"`
	Remove key	`del dict["key"]`
	Get keys	`dict.keys()`
	Get values	`dict.values()`
	Get items	`dict.items()`
	Check key exists	`"key" in dict`
Control Flow	If statement	`if condition:`
	If-else	`if condition: else:`
	If-elif-else	`if: elif: else:`
	For loop	`for item in iterable:`
	While loop	`while condition:`
	Break	`break`
	Continue	`continue`
Loops & Iteration	Range	`for i in range(5):`
	Enumerate	`for i, val in enumerate(list):`
	Zip	`for a, b in zip(list1, list2):`
	List comprehension	`[x for x in list if condition]`
Functions	Define function	`def func_name(params):`
	Return value	`return value`
	Default parameter	`def func(param="default"):`
	*args	`def func(*args):`
	**kwargs	`def func(**kwargs):`
	Lambda	`lambda x: x*2`
	Map	`list(map(func, iterable))`
	Filter	`list(filter(func, iterable))`
	Reduce	`from functools import reduce`
File Operations	Open file	`open("file.txt", "r")`
	Read file	`file.read()` / `file.readlines()`
	Write file	`file.write("text")`
	Close file	`file.close()`
	Context manager	`with open("file") as f:`
Exception Handling	Try-except	`try: except:`
	Specific exception	`except ValueError:`
	Finally	`finally:`
	Raise exception	`raise Exception("msg")`
Classes & OOP	Define class	`class MyClass:`
	Constructor	`def __init__(self):`
	Method	`def method(self):`
	Inheritance	`class Child(Parent):`
	Super class	`super().__init__()`
	Class variable	`class_var = value`
	Instance variable	`self.var = value`
Modules	Import module	`import module`
	Import specific	`from module import func`
	Import with alias	`import module as alias`
	Import all	`from module import *`
String Formatting	f-string	`f"Value: {var}"`
	Format method	`"{}".format(var)`
	Percent formatting	`"%s" % var`
Math Operations	Power	`2 ** 3`
	Floor division	`7 // 2`
	Modulo	`7 % 2`
	Absolute value	`abs(-5)`
	Round	`round(3.14159, 2)`
	Max/Min	`max([1, 2, 3])` / `min([1, 2, 3])`
	Sum	`sum([1, 2, 3])`
Boolean Operations	And	`condition1 and condition2`
	Or	`condition1 or condition2`
	Not	`not condition`
	Comparison	`==`, `!=`, `>`, `<`, `>=`, `<=`
Type Conversion	To string	`str(123)`
	To integer	`int("123")`
	To float	`float("3.14")`
	To list	`list("abc")`
	To tuple	`tuple([1, 2, 3])`
	To set	`set([1, 2, 2])`

🚀 Essential Code Snippets

1. String Manipulation

      
       text = "  Hello, World!  "

# Remove whitespace
clean = text.strip()

# Convert to uppercase
upper = text.upper()

# Replace text
replaced = text.replace("World", "Python")

# Split into words
words = text.split(", ")

# Join list into string
joined = "-".join(["Python", "is", "awesome"])

print(clean, upper, replaced, words, joined)

2. List Comprehensions

      
       # Basic list comprehension
squares = [x**2 for x in range(10)]

# With condition
evens = [x for x in range(20) if x % 2 == 0]

# Nested comprehension
matrix = [[i*j for j in range(3)] for i in range(3)]

print(squares)    # [0, 1, 4, 9, 16, 25, 36, 49, 64, 81]
print(evens)      # [0, 2, 4, 6, 8, 10, 12, 14, 16, 18]
print(matrix)     # [[0, 0, 0], [0, 1, 2], [0, 2, 4]]

3. Dictionary Operations

      
    
      
       # Create dictionary
person = {
    "name": "Alice",
    "age": 30,
    "city": "New York"
}

# Access values
print(person["name"])           # Alice
print(person.get("country", "USA"))  # USA (default)

# Update dictionary
person["age"] = 31
person["email"] = "alice@example.com"

# Iterate through dictionary
for key, value in person.items():
    print(f"{key}: {value}")

# Get keys and values
keys = list(person.keys())
values = list(person.values())

      
      
       

4. File Handling

      
    
      
       # Reading a file
with open("input.txt", "r") as file:
    content = file.read()
    lines = file.readlines()

# Writing to a file
with open("output.txt", "w") as file:
    file.write("Hello, World!\n")
    file.write("This is a new line.")

# Appending to a file
with open("log.txt", "a") as file:
    file.write(f"Log entry: {datetime.now()}\n")

# Reading CSV file
import csv
with open("data.csv", "r") as file:
    reader = csv.DictReader(file)
    for row in reader:
        print(row)

      
      
       

5. Exception Handling

      
    
      
       try:
    # Code that might raise an exception
    result = 10 / 0
except ZeroDivisionError:
    print("Cannot divide by zero!")
except ValueError as e:
    print(f"Invalid value: {e}")
except Exception as e:
    print(f"An error occurred: {e}")
else:
    print("No exceptions occurred")
finally:
    print("This always executes")

# Raising custom exceptions
def validate_age(age):
    if age < 0:
        raise ValueError("Age cannot be negative")
    return age

      
      
       

6. Working with Sets

      
    
      
       # Create sets
set1 = {1, 2, 3, 4}
set2 = {3, 4, 5, 6}

# Set operations
union = set1 | set2           # {1, 2, 3, 4, 5, 6}
intersection = set1 & set2     # {3, 4}
difference = set1 - set2        # {1, 2}
symmetric_diff = set1 ^ set2    # {1, 2, 5, 6}

# Set methods
set1.add(5)
set1.remove(1)
set1.discard(10)  # No error if not exists
is_member = 3 in set1  # True

      
      
       

7. Lambda Functions

      
    
      
       # Simple lambda
square = lambda x: x ** 2
print(square(5))  # 25

# Lambda with multiple arguments
add = lambda x, y: x + y
print(add(3, 4))  # 7

# Lambda with conditional
is_even = lambda x: x % 2 == 0
print(is_even(4))  # True

# Using lambda with map
numbers = [1, 2, 3, 4, 5]
squared = list(map(lambda x: x**2, numbers))
print(squared)  # [1, 4, 9, 16, 25]

# Using lambda with filter
evens = list(filter(lambda x: x % 2 == 0, numbers))
print(evens)  # [2, 4]

      
      
       

8. Class Basics

      
    
      
       class Dog:
    # Class variable
    species = "Canis familiaris"
    
    def __init__(self, name, age):
        # Instance variables
        self.name = name
        self.age = age
    
    def bark(self):
        return f"{self.name} says Woof!"
    
    def birthday(self):
        self.age += 1
        return f"{self.name} is now {self.age} years old"

# Create instance
my_dog = Dog("Buddy", 3)
print(my_dog.bark())        # Buddy says Woof!
print(my_dog.birthday())    # Buddy is now 4 years old
print(my_dog.species)        # Canis familiaris

      
      
       

9. Time and Date

      
       from datetime import datetime, timedelta

# Current date and time
now = datetime.now()
print(now.strftime("%Y-%m-%d %H:%M:%S"))

# Create specific date
date = datetime(2026, 2, 17)
print(date)

# Date arithmetic
future = now + timedelta(days=7)
past = now - timedelta(hours=24)

# Parse string to date
date_str = "2026-02-17"
parsed = datetime.strptime(date_str, "%Y-%m-%d")

# Calculate difference
diff = future - now
print(f"Days until: {diff.days}")

10. Working with JSON

      
    
      
       import json

# Dictionary to JSON
data = {
    "name": "Python",
    "version": 3.12,
    "features": ["easy", "powerful", "versatile"]
}

# Convert to JSON string
json_string = json.dumps(data, indent=2)
print(json_string)

# Parse JSON string
parsed = json.loads(json_string)
print(parsed["features"])

# Read JSON file
with open("data.json", "r") as file:
    data = json.load(file)

# Write JSON file
with open("output.json", "w") as file:
    json.dump(data, file, indent=2)

      
      
       

📚 Common Import Statements

Purpose	Import Statement
Math operations	`import math`
Random numbers	`import random`
Date and time	`from datetime import datetime`
Regular expressions	`import re`
JSON handling	`import json`
CSV files	`import csv`
File paths	`from pathlib import Path`
HTTP requests	`import requests`
Data analysis	`import pandas as pd`
Plotting	`import matplotlib.pyplot as plt`
NumPy arrays	`import numpy as np`
System operations	`import os`
Command line args	`import sys`
Time operations	`import time`
Copy objects	`import copy`
Collections	`from collections import defaultdict, Counter`
Itertools	`from itertools import count, cycle`

⚡ Time-Saving Tips

1. Use f-strings for formatting

      
       # Old way
name = "Alice"
age = 25
print("Name: %s, Age: %d" % (name, age))

# Better way
print(f"Name: {name}, Age: {age}")

2. Use enumerate for index and value

      
       # Old way
items = ['a', 'b', 'c']
for i in range(len(items)):
    print(i, items[i])

# Better way
for i, item in enumerate(items):
    print(i, item)

3. Use zip for parallel iteration

      
       names = ['Alice', 'Bob', 'Charlie']
ages = [25, 30, 35]

for name, age in zip(names, ages):
    print(f"{name} is {age} years old")

4. Use context managers for files

      
       # Old way
file = open("data.txt", "r")
content = file.read()
file.close()

# Better way
with open("data.txt", "r") as file:
    content = file.read()

5. Use list comprehensions instead of loops

      
       # Old way
squares = []
for i in range(10):
    squares.append(i**2)

# Better way
squares = [i**2 for i in range(10)]

6. Use defaultdict for counting

      
       from collections import defaultdict

# Old way
counts = {}
for item in items:
    if item not in counts:
        counts[item] = 0
    counts[item] += 1

# Better way
counts = defaultdict(int)
for item in items:
    counts[item] += 1

7. Use Counter for frequency analysis

      
       from collections import Counter

words = ['apple', 'banana', 'apple', 'orange', 'banana', 'apple']
word_counts = Counter(words)

print(word_counts.most_common(2))  # [('apple', 3), ('banana', 2)]

8. Use pathlib for file paths

      
       from pathlib import Path

# Old way
import os
path = os.path.join('folder', 'file.txt')

# Better way
path = Path('folder') / 'file.txt'

# Check if exists
if path.exists():
    content = path.read_text()

🎯 Best Practices

Use meaningful variable names

      
       # Bad
x = 5
y = 10
   
# Good
width = 5
height = 10

Write docstrings for functions

      
       def calculate_area(length, width):
    """Calculate the area of a rectangle.
       
    Args:
        length: The length of the rectangle
        width: The width of the rectangle
           
    Returns:
        The area of the rectangle
    """
    return length * width

Use type hints (Python 3.5+)

      
       def greet(name: str) -> str:
    return f"Hello, {name}!"

Handle exceptions gracefully

      
       try:
    result = risky_operation()
except SpecificException as e:
    logger.error(f"Error: {e}")
    raise

Use constants for magic numbers

      
       # Bad
if temperature > 37:
    print("High temperature")
   
# Good
NORMAL_TEMP = 37
if temperature > NORMAL_TEMP:
    print("High temperature")

📖 Common Mistakes to Avoid

Modifying list while iterating

      
       # Bad - will cause issues
items = [1, 2, 3, 4, 5]
for item in items:
    if item % 2 == 0:
        items.remove(item)
   
# Good - create new list
items = [1, 2, 3, 4, 5]
items = [item for item in items if item % 2 != 0]

Using mutable default arguments

      
       # Bad - shared across calls
def append_to(item, lst=[]):
    lst.append(item)
    return lst
   
# Good - use None as default
def append_to(item, lst=None):
    if lst is None:
        lst = []
    lst.append(item)
    return lst

Comparing with None

      
       # Bad
if x == None:
    pass
   
# Good
if x is None:
    pass

Forgetting to use list() on map/filter

      
       # In Python 3, map returns iterator
result = map(lambda x: x*2, [1, 2, 3])
print(list(result))  # Need to convert to list

🔧 Debugging Tips

Use print statements strategically
```
print(f"Debug: x = {x}, y = {y}")
```
Use pdb for interactive debugging
```
import pdb; pdb.set_trace()
```
Use type() to check variable types
```
print(type(variable))
```
Use dir() to explore objects
```
print(dir(my_object))
```
Use help() for documentation
```
help(str.upper)
```

Conclusion

This Python cheatsheet covers the most essential concepts and operations you’ll use daily as a Python developer. Keep this guide bookmarked and refer to it whenever you need a quick reminder. The more you practice these patterns, the more natural they’ll become.

Remember, the best way to learn Python is by writing code. Start with small projects, experiment with these concepts, and gradually build up your skills. Happy coding!

Python Cheatsheet Every Learner Must Know - Save Hours of Time

Contents

Python Cheatsheet Every Learner Must Know

📊 Quick Reference Table

🚀 Essential Code Snippets

1. String Manipulation

2. List Comprehensions

3. Dictionary Operations

4. File Handling

5. Exception Handling

6. Working with Sets

7. Lambda Functions

8. Class Basics

9. Time and Date

10. Working with JSON

📚 Common Import Statements

⚡ Time-Saving Tips

1. Use f-strings for formatting

2. Use enumerate for index and value

3. Use zip for parallel iteration

4. Use context managers for files

5. Use list comprehensions instead of loops

6. Use defaultdict for counting

7. Use Counter for frequency analysis

8. Use pathlib for file paths

🎯 Best Practices

📖 Common Mistakes to Avoid

🔧 Debugging Tips

Conclusion

Python Cheatsheet Every Learner Must Know - Save Hours of Time

Contents

Python Cheatsheet Every Learner Must Know

📊 Quick Reference Table

🚀 Essential Code Snippets

1. String Manipulation

2. List Comprehensions

3. Dictionary Operations

4. File Handling

5. Exception Handling

6. Working with Sets

7. Lambda Functions

8. Class Basics

9. Time and Date

10. Working with JSON

📚 Common Import Statements

⚡ Time-Saving Tips

1. Use f-strings for formatting

2. Use enumerate for index and value

3. Use zip for parallel iteration

4. Use context managers for files

5. Use list comprehensions instead of loops

6. Use defaultdict for counting

7. Use Counter for frequency analysis

8. Use pathlib for file paths

🎯 Best Practices

📖 Common Mistakes to Avoid

🔧 Debugging Tips

Conclusion

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