Python Cheat Sheet¶
A quick reference for everything taught in this course. For the full explanation of any item, open its section.
Print, comments, variables (Section 02)¶
Print, comments, variables
print("Hello") # show text
print("a", "b", sep="-", end="!") # a-b!
# this is a comment # notes for people; Python ignores them
name = "Kalyan" # a variable: name = value
age = 30 # reassign any time; snake_case names
Data types and conversion (Section 02)¶
Data types and conversion
text = "hi" # str number = 7 # int
price = 2.5 # float ok = True # bool
type(price) # <class 'float'>
int("10") float("2.5") str(7) # convert between types
age = int(input("Age: ")) # input() always returns a str
Strings and f-strings (Section 03)¶
Strings and f-strings
s = "Python"
len(s) # 6
s.upper() s.lower() s.strip() s.replace("Py", "My")
s.split(",") # text -> list ",".join(["a", "b"]) # list -> text
f"Hi {name}, you are {age}" # f-string
f"{price:.2f}" f"{1234567:,}" # 2.50 / 1,234,567
s[0] s[-1] s[0:3] s[::-1] # index + slice
Operators, booleans, conditionals (Section 04)¶
Operators, booleans, conditionals
+ - * / # / always gives a float
// % ** # floor div, remainder, power
== != < > <= >= # comparisons -> True/False
and or not # combine booleans
x in items x not in items # membership
value is None # use is only with None/True/False
if marks >= 90:
print("A")
elif marks >= 50:
print("Pass")
else:
print("Fail")
label = "adult" if age >= 18 else "minor" # one-line ternary
Collections (Section 05)¶
Collections
nums = [1, 2, 3] # list - ordered, changeable
nums.append(4) nums.pop() nums[0] len(nums)
point = (10, 20) # tuple - ordered, fixed
person = {"name": "Kalyan", "age": 30} # dict - key/value
person["name"] person.get("city") # .get avoids KeyError
tags = {"a", "b", "a"} # set - unique items -> {"a", "b"}
Loops and comprehensions (Section 06)¶
Loops and comprehensions
while count < 3: # repeat while a condition holds
count += 1
for item in items: # loop over a collection
print(item)
for i in range(5): # 0..4 range(2, 10, 2) -> 2,4,6,8
for i, item in enumerate(items): # index + item
break # leave the loop continue # skip to next
squares = [n * n for n in range(5)] # list comprehension
evens = [n for n in nums if n % 2 == 0] # with a filter
Functions (Section 07)¶
Functions
def greet(name, greeting="Hi"): # default argument
"""A docstring describes the function."""
return f"{greeting}, {name}" # return hands a value back
greet("Kalyan") # call it
def total(*args): # *args -> tuple of extra positionals
def config(**kwargs): # **kwargs -> dict of named values
square = lambda x: x * x # a tiny one-line function
Type hints (Section 08)¶
Type hints
def add(a: int, b: int) -> int: # hints are labels, not enforced
return a + b
name: str = "Kalyan"
scores: list[int] = [90, 85]
city: str | None = None # optional value
Error handling (Section 09)¶
Error handling
try:
n = int(input("Number: "))
except ValueError: # catch the specific error
print("Not a number")
finally:
print("always runs")
raise ValueError("bad input") # raise your own error
Files, JSON, paths (Section 10)¶
Files, JSON, paths
from pathlib import Path
import json
Path("note.txt").write_text("hi") # write whole file
Path("note.txt").read_text() # read whole file
with open("data.txt") as f: # the safe way
text = f.read()
json.dump(data, open("d.json", "w"), indent=2) # save JSON
data = json.load(open("d.json")) # load JSON
p = Path("reports") / "2026" / "sales.csv" # build a path
p.name p.suffix p.stem p.parent p.exists()
Standard library (Section 11)¶
Standard library
import math
math.pi math.sqrt(16) math.ceil(2.1) math.floor(2.9)
import random
random.seed(3) # repeatable results
random.randint(1, 6) random.choice(items) random.shuffle(items)
from datetime import date, datetime
date.today() datetime.now()
from collections import Counter
Counter(["a", "b", "a"]) # Counter({"a": 2, "b": 1}) - never raises KeyError
Classes and OOP (Section 13)¶
Classes and OOPclass Expense:
def __init__(self, amount, category): # self = this object
self.amount = amount
self.category = category
def show(self): # a method
return f"{self.category}: {self.amount}"
e = Expense(50, "food") # create an object
e.amount e.show()
from dataclasses import dataclass
@dataclass # generates __init__ + a clean display
class Point:
x: int
y: int
¶
class Expense:
def __init__(self, amount, category): # self = this object
self.amount = amount
self.category = category
def show(self): # a method
return f"{self.category}: {self.amount}"
e = Expense(50, "food") # create an object
e.amount e.show()
from dataclasses import dataclass
@dataclass # generates __init__ + a clean display
class Point:
x: int
y: int
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