VARIABLES & DATA TYPES

Variables store data values. Python is dynamically typed.

# Integer
age = 25
print(type(age))  # 

# Float
price = 19.99
print(type(price))  # 

# String
name = "Alice"
print(type(name))  # 

# Boolean
is_active = True
print(type(is_active))  # 

TYPE CASTING

Converting between data types.

# String to integer
num_str = "123"
num_int = int(num_str)  # 123

# Integer to string
num = 456
num_as_str = str(num)  # "456"

# Float to integer (truncates decimal)
float_num = 3.99
int_num = int(float_num)  # 3 (not rounded!)

# Integer to float
int_num = 7
float_num = float(int_num)  # 7.0

INPUT & OUTPUT

Getting user input and displaying output.

# Basic print
print("Hello, World!")
print("Value is:", 42)

# Formatted output
name = "Bob"
age = 30
print(f"{name} is {age} years old")  # f-string (modern)
print("{} is {} years old".format(name, age))  # .format()
print("%s is %d years old" % (name, age))  # % formatting

# User input
user_name = input("Enter your name: ")
print(f"Hello, {user_name}!")

# Input always returns string
age_input = input("Enter your age: ")
age = int(age_input)  # Convert to int for calculations

OPERATORS

CONDITIONAL STATEMENTS

# Basic if-else
age = 18
if age >= 18:
    print("You can vote!")
else:
    print("Too young to vote")

# if-elif-else chain
score = 85
if score >= 90:
    grade = "A"
elif score >= 80:
    grade = "B"  # This executes for score=85
elif score >= 70:
    grade = "C"
else:
    grade = "F"

print(f"Grade: {grade}")

# Nested conditions
temperature = 25
is_sunny = True

if temperature > 20:
    if is_sunny:
        print("Perfect beach weather!")
    else:
        print("Warm but cloudy")
else:
    print("Too cold for beach")

# One-liner (ternary)
status = "adult" if age >= 18 else "minor"

FOR LOOPS

# Basic for loop
fruits = ["apple", "banana", "cherry"]
for fruit in fruits:
    print(fruit)

# With range()
for i in range(5):  # 0 to 4
    print(i)

for i in range(2, 8):  # 2 to 7
    print(i)

for i in range(0, 10, 2):  # 0, 2, 4, 6, 8
    print(i)

# Looping with index
for i, fruit in enumerate(fruits):
    print(f"{i}: {fruit}")

# Nested loops
for i in range(3):
    for j in range(2):
        print(f"({i}, {j})")

WHILE LOOPS

# Basic while loop
count = 0
while count < 5:
    print(count)
    count += 1  # Don't forget to increment!

# While with condition
password = ""
while password != "secret":
    password = input("Enter password: ")
print("Access granted!")

# Infinite loop (with break)
while True:
    user_input = input("Enter 'quit' to exit: ")
    if user_input == "quit":
        break
    print(f"You entered: {user_input}")

LOOP CONTROL STATEMENTS

# break - exit loop immediately
for i in range(10):
    if i == 5:
        break
    print(i)  # Prints 0,1,2,3,4

# continue - skip to next iteration
for i in range(5):
    if i == 2:
        continue
    print(i)  # Prints 0,1,3,4

# pass - placeholder (does nothing)
for i in range(5):
    if i == 3:
        pass  # TODO: Add implementation later
    print(i)

# else with loops (executes if loop completes without break)
for i in range(3):
    print(i)
else:
    print("Loop completed!")  # This runs

for i in range(3):
    if i == 1:
        break
    print(i)
else:
    print("Loop completed!")  # This doesn't run

# Print right triangle
for i in range(1, 6):
    print("*" * i)

# Output:
# *
# **
# ***
# ****
# *****

# Print pyramid
n = 5
for i in range(1, n+1):
    spaces = " " * (n - i)
    stars = "*" * (2*i - 1)
    print(spaces + stars)

STRING BASICS

# Creation
s1 = "Hello"
s2 = 'World'
s3 = """Multi-line
string"""
s4 = str(123)  # "123"

# Indexing
text = "Python"
first_char = text[0]  # "P"
last_char = text[-1]  # "n"
# text[0] = "J"  # ERROR: Strings are immutable!

# Slicing [start:end:step]
text = "Python Programming"
print(text[0:6])  # "Python"
print(text[7:])   # "Programming"
print(text[:6])   # "Python"
print(text[::2])  # "Pto rgamn"
print(text[::-1]) # Reverse: "gnimmargorP nohtyP"

STRING METHODS

STRING PROBLEMS

# Palindrome check
def is_palindrome(s):
    s = s.lower().replace(" ", "")
    return s == s[::-1]

print(is_palindrome("racecar"))  # True
print(is_palindrome("hello"))    # False

# Anagram check
def is_anagram(s1, s2):
    return sorted(s1.lower()) == sorted(s2.lower())

print(is_anagram("listen", "silent"))  # True
print(is_anagram("hello", "world"))    # False

LISTS

# Creation
numbers = [1, 2, 3, 4, 5]
mixed = [1, "hello", 3.14, True]
empty = []
from_range = list(range(5))  # [0,1,2,3,4]

# Access & modification
numbers[0] = 10  # Lists are mutable
print(numbers[-1])  # Last element: 5
print(numbers[1:4])  # Slice: [2,3,4]

# Common methods
numbers.append(6)  # Add to end
numbers.insert(0, 0)  # Insert at index 0
numbers.extend([7, 8])  # Add multiple items
removed = numbers.pop()  # Remove last item (8)
numbers.remove(3)  # Remove first occurrence of 3
if 4 in numbers:  # Check existence
    print("Found 4")
    
# List comprehension (powerful!)
squares = [x**2 for x in range(10)]
even_squares = [x**2 for x in range(10) if x % 2 == 0]

TUPLES

# Creation (immutable)
point = (10, 20)
single = (5,)  # Comma required for single element
coordinates = tuple([1, 2, 3])

# Access (same as lists)
x = point[0]
y = point[1]

# Unpacking
x, y = point  # x=10, y=20

# Why use tuples?
# 1. Faster than lists
# 2. Safe (can't be modified accidentally)
# 3. Can be used as dictionary keys
# 4. Return multiple values from functions

# Returning multiple values
def get_stats(numbers):
    return min(numbers), max(numbers), sum(numbers)/len(numbers)

min_val, max_val, avg = get_stats([1,2,3,4,5])

SETS

# Creation (unique, unordered)
unique_nums = {1, 2, 3, 3, 2}  # {1, 2, 3}
empty_set = set()  # {} creates empty dict!

# Set operations
A = {1, 2, 3, 4}
B = {3, 4, 5, 6}

print(A | B)  # Union: {1,2,3,4,5,6}
print(A & B)  # Intersection: {3,4}
print(A - B)  # Difference: {1,2}
print(A ^ B)  # Symmetric difference: {1,2,5,6}

# Methods
A.add(5)
A.remove(2)  # Error if not exists
A.discard(2)  # No error if not exists
A.pop()  # Remove random element

# Set comprehension
unique_chars = {char for char in "hello world" if char != " "}

DICTIONARY BASICS

# Creation
student = {"name": "Alice", "age": 20, "grade": "A"}
empty_dict = {}
another = dict(name="Bob", age=21)

# Access
print(student["name"])  # "Alice"
print(student.get("age"))  # 20
print(student.get("height", "N/A"))  # "N/A" (default if key missing)

# Modification
student["age"] = 21  # Update
student["height"] = 165  # Add new key
del student["grade"]  # Remove key

# Check key existence
if "name" in student:
    print("Name exists")

# Iteration
for key in student:  # Or student.keys()
    print(key, student[key])

for key, value in student.items():
    print(f"{key}: {value}")

DICTIONARY METHODS

NESTED DICTIONARIES & JSON

# Nested dictionary
company = {
    "name": "TechCorp",
    "employees": {
        "101": {"name": "Alice", "position": "Developer"},
        "102": {"name": "Bob", "position": "Designer"}
    },
    "departments": ["IT", "HR", "Finance"]
}

# Access nested values
print(company["employees"]["101"]["name"])  # "Alice"

# JSON-like structure (common in web APIs)
import json

# Python dict to JSON string
person_dict = {"name": "John", "age": 30}
json_string = json.dumps(person_dict)  # '{"name": "John", "age": 30}'

# JSON string to Python dict
parsed_dict = json.loads(json_string)

# Dictionary comprehension
squares = {x: x**2 for x in range(5)}  # {0:0, 1:1, 2:4, 3:9, 4:16}

FUNCTION BASICS

# Defining functions
def greet(name):
    """Return a greeting message."""  # Docstring
    return f"Hello, {name}!"

# Calling functions
message = greet("Alice")
print(message)  # "Hello, Alice!"

# Functions without return
def print_sum(a, b):
    print(f"Sum: {a + b}")  # Returns None

# Multiple return values
def min_max(numbers):
    return min(numbers), max(numbers)

low, high = min_max([1, 5, 2, 8, 3])

FUNCTION ARGUMENTS

# Positional arguments
def power(base, exponent):
    return base ** exponent

result = power(2, 3)  # 8

# Keyword arguments
result = power(exponent=3, base=2)  # Order doesn't matter

# Default parameters
def greet(name, greeting="Hello"):
    return f"{greeting}, {name}!"

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

# Variable-length arguments
def sum_all(*args):  # args is a tuple
    return sum(args)

print(sum_all(1, 2, 3, 4))  # 10

def print_info(**kwargs):  # kwargs is a dictionary
    for key, value in kwargs.items():
        print(f"{key}: {value}")

print_info(name="Alice", age=25, city="NYC")

LAMBDA & FUNCTIONAL TOOLS

# Lambda functions (anonymous)
square = lambda x: x ** 2
print(square(5))  # 25

# Often used with map, filter, reduce
numbers = [1, 2, 3, 4, 5]

# map: apply function to all items
squares = list(map(lambda x: x**2, numbers))  # [1, 4, 9, 16, 25]

# filter: keep items where function returns True
evens = list(filter(lambda x: x % 2 == 0, numbers))  # [2, 4]

# reduce: apply function cumulatively
from functools import reduce
product = reduce(lambda x, y: x * y, numbers)  # 120

# List comprehension alternative
squares = [x**2 for x in numbers]  # Often more readable
evens = [x for x in numbers if x % 2 == 0]

RECURSION

# Factorial example
def factorial(n):
    if n <= 1:  # Base case
        return 1
    return n * factorial(n - 1)  # Recursive case

print(factorial(5))  # 120

# Fibonacci sequence
def fibonacci(n):
    if n <= 1:
        return n
    return fibonacci(n-1) + fibonacci(n-2)

print(fibonacci(6))  # 8

# Recursion tips:
# 1. Always have a base case
# 2. Ensure progress toward base case
# 3. Python has recursion limit (~1000)

MODULES

# Importing modules
import math
print(math.sqrt(16))  # 4.0

# Import with alias
import datetime as dt
today = dt.date.today()

# Import specific functions
from random import randint, choice
number = randint(1, 10)
item = choice(["apple", "banana", "cherry"])

# Import everything (not recommended)
from os import *  # Pollutes namespace

# Create your own module
# Save as mymodule.py:
"""
def greet(name):
    return f"Hello, {name}!"

PI = 3.14159
"""

# Then import it:
# import mymodule
# print(mymodule.greet("Alice"))

USEFUL BUILT-IN MODULES

FILE HANDLING

# Reading files
with open("data.txt", "r") as file:  # 'r' = read mode
    content = file.read()  # Read entire file
    # OR: lines = file.readlines()  # List of lines

# Writing files
with open("output.txt", "w") as file:  # 'w' = write (overwrites)
    file.write("Hello, World!\n")
    file.write("Second line\n")

# Appending to files
with open("log.txt", "a") as file:  # 'a' = append
    file.write("New log entry\n")

# Reading line by line (memory efficient)
with open("large_file.txt", "r") as file:
    for line in file:
        print(line.strip())  # Process each line

# File modes:
# 'r' - read (default)
# 'w' - write (creates or truncates)
# 'a' - append (creates or appends)
# 'x' - exclusive creation (fails if exists)
# 'b' - binary mode ('rb', 'wb')
# '+' - read and write ('r+', 'w+')

EXCEPTION HANDLING BASICS

# Basic try-except
try:
    result = 10 / 0
except ZeroDivisionError:
    print("Cannot divide by zero!")

# Multiple exceptions
try:
    num = int(input("Enter a number: "))
    result = 10 / num
    print(f"Result: {result}")
except ValueError:
    print("Invalid input! Please enter a number.")
except ZeroDivisionError:
    print("Cannot divide by zero!")
except Exception as e:  # Catch any other exception
    print(f"Unexpected error: {e}")

# else and finally
try:
    file = open("data.txt", "r")
    content = file.read()
except FileNotFoundError:
    print("File not found!")
else:
    print("File read successfully!")
    print(content)
finally:
    print("This always executes")
    # Good for cleanup (closing files, connections)

COMMON EXCEPTIONS

RAISING EXCEPTIONS

# Raising exceptions
def calculate_age(birth_year):
    if birth_year < 1900 or birth_year > 2023:
        raise ValueError("Invalid birth year")
    return 2023 - birth_year

try:
    age = calculate_age(1800)
except ValueError as e:
    print(f"Error: {e}")

# Custom exceptions
class InvalidEmailError(Exception):
    """Exception raised for invalid email addresses."""
    def __init__(self, email, message="Invalid email address"):
        self.email = email
        self.message = message
        super().__init__(self.message)

def validate_email(email):
    if "@" not in email:
        raise InvalidEmailError(email)
    return True

# Assertions (for debugging)
def calculate_average(numbers):
    assert len(numbers) > 0, "List cannot be empty"
    return sum(numbers) / len(numbers)

CLASSES & OBJECTS

# Basic class
class Dog:
    # Class attribute (shared by all instances)
    species = "Canis familiaris"
    
    # Constructor (__init__ method)
    def __init__(self, name, age):
        # Instance attributes
        self.name = name
        self.age = age
    
    # Instance method
    def bark(self):
        return f"{self.name} says woof!"
    
    def get_info(self):
        return f"{self.name} is {self.age} years old"

# Creating objects
dog1 = Dog("Buddy", 3)
dog2 = Dog("Max", 5)

print(dog1.bark())  # "Buddy says woof!"
print(dog2.get_info())  # "Max is 5 years old"
print(Dog.species)  # "Canis familiaris" (class attribute)

INHERITANCE

# Base class
class Animal:
    def __init__(self, name):
        self.name = name
    
    def speak(self):
        raise NotImplementedError("Subclass must implement this method")

# Child class
class Cat(Animal):
    def __init__(self, name, color):
        super().__init__(name)  # Call parent constructor
        self.color = color
    
    # Override parent method
    def speak(self):
        return f"{self.name} says meow!"
    
    def get_info(self):
        return f"{self.name} is a {self.color} cat"

# Using inheritance
cat = Cat("Whiskers", "orange")
print(cat.speak())  # "Whiskers says meow!"
print(cat.get_info())  # "Whiskers is an orange cat"

# Multiple inheritance
class Pet:
    def __init__(self, owner):
        self.owner = owner

class DogPet(Dog, Pet):
    def __init__(self, name, age, owner):
        Dog.__init__(self, name, age)
        Pet.__init__(self, owner)

ENCAPSULATION & SPECIAL METHODS

# Encapsulation with private attributes
class BankAccount:
    def __init__(self, owner, balance=0):
        self.owner = owner
        self.__balance = balance  # Private attribute
    
    # Getter method
    def get_balance(self):
        return self.__balance
    
    # Setter method (with validation)
    def deposit(self, amount):
        if amount > 0:
            self.__balance += amount
            return True
        return False
    
    def withdraw(self, amount):
        if 0 < amount <= self.__balance:
            self.__balance -= amount
            return True
        return False

# Special methods (dunder methods)
class Vector:
    def __init__(self, x, y):
        self.x = x
        self.y = y
    
    def __str__(self):  # String representation
        return f"Vector({self.x}, {self.y})"
    
    def __repr__(self):  # Official representation
        return f"Vector({self.x}, {self.y})"
    
    def __add__(self, other):  # + operator
        return Vector(self.x + other.x, self.y + other.y)
    
    def __len__(self):  # len() function
        return 2
    
    def __eq__(self, other):  # == operator
        return self.x == other.x and self.y == other.y

v1 = Vector(2, 3)
v2 = Vector(1, 1)
print(v1 + v2)  # Vector(3, 4)
print(v1 == v2)  # False

POLYMORPHISM & ABSTRACTION

# Polymorphism - same interface, different implementation
class Shape:
    def area(self):
        pass

class Circle(Shape):
    def __init__(self, radius):
        self.radius = radius
    
    def area(self):
        return 3.14 * self.radius ** 2

class Rectangle(Shape):
    def __init__(self, width, height):
        self.width = width
        self.height = height
    
    def area(self):
        return self.width * self.height

# Different objects, same method
shapes = [Circle(5), Rectangle(4, 6)]
for shape in shapes:
    print(f"Area: {shape.area()}")  # Polymorphic call

# Abstraction - hide complex implementation
from abc import ABC, abstractmethod

class Database(ABC):
    @abstractmethod
    def connect(self):
        pass
    
    @abstractmethod
    def query(self, sql):
        pass

class MySQLDatabase(Database):
    def connect(self):
        print("Connecting to MySQL...")
    
    def query(self, sql):
        print(f"Executing MySQL query: {sql}")

# Can't instantiate abstract class
# db = Database()  # Error!
db = MySQLDatabase()  # OK

MEMORY AIDS & MNEMONICS

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