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Python Basics: A Beginner's Guide
1. Variables
Variables are containers for storing data. Think of them as labels for your data. In Python, defining a variable is straightforward.
# Assigning values to variables
one = 1
two = 2
some_number = 10000
# Different data types
true_boolean = True # Boolean
my_name = "John Doe" # String
book_price = 15.80 # Float
Each variable stores a value that can be retrieved or updated.
2. Control Flow: Conditional Statements
Control flow allows your program to make decisions. Python uses if
, elif
, and else
for conditional logic.
# Example: Using if
if 2 > 1:
print("2 is greater than 1")
# Example: Using if-else
if 1 > 2:
print("1 is greater than 2")
else:
print("1 is not greater than 2")
# Example: Using if-elif-else
if 1 > 2:
print("1 is greater than 2")
elif 2 > 1:
print("2 is greater than 1")
else:
print("Both are equal")
3. Loops
Loops are used for iterating over sequences or repeating operations.
While Loop
The while
loop repeats a block of code as long as the condition is True
.
num = 1
while num <= 5:
print(num)
num += 1 # Increment the value of num
For Loop
The for
loop iterates over a sequence like a list or range.
# Using range
for i in range(1, 6):
print(i)
4. Lists
Lists are used to store multiple items in a single variable.
# Creating a list
my_list = [10, 20, 30, 40]
# Accessing elements using indices
print(my_list[0]) # Output: 10
print(my_list[2]) # Output: 30
# Adding elements
my_list.append(50)
print(my_list) # Output: [10, 20, 30, 40, 50]
5. Dictionaries
Dictionaries store data in key-value pairs.
# Creating a dictionary
person = {
"name": "Alice",
"age": 25,
"city": "New York"
}
# Accessing values using keys
print(person["name"]) # Output: Alice
# Adding a new key-value pair
person["job"] = "Engineer"
print(person)
6. Iterating Through Data Structures
Iterating Through Lists
my_books = ["Book A", "Book B", "Book C"]
for book in my_books:
print(book)
Iterating Through Dictionaries
# Using keys and values
for key, value in person.items():
print(f"{key}: {value}")
7. Classes and Objects
Classes define blueprints for creating objects.
# Defining a class
class Vehicle:
def __init__(self, wheels, fuel, max_speed):
self.wheels = wheels
self.fuel = fuel
self.max_speed = max_speed
# Creating an object
my_car = Vehicle(4, "electric", 150)
print(my_car.wheels) # Output: 4
8. Encapsulation
Encapsulation hides internal data, exposing only the necessary parts.
class Person:
def __init__(self, name, age):
self._name = name # Non-public variable
self._age = age
def get_name(self): # Public method
return self._name
def set_name(self, name):
self._name = name
9. Inheritance
Inheritance allows a class to inherit attributes and methods from another class.
# Parent class
class Animal:
def __init__(self, name):
self.name = name
def speak(self):
print(f"{self.name} makes a sound")
# Child class inheriting from Animal
class Dog(Animal):
def speak(self):
print(f"{self.name} barks")
my_dog = Dog("Buddy")
my_dog.speak() # Output: Buddy barks
Summary
- Variables: Containers for data.
-
Control Flow: Use
if
,elif
, andelse
for decisions. -
Loops: Use
for
andwhile
to repeat actions. - Lists: Store multiple values in an ordered sequence.
- Dictionaries: Store key-value pairs for flexible data storage.
- Classes & Objects: Model real-world entities.
- Encapsulation: Protect internal data.
- Inheritance: Reuse attributes and methods in derived classes.
With these basics, you're ready to start building Python programs! 🚀
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