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Python Functions & Modules
Chapter 4 of 12 • 85% complete
Async JavaScript
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Master Python programming from basics to advanced concepts including data structures, OOP, and web development.
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Revision Notes
Quick reference for all programming concepts
List Comprehensions
Pythonic way to create lists based on existing lists. More concise and readable than traditional for loops.
# Basic syntax
squares = [x**2 for x in range(10)]
# With condition
even_squares = [x**2 for x in range(10) if x % 2 == 0]
# Nested comprehension
matrix = [[i*j for j in range(3)] for i in range(3)]
Async/Await Pattern
Modern way to handle asynchronous operations. Makes async code look and behave like synchronous code.
// Async function declaration
async function fetchData() {
try {
const response = await fetch('/api/data');
const data = await response.json();
return data;
} catch (error) {
console.error('Error:', error);
}
}
// Using Promise.all for parallel execution
async function fetchMultiple() {
const [users, posts] = await Promise.all([
fetch('/api/users'),
fetch('/api/posts')
]);
return { users, posts };
}
Interface vs Abstract Class
Key differences between interfaces and abstract classes in Java.
// Interface - contract definition
public interface Drawable {
void draw(); // implicitly public abstract
default void print() {
System.out.println("Printing...");
}
}
// Abstract class - partial implementation
public abstract class Shape {
protected String color;
public Shape(String color) {
this.color = color;
}
public abstract double getArea();
public String getColor() {
return color;
}
}
Decorators
Decorators are a powerful feature that allows you to modify or enhance functions without changing their source code.
import functools
import time
# Function decorator
def timer(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
start = time.time()
result = func(*args, **kwargs)
elapsed = time.time() - start
print(f"{func.__name__} took {elapsed:.2f}s")
return result
return wrapper
@timer
def slow_function():
time.sleep(1)
return "Done"
LINQ Basics
Language Integrated Query (LINQ) provides a consistent query experience across different data sources.
// Query syntax
var adults = from p in people
where p.Age >= 18
orderby p.Name
select p.Name;
// Method syntax
var adults = people
.Where(p => p.Age >= 18)
.OrderBy(p => p.Name)
.Select(p => p.Name)
.ToList();
// Aggregation
var avgAge = people.Average(p => p.Age);
Smart Pointers
Smart pointers manage memory automatically, preventing memory leaks and dangling pointers.
#include
// Unique pointer - exclusive ownership
std::unique_ptr ptr1 = std::make_unique(42);
auto ptr2 = std::make_unique>(10);
// Shared pointer - shared ownership
std::shared_ptr res1 = std::make_shared();
std::shared_ptr res2 = res1; // reference count: 2
// Weak pointer - non-owning reference
std::weak_ptr weak = res1;
Video Summary
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Introduction to Python
Why Learn Python?
Python is one of the most popular programming languages in the world. It's used by companies like Google, Netflix, Instagram, and Spotify. Python's simple syntax makes it perfect for beginners, while its powerful libraries make it ideal for advanced projects.
What You'll Learn:
- ✅ Python's history and popularity
- ✅ Real-world applications (AI, Data Science, Web Dev)
- ✅ Why Python is beginner-friendly
- ✅ Career opportunities with Python
- ✅ Setting up your development environment
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Python Functions & Modules
Chapter 4 • 45 minutes
Async JavaScript
Chapter 6 • 30 minutes
Java OOP Concepts
Chapter 3 • 60 minutes
Python Data Structures
Chapter 2 • 40 minutes
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