Types of Functions Based on Arguments
Program 1: Simple Addition of Two Numbers Program: def add(a, b): """Add two numbers using positional arguments.""" return a + b # Test the function print("Sum of 5 and 7:", add(5, 7)) Expected Output: Sum of 5 and 7: 12 Program 2: Calculate the Difference Between Two Numbers Program: def subtract(a, b): """Subtract the second…
Chapter 23 – Advanced Data Structures
Chapter 23: Advanced Data Structures Advanced data structures are crucial for solving complex computational problems efficiently. They allow us to manage data in a way that reduces the time complexity of operations such as searching, updating, and querying large datasets. In this chapter, we will focus on three key advanced data structures: Hash Tables Tries…
Chapter 22 – Advanced Graph Algorithms
Chapter 22: Advanced Graph Algorithms In this chapter, we delve deeper into Advanced Graph Algorithms that are essential for solving complex problems related to graph traversal, connectivity, and more. These algorithms are foundational in many computer science applications, from navigating networks to solving puzzles and finding connected components. We will explore the following topics: Depth-First…
Chapter 21 – Graph Algorithms
Chapter 21: Graph Algorithms Welcome back! In this chapter, we’ll explore Graph Algorithms, which are crucial in solving problems related to networks, connections, and paths. These algorithms help us navigate through graphs and solve problems like finding the shortest path, traversing graphs, and much more. We’ll focus on two widely-used algorithms for solving problems involving…
Chapter 19 – Advanced Graph Algorithms
Chapter 19: Advanced Graph Algorithms Welcome to Chapter 19, where we’ll explore some of the more advanced algorithms used in graph theory. These algorithms are crucial for solving complex problems related to networks, paths, and flows. In this chapter, we will cover: Shortest Path Algorithms: Dijkstra’s Algorithm Bellman-Ford Algorithm Maximum Flow Algorithms: Ford-Fulkerson Method Edmonds-Karp…
Chapter 18 – Greedy Algorithms
Chapter 18: Greedy Algorithms Welcome to Chapter 18, where we’ll dive into the fascinating world of Greedy Algorithms. A Greedy Algorithm works by making the best decision at each step, aiming to reach an optimal solution. The idea is simple: take the immediate advantage without worrying about the future. While this may sound risky, greedy…
Chapter 17 – Advanced Sorting Algorithms
Chapter 17: Advanced Sorting Algorithms Welcome back, dear reader! Now that we’ve dipped our toes into the world of simple sorting algorithms, it’s time to dive a little deeper. In this chapter, we’ll explore some more powerful sorting algorithms that are designed to handle larger datasets efficiently. Before we jump in, take a moment to…
Chapter 16 – Sorting Algorithms
Chapter 16: Sorting Algorithms Sorting algorithms are fundamental in computer science and are used in nearly every application that involves data. Sorting helps in arranging data in a specific order, usually ascending or descending, making data retrieval and manipulation easier. In this chapter, we will explore various sorting algorithms, their logic, code implementations, and analyze…
Chapter 15 – Searching Algorithms
Chapter 15: Searching Algorithms Introduction Searching and sorting algorithms are crucial in Data Structures and Algorithms (DSA) because they help us organize and access data efficiently. Whether you’re building a search engine, a database, or even a simple contact list, you’ll need to understand these algorithms deeply. This chapter focuses on two important tasks: Searching:…
Chapter 14 – Tree Traversal Methods
Chapter 14: Tree Traversal Methods In this chapter, we will explore Tree Traversal Methods, which are vital for accessing and processing the data stored in tree structures. Trees are non-linear data structures that represent hierarchical relationships, making traversing them crucial for various applications, such as searching, sorting, and modifying data. Traversing a tree means visiting…
