Python Revision Tour I This chapter serves as a refresher for Python programming concepts. We will revisit fundamental topics and reinforce your understanding of Python syntax, data types, control flow, and basic algorithms.

Python Revision Tour II Building upon the foundation laid in the first revision tour, this chapter delves deeper into advanced Python concepts. You will explore topics such as object-oriented programming, modules, error handling, and advanced data structures.

Working With Functions In this chapter, you will learn how to define and use functions effectively in Python. We will cover function parameters, return values, variable scope, and best practices for writing modular and reusable code.

Using Python Libraries Python offers a vast ecosystem of libraries that extend its capabilities. This chapter introduces you to commonly used libraries and demonstrates how to leverage them for tasks such as data manipulation, visualization, scientific computing, and more.

File Handling and Recursion File handling is a crucial skill for working with external data. In this chapter, you will learn how to read from and write to files using Python. Additionally, we will explore the concept of recursion, which is a powerful technique for solving complex problems.

Data Structure I: Linear Lists This chapter focuses on the study of linear data structures. You will learn about arrays, linked lists, and their variations, along with the algorithms used to manipulate and traverse these structures efficiently.

Data Structure II: Stacks & Queues Stacks and queues are essential data structures that facilitate various operations. In this chapter, we will explore the implementation and applications of stacks and queues, including their common operations and relevant algorithms.

Communication and Network Concepts Understanding communication and network concepts is crucial in today's interconnected world. This chapter provides an introduction to networking fundamentals, including protocols, IP addressing, network topologies, and communication models.

Relational Databases: Table Creation and Data Manipulation Commands Relational databases play a significant role in managing structured data. This chapter introduces the fundamental concepts of relational databases, including table creation, data manipulation commands, and an overview of database management systems.

Simple Queries in SQL Structured Query Language (SQL) is a standard language for interacting with relational databases. In this chapter, you will learn how to write basic SQL queries to retrieve and filter data from tables.

Grouping, Records, Joins in SQL Building upon the knowledge of SQL queries, this chapter focuses on more advanced SQL topics. You will learn about grouping data, working with records, and performing joins to combine data from multiple tables.

Interface Python with MySQL Python can seamlessly integrate with MySQL databases. In this chapter, you will discover how to connect Python with a MySQL database, execute SQL queries from Python code, and handle the retrieved data.