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Testing is a crucial part of software development. It ensures that your code is reliable, efficient, and bug-free before deployment. In this lesson, we will explore unit testing in Python using the built-in unittest module. 1. Why Testing is Important? What is Unit Testing? Unit Testing is the process of testing individual functions or components […]

Data Science is one of the most exciting and in-demand fields today. Python, with its powerful libraries, is a go-to language for data analysis, visualization, and machine learning. In this lesson, we will explore the fundamentals of Data Science using Pandas, NumPy, and Matplotlib. 1️⃣ Understanding Data Science What is Data Science? Data Science is

Python’s versatility extends to web development, offering powerful frameworks that make it easier to build dynamic, scalable, and feature-rich web applications. This lesson introduces the basics of web development with Python, focusing on the Flask framework. 1. Python Frameworks for Web Development Python provides several frameworks to simplify web development. The two most popular are:

In this lesson, we’ll explore how to interact with APIs in Python, enabling applications to exchange data and functionality over the web. What is an API? Setting Up for API Interaction Use json library for handling JSON responses. HTTP Methods in APIs Making API Requests 1. GET Request 2. POST Request 3. Using Headers Handling

This lesson focuses on managing external libraries and creating isolated environments for Python projects to maintain dependencies effectively. Topics Covered: Introduction to Virtual Environments Creating and Activating Virtual Environments Mac/Linux Managing Dependencies Installing dependencies from requirements.txt Code Examples 1. Installing and Using a Library 2. Creating and Activating a Virtual Environment Windows: Mac/Linux: 3. Managing

Python modules and packages allow you to organize and reuse your code efficiently, making your programs modular and scalable. In this lesson, we’ll explore how to work with modules and packages in Python. 1. What Are Modules in Python? A module is a single Python file containing definitions and statements. You can reuse these across

1. Introduction to OOP 2. Key OOP Concepts in Python 3. Defining Classes and Creating Objects 4. The __init__ Method 5. Inheritance 6. Encapsulation 7. Polymorphism 8. Working with super() 9. Special (Magic) Methods

1. Introduction to File Handling 2. Modes for File Handling 3. Reading Files 4. Writing to Files Appending data: 5. Using the with Statement 6. Handling Exceptions 7. Working with File Paths 8. Reading and Writing CSV Files

Python collections are data structures that allow you to store and manipulate groups of data effectively. In this lesson, we’ll explore the four primary types of collections in Python: Lists, Tuples, Sets, and Dictionaries. 1. Lists Lists are ordered, mutable collections that can hold a variety of data types. Key Features: Syntax: Common Operations: 2.

Functions are one of the most important building blocks in Python programming. They allow you to write reusable, modular, and organized code. In this lesson, we’ll cover the basics of defining, calling, and working with functions. 1. What Are Functions? A function is a block of organized, reusable code that performs a specific task. Functions