Python Programming for Beginners to Advanced

About Course

This comprehensive course takes you on a complete journey through Python programming—from the very basics to advanced concepts. Whether you are a beginner with no prior coding experience or someone looking to strengthen your Python skills, this course is designed to make learning engaging, practical, and easy to follow.

You will start with fundamental programming concepts, Python syntax, and data types, and gradually move to advanced topics such as object-oriented programming, file handling, modules, libraries, web scraping, and working with databases. Throughout the course, you will solve real-world problems, complete hands-on projects, and build a strong foundation for your programming career.

By the end of this course, you will be confident in writing efficient Python code, automating tasks, developing applications, and exploring further in fields like web development, data science, and automation.

Who Should Enroll:

Absolute beginners with no prior programming knowledge
Students, professionals, or hobbyists wanting to learn Python
Anyone looking to enhance coding skills for career growth

Course Features:

Step-by-step learning from basics to advanced
Practical examples and projects
Hands-on exercises to reinforce learning
Real-world applications and problem-solving

Outcome:
After completing this course, you will be able to code in Python independently, build functional projects, and confidently tackle programming challenges.

Understand Python fundamentals, syntax, and data types
Write Python programs using variables, loops, and conditional statements
Work with lists, dictionaries, tuples, and sets effectively
Apply functions, modules, and packages for reusable code
Master object-oriented programming concepts in Python
Handle files, exceptions, and perform error handling
Learn to work with popular Python libraries for real-world tasks
Perform web scraping and data extraction using Python
Connect Python programs with databases and store/retrieve data
Build small projects and real-world applications to practice skills
Gain confidence to solve programming challenges independently

Course Content

Module 1: Introduction & Setup
In this module, students will get an overview of the Python programming course and understand what Python is and why it is widely used. They will learn how to install Python on their computer and set up a development environment using popular IDEs like IDLE, VS Code, or PyCharm. This module prepares students with all the necessary tools and knowledge to start writing and running Python programs effectively. Key Takeaways: Understand the purpose and scope of Python programming Set up Python on a computer or laptop Learn about different IDEs for writing Python code Gain confidence to run your first Python program

Lesson 1.1: Course Overview and Learning Outcomes
Lesson 1.2: What is Python and Why Learn It?
Lesson 1.3: Installing Python and Setting Up Development Environment
Lesson 1.4: Introduction to IDEs (IDLE, VS Code, PyCharm)

Module 2: Python Basics
In this module, students will learn the foundational concepts of Python programming. Starting from Python syntax and indentation rules, the module covers variables, data types, operators, and basic input/output operations. By mastering these core concepts, students will be able to write simple yet functional Python programs and build a strong base for more advanced topics in programming. Key Takeaways: Understand Python syntax and the importance of indentation Learn about variables, data types, and operators Perform input and output operations in Python Gain the confidence to write simple Python programs independently

Module 3: Control Flow
This module introduces students to Python’s control flow mechanisms, which allow programs to make decisions and execute code conditionally. Students will learn how to use conditional statements (if, else, elif) and loops (for and while) to control the execution of their programs. The module also covers special statements like break, continue, and pass to manage loop behavior. By the end of this module, students will be able to create dynamic programs that respond to different conditions and repeat tasks efficiently. Key Takeaways: Understand how to make decisions using conditional statements Learn to perform repetitive tasks with loops Control the flow of loops using break, continue, and pass Build programs that respond to different inputs and conditions

Module 4: Functions and Modules
This module introduces students to functions and modules, which are essential for writing reusable and organized Python code. Students will learn how to define their own functions, pass arguments, return values, and understand the scope of variables. The module also covers built-in functions, importing modules, and creating custom modules to structure code efficiently. By the end of this module, students will be able to write modular, maintainable, and scalable Python programs. Key Takeaways: Understand the concept and benefits of functions in Python Learn how to define functions and use arguments and return values Explore built-in Python functions for common tasks Understand modules and how to import/use them Write modular programs for better code organization

Module 5: Data Structures
This module introduces students to Python’s core data structures, which are essential for storing, organizing, and manipulating data efficiently. Students will learn how to work with lists, tuples, sets, dictionaries, and strings. By mastering these data structures, students will be able to handle complex data, perform operations, and write programs that are both efficient and readable. Key Takeaways: Understand the purpose and types of Python data structures Work with lists, tuples, sets, and dictionaries for storing data Perform operations like adding, removing, and accessing data Manipulate and format strings effectively for output and processing

Module 6: File Handling & Exceptions
This module introduces students to file handling and exception handling in Python, which are crucial for working with external data and building robust programs. Students will learn how to read from and write to files, manage different file modes, and handle errors gracefully using exceptions. By mastering these concepts, students can create programs that interact with files safely and recover from runtime errors efficiently. Key Takeaways: Understand how to open, read, write, and close files in Python Work with different file modes (r, w, a, rb, wb) Apply context managers (with statement) for safer file operations Understand exceptions and error handling using try, except, finally, and raise Build robust programs that handle unexpected situations gracefully

Module 7: Object-Oriented Programming
This module introduces students to Object-Oriented Programming (OOP) in Python, a powerful paradigm that helps organize code using classes and objects. Students will learn core OOP concepts like encapsulation, inheritance, and polymorphism, which enable the creation of modular, reusable, and maintainable programs. Mastering OOP is essential for building real-world applications and advanced Python projects. Key Takeaways: Understand the difference between procedural and object-oriented programming Create and use classes and objects in Python Apply key OOP concepts: Encapsulation, Inheritance, Polymorphism Organize code efficiently and build reusable components Implement OOP for practical real-world scenarios

Module 8: Advanced Python Concepts
This module covers advanced Python topics that are essential for building efficient, scalable, and professional applications. Students will learn about decorators, generators, file and data manipulation techniques, working with external libraries, and advanced error handling. Mastering these concepts prepares students for real-world Python development and advanced projects. Key Takeaways: Understand and implement decorators and generators for efficient coding Work with advanced data structures and external libraries Apply advanced file handling and exception techniques Use Python modules and packages effectively for scalable applications Develop skills required for professional Python development and real-world projects

Module 9: Advanced Topics
This module introduces students to advanced Python topics that are essential for real-world applications and professional development. Students will learn to work with built-in Python libraries, perform web scraping, interact with databases, and get an introduction to APIs. These concepts prepare students to handle more complex projects and automation tasks in Python. Key Takeaways: Use standard Python libraries like math, datetime, and random effectively Extract and process data from websites using BeautifulSoup Interact with databases using SQLite or MySQL Understand the basics of APIs for data access and integration

Module 10: Projects
This module focuses on practical Python projects that consolidate the knowledge gained throughout the course. Students will build real-world applications, implement problem-solving techniques, and gain confidence in applying Python skills independently. Key Takeaways: Apply Python concepts in real-world scenarios Develop hands-on experience with projects involving GUI, data management, and web scraping Learn project structuring, debugging, and best practices Gain confidence in creating Python applications from scratch

Module 11: Python Exercises and Practice Questions
This module contains all the practice exercises from basic to advanced Python topics in a single lesson. Students can attempt these questions to reinforce learning and prepare effectively for the final assessment.

Final Test – Python Programming Assessment
This topic is designed to evaluate your understanding of the entire Python course – from basic concepts to advanced topics and projects. The final test will help you assess your skills, reinforce learning, and earn a certificate upon scoring 70% or above. Key Points: Covers all modules: Basics, Control Flow, Functions, Data Structures, File Handling, OOP, Advanced Topics, and Projects Includes multiple-choice questions, coding exercises, and scenario-based problems Auto-graded to provide instant feedback Certificate available for students achieving 70% or higher

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About Course

What Will You Learn?

Course Content

Lesson 1.1: Course Overview and Learning Outcomes

Lesson 1.2: What is Python and Why Learn It?

Lesson 1.3: Installing Python and Setting Up Development Environment

Lesson 1.4: Introduction to IDEs (IDLE, VS Code, PyCharm)

Lesson 2.1: Python Syntax and Indentation

Lesson 2.2: Variables and Data Types

Lesson 2.3: Operators (Arithmetic, Comparison, Logical, Assignment)

Lesson 2.4: Input and Output in Python

Lesson 3.1: Conditional Statements (if, else, elif)

Lesson 3.2: Loops – for Loop

Lesson 3.3: Loops – while Loop

Lesson 3.4: Break, Continue, and Pass Statements

Lesson 4.1: Defining Functions and Function Arguments

Lesson 4.2: Return Statement and Scope of Variables

Lesson 4.3: Lambda Functions

Lesson 4.4: Python Modules and Packages

Lesson 5.1: Lists – Creation, Indexing, Methods

Lesson 5.2: Tuples – Basics and Uses

Lesson 5.3: Sets – Basics and Operations

Lesson 5.4: Dictionaries – Key-Value Pairs, Methods

Lesson 5.5: String Manipulation and Formatting

Lesson 6.1: Reading and Writing Files

Lesson 6.2: Working with Different File Modes

Lesson 6.3: Exception Handling – try, except, finally

Lesson 6.4: Raising Exceptions and Custom Errors

Lesson 7.1: Introduction to OOP Concepts

Lesson 7.2: Classes and Objects

Lesson 7.3: Attributes and Methods

Lesson 7.4: Inheritance and Polymorphism

Lesson 7.5: Encapsulation and Abstraction

Lesson 8.1: Decorators and Generators

Lesson 8.2: Advanced File and Data Handling

Lesson 8.3: Working with External Libraries (like pandas, NumPy)

Lesson 8.4: Advanced Error Handling and Logging

Lesson 8.5: Final Project – Applying All Concepts

Lesson 9.1: Working with Python Libraries (math, datetime, random)

Lesson 9.2: Web Scraping Basics (using BeautifulSoup)

Lesson 9.3: Working with Databases (SQLite/MySQL)

Lesson 9.4: Introduction to APIs (Optional for Advanced Learners)

Lesson 10.1: Mini Project 1 – Calculator Application

Lesson 10.2: Mini Project 2 – To-Do List Manager

Lesson 10.3: Mini Project 3 – Web Scraping Example

Lesson 10.4: Mini Project 4 – Database Application

Module 11: Python Exercises and Practice Questions This module contains all the practice exercises from basic to advanced Python topics in a single lesson. Students can attempt these questions to reinforce learning and prepare effectively for the final assessment.

Practice Exercises – Python Programming

Final Test / Quiz

Student Ratings & Reviews

Module 11: Python Exercises and Practice Questions
This module contains all the practice exercises from basic to advanced Python topics in a single lesson. Students can attempt these questions to reinforce learning and prepare effectively for the final assessment.