Learn Python

This Free online Python course offers a structured learning path from beginner to advanced levels. Whether you’re new to programming or looking to enhance your skills, this course covers everything from basic syntax to advanced topics like machine learning and web development. With practical projects and expert instruction, you’ll gain the knowledge and confidence to excel in Python programming.

Are you ready to embark on an exciting journey into the world of Python programming? Our Complete Python Course is designed for everyone—from absolute beginners to those looking to advance their skills. With a focus on practical applications and real-world projects, you’ll learn how to harness the power of Python to solve problems and create innovative solutions.

What You Will Learn from Free online Python course

• Introduction to Python: Understand the basics of Python programming, including installation, syntax, and data types.
• Control Structures: Dive into conditional statements, loops, and how to control the flow of your programs.
• Data Structures: Learn about lists, tuples, dictionaries, and sets, and how to manipulate them effectively.
• Functions and Modules: Master the art of writing reusable code with functions and learn how to organize your code into modules.
• Object-Oriented Programming (OOP): Discover the principles of OOP and how to create classes and objects in Python.
• File Handling: Learn how to read from and write to files, enabling you to work with data efficiently.
• Web Development: Get introduced to web frameworks like Flask and Django to build dynamic web applications.
• Data Analysis and Visualization: Utilize libraries like Pandas and Matplotlib to analyze and visualize data.
• Machine Learning Basics: Explore the fundamentals of machine learning with libraries such as Scikit-Learn and TensorFlow.
• Advanced Topics: Delve into decorators, regular expressions, and more to enhance your Python skills.

Course Features:

• Hands-On Projects: Apply what you learn through practical projects that reinforce your skills.
• Expert Instructors: Learn from experienced professionals who are passionate about teaching and mentoring.
• Flexible Learning: Study at your own pace with lifetime access to course materials and updates.
• Community Support: Join a vibrant community of learners to share knowledge, ask questions, and collaborate on projects.

Who Should Enroll?

• Beginners with no prior programming experience
• Students and professionals looking to enhance their programming skills
• Anyone interested in pursuing a career in data science, web development, or software engineering

Start Your Python Journey Today!

Course Structure

Module 1: Introduction to Python

• Week 1: Getting Started
  • Overview of Python and its applications
  • Installing Python and setting up the development environment (IDEs like PyCharm, VSCode)
• Week 2: Python Basics
  • Data types (integers, floats, strings, booleans) Part 1
  • Data types (integers, floats, strings, booleans) Part 2
  • Variables and constants
  • Basic input/output operations (Part 1)
  • Basic input/output operations (Part 2)
  • Comments
  • Documentation (Part 1)
  • Documentation (Part 2)

Module 2: Control Structures

• Week 3: Conditional Statements
  • If, elif, and else statements
  • Nested conditionals
  • Practical exercises
• Week 4: Loops
  • For loops
  • while loops
  • Break statements
  • Continue statements

Module 3: Data Structures

• Week 5: Lists and Tuples
  • Creating and manipulating lists
  • Understanding tuples and their uses(part 1)
  • Understanding tuples and their uses(part 2)
  • List comprehensions
• Week 6: Dictionaries and Sets
  • Creating and using dictionaries
  • Understanding sets and their applications

Module 4: Functions and Modules

• Week 7: Functions
  • Defining and calling functions
  • Function parameters and return values
  • Scope and lifetime of variables
• Week 8: Modules and Packages
  • Importing and using modules
  • Creating your own modules
  • Understanding Python packages and the Package Index (PyPI)

Module 5: Object-Oriented Programming (OOP)

• Week 9: Introduction to OOP
  • Understanding classes and objects
  • Attributes and methods
  • The __init__ method
• Week 10: Advanced OOP Concepts
  • Inheritance and polymorphism
  • Encapsulation and abstraction
  • Practical OOP project

Module 6: File Handling and Exceptions

• Week 11: File I/O
  • Reading from and writing to files
  • Working with different file formats (CSV, JSON)
• Week 12: Exception Handling
  • Understanding exceptions and error handling
  • Using try, except, finally blocks
  • Raising exceptions

Module 7: Advanced Topics

• Week 13: Introduction to Libraries
  • Overview of popular libraries (NumPy, Pandas, Matplotlib)
  • Data manipulation with Pandas
  • Data visualization with Matplotlib
• Week 14: Web Development with Flask
  • Setting up a Flask application
  • Routing and templates
  • Building a simple web application

Module 8: Final Projects

• Python Projects

Python Interview Questions

• 100 Essential Python Interview Questions Every Programmer Should Know

Course Features

• Interactive Coding Exercises: Hands-on coding challenges after each module.
• Quizzes: Assess understanding at the end of each week.