What You’ll Learn:

Write Python Code with Confidence
Master Python programming for various applications.

Build Web Applications with Django
Learn to create dynamic websites using Python and Django.

Automate Tasks and Data Handling
Automate repetitive tasks and process files like CSV, JSON, and PDFs.

Machine Learning and Data Science
Apply Python to solve real-world machine learning and data science problems.

Build Practical Tools
Create web scrapers, command-line utilities, and automate UI testing.

Course Breakdown:

Lesson 1: Getting Started
Set up your Python environment and tools for development.

Lesson 2: Getting Started with Python
Learn the fundamentals of Python programming.

Lesson 3: Primitive Types
Understand basic data types like integers, strings, and booleans.

Lesson 4: Control Flow
Learn how to use conditions and loops to control program flow.

Lesson 5: Functions
Master defining and using functions to organize your code.

Lesson 6: Data Structures
Learn about lists, dictionaries, sets, and tuples for data storage.

Lesson 7: Exceptions
Understand how to handle errors and exceptions in your programs.

Lesson 8: Classes
Learn the principles of object-oriented programming by creating and using classes.

Lesson 9: Modules
Organize your code into reusable modules.

Lesson 10: Python Standard Library
Explore the built-in libraries Python offers for common tasks.

Lesson 11: Python Package Index
Learn how to install and manage Python packages from the PyPI repository.

Lesson 12: Popular Python Packages
Get familiar with commonly used packages like NumPy, Pandas, and Requests.

Lesson 13: Building Web Applications with Django
Learn how to build full-stack web applications using Django.

Lesson 14: Machine Learning with Python
Get hands-on with machine learning techniques using Python libraries like scikit-learn.

Who Is This Course For?

• Beginners who want to become confident Python developers.
• Developers looking to expand their Python skills and apply them to real-world projects.
• Anyone interested in automating tasks, building web applications, and diving into machine learning with Python.
• Problem-solvers looking to build practical tools like web scrapers and command-line utilities.