Complete Python Course

Course Description:

Welcome to “Python Programming: A Comprehensive Introduction” – a journey through the captivating world of Python. This course aims to provide learners with a thorough understanding of one of the world’s most popular and widely used programming languages. Whether you’re a budding developer, a data scientist in the making, or just someone who’s curious about programming, this course is tailored to offer insights and knowledge that can propel you forward in the tech world.

Target Audience:

• Beginners with little to no prior programming experience.
• Programmers familiar with other languages looking to transition to Python.
• Professionals from non-tech fields want to integrate Python into their skillset.

Course Objectives:

By the end of this course, participants will be able to:

1. Understand the fundamentals of Python and programming concepts.
2. Write, debug, and optimize Python code efficiently.
3. Develop a variety of applications ranging from web development to data analysis.
4. Integrate Python with other technologies and platforms.

Course Modules:

1. Python Basics
   • Introduction to Python: History & Features
   • Setting up the Python Environment
   • Basic Syntax & Variables
   • Input and Output Functions
2. Data Structures
   • Strings, Lists, Tuples, Sets, and Dictionaries
   • Basic Operations and Methods
   • Iterating and Comprehensions
3. Control Flow & Functions
   • Conditional Statements
   • Loops: For & While
   • Functions: Definition, Arguments, Return, and Scope
4. Modules and Packages
   • Standard Libraries
   • Installing External Packages (pip)
   • Creating Custom Modules
5. Object-Oriented Programming
   • Classes and Objects
   • Inheritance and Polymorphism
   • Encapsulation and Abstraction
6. Exception Handling & File Operations
   • Handling Exceptions
   • Reading and Writing Files
   • Working with Directories
7. Advanced Topics
   • Generators and Decorators
   • Lambda Functions
   • List, Set, and Dictionary Comprehensions
8. Introduction to Web Development with Python
   • Flask & Django: Overview
   • Building a Simple Web Application
9. Data Manipulation & Analysis
   • Introduction to Pandas and Numpy
   • Basic Data Analysis Techniques
10. Final Project

• Guided development of a project incorporating key lessons from the course.

Assessment and Evaluation:

Students will be assessed through:

• Periodic quizzes and coding challenges.
• Hands-on lab exercises.
• A final project.

Duration:

• 10 weeks (2 sessions per week, 2 hours per session)
• Additional office hours for personalized queries and assistance.

By the end of this transformative course, students will be equipped with a solid Python programming foundation and ready to take on more specialized tracks or dive into real-world projects with confidence.