Introduction to Python Programming

This two-day workshop teaches Python programming fundamentals, including syntax, data structures, functions, and real-world application through theoretical learning and hands-on exercises.

Introduction to Python Programming

Over the course of two days, this workshop immerses participants in the foundational principles of Python programming. Combining theoretical instruction with hands-on exercises, attendees acquire a robust grasp of Python syntax, data structures, and functions, along with practical applications in real-world contexts. By engaging in interactive learning experiences, participants develop the skills and confidence to leverage Python effectively for diverse purposes, laying a strong groundwork for further exploration and proficiency in programming.

Course Title

Introduction to Python Programming

Duration

2 Days

Workshop Description

This two-day workshop is designed to introduce participants to the fundamentals of Python programming. Through a mix of theoretical learning and hands-on exercises, attendees will gain a solid understanding of Python syntax, data structures, functions, and how to apply them in real-world scenarios.

Who should attend?

  • Beginners with little or no prior experience in programming.
  • Professionals looking to add Python to their skill set.
  • Anyone interested in learning a versatile and widely-used programming language.

Learning Objectives

  • Understand the basics of Python syntax and data structures.
  • Gain proficiency in writing Python code for various applications.
  • Apply Python concepts to solve real-world problems.

Outlines

Day 1: Python Basics

Module 1: Introduction to Python

  • Overview of Python and its applications
  • Setting up the Python environment

Module 2: Python Fundamentals

  • Variables, data types, and basic operations
  • Control structures: loops and conditional statements

Module 3: Data Structures in Python

  • Lists, tuples, dictionaries, and sets
  • Working with these data structures: manipulation and iteration

Module 4: Functions and Modules

  • Writing functions in Python
  • Importing and using modules

 

Day 2: Applying Python

Module 5: File Handling and Exception Handling

  • Reading from and writing to files in Python
  • Handling exceptions and errors in Python programs

Module 6: Object-Oriented Programming (OOP) in Python

  • Introduction to OOP concepts: classes and objects
  • Implementing OOP principles in Python

Module 7: Working with Libraries and Packages

  • Overview of popular Python libraries (e.g., NumPy, Pandas)
  • Using external libraries for data analysis or other applications

Module 8: Real-World Applications and Case Studies

  • Practical exercises and projects applying Python concepts
  • Case studies demonstrating Python’s application in different industries

Module 9: Recap and Action Planning

  • Review of key concepts
  • Developing a personal action plan for ongoing improvement