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 foundation for further exploration and proficiency in programming.

Workshop Description

This 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.

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

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