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Training Module Title: Python Programming Fundamentals

Target Audience: Beginner to intermediate users of Python programming language

Duration: 4-day workshop (6 hours per day)


The objective of this training module is to provide the participants with the necessary skills and knowledge to effectively use Python programming language. By the end of the workshop, participants should be able to:

  • Write basic Python programs

  • Use data types, operators, and control flow statements

  • Perform file I/O operations

  • Create and use functions

  • Work with Python libraries and packages

Day 1:
Session 1 - Introduction to Python

  • Overview of Python programming language

  • Setting up the Python environment

  • Writing and running Python programs

  • Working with data types, operators, and expressions

Session 2 - Control Flow Statements

  • Using conditional statements (if/else)

  • Using loops (for/while)

  • Creating and using lists, tuples, and dictionaries

Session 3 - File Input/Output Operations

  • Reading and writing files in Python

  • Using file objects and methods

  • Handling errors and exceptions


Day 2:
Session 4 - Functions in Python

  • Creating and using functions in Python

  • Understanding function arguments and return values

  • Working with lambda functions

Session 5 - Python Modules and Libraries

  • Understanding Python modules and packages

  • Importing and using modules

  • Using built-in libraries and external packages

Session 6 - Working with Strings

  • Manipulating strings in Python

  • Using regular expressions in Python

  • Formatting strings

Day 3:
Session 7 - Object-Oriented Programming in Python

  • Understanding object-oriented programming

  • Creating and using classes and objects

  • Inheritance and polymorphism in Python

Session 8 - Working with Dates and Times

  • Understanding dates and times in Python

  • Using datetime module in Python

  • Converting between datetime formats

Session 9 - Debugging and Testing

  • Debugging techniques in Python

  • Unit testing in Python

  • Using PyCharm IDE for debugging and testing


Day 4:
Session 10 - Web Development with Python

  • Overview of web development with Python

  • Working with Flask web framework

  • Creating and running a Flask application

Session 11 - Data Analysis and Visualization

  • Using NumPy and Pandas libraries for data analysis

  • Creating visualizations with Matplotlib and Seaborn libraries

Session 12 - Best Practices and Tips

  • Best practices for Python programming

  • Tips for improving code readability and maintainability

  • Strategies for managing code complexity

Delivery Method: This training module will be delivered in a hands-on, interactive workshop format. Participants will be provided with laptops equipped with Python and an integrated development environment (IDE) such as PyCharm, and will be guided through a series of exercises and activities to reinforce their learning. The trainer will also provide real-world examples and scenarios to demonstrate the practical applications of Python.

Assessment: Participants will be assessed through a series of quizzes and practical exercises throughout the workshop to gauge their understanding and application of the concepts taught. At the end of the workshop, participants will complete a final assessment to evaluate their overall proficiency in Python programming.

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