Python Fundamentals

Overview:

In this chapter, participants will learn about the different data types available in Python. They will practice working with numbers, strings, booleans, and more, while also exploring built-in functions that help manipulate and analyze data effectively.

Topics to Cover:

• Learning and working with various data types
• Understanding and applying built-in functions

Overview:

In this chapter, participants will explore Python’s core data structures, such as lists, tuples, sets, and dictionaries. They will understand how these structures store and organize data and how to apply built-in functions to manipulate them.

Topics to Cover:

• Learning and working with various data structures
• Understanding built-in functions for data structures

Overview:

In this chapter, participants will learn how to control the flow of their Python programs using conditional statements and loops. They will understand the importance of indentation and practice writing for-loops and while-loops to automate repetitive tasks.

Topics to Cover:

• Writing if/else statements
• Understanding the importance of indentation
• Using for loops and while loops

Overview:

In this chapter, participants will learn how to read and write files in Python. They will practice working with absolute and relative paths, explore different file types, and apply best practices when handling data files.

Topics to Cover:

• Absolute vs. relative file paths
• Common file types in Python (e.g., .txt, .csv)
• Best practices for working with data files

Overview:

In this chapter, participants will learn how to define and use their own functions in Python. They will explore variable scopes, function parameters, and how to structure reusable code effectively.

Topics to Cover:

• Writing user-defined functions
• Understanding scopes of variables
• Exploring different types of parameters

Overview:

In this chapter, participants will work with Python’s built-in modules and learn how to create their own. They will explore commonly used modules that extend Python’s functionality.

Topics to Cover:

• Creating custom modules
• Working with commonly used Python modules

Overview:

In this chapter, participants will learn how to organize and reuse code by creating packages. They will understand how to use the __init__.py file to structure packages effectively.

Topics to Cover:

• Creating and using packages
• Using chapters with __init__.py

Overview:

In this chapter, participants will be introduced to object-oriented programming in Python. They will learn how to define classes, create objects, and understand the steps involved in building reusable, structured code.

Topics to Cover:

• Creating objects
• Understanding the steps in defining a class

Overview:

In this chapter, participants will learn how to handle errors in Python using exceptions. They will explore why error handling is important and how to write programs that fail gracefully.

Topics to Cover:

• What is error handling?
• Why error handling is important
• Implementing exceptions in Python

Overview:

In this chapter, participants will review and reinforce the key concepts learned in previous chapters. They will complete a quiz and practice building functions that combine multiple elements of Python fundamentals.

Topics to Cover:

• Reviewing concepts taught in previous chapters
• Creating and working with functions in practice