/bbc-python-nov-2024

Primary LanguagePython

Python Programming Course (Comprehensive Overview)

Timings:

  • 9:30-11:00 Session 1
  • 11:00-11:15 Coffee Break
  • 11:15-12:45 Session 2
  • 12:45-1:45 Lunch Break
  • 1:45-3:15 Session 3
  • 3:15-3:30 Tea Break
  • 3:30-4:30 Session 4

Course Overview

This three-day course is designed to equip you with both foundational and advanced Python skills through a structured, hands-on approach. You’ll explore Python's core language features, dive into practical programming concepts, and gain exposure to essential libraries and tools. By the end, you'll be able to apply Python confidently across various real-world applications, bridging the gap between learning and doing with solid examples and clear best practices.

Session Topics

1. Course Introduction

  • Overview of the course structure
  • Learning objectives and outcomes
  • Introduction to Python and its significance

2. Python Introduction

  • Basic syntax and structure of Python
  • Running Python scripts and using the interactive shell
  • Writing your first Python program

3. Data Types in Python

  • Understanding Python's built-in data types
  • Working with numbers, strings, lists, tuples, and dictionaries
  • Type conversions and basic operations

4. Flow of Control

  • Conditional statements: if, elif, and else
  • Loops: for and while
  • Controlling loop execution with break, continue, and else

5. Container Types

  • Advanced data structures in Python
  • Working with lists, sets, and dictionaries
  • Understanding and using list comprehensions

6. Functions

  • Defining and calling functions
  • Function arguments, return values, and scope
  • Lambda functions and functional programming concepts

7. Further Functions

  • Recursion and higher-order functions
  • Decorators and closures
  • Practical examples and use cases

8. Classes and Object-Oriented Programming

  • Introduction to classes and objects
  • Defining classes and creating instances
  • Understanding self, constructors, and methods

9. Operator Overloading

  • Customizing the behavior of Python's operators
  • Implementing special methods like __add__, __sub__, and __eq__
  • Practical applications of operator overloading

10. Inheritance

  • Principles of inheritance in Python
  • Creating subclasses and extending base class functionality
  • Method overriding and the use of super()
class TemperatureReading(Temperature, Reading):

11. Modules

  • Organizing code into modules
  • Importing and using Python's standard and third-party libraries
  • Best practices for module design and usage

12. Error Handling

  • Exception handling in Python with try, except, finally
  • Raising exceptions and custom exception classes
  • Debugging and error management strategies

13. Testing

  • Writing tests in Python using unittest and pytest
  • Test-driven development (TDD) principles
  • Mocking and coverage analysis

14. File Handling

  • Reading from and writing to files
  • Working with CSV, JSON, and other file formats
  • Best practices for file I/O operations

15. Matplotlib (Optional)

  • Introduction to data visualization with Matplotlib
  • Creating basic plots, charts, and graphs
  • Customizing and exporting visualizations

16. Generators (Optional)

  • Understanding Python generators and yield
  • Creating and using generator functions
  • Practical examples of using generators for efficiency