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Course Content

Python Basics Integration Plan #

Python Basics- [Introduction to Python](#introduction-to-python) - [Variables and Data Types](/docs/python/variables-data-types) - [Control Structures](/docs/python/control-structures) - [Functions](/docs/python/functions) - [Lists and Dictionaries](/docs/python/lists-dictionaries) - [Object-Oriented Programming Basics](/docs/python/oop-basics)

Introduction to Python #

  • What is Python?
  • Installing Python and setting up the environment
  • Writing and running your first Python program

Variables and Data Types #

  • Declaring variables
  • Basic data types: int, float, string, boolean
  • Type conversion

Control Structures #

  • If-else statements
  • For loops
  • While loops

Functions #

  • Defining and calling functions
  • Parameters and return values
  • Scope and namespaces

Lists and Dictionaries #

  • Creating and manipulating lists
  • List comprehensions
  • Working with dictionaries

Object-Oriented Programming Basics #

  • Classes and objects
  • Attributes and methods
  • Inheritance and polymorphism

3. Integration with Main Curriculum #

  • At the beginning of each algorithm topic, include a “Prerequisites” section that links to relevant Python basics.
  • When introducing new Python concepts in the main curriculum, provide a brief explanation and link to the corresponding Python basics section for more details.

4. Practical Examples #

For each Python basics topic, include practical examples that relate to algorithms or data structures. For instance:

  • Use a list to implement a simple stack when introducing the stack data structure
  • Demonstrate how to use a dictionary to count occurrences of elements in an array

5. Mini-Projects #

After each Python basics section, include a mini-project that combines the learned concepts with simple algorithmic tasks. For example:

  • After the “Control Structures” section, create a simple number guessing game
  • After the “Lists and Dictionaries” section, implement a basic phonebook application

This approach will help beginners build a solid foundation in Python while gradually introducing them to algorithmic concepts.