🪴 TJ's Notes 1.0

Python Guide

2 min read

Week 1: Python Basics and Core Concepts

Lecture 1: Introduction to Python

  • What is Python? Why learn it?
  • Setting up the Python environment (Install Python, IDEs like VS Code or PyCharm)
  • Writing the first Python program (Hello, World!)
  • Introduction to Python syntax: variables, data types (int, float, string, boolean)
  • Introduction To Python

Lecture 2: Control Flow and Loops

  • Conditionals: if, elif, else
  • Loops: for and while loops
  • Using break and continue
  • Introduction to range() function

Lecture 3: Functions

  • Defining functions with def
  • Parameters and return values
  • Function scope (local vs global variables)
  • Lambda functions

Lecture 4: Data Structures

  • Lists: creation, indexing, slicing, and common operations
  • Tuples: creation, immutability, and basic operations
  • Dictionaries: key-value pairs, methods, and operations
  • Sets: uniqueness, adding/removing elements

Lecture 5: String Manipulation and File I/O

  • String operations: concatenation, slicing, formatting
  • String methods (e.g., split(), join(), replace(), lower(), upper())
  • File operations: open, read, write, close
  • Exception handling with try, except

**Lecture 6: Object-Oriented Programming (OOP) Basics ( OPTIONAL ) **

  • Introduction to classes and objects
  • Attributes and methods
  • Constructors (__init__ method)
  • Inheritance and polymorphism

Lecture 7: Review and Practice

  • Recap all concepts covered
  • Answer questions and clear doubts
  • Mini-project or simple exercises to reinforce learning

Week 2: Advanced Concepts and Problem Solving

Lecture 1: More on Functions and Libraries

  • More on functions: recursion
  • Introduction to Python standard libraries (e.g., math, random, time)
  • Using libraries in practice (importing, calling functions)

Lecture 2: Modules and Packages

  • Creating and importing modules
  • Understanding Python packages
  • Project structure: creating simple Python projects

Lecture 3: Introduction to Data Structures (Advanced)

  • List comprehensions
  • Nested data structures (lists within lists, dictionaries within lists, etc.)
  • Introduction to algorithms (sorting and searching)

Lecture 4: Problem-Solving and Practice

  • Solving simple coding problems (e.g., Fibonacci sequence, prime numbers)
  • Walkthrough of solutions with explanations

Lecture 5: Project Day

  • Work on a small project, like a number guessing game, a to-do list app, or a simple calculator

Lecture 6-7: Practice

  • Solve problems on online coding platforms like LeetCode, Codewars, or HackerRank
  • Focus on improving problem-solving skills and building confidence

This plan allows you to balance teaching the basics with some hands-on practice, preparing your friend for solving problems independently by

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