Python Learning Roadmap

Join This Class on GitHub : https://github.com/koachsahab/LearnPython

Python Learning Roadmap

Phase 1: Getting Started (Week

1-2)

Goal: Understand Python basics and set up the environment.

• Install Python & Jupyter Notebook/VS Code

• Learn about print(), variables, and data types

• Understand input() and output() functions

• Work with basic operators (arithmetic, comparison, logical)

• Write simple Hello World! and user-input programs

Practice Tasks:

• Print your name and age

• Create a simple calculator

• Convert temperature from Celsius to Fahrenheit

• Swap two numbers without using a third variable

• Find the square and cube of a number

• Check if a number is positive, negative, or zero

• Take user input and display its type

Phase 2: Control Flow & Loops (Week 3-4)

Goal: Learn how to make decisions and repeat tasks.

• Conditional statements (if, elif, else)

• Loops: for, while (with break and continue)

• Use of range() function

• Nested loops and patterns

Practice Tasks:

• Check if a number is even or odd

• Find the largest of three numbers

• Print patterns like a pyramid using loops

• Print the Fibonacci series up to n terms

• Count the number of vowels in a string

• Generate a multiplication table for a given number

• Find the sum of digits of a number

• Reverse a given number

Phase 3: Data Structures (Week 5-6)

Goal: Understand how to store and manipulate data effectively.

• Lists (indexing, slicing, adding/removing elements)

• Tuples & Sets

• Dictionaries (key-value pairs)

• String manipulations

Practice Tasks:

• Find the sum of all elements in a list

• Count occurrences of a word in a sentence

• Sort a dictionary by values

• Remove duplicates from a list

• Reverse a string without using built-in functions

• Find the maximum and minimum values in a list

• Merge two dictionaries

• Convert a list into a tuple and vice versa

• Check if a given string is a palindrome

Phase 4: Functions & Modules (Week 7-8)

Goal: Learn modular programming for better code organization.

• Defining functions and using parameters

• Return values and recursion

• Importing built-in & user-defined modules

• File handling (read/write)

Practice Tasks:

• Create a function to check if a number is prime

• Write a function to calculate the factorial of a number

• Read and write data from a file

• Create a function to find the GCD of two numbers

• Implement a simple calculator using functions

• Write a function to check if a string is an anagram

• Create a function that returns the nth Fibonacci number

Phase 5: Object-Oriented Programming (Week 9-10)

Goal: Understand how to use OOP concepts.

• Classes and Objects

• Constructors (__init__ method)

• Inheritance and Polymorphism

Practice Tasks:

• Create a class for a bank account with deposit/withdraw functions

• Implement a student database using objects

• Design a class for a shopping cart system

• Implement a class for a library management system

• Create a class to store and manipulate complex numbers

• Design a simple Employee Management System

Phase 6: Working with Libraries (Week 11-12)

Goal: Use popular Python libraries for real-world applications.

• NumPy for numerical computing

• Pandas for data analysis

• Matplotlib for data visualization

Practice Tasks:

• Load a dataset and analyze it using Pandas

• Plot a graph of student marks using Matplotlib

• Perform matrix operations using NumPy

• Create a bar chart of sales data

• Find the mean, median, and mode of a dataset using Pandas

• Generate random numbers and analyze their distribution

Phase 7: Mini Projects (Week 13-14)

Goal: Apply the knowledge to real-world problems.

• Choose 2-3 mini projects:

  • To-Do List App

  • Simple Quiz Game

  • Weather App using API

  • Expense Tracker

  • Password Generator

  • Contact Book using dictionaries

  • URL Shortener

  • Rock-Paper-Scissors Game

Final Phase: Capstone Project (Week 15-16)

Goal: Build a full-fledged project using Python.

• Some ideas:

  • Chatbot using Python

  • Library Management System

  • Data Analysis on COVID-19 dataset

  • Face Recognition System

  • E-commerce Product Recommendation System

  • Automated Resume Screening System

  • Stock Market Prediction Model