5:
8-Week Python Learning Plan
Overview
This plan is designed to help you build a strong foundation in Python and progress toward
writing functional code. Each week has specific topics, resources, exercises, and milestones.
You’ll start with the basics and gradually tackle advanced concepts, ending with a capstone
project.
Week 1: Python Basics
Goals: Get familiar with Python syntax, variables, data types, and basic operations.
Topics:
Installing Python and setting up your environment.
Writing your first Python script.
Variables, data types, and type conversions.
Input and output functions.
Basic arithmetic and string manipulation.
Resources:
Python.org Official Documentation
FreeCodeCamp: Python for Beginners
Exercises:
Write a program to print "Hello, World!".
Create a program that calculates the area of a rectangle from user input.
Experiment with string concatenation and slicing.
Milestone: Write a script that takes user input, performs a calculation, and displays the result.
Week 2: Control Flow
Goals: Master conditional statements and loops.
Topics:
if, elif, and else statements.
Logical and comparison operators.
for and while loops.
Using break and continue.
Resources:
W3Schools: Python Control Flow
Real Python: For and While Loops
Exercises:
Create a program that checks if a number is positive, negative, or zero.
Write a program to print the multiplication table of a given number.
Develop a guessing game where the user must guess a number between 1 and 10.
Milestone: Build a program that performs a task using both loops and conditional statements.
Week 3: Functions and Modules
Goals: Learn how to write reusable code using functions and modules.
Topics:
Defining and calling functions.
Function arguments and return values.
Importing modules and using built-in libraries.
The concept of scopes (local and global).
Resources:
Python Crash Course: Functions
Programiz: Python Functions
Exercises:
Write a function to calculate the factorial of a number.
Create a program that converts temperatures between Celsius and Fahrenheit.
Use the math module to calculate the area of a circle.
Milestone: Create a program with multiple functions, each solving a specific sub-problem.
Week 4: Data Structures
Goals: Understand and manipulate lists, tuples, dictionaries, and sets.
Topics:
Lists and list comprehensions.
Tuples and their immutability.
Dictionaries and working with key-value pairs.
Sets and basic set operations.
Resources:
GeeksforGeeks: Python Data Structures
Real Python: Data Types
Exercises:
Write a program to find the largest and smallest numbers in a list.
Develop a dictionary to store student names and grades, then retrieve information.
Use sets to find the union and intersection of two groups.
Milestone: Implement a simple address book using dictionaries.
Week 5: File Handling
Goals: Learn to read, write, and manage files in Python.
Topics:
Reading from and writing to text files.
Working with CSV files using the csv module.
Exception handling for file operations.
Resources:
Programiz: Python File Handling
Real Python: Working With Files
Exercises:
Write a program to count the number of lines in a text file.
Create a program to store user input in a file and read it back.
Use the csv module to parse and analyze data from a CSV file.
Milestone: Build a program that processes a CSV file and generates a summary report.
Week 6: Object-Oriented Programming (OOP)
Goals: Understand and implement classes and objects.
Topics:
Classes, objects, and methods.
The self keyword and constructor method.
Inheritance and polymorphism.
Encapsulation and abstraction.
Resources:
Real Python: OOP in Python
Corey Schafer: OOP Tutorial
Exercises:
Create a Person class with attributes like name and age and methods like introduce.
Implement a program with class inheritance (e.g., Employee inheriting from Person).
Write a program modeling a basic banking system with accounts and transactions.
Milestone: Design and implement a class-based system with multiple interacting objects.
Week 7: Working with Libraries
Goals: Explore popular Python libraries and their use cases.
Topics:
Using datetime for date/time operations.
Introduction to pandas for data analysis.
Visualization basics with matplotlib.
Resources:
Pandas Documentation: Getting Started
Matplotlib Documentation: Tutorials
Exercises:
Create a program that calculates and displays the day of the week for any given date.
Use pandas to analyze and clean a dataset.
Plot a simple line chart using matplotlib.
Milestone: Analyze a dataset and create a basic visualization using Python libraries.
Week 8: Capstone Project
Goals: Apply everything you’ve learned to build a complete project.
Project Ideas:
To-Do List App: Allow users to add, view, and delete tasks, saving data to a file.
Weather Tracker: Fetch and display weather data using an API.
Personal Budget Tracker: Manage expenses and generate reports with visualizations.
Steps:
1. Plan the project, including features and design.
2. Break it into smaller components.
3. Implement features incrementally.
Final Milestone: Present a polished project with documentation and share it (e.g., GitHub or
your Telegram channel).
Actionable Advice for Progress
Practice Daily: Dedicate at least 1–2 hours a day for consistent learning.
Ask Questions: Use platforms like Stack Overflow or Python forums.
Review Regularly: Revisit past concepts to strengthen retention.
Collaborate: Share your progress on your Telegram channel for feedback.
Build Projects: Start small, then scale complexity.
