A fast, structured Python foundation designed specifically for GenAI learners. This repository provides a comprehensive 6-day learning path that covers essential Python concepts with a focus on practical applications for Generative AI work.

Python-for-GenAI — 6-Day Beginner Roadmap

Description

Whether you're new to programming or looking to strengthen your Python skills for AI development, this roadmap will guide you through the fundamentals step by step.

How to Use This Repository

Learning Path

Go day by day - Follow the sequence from Day 1 to Day 6
File order matters - Each day has three files in this order:
- 01_notes.md → Start here to learn the concepts
- 02_student_task.md → Practice with hands-on tasks
- 03_mini_project.md → Build a complete project
Practice examples - Run and modify the code examples as you learn
Complete assignments - Work through all tasks before moving to the next day

Getting Started

Clone or download this repository
Ensure Python is installed on your system
Start with Day01 - Python Building Blocks/01_notes.md
Create Python files to practice the examples
Complete the student tasks and mini projects

Technical Requirements

Python Version

Python 3.7 or higher recommended
Check your version: python --version or python3 --version

Required Libraries

Most libraries are built-in, but you'll need to install:

pip install requests

The following are built-in (no installation needed):

json - For JSON file operations
csv - For CSV file operations
math, random, datetime - Standard library modules

How to Run Programs

Create a Python file: filename.py
Run from terminal:
```
python filename.py
```
or
```
python3 filename.py
```
Run examples directly: Copy code from notes into a file and execute

Roadmap Overview

Day	Topic	Key Concepts
1	Python Building Blocks	Variables, Data types, f-strings, User input, Truthy & Falsy values, Operators
2	Collections & Conditions	if-else, List basics, Common list methods, Dictionaries, for loop
3	Loops & Functions	while loop, List comprehensions, Functions (def, parameters, return), Lambda functions
4	Working With Modules & Errors	Python modules (import, from-import), Exception handling (try/except/finally), HTTP Requests (GET & POST)
5	File Handling Essentials	Working with `.txt`, Working with `.json`, Working with `.csv`
6	OOP Fundamentals for GenAI	What is a class?, Objects, attributes, and methods, Constructors (`__init__`), GenAI-friendly examples

What You'll Build

Each day includes a mini project to reinforce learning:

Day 1: User Info Collector CLI
Day 2: Grocery Price Tracker
Day 3: Quiz Creator
Day 4: API Data Fetcher
Day 5: CSV-based Student Score Manager
Day 6: PromptTemplate Class System

Repository Structure

python-for-genai/
│
├── Day01 - Python Building Blocks/
│   ├── 01_notes.md
│   ├── 02_student_task.md
│   └── 03_mini_project.md
│
├── Day02 - Collections & Conditions/
│   ├── 01_notes.md
│   ├── 02_student_task.md
│   └── 03_mini_project.md
│
├── Day03 - Loops & Functions/
│   ├── 01_notes.md
│   ├── 02_student_task.md
│   └── 03_mini_project.md
│
├── Day04 - Working With Modules & Errors/
│   ├── 01_notes.md
│   ├── 02_student_task.md
│   └── 03_mini_project.md
│
├── Day05 - File Handling Essentials/
│   ├── 01_notes.md
│   ├── 02_student_task.md
│   └── 03_mini_project.md
│
├── Day06 - OOP Fundamentals for GenAI/
│   ├── 01_notes.md
│   ├── 02_student_task.md
│   └── 03_mini_project.md
│
└── README.md

Learning Tips

Don't rush - Take your time with each concept
Code along - Type out examples instead of just reading
Experiment - Modify examples to see what happens
Practice daily - Consistency beats intensity
Ask questions - If something doesn't make sense, review the notes
Complete projects - The mini projects are crucial for understanding

Prerequisites

Basic computer literacy
Ability to install software
Text editor or IDE (VS Code, PyCharm, or any text editor)
Internet connection (for Day 4 API examples)

No prior programming experience required!

Additional Resources

While this repository is self-contained, you may find these helpful:

Python Official Documentation
Python Tutorial
Practice platforms: HackerRank, LeetCode, Codewars

Credits

Created by Chandra Sekhar.

Connect with me on LinkedIn.

License

This repository is provided for educational purposes. Feel free to use, modify, and share.

Ready to start your Python journey? Begin with Day 1! 🚀