Skip to content

Latest commit

 

History

19 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 
 
 

Repository files navigation

🐍 Zero To Hero Python

Your Ultimate Roadmap to Data Science

Python Version License GitHub Stars PRs Welcome


🎯 Goal: Master Data Science through clean code, structured learning, and hands-on projects!


📌 About The Repository

Zero_To_Hero_Python is a comprehensive, structured roadmap designed to take you from a complete beginner in Data Science to writing production-ready code for Data Science.

It emphasizes clean code practices, algorithmic problem-solving, and project-based learning.


🗺️ What You'll Learn (The Curriculum)

📊 Phase 1: Data Manipulation, Wrangling & EDA
  • NumPy: Vectorized operations, N-dimensional arrays, mathematical manipulations.
  • Exploratory Data Analysis (EDA) on Real-World Datasets.
  • Pandas: DataFrames, Series, Data Cleaning, Merging & Handling Missing Data.
📈 Phase 2: Data Visualization
  • Matplotlib: Customizing plots, figures, subplots.
  • Seaborn: Statistical data visualization, heatmaps, distribution plots.

🛠️ Tech Stack & Ecosystem

Category Tools / Libraries
Language Python
Data Manipulation NumPy Pandas
Visualization Matplotlib Seaborn

🚀 Key Features

  • 🧩 Problem-Solving Challenges: Brain-teasing exercises to build algorithmic intuition.
  • 🧹 Clean Code Focused: Emphasis on writing readable, reusable, and modular code.
  • 📂 Project-Based: Every key milestone comes with a mini or full-fledged project.
  • Hands-on NumPy & Data Work: Deep dive into high-performance array operations.

💻 How to Get Started

  1. Clone the repository:
    git clone [https://github.com/Mahmoud4265/Zero_To_Hero_Python.git](https://github.com/Mahmoud4265/Zero_To_Hero_Python.git)
    cd Zero_To_Hero_Python

2.Create a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3.Install dependencies:

pip install numpy pandas matplotlib seaborn

⭐ If you find this repository useful, don't forget to give it a star! ⭐

About

structured roadmap tracking my progression in Data Science. Includes core Data Wrangling (NumPy & Pandas), Data Visualization (Matplotlib & Seaborn) and hands-on EDA projects.

Topics

Resources

Stars

1 star

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages