🎯 Goal: Master Data Science through clean code, structured learning, and hands-on projects!
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.
📊 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.
| Category | Tools / Libraries |
|---|---|
| Language | |
| Data Manipulation | |
| Visualization |
- 🧩 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.
- 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\activate3.Install dependencies:
pip install numpy pandas matplotlib seaborn⭐ If you find this repository useful, don't forget to give it a star! ⭐