https://github.com/kasraskari/python-for-data-science
Foundational concepts and libraries for data science with Python.
https://github.com/kasraskari/python-for-data-science
data-science jupyter-notebook matplotlib numpy pandas python scipy
Last synced: about 2 months ago
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Foundational concepts and libraries for data science with Python.
- Host: GitHub
- URL: https://github.com/kasraskari/python-for-data-science
- Owner: KasrAskari
- License: mit
- Created: 2025-05-12T11:31:33.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2025-05-12T11:40:14.000Z (about 2 months ago)
- Last Synced: 2025-05-12T12:41:30.439Z (about 2 months ago)
- Topics: data-science, jupyter-notebook, matplotlib, numpy, pandas, python, scipy
- Language: Jupyter Notebook
- Homepage:
- Size: 1.71 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Python for Data Science
A beginner-friendly repository that introduces the core Python libraries used in data science, with clear and concise concept-based examples.
## 📌 Overview
This repository introduces the essential Python libraries used in data science, with a focus on understanding their core functionalities. It's ideal for beginners who want a solid starting point without diving into complex datasets.
## ✨ Features
- 🐍 Python basics for data wrangling
- 📊 Data manipulation with pandas and NumPy
- 📈 Data visualization using matplotlib and seaborn
- 🧹 Data cleaning techniques
- 🔍 Exploratory Data Analysis (EDA)
- 💾 Real-world dataset examples
## 🛠️ Technologies Used
- Python 3.x
- Jupyter Notebook
- NumPy
- pandas
- matplotlib
- seaborn
## 📜 License
This project is open source and available under the [MIT License](LICENSE).
## 📊 Results
This repository will help you:
- Understand and manipulate data with Python.
- Visualize insights through charts and plots.
- Build a solid foundation for advanced topics in machine learning and AI.
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Feel free to ⭐️ this repo if you find it helpful, and fork it to experiment on your own!