README.md

🔎 Python Codebook

#python #Data Science

🚦 1. Introduction

Python Codebook is a tutorial of python libraries for those who are studying Python. Most of the libraries covered here are related to data science such as pandas, numpy, networkx, folium etc.

• Much easier to read if you open codebook with Google colab

🚦 2. Table of Contents

1. Basic Python

• 1-1. Python Basic Syntax
  • Colab version: Python Basic Syntax.ipynb
• 1-2. Python Built-In Modules
  • Colab version: Built-In Modules.ipynb

2. Data Analysis Related

• 2-1. Numpy
  • Colab version: Numpy.ipynb
• 2-2. Pandas
  • Colab version: Pandas.ipynb

3. Visualization

• 3-1. Matplolib
  • Colab version: Matplotlib.ipynb
• 3-2. Seaborn
  • Colab version: Seaborn.ipynb

4. Web Crawling

• 4-1. BeautifulSoup
  • Colab version: BeautifulSoup.ipynb
• 4-2. Selenium
  • Colab version: Selenium.ipynb

5. Word Cloud

• 5-1. KoNLPy
  • Colab version: KoNLPy.ipynb
• 5-2. Word Cloud
  • Colab version: Word Cloud.ipynb

6. Network Analysis

• 6-1. Networkx
  • Colab version: Networkx.ipynb

7. Geographical Data Handling

• 7-1. Folium
  • Colab version: Folium.ipynb

8. Image Data handling

• 8-1. Pillow
  • Colab version: Pillow.ipynb

9. Database Related

• 9-1. Pymysql
  • Colab version: Pymysql.ipynb
• 9-2. Pymongo
  • Colab version: Pymongo.ipynb

10. Tableau

• 10-1. Tabpy
  • Colab version: Tabpy.ipynb

11. Etc

• 11-1. Markdown
  • Colab version: Markdown.ipynb
• 11-2. Google Colab Tips
  • Colab version: Google Colab.ipynb

Author

• Hyunwoo Jung
• Author Email : hyunwoo.jung@yonsei.ac.kr