Python is a versatile language well-suited for data science. The document outlines key Python concepts for data science including variables and types, lists, functions, packages like NumPy and Pandas, and data visualization with Matplotlib. It covers manipulating and subsetting lists and NumPy arrays, basic statistics with NumPy, histograms with Matplotlib, and boolean logic and control flow. The goal is to introduce essential Python skills for working with data.

1. Introduction to Python
for Data Science
Jackie Chao
jackie.chao@gmail.com
2018/11/25 , Read For You

2. Not only for data science

3. Outline
• Variables and Types
• Python Lists
• Subsetting Lists
• Manipulating Lists
• Functions
• Methods
• Packages
• Numpy
• 2D Numpy Array
• Basic Statistics with Numpy
• Basic plot with matplotlib
• Histograms
• Customization
• Boolean logic and control flow
• Pandas

4. Variable & types

5. list

6. subsetting list

7. list slicing

8. list manipulation

9. function

10. methods

11. packages

12. Numpy

13. Numpy

14. 2D numpy array

15. subsetting 2D numpy array

16. numpy basic statistics

17. matplotlib

18. histogram

19. customization

20. Python Tool

21. Python Tool