Effective Python: Outline

General Python

1. About, goals and objectives; leverage the work of others, use established libraries
2. String manipulation and slicing
3. Lists and slicing
4. Dictionaries
5. Sets
6. Strings and Unicode, encode/decode, bytes
7. Regular expressions
8. zip, enumerate, and iter
9. Standard library packages
10. Understanding the help: argv and kwargs
11. Established packages (for modeling, graphics)
12. Files: pathlib and Path
13. Dates
14. requests, BeautifulSoup and web-scraping
15. IPython and magic
16. ipyparallel

Effective Matplotlib

1. Work with axis objects
2. Flavors of grid specifications and how they define plot dimensions
3. Tight versus constrained layout
4. Roll-your-own layouts
5. WYSIWYG - except when it isn’t
6. Using ticker formatters and locators
7. A generic axis formatter and the joy of the engineering format
8. Join styles and discrete distributions and percentiles
9. Colors
10. Fonts
11. Using magic
12. Three-dimensional plots

Effective pandas

1. A test DataFrame
2. Embrace the index (xs, loc, iloc, at)
3. query
4. filter
5. concat
6. groupby
7. stack and unstack
8. MultiIndex
9. read_csv
10. read_html and web…
11. Python introspection with pandas
12. geopandas

posted 2022-01-20 | tags: programming, Python, Effective Python