pyrecipes

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Table of Contents

Contents are stored in two subfolders: scripts and notebooks. Cf. list of the specific contents in subsections below.

scripts

Python scripts with snippets pertaining to various topics

1. algorithms:
   • sorting - implementations of sorting algorithms
2. base64enc - doing base64 encoding (WiP!)
3. bits_n_bytes - working with Pythons bytes, bytearray, encoding numbers and test as bytes, etc.
4. builtin_gttrs_sttrs - explained difference between __getattr__ and __getattribute__
5. decorators - overview of key use-cases of decorators
6. fs - file system operations (using pathlib.Path to iterate over directory contents, both recursively and non-recursively, etc.)
7. function_self_inspection - how to get function's name from within that function
8. gcp_notes - investigation of select Google Cloud Platform aspects
9. hackerrank - notes on Hackerrank problems
10. heapq_notes - notes on using Python's heapq class
11. iterators_n_generators - overview of iterators and generators in Python
12. itertools_notes - notes on using select Python itertools package functions
13. metacls - notes on metaclasses in Python
14. mypy - notes on Pytohn's static type checked mypy
    • overload basics
    • overload for separating implementation of different values of a Literat type
15. oop - OOP in Python: notes
16. operators_overloading - overloading of operators in Python
17. reading_files - explained difference between read, readline and readlines methods called on open file
18. singleton_with_mcs - implementing singleton patter in Python using metaclasses
19. builtins_notes - notes on select builtins
    • counting Iterable elements
    • using itertools.groupby example
20. threading_notes - notes on Pythons threading package
    • most basic usecase
    • manually managing multiple threads
21. regexps - notes on regular expressions in Python with re
22. rmetaprog - notes on metaprogramming in Python

notebooks

1. Tutorial on working with time zones in datetime, dateutil and pandas
2. Overview of useful string columns methods in pandas
3. f-string formatting of numbers, datetimes and strings