CodeBackyard

Backyard of different codes and all the wonders (from tiny to huge ones)! :D

TODO

• tidy this file :sweat-smile:

Python Programming: Introductory

• programming lessons, e.g. hello-world, data structures, ...
• json
• multiprocessing do_parallel
• sanic/hug rest api examples with bearer authentication -> handy codes evey now and then

Python Mini Modules

• multiprocessing master/worker/logger architecture
• jupyter notebook resource monitoring, e.g. print memory and cpu usage per notebook

Simulations

• auction simulations, e.g. second price auction based on historical data -> demonstrate different levels of abstractions and speed
• Blackjack Simulation -> fun

String Similarity (loved to publish paper)

• string similarity, e.g. embed in N^d then compare -> motivation: exact pairwise-comparison of huge number of strings, e.g. around 100M strings

Data Science & Statistics

• homogeneous data splitting, e.g. test/control with homogeneous mean features
• estimating p-values via permutations
• p-hacking demonstrated -> there finally will be some statistics which seems significant
• non-parameteric statistical inference -> confidence sets, ... following book "All of Nonparameteric Statistics"
• python-c++-cuda trio! -> solving large dynamic programmings (real-world problem: recursive relations in dynamic pricing)