Python Toolbox

• My personal toolbox that contains my daily python tools for datascience and machinelearning
• Jul. 28, 2020

     

Python Basic

1. Basic Structure | Code

No.	Contents	No.	Contents	No.	Contents	No.	Contents
1	Print	2	Variable	3	Function	4	Method
5	Formatting	6	List and Tuple	7	Dictionary	8	Set
9	Collection	10	Lambda Function	11	Copy	-	-

2. Standard Modules | Code

No.	Contents	No.	Contents	No.	Contents
1	Random	2	Time	3	Calendar
4	Math	5	Statistics	6	Sys

     

Python Advanced

Scope | Code

Functions | Code

No.	Contents	No.	Contents	No.	Contents
1	Lambda	2	Filter	3	Reduce

Copy | Code

Context Manager | Code

No.	Contents	No.	Contents	No.	Contents
1	__enter__	2	__exit__	3	With

Property | Code

No.	Contents	No.	Contents	No.	Contents	No.	Contents
1	Underscore	2	Access Modifier	3	Naming Mangling	4	Getter/Setter

Polymorphism | Code1, Code2

No.	Contents	No.	Contents	No.	Contents
1	Method Overriding	2	Method Overloading	3	multipledispatch

Metaclass | Code

Descriptor | Code

     

Module and Packages | Code

• Structure of python project, Pip
• Baseline of Python library
  • __init__.py
  • Root | README.md, setup.py, setup.cfg(optional), LICENSE, MANIFEST.in
  • pip install setuptools wheel and Build up

     

Pytorch Basic | Code

• Differentiation, Probability, Neural Networks
• Layers and Blocks, Parameter Management, Custom layers, File I/O, GPU

     

Reference

[1] 김상형,『파이썬 정복』, 한빛미디어(2018)
[2] Dive into Deep Learning, http://d2l.ai/
[3] 모두를 위한 파이썬: 필수 문법 배우기 Feat. 오픈소스 패키지 배포, http://inf.run/fdBMs