Effective Python Learning Memorandum Day 1 [1/100]

Introduction

The other day I learned about 100 Days Of Code, which was popular on Twitter for a while. In this article, as a beginner, I'm writing to keep a record of how much I can grow through 100 days of study to become a data scientist. I think there are many mistakes and difficult to read. I would appreciate it if you could point out!

100-day goal

Understand the following books and sites, and keep a record so that you can easily remember them even if you forget them.

• Effective Python ――I often experience that the code is dirty and it takes time to understand the code I wrote. Also, since I will work as a member of society from next year, I want to be able to write readable code. This book is packed with know-how for writing efficient and excellent programs, and you can learn the Python style.

-[Self-study Git](https://www.amazon.co.jp/%E7%8B%AC%E7%BF%92Git-%E3%83%AA%E3%83%83%E3%82%AF% E3% 83% BB% E3% 82% A6% E3% 83% 9E% E3% 83% AA-ebook/dp/B01C2TRNUG/ref = sr_1_2? __mk_ja_JP =% E3% 82% AB% E3% 82% BF% E3 % 82% AB% E3% 83% 8A & dchild = 1 & keywords = git & qid = 1609408655 & sr = 8-2) ――I have experience using github, but every time I use it, I'm worried about it and it's efficient. I want to learn the basics firmly and be able to use github without getting stuck. -Progate SQL ――I want to acquire knowledge of databases. -Data analysis technology that wins with Kaggle ――I've read it before, so I'd like to read it carefully this time to deepen my understanding. -Deep Learning 3 made from scratch ――I read Deep Learning 1 made from scratch before and it was very easy to understand, so I would like to read this sequel as well.

Teaching materials to be learned this time

• Effective Python --Chapter 8 structure --Page 216 of this chapter

Today's progress

--Progress: Pages 1-14 ――I will write down what I often forget or didn't know about what I learned today.

Naming conventions follow PEP 8 style guide

--PEP 8 sets clear criteria for how to write Python code -Online Guide

An example of rules to follow

--Blank --Each line length is 79 characters or less --Add ** 4 whitespace to regular indentation when continuing a long expression on the next line ** --In the file, functions and classes are ** separated by two blank lines ** --In class, methods are separated by blank lines --Name --Functions, variables and attributes are underlined in lowercase, such as lowwercase_underscore. --Classes and exceptions are capitalized, as in CapitalizedWord --Module-level constants are all uppercase and underlined, such as ALL_CAPS.

About slices

The slice lengths to be substituted do not have to be the same

a = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
print("Before ", a)
a[2:8] = [11, 12, 13]
print("After ", a)

Execution result

Before [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
After [1, 2, 11, 12, 13, 9, 10]

Inversion of string

s = 'abcdefg'
reverse_s = s[::-1]
print(reverse_s)

Execution result

gfedcba

in conclusion

This article will be the first post. I think there are many points that cannot be reached, but I will post with the spirit of hitting and breaking.