Measuring Python Code Quality, Simplicity, and Maintainability

1

Introduction

00:00 • 5min

2

Cod Quality Metrics and Actionable Stuff

04:37 • 3min

3

Cod Quality Metrics

07:43 • 4min

4

Code Review

11:26 • 2min

5

Sas a P Is No Sequel and Big Data

13:14 • 2min

6

Is There a Magical Method in Python?

15:30 • 3min

7

Is It a Saucy Sa Like Yo?

18:41 • 3min

8

Sorcery Is a Tool That Aims to Do Automatic Code Refactoring

21:41 • 2min

9

Using a Working Memory in Lacoqe?

23:42 • 4min

10

Is There Aim for Conciseness?

28:02 • 4min

11

How Many Directions Are There Through My Code?

32:11 • 2min

12

Is Pattern Matching a Good Idea?

34:18 • 2min

13

What Does It Mean to Write Python Code in the Way It Was Designed?

36:15 • 5min

14

Is Recursion Really a Problem in Python?

41:07 • 4min

15

Can You Remember These Numbers?

44:46 • 4min

16

Code Review

48:43 • 2min

17

Is Machine Scripting a Good Technique?

50:20 • 3min

18

What Do These Numbers Tell Us?

53:05 • 3min

19

Managing Technical Depth

56:24 • 4min

20

Python - What Are You Eager About in Python?

01:00:08 • 2min

21

What Do You Want to Learn Next?

01:02:35 • 2min

22

The Real Python Podcast

01:04:24 • 2min