#332: Robust Python

1

Introduction

00:00 • 2min

2

What Is Robust Python?

01:47 • 2min

3

Python and Java - What's the Difference?

04:00 • 2min

4

Cloud Computing

05:47 • 1min

5

How Do You Write Types in Python?

07:16 • 2min

6

Python

09:07 • 2min

7

Typing in Python

10:50 • 2min

8

Sophor Engineering

12:39 • 1min

9

Club House Is a Project Management Tool for Sophor Teams

14:06 • 4min

10

The Principle of Leas Surprise

17:45 • 3min

11

Is There Trust in Mental Models?

20:16 • 3min

12

Then I'm Trying to Be a Good Sowfor Developer

23:04 • 3min

13

How to Make a Co Base War Maintainable

25:42 • 2min

14

The Use of Editors Is So Valuable

27:26 • 3min

15

Continuous Integration

30:00 • 2min

16

Type Checker

31:49 • 2min

17

Master Works Is a Real Asset Class

33:27 • 2min

18

Typene Unlocks a Lot of Durability Ideas

35:10 • 4min

19

I Love Pydantic, I Love It.

38:51 • 2min

20

Do You Need Special Cases?

40:53 • 2min

21

Are You Building an Instograms API?

42:44 • 2min

22

The Solid Principles and the Alternative Principles

45:05 • 2min

23

Using a Dictionary in a Data Basic?

47:09 • 3min

24

Why Do I Choose a Dictionary Over a Data Class?

49:40 • 2min

25

Is There a Difference Between Policies and Mechanisms?

51:24 • 3min

26

Is a Dictionary Look Up a Lot Faster Than Ittering?

54:15 • 2min

27

Using Python to Deliver Value to Day

56:44 • 3min

28

Ore Estimation Effor

59:27 • 2min

29

How to Get the Most Out of Your Code

01:01:09 • 1min

30

How Long Will a Feature Take?

01:02:30 • 2min

31

The Hardest Story Is Not in Us Verses Themse

01:04:50 • 3min

32

Using a Package Editor to Deploy Pluggins?

01:07:28 • 2min

33

Talk Python Dot M, Slash Youtube

01:09:57 • 2min