#57 Technology Trade Offs: Python & Kotlin (With Matt Anger)

1

Introduction

00:00 • 2min

2

The Multi-Platform Capabilities of Kotlin

02:15 • 3min

3

How to Upgrade to Python and Django

04:55 • 5min

4

The Problem With the Scholar Ecosystem

09:58 • 3min

5

The Importance of Concurrency in Java

13:28 • 3min

6

The Importance of Rearchitecting Your System

16:17 • 3min

7

Kotlin: A Functional Way of Doing Things

18:56 • 2min

8

How to Learn Kotlin Code With IntelliJ

20:54 • 2min

9

The Importance of Nullability in Kotlin

23:12 • 3min

10

GraphQL Federation: A Microservice Approach to Scalability

26:38 • 2min

11

The Importance of Functional Thinking in Complex Systems

28:56 • 2min

12

How to Duplicate Production Traffic

31:23 • 4min

13

The Psychology of Chaos Testing

35:09 • 2min

14

The Fallacies of Distributed Systems

37:28 • 2min

15

The Importance of Chaos Engineering in the Development of Systems

39:06 • 3min

16

The Concerns About Language Changes

42:02 • 2min

17

Concurrency and Scalability

43:33 • 2min

18

Kotlin's Immutability Advantages Over Java

45:13 • 2min

19

R2DBC and Coroutines: A Comparison

47:09 • 2min

20

Coroutine and Python: The Future of Development

49:39 • 2min

21

Kotlin and Java: A Comparison

51:40 • 3min

22

The Trade-Offs Between Freedom and Standardization in an Organization

54:23 • 2min

23

The Benefits of Learning Kotlin

56:33 • 2min

24

How to Be a Better Developer by Learning More Languages

58:22 • 2min