#386: Realtime Web Apps and Dashboards with H2O Wave

1

Introduction

00:00 • 2min

2

Talk Python to Me, Michael

01:47 • 2min

3

Front-End Engineering - What's Your Favorite Framework?

03:29 • 2min

4

H2O Wave - A Framework for Data Scientists and People Making AI Models

05:31 • 3min

5

Is There a Gap Between a Desktop and an Application?

08:08 • 3min

6

The Difference Between Streamlet and H2 Wave?

11:27 • 2min

7

Streamlet API

13:22 • 2min

8

Hydrogen Torch and Framework for Deep Learning

14:58 • 2min

9

Microsoft for Startups Founders Hub

17:09 • 3min

10

Wave Server and Wave Application Provides a Streamlined Integration With OpenID Connect

20:33 • 2min

11

Using a Wave Script to Create a Web App

22:35 • 2min

12

The Basics of Local Read the Script or Apps

24:51 • 2min

13

WebSocket - The Magic Behind It

26:57 • 3min

14

How to Get a Client to Sing 99 Bottles of Beer on the Wall

29:33 • 2min

15

Scripts and Web Apps

31:28 • 4min

16

WebSockets

35:14 • 2min

17

How Does Ariac Magically Update the UI?

36:52 • 2min

18

Scripting - Using a Synchronized API

39:15 • 2min

19

Is It a Good Way to Build a Web Application?

41:37 • 2min

20

H2L Wave Tour

43:50 • 3min

21

Code Extensions

46:21 • 2min

22

Vs Code Extension - PyCharm Plugin

48:23 • 2min

23

H2O Wave DevOps

50:05 • 2min

24

Cloud Platform - How to Deploy Waveups Easily?

51:39 • 2min

25

Wave Apps Could Be a Good Fit for That, Right?

53:59 • 2min

26

Is There a Widget for Data Scientists?

56:22 • 2min

27

JavaScript

57:59 • 2min

28

3000 GitHub Stars Looks Like a Cool Framework

59:31 • 2min

29

Is Cypress the New Selenium?

01:01:02 • 2min

30

Hector Were First - A Man-Long Celebration of Open Source

01:02:33 • 3min