Shiny for Python Ultimate: Web Development with Python

Focused View

Bert Gollnick

3:04:12

130 View

1 - Introduction Setup

1 - What is Shiny 101.mp4

05:22

2 - Course Scope 101.mp4

03:14

3 - Self Presentation 101.mp4

01:14

4 - System Setup 101.mp4

02:46

5 - Get Material Local Environment Coding.mp4

07:22

2 - Shiny for Python

6 - HighLevel App Structure 101.mp4

05:34

7 - Our first app Coding.mp4

05:29

8 - How to run the webserver Coding.mp4

02:30

9 - Layout 101.mp4

02:59

10 - Control Widgets 101.mp4

03:28

11 - Control Widgets Coding.mp4

13:58

12 - Reactivity 101.mp4

05:08

13 - Reactivity Coding.mp4

04:51

3 - 1st App Most popular languages

14 - App Overview 101.mp4

01:19

14 - deployed app.zip

15 - Data Preparation Coding.mp4

11:43

16 - Frontend Coding.mp4

09:35

17 - Backend Coding.mp4

14:48

4 - 2nd App Climate Change

18 - App Overview 101.mp4

02:43

19 - 1 App Setup Coding.mp4

03:48

20 - 2 Data Preparation Coding.mp4

03:19

21 - 3 Frontend App Setup Coding.mp4

02:21

22 - 4 Frontend Layout with Rows and Columns.mp4

07:12

23 - 5 Frontend Adding Static Content Coding.mp4

05:02

24 - 6 Frontend Image with a Link Coding.mp4

03:59

25 - 7 Frontend Linking Static Content Coding.mp4

01:34

26 - 8 Backend Adding the world map Coding.mp4

04:03

27 - 9 Backend Map Plotting Function Coding.mp4

03:13

28 - 10 Backend Temperature Plot Coding.mp4

05:15

29 - 11 Backend Implement a Progress Bar Coding.mp4

03:46

30 - 12 Backend Implement Color Map Coding.mp4

04:17

5 - Deployment

31 - Deployment Options 101.mp4

05:50

32 - shinyliveio and GitHub Gist 101Coding.mp4

05:26

33 - WebAssembly 101.mp4

03:21

34 - GitHub Pages 101.mp4

03:07

34 - medium article on deploying a shiny for python app.zip

35 - GitHub Pages Coding.mp4

09:54

36 - Posit Connect 101.mp4

02:27

37 - Pitfalls.mp4

02:15

6 - Additional Information

38 - Bonus Lecture.html

Description

Learn to Develop Interactive Web Applications with Python, and how to Deploy it for Free

What You'll Learn?

learn to develop web projects with Python
deploy your web application via shinylive
deploy your web application via GitHub Pages
all necessary ingredients like User Interface, widgets

Who is this for?

Python developers who want to develop web projects

More details

Description
With Shiny for Python you can create dynamic and interactive web applications using only Python! This comprehensive course is designed specifically for beginners who want to dive into the world of web development using Python as their main tool.
The course will cover everything from the basics of web development (covering user input, creating outputs) with the Python package Shiny for Python to advanced topics such as interactive maps or progress bars. You will also learn how to deploy your web applications via different options.
Throughout the course, you'll work on real-world projects that will give you hands-on experience and help you put your new skills into practice. Whether you're looking to start a new career in web development or simply want to build your own personal projects, this course is the perfect starting point.
With expert instructors, small exercises, and practical projects, this online course is the ultimate guide to building web applications with Python. Sign up today and take the first step towards becoming a skilled Python web developer!

Content
Understand how to develop a web application with Shiny
App Structure
Layout
Control Widgets
Reactivity
Develop an app on Popular Programming Languages
fetching user input
create an interactive app
Develop an app on Climate Change
incl. progress bar
interactive map
static content like icons
styling the app
adding images
Learn about different deployment options, e.g.
shinylive and GitHub Gist
WebAssembly
GitHubÂ Pages
Posit Connect
shinyapps
Who this course is for:
Python developers who want to develop web projects

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I am a hands-on Data Scientist with a lot of domain knowledge on Renewable Energies, especially Wind Energy.Currently I work for a leading manufacturer of wind turbines. I provide trainings on Data Science and Machine Learning with R and Python since many years.I studied Aeronautics, and Economics. My main interests are Machine Learning, Data Science, and Blockchain.

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