Streamlit : Deploy your Data & ML app on the web with Python

سرفصل های دوره

Create in a few hours a great interactive web application and deploy your data or AI model worldwide with Python!

1 - Introduction

1 - Initial Quizz.html

1 - Welcome message.html

1 - Windows.pdf

1 - streamlit-presentation.pdf

2 - Presentation of the training

3 - What is Streamlit

4 - What you will learn in this course

2 - Preparing your work environment

5 - Installation Github directory download

5 - Windows.pdf

6 - Code presentation

7 - Installation of the virtual environment

3 - The foundations of Streamlit

8 - Presentation

9 - Exercise part 1 Streamlit fundamentals

10 - Exercise part 2 Streamlit fundamentals

11 - Final project explanations.html

12 - Final Project part 1 the fundamentalss

4 - Interaction with the user UI UX

13 - Presentation

14 - Exercise Part 1 Interaction

15 - Exercise Part 2 Interaction

16 - Project Part 1 Interaction

17 - Project Part 2 Interaction

5 - Visualization with Streamlit

18 - Presentation

19 - Exercises visualization

20 - Project visualization

6 - Advanced features

21 - Presentation

22 - Form

23 - Session

24 - Cache

7 - Application deployment on the web with Streamlit Cloud

25 - Streamlit Cloud

8 - Conclusion

26 - Conclusion

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تولید کننده: Udemy-Training