Taipy is an open-source Python library for easy, end-to-end application development, featuring what-if analyses, smart pipeline execution, built-in scheduling, and deployment tools.

In order to get started with creating a web app with taipy, first install taipy from your command line with pip install taipy.

pip install taipy

Watch the full tutorial above for how to create web app with taipy just like HTML JS

Source Code used in the Video above:

To Make a Web App with Taipy

from taipy import Gui

if __name__ == (__main__):
   Gui().run()

To Add Attributes to Your Web App

from taipy import Gui

title = "Your Text"

page = """
<|Button 1|button|><|Button 2|button|class_name=plain|>
<|Error|button|class_name=error|><|Secondary|button|class_name=secondary|>
<|text-center|>

if __name__ == (__main__):
   Gui().run()

For Dynamic Chart

from taipy import Gui
from math import cos, exp

value = 10

page = """
# Taipy *Dynamic Chart*

Value: <|{value}|text|>

<|{value}|slider|on_change=on_slider|>

<|{data}|chart|>
"""
def on_slider(state):
    state.data = compute_data(state.value)

def compute_data(decay:int)->list:
    return [cos(i/6) * exp(-i*decay/600) for i in range(100)]  

data = compute_data(value)  

if __name__ == "__main__":
    Gui(page).run()

Attributes in Taipy

Explanation of the Above Code:

I have demonstrated the use of Taipy, a library for creating graphical user interfaces (GUIs) in Python. It creates a dynamic chart that updates based on a slider input. Here’s a detailed explanation of the code:

1. from taipy import Gui: Imports the Gui class from the taipy module, which is used for creating GUIs.
2. from math import cos, exp: Imports the cos and exp functions from the math module, which are used for computing the data for the chart.
3. value = 10: Sets the initial value for the slider.
4. page = """...""": Defines the layout of the GUI using a multi-line string. It includes placeholders (<|{value}|text|>, <|{value}|slider|on_change=on_slider|>, <|{data}|chart|>) for dynamic content.
5. def on_slider(state):: Defines a function on_slider that updates the chart data when the slider is moved. It takes a state object as input, which contains the current state of the GUI.
6. def compute_data(decay:int)->list:: Defines a function compute_data that computes the data for the chart based on a decay parameter. It returns a list of values.
7. data = compute_data(value): Computes the initial data for the chart based on the initial value.
8. if __name__ == "__main__":: Checks if the script is being run as the main program.
9. Gui(page).run(): Creates a GUI using the page layout and runs it. This starts the GUI event loop, allowing the user to interact with the GUI.

To run this code, you need to have Taipy installed (pip install taipy). Then, save the code in a Python file (e.g., dynamic_chart.py) and run it using a Python interpreter (python dynamic_chart.py). This will open a GUI window with a slider and a chart that updates dynamically based on the slider value.

Taipy Documentation

Creating web applications with Taipy in Python offers a powerful and flexible way to build interactive user interfaces. This tutorial has covered the key steps and concepts involved in developing a web app using Taipy:

1. Setting Up: The tutorial likely began with instructions on installing Taipy (pip install taipy) and setting up a basic project structure.
2. Creating GUI Components: It explained how to create GUI components like buttons, sliders, text fields, and charts using Taipy’s Gui class.
3. Event Handling: The tutorial likely covered how to handle user interactions, such as button clicks or slider movements, using event handlers.
4. Dynamic Updates: It demonstrated how to update the GUI dynamically based on user inputs or other events, such as updating a chart in real-time.
5. Deployment: It may have included guidance on deploying the web app, such as using a web server like Flask or Django to serve the Taipy-based GUI to users.
6. Additional Features: Depending on the complexity of the tutorial, it might have covered more advanced features like data visualization, styling, or integrating external APIs.

In conclusion, this tutorial provides a comprehensive guide to creating web applications with Taipy in Python. By following the steps outlined in the tutorial, developers can create interactive and dynamic web apps that are both powerful and user-friendly.