Welcome to the Python Dash Library workshop! In this course, we will be exploring the Dash library, a powerful tool for building data-driven web applications with Python. Objectives
The goal of this workshop is to provide students with a solid understanding of the following concepts:
How to build dynamic, data-driven web applications using Python and the Dash library.
How to use Dash components to create interactive web applications.
How to visualize data in real-time using Dash.
How to integrate Dash with popular data analysis libraries such as Pandas and Plotly.
This course is broken down into the following sections:
Introduction to the Dash library
Building your first Dash application
Adding interactivity to your Dash applications
Visualizing data in Dash
Integrating Dash with Pandas and Plotly
Before taking this course, students should have a basic understanding of the following concepts:
Python programming
Web development concepts (HTML, CSS, JavaScript)
Familiarity with data analysis libraries such as Pandas or Numpy is recommended but not required.
pip install pandas
pip install dash
All course materials, including the slides and code examples, can be found on the GitHub repository.
My name is Tom, and I work in part-time at Drakai Capital as a software engineer. I create interactive dashboards for traders with Dash and Pandas.
contact: [email protected]
If you have any questions or comments about the course, please feel free to reach out at your email address.
We hope you enjoy this workshop and find it useful in your data analysis and web development journeys!