Flask Excel App Demo

This app is part of a demonstration showcasing the importance of learning to code and how advanced AI models like GPT can assist in the development process. The app demonstrates the power of procedural thinking in solving everyday problems using code. By using Python with Flask, HTML, and CSS, the app allows users to read and write data into an Excel file, showing how simple coding can be utilized to create useful applications. The intent is to illustrate how accessible programming has become, especially with tools like GPT to help automate parts of the development process.

Overview of the Article

The article discusses how learning to code has become increasingly essential in the modern world and how tools like GPT can assist in creating and refining coding projects. GPT can generate functional code snippets, provide explanations, and streamline development tasks. This app, generated based on a simple prompt, showcases how GPT can help create practical solutions with minimal human input, demonstrating the future of coding assistance.

Read the full article here:

Jupyter Notebook & Latest Release

You can download the Jupyter notebook provided with this app, which includes detailed installation instructions, Python code, and HTML files needed to run the application. You have a couple of options:

1. Directly run the app: After downloading the notebook, follow the instructions and run the app from your command line using python.
2. Use it as a tutorial: If you prefer a more interactive learning experience, you can go through the code step-by-step to build the app from scratch, using the notebook as a comprehensive guide.

Alternatively, you can download the latest release from https://github.com/Learning4tech/python_excel_demo/releases and run the app by following the provided command-line instructions.

Complete Prompt:

"I need a complete Python Flask app that allows users to read and write data to an Excel file. The app should have an HTML front-end with some CSS styling. Here are the details:

1. Python Functionality:

   • Use the openpyxl library to read from and write to an Excel file called demo_excel_app.xlsx.
   • The app should display data from the Excel file in an HTML table.
   • There should be a form that allows users to add new rows to the Excel file (fields: ID, Name, Age, Occupation).
   • There should be a link to download the updated Excel file.

2. HTML and CSS:

   • Style the page using CSS to create a modern look.
   • The table should have alternating row colours, and the form should be neatly laid out.
   • Include a hover effect for rows in the table and buttons for form submission.

3. Instructions:

   • Write installation instructions using pip to install the required libraries.
   • Provide command-line instructions to run the Flask app and how to open it in the browser.

4. Final Output:

   • The Python file should be named demo_excel_app.py.
   • The HTML template file should be stored in a templates folder as index.html.
   • Include clear comments in the Python and HTML files to explain the code."