Excel-To-Do-maker

Subject To-Do List Organizer with Date Tracking

project file here demo images excel_image

This Python project, tailored for your specific needs, transforms into a subject-based to-do list organizer that leverages existing information in your Excel spreadsheets. Here's a breakdown of its functionality:

Functionality:

1. Data Structure:

   • Each sheet in your Excel workbook represents a different subject.
   • Row names within each sheet correspond to specific topics within that subject.
   • Column headings (ideally the first column) represent actions like "reading," "revising," "solving dpps," etc.
   • Cell values contain dates or date formulas (e.g., =DATE(YEAR, MONTH, DAY)) indicating when you need to perform those actions for the respective topics.

2. Finding To-Do Items:

   • You'll use the provided find_date_cells function with a specific date (as a Python date object or a formula string).
   • The function searches through all subject sheets (each sheet name) and identifies cells containing that date.
   • For each matching cell, it retrieves the corresponding subject name, topic name, and action (column heading).

3. Output:

   • The program will display a formatted message showing the date you provided.
   • It then presents the list of to-do items for that date, categorized by subject and topic. This breakdown helps you prioritize tasks efficiently.

Example Usage:

Imagine you want to see your to-do list for tomorrow. You'd provide the code with tomorrow's date (or a formula to calculate it). The program would then scan your Excel file (assuming it follows the described structure) and present a list like this:

To-Do List for 2024-06-17 (Tomorrow)

**Subject 1:**
  * Topic A: Reading (Column Heading for Action)
  * Topic B: Solving DPPs (Column Heading for Action)

**Subject 2:**
  * Topic C: Revising (Column Heading for Action)

Benefits:

• Organized To-Do List: This project helps you visualize your workload for a specific date, categorized by subjects and topics, promoting better organization and task management.
• Date Tracking: By utilizing dates or date formulas in your Excel file, you can easily track upcoming deadlines and stay on top of your academic responsibilities.
• Flexibility: The code works with existing information in your Excel file, so you don't need to create a separate to-do list application.

Additional Considerations:

• Remember to modify the code's assumptions about row and column headings if your Excel files are structured differently.
• If your Excel file doesn't currently use date formulas, you'll need to update it manually before using this script.
• The code currently doesn't handle editing or adding to-do items. You'd need to modify it or use the Excel file itself for those tasks.

The project uses openpyxl library. This library is essential for working with Excel (.xlsx) files in Python. It provides functionalities to:

• Load existing Excel workbooks.
• Access and manipulate sheets within the workbook.
• Read and write cell values.
• Iterate through rows and columns of data.

The find_date_cells function leverages openpyxl to achieve the following in your project:

• It loads the specified Excel file using load_workbook.
• It iterates through each sheet in the workbook using methods like sheetnames and accessing sheets by name.
• It accesses cell values using the value attribute of a cell object.
• It manipulates data like converting strings and extracting information from formulas.