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Working with Excel Spread sheets in python @nealearn

Working with Excel Spread sheets in python @nealearn


Excel is a popular and powerful spread-sheet application for Windows.Python Training in Bangalore The openpyxl module allows your Python programs to read and modify Excel spreadsheet files. For example, you might have the boring task of copying certain data from one spreadsheet and pasting it into another one. Or you might have to go through thousands of rows and pick out just a handful of them to make small edits based on some criteria. Or you might have to look through hundreds of spreadsheets of department budgets, searching for any that are in the red. These are exactly the sort of boring, mindless spreadsheet tasks that Python can do for you.

 Although Excel is proprietary software from Microsoft, there are free alternatives that run on windows, OS X, and Linux. Both LibreOffice Calc and OpenOffice Calc work with Excel’s .xlsx file format for spreadsheets,which means the openpyxl module can work on spreadsheets from these appli-cations as well.

Working with Excel spreadsheets in Python is a common task in data analysis and automation. Python provides several libraries that make it easy to read, write, and manipulate Excel files programmatically. Two of the most popular libraries for this purpose are pandas and openpyxl.

Key Libraries

  1. pandas:
    • pandas is a powerful data manipulation library that can handle a wide range of data structures, including Excel files.
    • It is ideal for data analysis tasks due to its robust data manipulation and data analysis capabilities.
  2. openpyxl:
    • openpyxl is a library that allows you to read and write Excel 2010 xlsx/xlsm/xltx/xltm files.
    • It is useful for more direct manipulation of Excel files, such as formatting cells, creating charts, and more.

Excel Documents

First, let’s go over some basic definitions: Python Course Training in Bangalore An Excel spreadsheet document is called a workbook. A single workbook is saved in a file with the .xlsx exten-sion. Each workbook can contain multiple sheets (also called worksheets). Thesheet the user is currently viewing (or last viewed before closing Excel) is called the active sheet.

Each sheet has columns (addressed by letters starting at A) and rows(addressed by numbers starting at 1). A box at a particular column and row is called a cell. Each cell can contain a number or text value. The grid of cells with data makes up a sheet.


Project: Reading Data from a Spreadsheet

In this project, you’ll learn how to read data from an Excel spreadsheet using Python. We’ll cover the basics using the pandas library, which is highly efficient for this task.Python Training Certification in Bangalore

1: Setting Up the Environment

2:Reading Data from an Excel File 

3:Python Script to Read the Excel File

4:Understanding the Output

5:Accessing Specific Data

6:Iterating Over Data


This project introduces you to the basics of reading data from an Excel spreadsheet using Python and pandas. You can extend this by performing more complex data manipulations, visualizations, and exporting the processed data back to Excel.




In 2024,Python will be more important than ever for advancing careers across many different industries. As we’ve seen, there are several exciting career paths you can take with Python , each providing unique ways to work with data and drive impactful decisions. At NearLearn, we understand the power of data and are dedicated to providing top-notch training solutions that empower professionals to harness this power effectively.One of the most transformative tools we train individuals on isPython.


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