What is Excel?
Microsoft Excel is a spreadsheet program part of the Office product group for business applications. Microsoft Excel allows users to arrange, organize, and calculate data in a spreadsheet.
Data analysts and other users can make information easier to examine as data is added or altered by organizing data using tools like Excel. Excel has a lot of boxes called cells, which are arranged in rows and columns. These cells are used to store data.
Excel is a component of the Microsoft Office and Office 365 suites, and it works with other Office apps. The spreadsheet application is compatible with Windows, macOS, Android, and iOS.
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The Pandas DataFrame is a two-dimensional data structure with matching labels. DataFrames are widely used in data science, machine learning, scientific computing, and a variety of other data-intensive disciplines.
DataFrames are similar to SQL tables or spreadsheets used in Excel or Calc. Because DataFrames are an essential part of the Python and NumPy ecosystems, they are often faster, easier to use, and more powerful than tables or spreadsheets.
Pandas is a Python library for table management. The table from the webpage would be stored in a Pandas dataframe as the first step. The read_html() function returns a list of dataframes, each of which represents a table on a webpage. We’re going to assume that the webpage only has one table.
Openpyxl is a Python library that reads and writes Excel files (with the extensions xlsx/xlsm/xltx/xltm). Python openpyxl module allows the program to read and modify Excel files.