Using the `xl` function, you can load connected data into a Pandas DataFrame, seamlessly combining Excel’s familiar interface with Python’s advanced analytical tools.

Pandas is more than merely a tool for data scientists to do numeric analysis. The fact that it can read (and write) formats such as CSV, Excel and JSON make it my primary tool for working with those ...

Python libraries like Pandas, NumPy, SciPy, and Matplotlib streamline data cleaning, statistical analysis, and visualization directly within Excel.

data_frame = pandas.read_excel('Demo.xlsx', skiprows=3) The parameter sheet_name determines the worksheet to be read, with the following instruction the second worksheet of the example workbook.

Use the popular Pandas library for data manipulation and analysis to read data from two files and join them into a single dataset.