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.

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 a BSD-licensed open source library that provides high-performance, easy-to-use data structures and data analysis tools for Python. The R dataframe data structure has a close equivalent ...

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

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 ...

Also, Python isn’t limited to automation in Excel only. It opens up a host of other programming possibilities for you. Python is useful in web development, data science, machine learning, and more.