If you often deal with different file formats, the Pyexcel library simplifies working with workbook ... openpyxl with other Python libraries like pandas for a smooth data analysis workflow.

It combines Python’s data analysis and visualization libraries ... versions of popular libraries are directly available in the workbook. A dataframe named “DF1” is created via cell reference ...

Excel has been the go-to tool for data manipulation and analysis for years. However, Python, with its powerful ... several ...

This approach not only keeps your workbook lightweight ... formats to streamline analysis and reporting. These steps prepare your data for seamless integration with Python, allowing you to focus ...

Python runs perfectly well on any modern PC, so I’m not sure why Microsoft went the cloud route here. “Now you can do advanced data analysis in the familiar Excel environment by accessing ...

However, in recent years the open source community has developed increasingly-sophisticated data manipulation, statistical analysis, and machine learning libraries for Python. We are now at the point ...

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks. Learning to code, whether with Python, JavaScript ...

DARPA (the U.S. Defense Advanced Research Projects Agency) has awarded $3 million to software provider Continuum Analytics to help fund the development of Python’s data processing and ...

Headquartered in Austin, Texas, Continuum Analytics offers add-on products and services that help organizations use Python for data analysis. The company will use the DARPA money to continue ...