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

Python, with its flexibility, ease of learning, and a large developer community, has transformed the field of data analysis. In this article, we will learn about data analysis using Python.

It is a handy tool for keeping a record of data explorations, creating charts, styling text and sharing the results of that work. For data analysis, the cornerstone package in Python is “Pandas”.

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 ...

The author, an experienced data scientist and Python programmer, shows readers how to use Python for data analysis, exploration, cleaning, and wrangling.

Discover how Python in Excel transforms data analysis with advanced features. Is it worth the hype? Find out if it’s right for your workflow.

Data science is often cited as one of the main reasons for Python's growing popularity. But while people are definitely using Python for data analysis and machine learning, not many of those using ...

Some members of the Microsoft 365 Insiders program can now try out the combination of Python's data analysis and visualization libraries, Excel's features and the Anaconda Python repository. Image ...