Stefanie Molin's new book, “Hands-On Data Analysis with Pandas" is about using the powerful pandas library to get started with machine learning in Python.

The focus of this new approach–and the book–is Operational Analytics. It takes us from the descriptive and predictive analytics of traditional and big data analytics to prescriptive analytics.

Python has earned a name as a go-to language for working quickly and conveniently with data, performing data analysis, ... For those who don’t know Python at all, the book’s second part is a ...

Python in Excel brings together the best of both worlds. It combines Python’s data analysis and visualization libraries with Excel’s features, allowing users to manipulate and explore data ...

Discover 1-minute Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...

Python is an ‘equalizer’ which can help every part of a data operation to work together. Python is now the most popular language for data science, used by 15.7 million developers globally. It ...

Here you will find 285 women, each one an expert who has written a book, or perhaps several books, about some aspect of data analytics. The topics are as diverse as the field of analytics itself.

When doing data analysis, I prefer to use Jupyter notebooks as they provide a more convenient environment than the command line. You can inspect the data you are working with and write your ...

“Python is a very easy language to learn for non-programmers,” said Peter Wang, president of Continuum Analytics. That’s important because most big-data analysts will probably not be ...

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job. Among the many use cases Python covers, data analytics has become ...