Esri, the global leader in location intelligence, has released the Esri Advanced Guide to Python in ArcGIS, a new book for ...

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.

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 ...

Introduction to Python for Data Analysis¶. Recall that R is a statistical programming language—a language designed to do things like t-tests, regression, and so on.The core of R was developed during ...

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 ...

Python programmers can easily utilize Intel DAAL (daal4py) for developing robust, scalable, high performing data processing right out of the box, and immediately take advantage of its features and.

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 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 ...

The new Anaconda Python Distribution in Excel, which is currently in beta, will bring Python data analysis and data science capabilities to the popular spreadsheet program from Microsoft. The ...