and transform data—and use Python’s expressive power and package ecosystem (for instance, for graphing or rendering data to other formats) to do even more than you could with Pandas alone.

I hope that it’ll be useful to those who already have a background in software or Python, but who are looking for an easy-to-scan reference to use in data analysis projects. Python is easy to ...

Within it, we’ll cover the Python equivalents of the most commonly used Excel formulas and features for SEO data analysis – all of which are available within a Google Colab notebook linked in ...

Python, on the other hand, is a general purpose computer language. It can be used to create just about any kind ... community has developed increasingly-sophisticated data manipulation, statistical ...

What if the tools you already use could ... managing data logistics. Once your external data connection is established, Python integration in Excel allows you to elevate your analysis.

These tips should give technical users more flexibility to customize analysis and manipulate data their way. Looking for more ways to use Python for style analysis? The complete guide includes ...

Sophisticated data analysis has become one of the fastest-moving areas of IT and one of Python’s star use cases. The vast majority of libraries used for data science or machine learning have ...

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 ...