This book is edited by Li Hui and Chen Yanyan, with associate editors Yang Yu, Gao Yong, Zhang Qiaosheng, Bi Ye, and Liu Dengzhi. It is rich in content, covering 32 theories and 32 practical cases, ...

Pandas Pandas is a powerful Python library for data analysis and manipulation. It’s commonly used in machine learning applications for preprocessing data, as it offers a wide range of features for ...

Databot is an experimental alternative to querychat that works with R or Python. And it’s now available as an add-on for the ...

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.

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 ...

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.

Finish up with the advanced "Master Clustering Analysis for Data Science Using Python". Former students have been extremely satisfied with the classes in this bundle.

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