Overview Beginner-friendly books simplify Python, R, statistics, and machine learning concepts.Practical examples and projects make data science easier to under ...

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, ...

The core of the Python data model architecture is the special methods (also known as 'magic methods'). These methods, which ...

The Python Book delivers an essential introductory guide to learning Python for anyone who works with data but does not have experience in programming. Get this eBook for free today!

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.

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.

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.

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