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, ...

Overview The right book makes R learning simple and practical with real data examples.Beginners, intermediates, and experts ...

Learn Python Programming, Fourth Edition, provides a comprehensive, up-to-date introduction to Python programming, covering fundamental concepts and practical applications. This edition has been ...

Overview Beginner-friendly books simplify Python, R, statistics, and machine learning concepts.Practical examples and ...

Welcome! This repository is a collection of small Python projects and exercises I'm building as I learn Python. Each project typically corresponds to a concept or chapter I've just finished in a ...

Your career goals and personal interests should guide your choice of a first programming language, not just what’s popular.

Twins clubhouse assistant manager Tim Burke created a database of player measurements that MLB has adopted and about half of ...

The core of the Python data model architecture is the special methods (also known as 'magic methods'). These methods, which begin and end with double underscores, such as __init__, __getitem__, __len_ ...

Perl may be increasing in popularity because Perl 5 is consistently updated, but the exact reason for its rise is difficult ...

Hands-on experience is the most direct way to get better at programming. Watching videos or reading tutorials only gets you ...