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 ...

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, ...

Python has grown to become one of the top programming languages in the world, with more developers than ever now using it for data analysis, machine learning, DevOps, and web development. Data ...

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

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

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks. Learning to code, whether with Python, JavaScript, or another ...

Do you find yourself doing the same repetitive SEO tasks each day or facing challenges where there are not tools that can help you? If so, it might be time for you to learn Python. An initial ...