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, ...

Ubuntu is a free computer system, like Windows or macOS, but it’s built by a community. It’s great for programmers because it’s very flexible and has lots of tools already built-in that help you code.

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

The engineering landscape is shifting fast. Technologies keep evolving, and industries now want engineers who don’t just know ...

PyApp seems to be taking the Python world by storm, providing long-awaited click-and-run Python distribution. For developers ...

Big Data Technology and Artificial Intelligence are like a pair of "sibling disciplines"—the former provides the fuel (data) for the latter, while the latter imparts wisdom (algorithms) to the former.

Beyond big projects, doing smaller, focused exercises is super helpful. GeeksforGeeks has tons of these, covering everything ...

Another reason self-paced learning is so effective is that it mirrors how professionals work in real life. Data science ...

Driven Biology through the Application of Python Programming” was conducted by the Bioinformatics Infrastructure Facility ...

JetBrains has detailed its eighth annual Python Developers Survey. This survey is conducted as a collaborative effort between the Python Software Foundation and JetBrains’ PyCharm team.