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 Python programming language, despite its ease of use, offers a depth of useful functions, modules and data structures. One of these data structures, the "dictionary" data structure, functions as a ...

A python tutor offers personalized learning, adapting to your current skill level and learning pace. Finding the right python ...

Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more. It may seem odd to ...

Think it's complex to connect your Python program to the UNIX shell? Think again! In past articles, I've looked into concurrency in Python via threads (see "Thinking Concurrently: How Modern Network ...

Java can handle large workloads, and even if it hits limitations, peripheral JVM languages such as Scala and Kotlin can pick up the slack. But in the world of data science, Java isn't always the go-to ...

Python is powerful, versatile, and programmer-friendly, but it isn’t the fastest programming language around. Some of Python’s speed limitations are due to its default implementation, CPython, being ...