This book shows how to level up from writing Python code to designing Python applications. Ronald Mak provides intuitive “before” and “after” examples of improved code, so readers can learn to plan ...

Python has become one of the most popular programming languages in data science because it combines simplicity, flexibility, and powerful analytical capabilities. Professionals use Python to collect, ...

So far we have looked at processes as a way of increasing the speed of CPU-bound programs, and threads as a way of increasing the speed of I/O-bound programs. In the following chapters the emphasis ...

Learn how to use asynchronous programming in Python 3.13 and higher. Get more done in less time, without the wait. NumPy is number-crunching at scale made easy. See how this staple of Python data ...