Book Image

Advanced Python Programming

By : Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis
Book Image

Advanced Python Programming

By: Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis

Overview of this book

This Learning Path shows you how to leverage the power of both native and third-party Python libraries for building robust and responsive applications. You will learn about profilers and reactive programming, concurrency and parallelism, as well as tools for making your apps quick and efficient. You will discover how to write code for parallel architectures using TensorFlow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python design patterns work, you will be able to clone objects, secure interfaces, dynamically choose algorithms, and accomplish much more in high performance computing. By the end of this Learning Path, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems. This Learning Path includes content from the following Packt products: • Python High Performance - Second Edition by Gabriele Lanaro • Mastering Concurrency in Python by Quan Nguyen • Mastering Python Design Patterns by Sakis Kasampalis
Table of Contents (41 chapters)
Title Page
Copyright
About Packt
Contributors
Preface
Index

The with statement in concurrent programming


Obviously, opening and closing external files does not resemble concurrency very much. However, we mentioned earlier that the with statement, as a context manager, is not only used to manage file descriptors, but most resources in general. And if you actually found managing lock objects from the threading.Lock() class similar to managing external files while going through Chapter 9, Amdahl's Law, then this is where the comparison between the two comes in handy.

As a refresher, locks are mechanisms in concurrent and parallel programming that are typically used to synchronize threads in a multithreaded application (that is, to prevent more than one thread from accessing the critical session simultaneously). However, as we will discuss again in Chapter 20, Starvation, locks are also a common source of deadlock, during which a thread acquires a lock but never releases it because of an unhandled occurrence, thereby stopping the entire program.

Example...