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

Summary


The with statement in Python offers an intuitive and convenient way to manage resources while ensuring that errors and exceptions are handled correctly. This ability to manage resources is even more important in concurrent and parallel programming, where various resources are shared and utilized across different entities—specifically, by using the with statement with threading.Lock objects that are used to synchronize different threads in a multithreaded application.

Aside from better error handling and guaranteed cleanup tasks, the with statement also provides extra readability from your programs, which is one of the strongest features that Python offers its developers.

In the next chapter, we will be discussing one of the most popular uses of Python at the moment: web-scraping applications. We will look at the concept and the basic idea behind web scraping, the tools that Python provides to support web scraping, and how concurrency will significantly help your web-scraping applications...