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

Chapter 11. Using the with Statement in Threads

The with statement in Python sometimes causes confusion for novice and experienced Python programmers alike. This chapter explains in depth the idea behind the with statement as a context manager and its usage in concurrent and parallel programming, specifically regarding the use of locks while synchronizing threads. This chapter also provides specific examples of how the with statement is most commonly used.

The following topics will be covered in this chapter:

  • The concept of context management and the options that the with statement provides as a context manager, specifically in concurrent and parallel programming
  • The syntax of the with statement and how to use it effectively and efficiently
  • The different ways of using the with statement in concurrent programming