Book Image

Advanced Python Programming - Second Edition

By : Quan Nguyen
Book Image

Advanced Python Programming - Second Edition

By: Quan Nguyen

Overview of this book

Python's powerful capabilities for implementing robust and efficient programs make it one of the most sought-after programming languages. In this book, you'll explore the tools that allow you to improve performance and take your Python programs to the next level. This book starts by examining the built-in as well as external libraries that streamline tasks in the development cycle, such as benchmarking, profiling, and optimizing. You'll then get to grips with using specialized tools such as dedicated libraries and compilers to increase your performance at number-crunching tasks, including training machine learning models. The book covers concurrency, a major solution to making programs more efficient and scalable, and various concurrent programming techniques such as multithreading, multiprocessing, and asynchronous programming. You'll also understand the common problems that cause undesirable behavior in concurrent programs. Finally, you'll work with a wide range of design patterns, including creational, structural, and behavioral patterns that enable you to tackle complex design and architecture challenges, making your programs more robust and maintainable. By the end of the book, you'll be exposed to a wide range of advanced functionalities in Python and be equipped with the practical knowledge needed to apply them to your use cases.
Table of Contents (32 chapters)
1
Section 1: Python-Native and Specialized Optimization
8
Section 2: Concurrency and Parallelism
18
Section 3: Design Patterns in Python

Applying the proxy pattern

In some applications, we want to execute one or more important actions before accessing an object. This is where the proxy pattern comes in. An example is accessing sensitive information. Before we allow any user to access sensitive information, we want to make sure that the user has sufficient privileges. The important action is not necessarily related to security issues. Lazy initialization (http://j.mp/wikilazy) is another case; we want to delay the creation of a computationally expensive object until the first time the user needs to use it. The idea of the proxy pattern is to help with performing such an action before accessing the actual object.

The proxy design pattern gets its name from the proxy (also known as surrogate) object, which is used to perform an important action before the actual object is accessed. There are four different well-known proxy types (http://j.mp/proxypat). They are as follows:

  • A remote proxy, which acts as the local...