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


A thread of execution is the smallest unit of programming commands. In computer science, multithreaded applications allow for multiple threads to exist within the same process simultaneously, in order to implement concurrency and parallelism. Multithreading provides a variety of advantages, in execution time, responsiveness, and the efficiency of resource consumption.

The threading module in Python 3, which is commonly considered superior to the old thread module, provides an efficient, powerful, and high-level API to work with threads while implementing multithreaded applications in Python, including options to spawn new threads dynamically and synchronize threads through different locking mechanisms.

Queuing and priority queuing are important data structures in the field of computer science, and they are essential concepts in concurrent and parallel programming. They allow for multithreaded applications to efficiently execute and complete their threads in an accurate manner, ensuring...