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
About Packt

Chapter 12. Concurrent Web Requests

This chapter will focus on the application of concurrency in making web requests. Intuitively, making requests to a web page to collect information about it is independent to applying the same task to another web page. Concurrency, specifically threading in this case, therefore can be a powerful tool that provides a significant speedup in this process. In this chapter, we will learn the fundamentals of web requests and how to interact with websites using Python. We will also see how concurrency can help us make multiple requests in an efficient way. Finally, we will look at a number of good practices in web requests.

In this chapter, we will cover the following concepts:

  • The basics of web requests
  • The requests module
  • Concurrent web requests
  • The problem of timeout
  • Good practices in making web requests