February 2019
Intermediate to advanced
672 pages
16h 50m
English
Content preview from Advanced Python Programming
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Deadlocks
Deadlocks, one of the most common concurrency problems, will be the first problem that we analyze in this book. In this chapter, we will discuss the theoretical causes of deadlocks in concurrent programming. We will cover a classical synchronization problem in concurrency, called the Dining Philosophers problem, as a real-life example of deadlock. We will also illustrate an actual implementation of deadlock in Python. We will discuss several methods to address the problem. This chapter will also cover the concept of livelock, which is relevant to deadlock and is a relatively common problem in concurrent programming.
The following topics will be covered in this chapter:
- The idea behind deadlock, and how to simulate it in Python ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.