The ultimate guide to senior engineering interviews. Strategies developed by FAANG engineers on Python concurrency, multithreading, monitors, and event loops. Prep faster for top company questions.

Concurrency in Python is one of the most complex and advanced topics brought up during senior engineering interviews. Knowledge of concurrency and multithreading can put interviewees at a considerable advantage. This course lays the foundations of advanced concurrency and multithreading and explains concepts such as Monitors, Event Loops and Deferred Callbacks in depth. It also builds simple and complete solutions to popular concurrency problems that can be asked about in interviews like the Reader-Writer Problem and the Dining Philosopher Problem. While prior knowledge of concurrency is not required to follow through with this course, familiarity with the very basic Python would be helpful.

Python Concurrency for Senior Engineering Interviews

<div class="card">
   # Multiple Processors   
   <div class="ans">
<p>We'll rewrite our service from the previous section to use a <code class="clazz">ProcessPoolExecutor</code> to process requests instead of threads. The changes appear in the widget below.</p>
</div>
</div>


<div>
   # Multiple Processors   
   <div>
<p>We'll rewrite our service from the previous section to use a <code>ProcessPoolExecutor</code> to process requests instead of threads. The changes appear in the widget below.</p>
</div>
</div>


This lesson discusses the implementation of the web-service using multiple processors.

The Basics

Threading Module

Multiprocessing

Concurrent Package

Async.io

Global Interpreter Lock

Interview Practise Problems

The End

Multiple Processors

Multiple Processors