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="ans">
# Running the Event Loop
<p>With Python 3.7+ the preferred way to run the event loop is to use the <code class="mthd">asyncio.run()</code> method. The method is a blocking call till the passed-in coroutine finishes. A sample program appears below:</p>
<b>

```python
async def do_something_important():
    await asyncio.sleep(10)


if __name__ == "__main__":

  asyncio.run(do_something_important())
```
</b>

<p>If you are working with Python 3.5, then the <code class="mthd">asyncio.run()</code> API isn't available. In that case, we explicitly retrieve the event loop using <code class="mthd">asyncio.new_event_loop()</code> and run our desired coroutine using <code class="mthd">run_until_complete()</code> defined on the loop object. The code widget below shows how to run a coroutine using the event loop. The code widget runs Python 3.5. so we present the snippet compatible with Python 3.5.</p> 
</div>

<div>
# Running the Event Loop
<p>With Python 3.7+ the preferred way to run the event loop is to use the <code>asyncio.run()</code> method. The method is a blocking call till the passed-in coroutine finishes. A sample program appears below:</p>
<b>

```python
async def do_something_important():
    await asyncio.sleep(10)


if __name__ == "__main__":

  asyncio.run(do_something_important())
```
</b>

<p>If you are working with Python 3.5, then the <code>asyncio.run()</code> API isn't available. In that case, we explicitly retrieve the event loop using <code>asyncio.new_event_loop()</code> and run our desired coroutine using <code>run_until_complete()</code> defined on the loop object. The code widget below shows how to run a coroutine using the event loop. The code widget runs Python 3.5. so we present the snippet compatible with Python 3.5.</p> 
</div>

In this lesson, we'll examine some of important APIs we can use to work with the event loop.

The Basics

Threading Module

Multiprocessing

Concurrent Package

Async.io

Global Interpreter Lock

Interview Practise Problems

The End

... continued

Running the Event Loop