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 Threads   
   <div class="ans">
<p>To mitigate the issues we experienced in the previous section, we'll modify our service to spawn a new thread to deal with each new client request. We can use a <code class="clazz">ThreadPoolExecutor</code> to handle new client connections but for now, we'll simply spawn threads ourselves. The required changes are:</p>
<b>

```python
    def run_service(self):
        connection = socket.socket()
        connection.bind(('localhost', self.server_port))

        # put the socket into listening mode
        connection.listen(5)

        while True:
            client_socket, addr = connection.accept()
            Thread(target=self.handle_client, args=(client_socket,), daemon=True).start()
```
</b>

</div>
</div>


<div>
   # Multiple Threads   
   <div>
<p>To mitigate the issues we experienced in the previous section, we'll modify our service to spawn a new thread to deal with each new client request. We can use a <code>ThreadPoolExecutor</code> to handle new client connections but for now, we'll simply spawn threads ourselves. The required changes are:</p>
<b>

```python
    def run_service(self):
        connection = socket.socket()
        connection.bind(('localhost', self.server_port))

        # put the socket into listening mode
        connection.listen(5)

        while True:
            client_socket, addr = connection.accept()
            Thread(target=self.handle_client, args=(client_socket,), daemon=True).start()
```
</b>

</div>
</div>


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

The Basics

Threading Module

Multiprocessing

Concurrent Package

Async.io

Global Interpreter Lock

Interview Practise Problems

The End

Multiple Threads

Multiple Threads