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

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   # Send   
   <div class="ans">

<p>In the previous section, we formally introduced generators. Interestingly, we can also pass data to a generator function using the <code class="mthd">send()</code> method defined on the associated generator object. The generator function can receive the value using the following syntax:</p>
<b>

```python
    item = yield
```
</b>

<p>The <code class="mthd">send()</code> method can also return a value to the caller. Consider the example program below:</p>
<b>

```python
def generator_function():
    while True:
        item = yield
        print("received " + str(item))


if __name__ == "__main__":
    gen = generator_function()
    next(gen)
    gen.send(37)

```
</b>
</div>
</div>

<div>
   # Send   
   <div>

<p>In the previous section, we formally introduced generators. Interestingly, we can also pass data to a generator function using the <code>send()</code> method defined on the associated generator object. The generator function can receive the value using the following syntax:</p>
<b>

```python
    item = yield
```
</b>

<p>The <code>send()</code> method can also return a value to the caller. Consider the example program below:</p>
<b>

```python
def generator_function():
    while True:
        item = yield
        print("received " + str(item))


if __name__ == "__main__":
    gen = generator_function()
    next(gen)
    gen.send(37)

```
</b>
</div>
</div>

This lesson discusses sending values to a generator function.

The Basics

Threading Module

Multiprocessing

Concurrent Package

Async.io

Global Interpreter Lock

Interview Practise Problems

The End

Send

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