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-quiz">
   # Question # 1
    <div class="qtn">
        <p>Consider the snippet below:</p>
<b>

```python
from multiprocessing import Value, Lock


lock = Lock()
pi = Value('d', 3.1415, lock=lock)

lock.acquire()
print(pi.value)
lock.release()
```
</b>
    </div>
</div>


What will be the output of running the above snippet?

<p>What will be the output of running the above snippet?</p>


from multiprocessing import Value, Lock


lock = Lock()
pi = Value('d', 3.1415, lock=lock)

lock.acquire()
print(pi.value)
lock.release()

<div class="card-quiz">
   # Question # 2
    <div class="qtn">
        <p>Consider the below snippet:</p>
<b>

```python
from multiprocessing import Process, Value, Semaphore
import multiprocessing


def child_process(item1, item2, sem):
    sem.acquire()
    print("{0} {1}".format(str(item1.value), str(item2)), flush=True)


if __name__ == '__main__':
    multiprocessing.set_start_method('fork')

    # intialize both variables to 1
    var1 = Value('I', 1)
    var2 = 1

    sem = Semaphore(0)

    process = Process(target=child_process, args=(var1, var2, sem))
    process.start()

    var1.value = 7
    var2 = 7
    sem.release()

    process.join()

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



<div>
   # Question # 1
    <div>
        <p>Consider the snippet below:</p>
<b>

```python
from multiprocessing import Value, Lock


lock = Lock()
pi = Value('d', 3.1415, lock=lock)

lock.acquire()
print(pi.value)
lock.release()
```
</b>
    </div>
</div>


<div>
   # Question # 2
    <div>
        <p>Consider the below snippet:</p>
<b>

```python
from multiprocessing import Process, Value, Semaphore
import multiprocessing


def child_process(item1, item2, sem):
    sem.acquire()
    print("{0} {1}".format(str(item1.value), str(item2)), flush=True)


if __name__ == '__main__':
    multiprocessing.set_start_method('fork')

    # intialize both variables to 1
    var1 = Value('I', 1)
    var2 = 1

    sem = Semaphore(0)

    process = Process(target=child_process, args=(var1, var2, sem))
    process.start()

    var1.value = 7
    var2 = 7
    sem.release()

    process.join()

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



The Basics

Threading Module

Multiprocessing

Concurrent Package

Async.io

Global Interpreter Lock

Interview Practise Problems

The End

Quiz 2

Question # 1