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Python Concurrency for Senior Engineering Interviews
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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.

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Overview

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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.

Concurrency in Python is one of the most complex and advanced topics brought up during senior engineering interviews. Knowledge ...Show More

Content

104 Lessons31 Quizzes

The Basics

18 Lessons

Get familiar with key concurrency concepts, including threads, processes, and parallelism.

Introduction

Program vs Process vs Thread

Concurrency vs Parallelism

Cooperative vs Preemptive Multitasking

Throughput vs Latency

Synchronous vs Asynchronous

I/O Bound vs CPU Bound

Thread Safety

Critical Section & Race Conditions

Deadlock, Liveness & Reentrant Locks

Mutex vs Semaphore

Mutex vs Monitor

Mesa vs Hoare Monitors

Semaphore vs Monitor

Global Interpreter Lock

... continued

Amdahl's Law

Moore's Law

Threading Module

16 Lessons

Grasp the fundamentals of Python threading, covering threads, locks, semaphores, and synchronization.

Multiprocessing

20 Lessons

Master the steps to utilizing Python's multiprocessing module for parallel process execution.

Locks & Reentrant Lock

Barrier, Semaphore, Condition Variable

Working with Managers

Concurrent Package

3 Lessons

Grasp the fundamentals of Python's concurrent package, including pool executors and future handling.

Pool Executors

Futures

Miscellaneous Functions

Async.io

26 Lessons

Uncover async programming with Async.io, introducing coroutines, event loops, and concurrency.

Sending and Receiving

Generator Based Coroutines

... continued

Native Coroutines

... continued

Mixing Native & Generator Based Coroutines

Global Interpreter Lock

6 Lessons

See how it works to manage Python concurrency, tackling GIL limitations for optimal performance.

Asynchronous with Executors

Interview Practise Problems

14 Lessons

Practice using concurrency concepts like blocking queues, token buckets, read-write locks, and synchronization challenges.

Blocking Queue | Bounded Buffer | Consumer Producer

Non-Blocking Queue

Rate Limiting Using Token Bucket Filter

... continued

Thread Safe Deferred Callback

Implementing Semaphore

Read Write Lock

Unisex Bathroom Problem

Implementing a Barrier

Uber Ride Problem

Dining Philosophers

Barber Shop

Asynchronous to Synchronous Problem

Multithreaded Merge Sort

The End

1 Lessons

Get familiar with the collaborative effort behind the course and engage on LinkedIn.

Epilogue

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

C. H. Afzal

Developed by MAANG Engineers

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Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

AI Mock Interviews

Test your skills in a simulated interview setting. Receive personalized feedback based on your performance. Available for Coding Interviews, System Design, and more.

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