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Python Concurrency for Senior Engineering Interviews - AI-Powered Course
4.4
Beginner
15h
Python Concurrency for Senior Engineering Interviews
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.
Join 2.8M developers at
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
1.
The Basics
18 Lessons
Get familiar with key concurrency concepts, including threads, processes, and parallelism.
IntroductionProgram vs Process vs ThreadConcurrency vs ParallelismCooperative vs Preemptive MultitaskingThroughput vs LatencySynchronous vs AsynchronousI/O Bound vs CPU BoundThread SafetyCritical Section & Race ConditionsDeadlock, Liveness & Reentrant LocksMutex vs SemaphoreMutex vs MonitorMesa vs Hoare MonitorsSemaphore vs MonitorGlobal Interpreter Lock... continuedAmdahl's LawMoore's Law
2.
Threading Module
16 Lessons
Grasp the fundamentals of Python threading, covering threads, locks, semaphores, and synchronization.
3.
Multiprocessing
20 Lessons
Master the steps to utilizing Python's multiprocessing module for parallel process execution.
4.
Concurrent Package
3 Lessons
Grasp the fundamentals of Python's concurrent package, including pool executors and future handling.
5.
Async.io
26 Lessons
Uncover async programming with Async.io, introducing coroutines, event loops, and concurrency.
6.
Global Interpreter Lock
6 Lessons
See how it works to manage Python concurrency, tackling GIL limitations for optimal performance.
7.
Interview Practise Problems
14 Lessons
Practice using concurrency concepts like blocking queues, token buckets, read-write locks, and synchronization challenges.
8.
The End
1 Lessons
Get familiar with the collaborative effort behind the course and engage on LinkedIn.
Certificate of Completion
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Course Author:
Developed by MAANG Engineers
Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.
Trusted by 2.8 million developers working at companies
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