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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.
4.7
104 Lessons
15h
Join 2.9 million developers at
Join 2.9 million developers at
Learning Roadmap
1.
The Basics
The Basics
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
Threading Module
Grasp the fundamentals of Python threading, covering threads, locks, semaphores, and synchronization.
3.
Multiprocessing
Multiprocessing
20 Lessons
20 Lessons
Master the steps to utilizing Python's multiprocessing module for parallel process execution.
4.
Concurrent Package
Concurrent Package
3 Lessons
3 Lessons
Grasp the fundamentals of Python's concurrent package, including pool executors and future handling.
5.
Async.io
Async.io
26 Lessons
26 Lessons
Uncover async programming with Async.io, introducing coroutines, event loops, and concurrency.
6.
Global Interpreter Lock
Global Interpreter Lock
6 Lessons
6 Lessons
See how it works to manage Python concurrency, tackling GIL limitations for optimal performance.
7.
Interview Practise Problems
Interview Practise Problems
14 Lessons
14 Lessons
Practice using concurrency concepts like blocking queues, token buckets, read-write locks, and synchronization challenges.
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Developed by MAANG Engineers
ABOUT THIS COURSE
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.
ABOUT THE AUTHOR
C. H. Afzal
A veteran of the Silicon Valley, I have been fortunate enough to work at some of the iconic companies of present times including Microsoft, Netflix, Cloudera, and Oracle. I have a keen interest in algorithms, product design, finance, and problem-solving.
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