У нас вы можете посмотреть бесплатно Python Interview Questions | Multithreading-Thread Safety, GIL, Sync Primitives & Interview Problems или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Master Python Multithreading — from the basics to advanced patterns — in one powerful video! Whether you're preparing for interviews, building high-performance applications, or want to finally understand how Python threads really work with the GIL, this video is your complete guide. In this deep-dive tutorial, you’ll learn: 🔹 Core Multithreading Concepts ◦ What is multithreading, and when to use it ◦ Understanding the GIL (Global Interpreter Lock) with practical examples ◦ threading.Thread explained with examples ◦ Using .join() correctly ◦ Thread lifecycle + common threading functions 🔹 I/O Bound vs CPU Bound Threads ◦ Which workloads benefit from threads ◦ Why do threads speed up I/O tasks ◦ Why threads struggle with CPU-intensive tasks under the GIL 🔹 Thread Synchronization & Locks ◦ threading.Lock ◦ threading.RLock ◦ threading.Event ◦ threading.Semaphore ◦ Producer–Consumer patterns using: ◦ Semaphore ◦ Event ◦ Condition ◦ Queue 🔹 Advanced Threading Tools ◦ threading.Condition ◦ queue.Queue ◦ threading.Barrier with a parallel matrix manipulation example 🔹 Retrieving Results From Threads ◦ Shared data with locks ◦ Using queue.Queue ◦ Subclassing Thread (returning data cleanly) 🔹 ThreadPoolExecutor ◦ When and why to use it ◦ Real-world use cases 🔹 Interview-Level Challenges ◦ Thread-safe LRU Cache ◦ Parallel Merge Sort By the end of this video, you’ll be ready to build thread-safe applications, optimize I/O heavy tasks, handle concurrency challenges, and confidently crack interview questions around Python threading & synchronization. 👉 Python Exception Handling - • Python Exception Handling in Hindi: From P... 👉 GitHub - https://github.com/incomputingworld/piq 00:00:00 Introduction 00:01:19 Multi-threading 00:03:11 threading.Thread class 00:05:44 threading.Thread Example (with/without GIL) 00:10:31 threading.Thread Example ( .join() ) 00:11:34 threading functions 00:16:51 IO Bound vs CPU Bound threads 00:19:44 Thread Synchronization 00:21:19 threading.Lock 00:23:59 threading.Rlock 00:27:13 threading.Event 00:34:57 threading.Semaphore 00:36:51 Producer/Consumer Pattern using Semaphore 00:42:54 Producer/Consumer Pattern using Event 00:44:59 Producer/Consumer Pattern - Event vs Semaphore 00:46:34 threading.Condition 00:50:59 Producer/Consumer Pattern using Condition 00:58:41 queue.Queue 01:05:13 Producer/Consumer Pattern using a Queue 01:07:01 threading.Barrier() 01:14:51 Parallel Matrix manipulation using Barrier 01:16:44 Retrieving Data from thread 01:17:30 Retrieving Data - shared data + Lock 01:18:38 Retrieving Data - queue.Queue 01:19:25 Retrieving Data - Thread subclass 01:21:17 Thread Exception Management 01:26:14 ThreadPoolExecutor Class 01:33:43 Interview Question#1 - thread-safe LRU cache 01:41:56 Interview Question#2 - parallel merge sort 01:50:50 Conclusion