Python Concurrency with asyncio, Video Edition

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Python Concurrency with asyncio, Video Edition
Released 2/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 9h 15m | Size: 1.46 GB​

Learn how to speed up slow Python code with concurrent programming and the cutting-edge asyncio library.

Use coroutines and tasks alongside async/await syntax to run code concurrently
Build web APIs and make concurrency web requests with aiohttp
Run thousands of SQL queries concurrently
Create a map-reduce job that can process gigabytes of data concurrently
Use threading with asyncio to mix blocking code with asyncio code

Python is flexible, versatile, and easy to learn. It can also be very slow compared to lower-level languages. Python Concurrency with asyncio teaches you how to boost Python's performance by applying a variety of concurrency techniques. You'll learn how the complex-but-powerful asyncio library can achieve concurrency with just a single thread and use asyncio's APIs to run multiple web requests and database queries simultaneously. The book covers using asyncio with the entire Python concurrency landscape, including multiprocessing and multithreading.

About the Technology
It's easy to overload standard Python and watch your programs slow to a crawl. Th e asyncio library was built to solve these problems by making it easy to divide and schedule tasks. It seamlessly handles multiple operations concurrently, leading to apps that are lightning fast and scalable.

About the Book
Python Concurrency with asyncio introduces asynchronous, parallel, and concurrent programming through hands-on Python examples. Hard-to-grok concurrency topics are broken down into simple flowcharts that make it easy to see how your tasks are running. You'll learn how to overcome the limitations of Python using asyncio to speed up slow web servers and microservices. You'll even combine asyncio with traditional multiprocessing techniques for huge improvements to performance.

What's Inside
Build web APIs and make concurrency web requests with aiohttp
Run thousands of SQL queries concurrently
Create a map-reduce job that can process gigabytes of data concurrently
Use threading with asyncio to mix blocking code with asyncio code

About the Reader
For intermediate Python programmers. No previous experience of concurrency required.

About the Author
Matthew Fowler has over 15 years of software engineering experience in roles from architect to engineering director.

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Download Free Download : Python Concurrency with asyncio, Video Edition
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:1.46 GB
​

Files Included :

Spoiler

Chapter 1 Getting to know asyncio.mp4 (18.47 MB)
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Chapter 1 How an event loop works.mp4 (7.66 MB)
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Chapter 1 How single-threaded concurrency works.mp4 (11.95 MB)
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Chapter 1 Summary.mp4 (4.72 MB)
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Chapter 1 Understanding concurrency, parallelism, and multitasking.mp4 (17.58 MB)
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Chapter 1 Understanding processes, threads, multithreading, and multiprocessing.mp4 (14.19 MB)
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Chapter 1 Understanding the global interpreter lock.mp4 (22.76 MB)
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Chapter 1 What is IO-bound and what is CPU-bound.mp4 (4.69 MB)
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Chapter 10 Implementing the product listing API.mp4 (63.52 MB)
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Chapter 10 Introducing the backend-for-frontend pattern.mp4 (7.6 MB)
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Chapter 10 Microservices.mp4 (15.84 MB)
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Chapter 10 Summary.mp4 (2.98 MB)
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Chapter 11 Conditions.mp4 (16.35 MB)
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Chapter 11 Limiting concurrency with semaphores.mp4 (18.12 MB)
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Chapter 11 Locks.mp4 (11.66 MB)
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Chapter 11 Notifying tasks with events.mp4 (14.31 MB)
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Chapter 11 Summary.mp4 (2.73 MB)
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Chapter 11 Synchronization.mp4 (26.48 MB)
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Chapter 12 Asynchronous queues.mp4 (64.2 MB)
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Chapter 12 LIFO queues.mp4 (3.74 MB)
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Chapter 12 Priority queues.mp4 (16.66 MB)
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Chapter 12 Summary.mp4 (2.68 MB)
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Chapter 13 Communicating with subprocesses.mp4 (10.71 MB)
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Chapter 13 Managing subprocesses.mp4 (46.43 MB)
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Chapter 13 Summary.mp4 (3.85 MB)
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Chapter 14 Advanced asyncio.mp4 (11.45 MB)
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Chapter 14 Context variables.mp4 (10.18 MB)
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Chapter 14 Creating a custom event loop.mp4 (48.11 MB)
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Chapter 14 Forcing an event loop iteration.mp4 (4.84 MB)
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Chapter 14 Summary.mp4 (2.8 MB)
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Chapter 14 Using different event loop implementations.mp4 (7.46 MB)
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Chapter 2 Accessing and manually managing the event loop.mp4 (8.34 MB)
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Chapter 2 asyncio basics.mp4 (20.39 MB)
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Chapter 2 Canceling tasks and setting timeouts.mp4 (14.82 MB)
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Chapter 2 Introducing long-running coroutines with sleep.mp4 (8.56 MB)
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Chapter 2 Measuring coroutine execution time with decorators.mp4 (7.52 MB)
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Chapter 2 Running concurrently with tasks.mp4 (15.19 MB)
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Chapter 2 Summary.mp4 (7.1 MB)
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Chapter 2 Tasks, coroutines, futures, and awaitables.mp4 (12.62 MB)
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Chapter 2 The pitfalls of coroutines and tasks.mp4 (13.59 MB)
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Chapter 2 Using debug mode.mp4 (6.23 MB)
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Chapter 3 An echo server on the asyncio event loop.mp4 (23.37 MB)
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Chapter 3 A first asyncio application.mp4 (17.2 MB)
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Chapter 3 Connecting to a server with Telnet.mp4 (15.27 MB)
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Chapter 3 Shutting down gracefully.mp4 (17.67 MB)
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Chapter 3 Summary.mp4 (7.18 MB)
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Chapter 3 Using the selectors module to build a socket event loop.mp4 (14.84 MB)
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Chapter 3 Working with non-blocking sockets.mp4 (8.91 MB)
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Chapter 4 Asynchronous context managers.mp4 (28.16 MB)
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Chapter 4 Concurrent web requests.mp4 (12.8 MB)
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Chapter 4 Finer-grained control with wait.mp4 (35.83 MB)
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Chapter 4 Processing requests as they complete.mp4 (13.76 MB)
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Chapter 4 Running requests concurrently with gather.mp4 (23.22 MB)
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Chapter 4 Running tasks concurrently, revisited.mp4 (8.96 MB)
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Chapter 4 Summary.mp4 (6.38 MB)
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Chapter 5 Asynchronous generators and streaming result sets.mp4 (25.39 MB)
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Chapter 5 Connecting to a Postgres database.mp4 (5.65 MB)
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Chapter 5 Defining a database schema.mp4 (6.62 MB)
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Chapter 5 Executing queries concurrently with connection pools.mp4 (34.13 MB)
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Chapter 5 Executing queries with asyncpg.mp4 (8.96 MB)
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Chapter 5 Managing transactions with asyncpg.mp4 (15.7 MB)
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Chapter 5 Non-blocking database drivers.mp4 (8.5 MB)
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Chapter 5 Summary.mp4 (3.89 MB)
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Chapter 6 Handling CPU-bound work.mp4 (17.98 MB)
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Chapter 6 Multiple processes, multiple event loops.mp4 (10.56 MB)
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Chapter 6 Shared data and locks.mp4 (33.9 MB)
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Chapter 6 Solving a problem with MapReduce using asyncio.mp4 (37.17 MB)
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Chapter 6 Summary.mp4 (4.73 MB)
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Chapter 6 Using process pools.mp4 (10.92 MB)
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Chapter 6 Using process pool executors with asyncio.mp4 (17.01 MB)
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Chapter 7 Event loops in separate threads.mp4 (48.54 MB)
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Chapter 7 Handling blockingwork with threads.mp4 (29.38 MB)
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Chapter 7 Locks, shared data, and deadlocks.mp4 (27.69 MB)
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Chapter 7 Summary.mp4 (4.03 MB)
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Chapter 7 Using threads for CPU-bound work.mp4 (24.91 MB)
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Chapter 7 Using threads with asyncio.mp4 (28.14 MB)
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Chapter 8 Creating a chat server and client.mp4 (22.05 MB)
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Chapter 8 Creating servers.mp4 (9.29 MB)
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Chapter 8 Non-blocking command-line input.mp4 (44.44 MB)
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Chapter 8 Streams.mp4 (8.3 MB)
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Chapter 8 Stream readers and stream writers.mp4 (14.51 MB)
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Chapter 8 Summary.mp4 (3.84 MB)
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Chapter 8 Transports and protocols.mp4 (16.58 MB)
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Chapter 9 ASGI with Starlette.mp4 (20.6 MB)
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Chapter 9 Django asynchronous views.mp4 (31.14 MB)
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Chapter 9 Summary.mp4 (1.44 MB)
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Chapter 9 The asynchronous server gateway interface.mp4 (9.4 MB)
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Chapter 9 Web applications.mp4 (50.56 MB)
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