Apr 25 2024 Python Concurrency with asyncio, Video Edition BaDshaH LEARNING / e-learning - Tutorials 05:44 0 Released 2/2022MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English | Duration: 9h 15m | Size: 1.46 GBLearn 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 concurrentlyBuild web APIs and make concurrency web requests with aiohttpRun thousands of SQL queries concurrentlyCreate a map-reduce job that can process gigabytes of data concurrentlyUse threading with asyncio to mix blocking code with asyncio codePython 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 TechnologyIt'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 BookPython 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 InsideBuild web APIs and make concurrency web requests with aiohttpRun thousands of SQL queries concurrentlyCreate a map-reduce job that can process gigabytes of data concurrentlyUse threading with asyncio to mix blocking code with asyncio codeAbout the ReaderFor intermediate Python programmers. No previous experience of concurrency required.About the AuthorMatthew Fowler has over 15 years of software engineering experience in roles from architect to engineering director.https://rapidgator.net/file/edce83a3676cba15c499279f38eadf04https://rapidgator.net/file/8573bfac5caa0043f4e24c3398d0307ehttps://ddownload.com/6xvo4o5q5nb2https://ddownload.com/aqkjtp0w4no8 Related News Sql–Mysql Complete Master Bootcamp | Beginner-Expert (2023)From Zero To Async: A Complete Guide To Asyncio In PythonComplete Guide To Python Multithreading And MultiprocessingAzure Data Engineering-Master 6 Real-World Projects + FabricUdemy - Complete Machine Learning & Data Science with Python | A-Z Comments (0)Add comment Submit NEWEST RELEASES 05.05: DiskDigger 2.0.1.3923 Multilingual Portable 05.05: Total Uninstaller 2024 3.0.0.763 Portable 05.05: OneCommander Pro 3.78.3 Multilingual Portable 05.05: Internet Download Manager 6.42 Build 10 Multilingual + Retail 05.05: Eguasoft Volleyball Scoreboard 3.5.1.0 05.05: TWI Software IntegriWISE 1.0.1.24840 04.05: FameRing Smart Cutter for DV and DVB 1.11.2 04.05: Avira Phantom VPN Pro 2.44.1.19908 Multilingual 04.05: HTTP Logs Viewer 6.21 04.05: CableGuys ShaperBox 3.5.1 (Win/macOS) Recommended Filehosts Freinds Site