Grokking Concurrency by Kirill Bobrov (.PDF)

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File Size: 28.3 MB

Grokking Concurrency by Kirill Bobrov
Requirements: .PDF reader, 28.3 MB
Overview: This easy-to-read, hands-on guide demystifies concurrency concepts like threading, asynchronous programming, and parallel processing in any language. Perplexed by concurrency? Don’t be. This engaging, fully-illustrated beginner’s guide gets you writing the kind of high-performance code your apps deserve. Inside, you’ll find thorough explanations of concurrency’s core concepts—all explained with interesting illustrations, insightful examples, and detailed techniques you can apply to your own projects. Discover effective concurrency practices that will help you leverage multiple cores, excel with high loads, handle terabytes of data, and continue working after hardware and software failures. The core concepts in this guide will remain eternally relevant, whether you’re building web apps, IoT systems, or handling big data. Concurrency is an approach to running computer programs efficiently by separating them into tasks that can execute independently. This basic idea makes it possible to accelerate game graphics, train large AI models, rapidly scale web applications, streamline big data processing, and much more. Concurrency can get complicated, so this book gets you started gently with interesting examples, entertaining illustrations, and easy-to-follow Python code. Examples in Python. No prior experience with concurrency or high-performance computing required.
Genre: Non-Fiction > Tech & Devices

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