"Parallel Python with Dask" is not just a book for Python developers or data scientists. It's for anyone who wants to unlock the potential of parallel computing, whether you are a student, researcher, or professional. It also covers advanced topics like fault tolerance and scaling, essential for building robust and scalable parallel applications.
Put machine learning and neural networks into practice using production oriented, distributed trained, and rich robust ecosystem of python tools
This book is a comprehensive guide to understanding and utilizing PyTorch 2.0 for deep learning applications. Through step-by-step examples, the reader learns to perform basic arithmetic operations on tensors, manipulate them, and understand errors related to tensor shapes.
"Python Networking 101" is designed to provide readers with the skills required to excel as a network administrators. The practical approach and real-world examples ensure readers can implement the techniques learned in their professional careers.
Get onboard this journey into the land of streams. This is a complete hands-on book about Apache Flink, that follows real-life use cases and will help you learn how to create scalable end-to-end stream processing pipelines.
"Cloud Native Microservices With Kubernetes" is a hands-on, example-rich guide focused on real-world examples and practical learning that covers everything needed from the basics to the most advanced concepts.
"Hands-On Multi-Cloud Kubernetes" is an essential guide for anyone looking to understand Kubernetes and how it can be used to manage multi-cloud infrastructure. With eight comprehensive chapters, this book provides hands-on experience in setting up Kubernetes clusters, administering deployments and updates, and working with AWS and GCP tools.
With "Mastering Python Network Automation," you can streamline container orchestration, configuration management, and resilient networking with Python and its libraries, allowing you to emerge as a skilled network engineer or a strong DevOps professional
Practical Rust 1.x Cookbook is a must-have for both experienced and inexperienced Rust programmers looking to create high-performance and robust applications. This book will help you stay ahead of the curve in Rust programming by providing clear explanations, practical examples, and step-by-step illustrations.
Learn how to design systems at scale and prepare for system design interviews
Joncy Ber has these low-cost Raspberry Pi computers: can he hack a bank to get more money? He uses social engineering to exploit everyday people's online behavior and other hacking tips and tricks to break into secure systems. Can the authorities, or someone worse, catch up with him?
The book is for data monetization purposes, helps you to build bridge between IT department and business design to maximise data driven value creation. Data productizement and servitization are explained with real-world example case stories. This book is primarily for data business developers and contains just bare minimum of technical terms.
Stop fighting the infrastructure and start building the future. Building Software Platforms shows you how to transform raw cloud complexity into a seamless internal product. Learn the architectural blueprints and strategic plays to build a platform that gets out of the way, turning your developers from 'troubleshooters' into creative problem solvers.
This small book was written for just one purpose - explain the asynchrony concept from beginning to end.
Aproveche el poder de REST y JSON-RPC utilizando el framework más popular para Delphi