Verleger: Packt Publishing
Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools. As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

Hands-On Visual Studio 2022. A developer's guide to exploring new features and best practices in VS2022 for maximum productivity

Miguel Angel Teheran Garcia, Hector Uriel Perez Rojas

Practical Automated Machine Learning Using H2O.ai. Discover the power of automated machine learning, from experimentation through to deployment to production

Salil Ajgaonkar

Apache Flume: Distributed Log Collection for Hadoop. Design and implement a series of Flume agents to send streamed data into Hadoop

Steve Hoffman, Steven Hoffman

Instant MapReduce Patterns - Hadoop Essentials How-to. Practical recipes to write your own MapReduce solution patterns for Hadoop programs

Liyanapathirannahelage H Perera

Learn Power BI. A comprehensive, step-by-step guide for beginners to learn real-world business intelligence - Second Edition

Greg Deckler

Learning PrimeFaces Extensions Development. This book covers all the knowledge you need to start developing extended or advanced PrimeFaces applications. With lots of screenshots and a clear step-by-step approach, it makes learning an enjoyable process

Sudheer Jonna

CMS Made Simple 1.6: Beginner's Guide. Create a fully functional and professional website using CMS Made Simple

Sofia Hauschildt, Ted Kulp (USD)

LLVM Cookbook. Over 80 engaging recipes that will help you build a compiler frontend, optimizer, and code generator using LLVM

Mayur Pandey, Suyog Sarda