Publisher: 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.

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Puppet 8 for DevOps Engineers. Automate your infrastructure at an enterprise scale

David Sandilands, Nigel Kersten

Splunk Operational Intelligence Cookbook. With Splunk, reporting and communicating insight is simple – find out with this Splunk book, created to help you unlock more effective Business Intelligence

Josh Diakun, Derek Mock, Paul R. Johnson

LaTeX Cookbook. Over 90 hands-on recipes for quickly preparing LaTeX documents to solve various challenging tasks

Stefan Kottwitz

Test-Driven iOS Development with Swift. Create fully-featured and highly functional iOS apps by writing tests first

Dr. Dominik Hauser

Getting Started with BizTalk Services. BizTalk Services offers great possibilities for bringing enterprises together in the cloud, and this book is the perfect introduction to it all. Packed with real-world scenarios, you will soon be designing your own tailor-made integration solutions

Karthik Bharathy, Jon Fancey

Angular Projects. Build modern web apps in Angular 16 with 10 different projects and cutting-edge technologies - Third Edition

Aristeidis Bampakos, Mark Thompson

Learning Apex Programming. Create business applications using Apex to extend and improve the usefulness of the Salesforce1 Platform

Michael Wicherski, Matthew Kaufman

Hands-On Generative Adversarial Networks with PyTorch 1.x. Implement next-generation neural networks to build powerful GAN models using Python

John Hany, Greg Walters