Wydawca: 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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RESTful Web API Design with Node.js. A step-by-step guide in the RESTful world of Node.js. - Second Edition

Valentin Bojinov

ADempiere 3.4 ERP Solutions. Implementing an Enterprise Resource Planning (ERP) system in your organization can be a smooth process when you follow this ADempiere tutorial. From understanding the basics to customizing for your own needs, it’s a great intro to an excellent system

Bayu Cahya Pamungkas, Redhaun Redhaun

The Art of Crafting User Stories. Unleash creativity and collaboration to deliver high-value products with a delightful user experience

Christopher Lee

Databricks ML in Action. Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment

Stephanie Rivera, Anastasia Prokaieva, Amanda Baker, Hayley Horn

Arduino Data Communications. Learn how to configure databases, MQTT, REST APIs, and store data over LoRaWAN, HC-12, and GSM

Robert Thas John

Intel Galileo Networking Cookbook. Over 50 recipes that will help you use the Intel Galileo board to build exciting network-connected projects

Marco Schwartz

Architecting AI Solutions on Salesforce. Design powerful and accurate AI-driven state-of-the-art solutions tailor-made for modern business demands

Lars Malmqvist

Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits. A practical guide to implementing supervised and unsupervised machine learning algorithms in Python

Tarek Amr