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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50 Algorithms Every Programmer Should Know. Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography - Second Edition

Imran Ahmad, Somaieh Nikpoor

Getting Started with Kubernetes. Extend your containerization strategy by orchestrating and managing large-scale container deployments - Third Edition

Jonathan Baier, Jesse White

Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python

Dario Radečić

Hands-On Generative Adversarial Networks with Keras. Your guide to implementing next-generation generative adversarial networks

Rafael Valle

Django 1.0 Website Development. Build powerful web applications, quickly and cleanly, with the Django application framework

Ayman Hourieh, Jacob Kaplan-Moss, Ayman Hourieh (EUR)

OpenCL Programming by Example. A comprehensive guide on OpenCL programming with examples with this book and

Koushik Bhattacharyya, Ravishekhar Banger

Build Gamified Websites with PHP and jQuery. Using gaming principles to make learning more engaging, motivating, and interactive is a growing trend in web development. It's called gamification, and this book is the complete introduction to its theory and practice

Detrick DeBurr

Mastering Machine Learning on AWS. Advanced machine learning in Python using SageMaker, Apache Spark, and TensorFlow

Dr. Saket S.R. Mengle, Maximo Gurmendez