Видавець: 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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Applied Geospatial Data Science with Python. Leverage geospatial data analysis and modeling to find unique solutions to environmental problems

David S. Jordan

Azure Data and AI Architect Handbook. Adopt a structured approach to designing data and AI solutions at scale on Microsoft Azure

Olivier Mertens, Breght Van Baelen

Hands-On One-shot Learning with Python. Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch

Shruti Jadon, Ankush Garg

IBM DB2 9.7 Advanced Application Developer Cookbook. This cookbook is essential reading for every ambitious IBM DB2 application developer. With over 70 practical recipes, it will help you master the most sophisticated elements and techniques used in designing high quality DB2 applications

Sanjay Kumar, Mohankumar Saraswatipura

LaTeX Graphics with TikZ. A practitioner's guide to drawing 2D and 3D images, diagrams, charts, and plots

Stefan Kottwitz

Android Application Programming with OpenCV. For Java developers OpenCV is a fantastic opportunity to benefit from the popularity of image related mobile apps on Android. This book teaches you all you need to know about computer vision with practical projects

Joseph Howse

Git Best Practices Guide. Master the best practices of Git with the help of real-time scenarios to maximize team efficiency and workflow

PIDOUX Eric

Applied Deep Learning and Computer Vision for Self-Driving Cars. Build autonomous vehicles using deep neural networks and behavior-cloning techniques

Sumit Ranjan, Dr. S. Senthamilarasu