Focusing on Python 3.6 and higher, this concise handbook focuses on the essential core of the language, with updated code examples to illuminate how Python works and how to structure programs that can be more easily explained, tested, and debugged. Throughout, Devid Beazley reflects all he's learned teaching Python to scientists, engineers, and developers, and pushing the envelope of what makes Python tick.
Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow
Deep learning (DL) is a key component of today's exciting advances in machine learning and artificial intelligence. Learning Deep Learning is a complete guide to DL. Director of architecture at NVIDIA Magnus Ekman illuminates both the core concepts and the hands-on programming techniques needed to succeed. This book is ideal for developers, data scientists, analysts, and others—including those with no prior machine learning or statistics experience.
Inside the Android OS
Expert Android developers G. Blake Meike and Larry Schiefer respond to the real-world needs of embedded and IoT developers moving to Android with this comprehensive guide and reference for technical professionals who want to customize and integrate Android into embedded devices, and construct or maintain successful Android-based products. Replete with code examples, it encourages you to create your own working code as you read—whether for personal insight or a professional project in the fast-growing marketplace for smart IoT devices.