Harness the power of Python objects and data structures to implement algorithms for analyzing your data and efficiently extracting information
Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include hands-on tutorials and projects.
Implement decentralized blockchain applications to build scalable Dapps
Build neural network models in text, vision and advanced analytics using PyTorch
Master shell basics and Unix tools and discover easy commands to perform complex tasks with speed
A comprehensive guide to get started with Java and gain insights into major concepts such as object-oriented, functional, and reactive programming
Learn the techniques for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications using examples on different functions of OpenCV.
Learn how to create interactive and visually aesthetic plots using the Bokeh package in Python
Build GPU-accelerated high performing applications with Python 2.7, CUDA 9, and open source libraries such as PyCUDA and scikit-cuda. We recommend the use of Python 2.7 as this version has stable support across all libraries used in this book.
Dive deeper into neural networks and get your models trained, optimized with this quick reference guide
Begin your iOS development journey using Swift 4 and XCode 9 with this easy to learn, practical guide.