Harness the power of Python objects and data structures to implement algorithms for analyzing your data and efficiently extracting information
Bridge the gap between developer and data scientist by creating a modern open-source, Python-based toolset that works with Jupyter Notebook, and PixieDust.
Your one-stop guide to learning and implementing artificial neural networks with Keras effectively
Learn to implement complex data structures and algorithms using Python
This practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems.
Explore the high-in demand core DevOps strategies with powerful DevOps tools such as Ansible, Jenkins, and Chef
This book will give you an all encompassing view of the domain name ecosystem combined with a comprehensive set of operations strategies.
Get certified as an Azure architect by acing the 70-535 Architecting Microsoft Solutions (70-535) exam using this comprehensive guide with full coverage of the exam objectives
Get command of your organizational Big Data using the power of data science and analytics
Find out how to implement the REST architecture to build resilient software in Java with the help of the Spring 5.0 framework.
Leverage the full potential of the web to make your web sites better than native applications for every platform.
Find bottlenecks, identify the proper algorithm to use, optimize performance, and create really efficient Rust applications