This book teaches Python via 52 exercises. The idea is that you read them; type their code precisely (no copying and pasting!); fix your mistakes; then watch the programs run. As you do, author Zed Shaw shows you how a computer works; what good programs look like; and how to read, write, and think about code. .

<ASIN:0134692888>

This practical guide shows how data wrangling, the process of converting raw data into something truly useful, can be achieved. Authors Tye Rattenbury, Joe Hellerstein, Jeffrey Heer, Sean Kandel and Connor Carreras provide business analysts with an overview of various data wrangling techniques and tools, and put the practice of data wrangling into context by asking, "What are you trying to do and why?"

<ASIN:1491938927>

This book introduces an array of advanced techniques in machine learning. Authors Dr. Uday Kamath and Krishna Choppella cover topics including classification, clustering, anomaly detection, stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, deep learning, and big data batch and stream machine learning.

<ASIN:1785880519>

In this guide to delivering highly available SQL Server databases and applications, author Paul Bertucci presents in-depth coverage of SQL Server's full continuum of availability options, from the most extreme forms of fault tolerance down to "medium availability" options for less critical databases. He walks through traditional on-premises deployments; cloud deployments through Microsoft Azure and Amazon Web Services, hybrid deployments encompassing both on-premise and cloud components; and Big Data applications. 

<ASIN:0672337762>

The thinking behind this book is that Rails is a great tool for building web applications, but it's not the best at everything. Author David Bryant Copeland shows how to use the full stack of web development alongside Rails, from styling with Bootstrap, building an interactive user interface with Angular 4, to storing data quickly and reliably in PostgreSQL.

<ASIN:1680502204>

In this book, author Mark J Price shows how to build modern, cross-platform applications with .NET Core. The book covers the latest features of C# 7, and shows how to start creating professional web applications with ASP.NET Core. It targeted at readers who have some prior programming experience and want to gain a solid foundation with C#.

<ASIN:1787129551>

With a subtitle of Building Full-Stack Data Analytics Applications with Spark,  the revised second edition of this hands-on guide, shows how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools.Author Russell Jurney demonstrates how to compose a data platform for building, deploying, and refining analytics applications with Apache Kafka, MongoDB, ElasticSearch, d3.js, scikit-learn, and Apache Airflow.

<ASIN:1491960116>

This is a guide for building message-driven distributed systems that are resilient, responsive, and elastic.The authors, Dr. Roland Kuhn, Brian Hanafee and Jamie Allen, include patterns for messaging, flow control, resource management, and concurrency, along with practical issues like test-friendly designs. All patterns include concrete examples using Scala and Akka.

<ASIN:1617291803>

This book takes a minimalist approach to the traditional data structures course. It covers only those topics that are absolutely essential; the more esoteric structures and algorithms are left for later study. Author Lee Wittenberg has written the book from the ground up in C++, and uses features of the C++ Standard Template Library to illustrate important concepts.

<ASIN:1683920848>

This book is aimed at organizations that don’t have the budget to establish or outsource an information security (InfoSec) program. In this pragmatic guide, authors Lee Brotherston and Amanda Berlin provide a security-101 handbook with steps, tools, processes, and ideas to help drive maximum-security improvement without spending a fortune.

<ASIN:1491960388>

R has traditionally been seen as difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. This book avoids that error, aiming the material at users new to statistical programming and modeling. Author and professional data scientist Jared P. Lander focuses on the 20 percent of R functionality needed to accomplish 80 percent of modern data tasks.

<ASIN:013454692X>

This overview of cloud computing by R Chopra is written in a "self-teaching" format with tips and insights about cloud computing, its architecture, applications, information on security and privacy, and numerous case studies.The book also includes questions for discussion and "Cloud Computing Lab Experiments".