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Think Data Structures: Algorithms and Information Retrieval in Java
Think Data Structures: Algorithms and Information Retrieval in Java

If you’re a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering—data structures and algorithms—in a way that’s clearer, more concise, and more engaging than...

XQuery: Search Across a Variety of XML Data
XQuery: Search Across a Variety of XML Data

The W3C XQuery 3.1 standard provides a tool to search, extract, and manipulate content, whether it's in XML, JSON or plain text. With this fully updated, in-depth tutorial, you’ll learn to program with this highly practical query language.

Designed for query writers who have some knowledge of XML basics, but...

Why: A Guide to Finding and Using Causes
Why: A Guide to Finding and Using Causes

Can drinking coffee help people live longer? What makes a stock’s price go up? Why did you get the flu? Causal questions like these arise on a regular basis, but most people likely have not thought deeply about how to answer them.

This book helps you think about causality in a structured way: What is a cause, what...

Programming iOS 10: Dive Deep into Views, View Controllers, and Frameworks
Programming iOS 10: Dive Deep into Views, View Controllers, and Frameworks

If you’re grounded in the basics of Swift, Xcode, and the Cocoa framework, this book provides a structured explanation of all essential real-world iOS app components. Through deep exploration and copious code examples, you’ll learn how to create views, manipulate view controllers, and add features from iOS frameworks.

...
Introduction to Machine Learning with Python: A Guide for Data Scientists
Introduction to Machine Learning with Python: A Guide for Data Scientists

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available...

Network Security Through Data Analysis: From Data to Action
Network Security Through Data Analysis: From Data to Action

Traditional intrusion detection and logfile analysis are no longer enough to protect today’s complex networks. In the updated second edition of this practical guide, security researcher Michael Collins shows InfoSec personnel the latest techniques and tools for collecting and analyzing network traffic datasets. You’ll...

Learning jQuery - Fourth Edition 4th Revised
Learning jQuery - Fourth Edition 4th Revised

In 2005, inspired by pioneers in the field such as Dean Edwards and Simon Willison, John Resig put together a set of functions to make it easy to programmatically find elements on a web page and assign behaviors to them. By the time he first publicly announced his project in January 2006, he had added DOM modification and basic animations. He...

Using Docker: Developing and Deploying Software with Containers
Using Docker: Developing and Deploying Software with Containers

Docker containers offer simpler, faster, and more robust methods for developing, distributing, and running software than previously available. With this hands-on guide, you’ll learn why containers are so important, what you’ll gain by adopting Docker, and how to make it part of your development...

Test-Driven Development with Python: Obey the Testing Goat: Using Django, Selenium, and JavaScript
Test-Driven Development with Python: Obey the Testing Goat: Using Django, Selenium, and JavaScript

By taking you through the development of a real web application from beginning to end, the second edition of this hands-on guide demonstrates the practical advantages of test-driven development (TDD) with Python. You’ll learn how to write and run tests before building each part of your app, and then develop the minimum...

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas,...

Defensive Security Handbook: Best Practices for Securing Infrastructure
Defensive Security Handbook: Best Practices for Securing Infrastructure

Despite the increase of high-profile hacks, record-breaking data leaks, and ransomware attacks, many organizations don’t have the budget to establish or outsource an information security (InfoSec) program, forcing them to learn on the job. For companies obliged to improvise, this pragmatic guide provides a security-101 handbook...

Electronics Cookbook: Practical Electronic Recipes with Arduino and Raspberry Pi
Electronics Cookbook: Practical Electronic Recipes with Arduino and Raspberry Pi

If you’re among the many hobbyists and designers who came to electronics through Arduino and Raspberry Pi, this cookbook will help you learn and apply the basics of electrical engineering without the need for an EE degree. Through a series of practical recipes, you’ll learn how to solve specific problems while diving into...

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