Developing Microservices with Node.js
Real world example explained chapter after chapter with code examples.
Useful concepts for other languages like Java or PHP
Easy to follow by people with little to none experience in Node.js
Node.js Version 0.12.2 and the latest compatible versions of Seneca and
Serverless Single Page Apps: Fast, Scalable, and Available
Don't waste your time building an application server. See how to build low-cost, low-maintenance, highly available, serverless single page web applications that scale into the millions of users at the click of a button. Quickly build reliable, well-tested single page apps that stay up and running 24/7 using Amazon Web Services. Avoid...
iOS Application Security: The Definitive Guide for Hackers and Developers
Eliminating security holes in iOS apps is critical for any developer who wants to protect their users from the bad guys. In iOS Application Security
, mobile security expert David Thiel reveals common iOS coding mistakes that create serious security problems and shows you how to find and fix them.
After a crash course...
This short book on Python descriptors is a collection of knowledge and ideas from many sources on dealing with and creating descriptors. And, after going through the things all descriptors have in common, the author explores ideas that have multiple ways of being implemented as well as completely new ideas never seen elsewhere before....
Adventures in Coding
Learn to code the "fun" way with eleven real projects for true beginners!
Adventures in Coding" is written specifically for young people who want to learn how to code, but don't know where to begin. No experience? No problem! This book starts from the very beginning to take you from newbie to app-builder in...
Visual Six Sigma: Making Data Analysis Lean (Wiley and SAS Business Series)
Streamline data analysis with an intuitive, visual Six Sigma strategy
Visual Six Sigma provides the statistical techniques that help you get more information from your data. A unique emphasis on the visual allows you to take a more active role in data-driven decision making, so you can leverage your contextual...
Beginning Backdrop CMS
Learn what Backdrop CMS is and how it fulfills the role of a content management system, along with how to install and configure it. This book teaches how to create and manage content, taxonomy, users, page layouts, and menus to get the best site possible. You'll also see how to install on shared hosting – which is...
Robert B. Parker's Kickback (Spenser)
PI Spenser, knight-errant of the Back Bay, returns in this stellar New York Times–bestselling addition to the iconic series from author Ace Atkins.
What started out as a joke landed seventeen-year-old Dillon Yates in a lockdown juvenile facility in Boston Harbor. When he set up a prank Twitter...
C++ Standard Library Quick Reference
This quick reference is a condensed guide to the essential data structures, algorithms, and functions provided by the C++ Standard Library. Used by millions of C++ programmers on a daily basis, the C++ Standard Library features core classes for strings, I/O streams, and various generic containers, as well as a comprehensive set of algorithms...
Go in Practice: Includes 70 Techniques
Go in Practice guides you through 70 real-world techniques in key areas like package management, microservice communication, and more. Following a cookbook-style Problem/Solution/Discussion format, this practical handbook builds on the foundational concepts of the Go language and introduces specific...
Beacon Technologies: The Hitchhiker's Guide to the Beacosystem
Learn the key standardsâiBeacon, Eddystone, Bluetooth 4.0, and AltBeaconâand how they work with other proximity technologies. Then build your understanding of the proximity framework and how to identify and deploy the best solutions for your own business, institutional, or consulting needs.
Python Data Analysis Cookbook
Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types
Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning
Authored by Ivan Idris, expert in python programming and proud
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