Regression Models for Data Science in RThe ideal reader for this book will be quantitatively literate and has a basic understanding of statistical concepts and R programming. The book gives a rigorous treatment of the elementary concepts of regression models from a practical perspective. After reading the book and watching the associated videos, students will be able to perform multivariable regression models and understand their interpretations. ...
Angular for Material DesignBuild Angular applications faster and better with TypeScript and Material Design. You will learn how to build a web interface and use Google's open source Angular Material library of ready-made and easy-to-use components.
This book uses Angular with TypeScript (a superset to JavaScript) to enable use of data types and take advantage of programming constructs such as classes, interfaces, generic templates, and more. You also will utilize various Angular features, including data binding, components, services, etc. You will build a single page application with the help of routing capabilities available out of the box (Angular CLI) and interface with remote services over HTTP. ...
NGINX Unit CookbookAlongside its popular web server, NGINX provides a dynamic application server that supports a RESTful JSON API. The open source NGINX Unit server deploys configuration changes without service disruptions and runs apps built with multiple languages and frameworks. This updated cookbook shows developers, DevOps personnel, network admins, and cloud infrastructure pros how to quickly get started with NGINX Unit.
Hands-on recipes demonstrate Unit's new approach and show you how to deploy and configure this server for different applications. You'll learn how to run applications written in different languages on the same server, how to use NGINX Unit as the foundation for your web application development environment, and how Unit's RESTful API simplifies configuration. ...
Semantic Modeling for DataWhat value does semantic data modeling offer? As an information architect or data science professional, let's say you have an abundance of the right data and the technology to extract business gold - but you still fail. The reason? Bad data semantics.
In this practical and comprehensive field guide, author Panos Alexopoulos takes you on an eye-opening journey through semantic data modeling as applied in the real world. You'll learn how to master this craft to increase the usability and value of your data and applications. You'll also explore the pitfalls to avoid and dilemmas to overcome for building high-quality and valuable semantic representations of data. ...
Data Management at ScaleAs data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you'll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption.
Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. ...
Python re(gex)?Scripting and automation tasks often need to extract particular portions of text from input data or modify them from one format to another.
This book will help you learn Python Regular Expressions, a mini-programming language for all sorts of text processing needs.
The book heavily leans on examples to present features of regular expressions one by one. It is recommended that you manually type each example and experiment with them.
You should have prior experience working with Python, should know concepts like string formats, string methods, list comprehension and so on. ...
70 Tips and Tricks for Mastering the CISSP ExamLearn how to think and apply knowledge in a practical way. Tackling the CISSP exam is vastly different from simply understanding the subject matter. Even the most experienced security professionals can fail because the questions are tricky and ask the test taker to pick the best of the options given.
The CISSP exam conducted by ISC2 is the hardest and most rewarded cybersecurity examination. The test has several domains and sub-domains and covers a wide range of topics on security, including cyber and physical building security fields. It also covers breaches, discovery of breaches, and how to report data breaches.
Because the subject area is vast and the questions are almost never repeated, it is hard for the exam taker to memorize or quickly discover the correct solution. The four options given as answers typically have two very close matches to the question. With quick analysis, it is possible to discover from the verbiage of a question what is truly being asked and learn how t ...
Biopython: Tutorial and CookbookThe Biopython Project is an international association of developers tools for computational molecular biology. Python is an object oriented, interpreted,flexible language that is becoming increasingly popular for scientific computing. Python is easy to learn, hasa very clear syntax and can easily be extended with modules written in C, C++ or FORTRAN.
Thegoal of Biopython is to make it as easy as possible to use Python for bioinformatics by creating high-quality, reusable modules and classes.
Biopython features include parsers for various Bioinformatics file formats (BLAST, Clustalw, FASTA, Genbank,...), access to online services (NCBI, Expasy,...), interfaces to commonand not-so-common programs (Clustalw, DSSP, MSMS...), a standard sequence class, various clusteringmodules, a KD tree data structure etc. ...
Rational Cybersecurity for BusinessUse the guidance in this comprehensive field guide to gain the support of your top executives for aligning a rational cybersecurity plan with your business. You will learn how to improve working relationships with stakeholders in complex digital businesses, IT, and development environments. You will know how to prioritize your security program, and motivate and retain your team.
Misalignment between security and your business can start at the top at the C-suite or happen at the line of business, IT, development, or user level. It has a corrosive effect on any security project it touches. But it does not have to be like this.
Author Dan Blum presents valuable lessons learned from interviews with over 70 security and business leaders. You will discover how to successfully solve issues related to: risk management, operational security, privacy protection, hybrid cloud management, security culture and user awareness, and communication challenges.
This open access book presents si ...
Learn Docker in a Month of LunchesGo from zero to production readiness with Docker in 22 bite-sized lessons! Learn Docker in a Month of Lunches is an accessible task-focused guide to Docker on Linux, Windows, or Mac systems. In it, you'll learn practical Docker skills to help you tackle the challenges of modern IT, from cloud migration and microservices to handling legacy systems. There's no excessive theory or niche-use cases - just a quick-and-easy guide to the essentials of Docker you'll use every day.
The idea behind Docker is simple: package applications in lightweight virtual containers that can be easily installed. The results of this simple idea are huge! Docker makes it possible to manage applications without creating custom infrastructures. Free, open source, and battle-tested, Docker has quickly become must-know technology for developers and administrators.
Learn Docker in a Month of Lunches introduces Docker concepts through a series of brief hands-on lessons. Following a learning path perfected b ...