Название: Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS
Автор: Qingzhao Yu, Bin Li
Издательство: CRC Press
Год: 2022
Формат: PDF
Страниц: 294
Размер: 10 Mb
Язык: English

Third-variable effect refers to the effect transmitted by third-variables that intervene in the relationship between an exposure and a response variable. Differentiating between the indirect effect of individual factors from multiple third-variables is a constant problem for modern researchers.
Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS introduces general definitions of third-variable effects that are adaptable to all different types of response (categorical or continuous), exposure, or third-variables. Using this method, multiple third- variables of different types can be considered simultaneously, and the indirect effect carried by individual third-variables can be separated from the total effect. Readers of all disciplines familiar with introductory statistics will find this a valuable resource for analysis.

Название: Mastering Sketch: A Beginner's Guide (Mastering Computer Science)
Автор: Sufyan bin Uzayr
Издательство: CRC Press
Год: 2022
Формат: True PDF
Страниц: 247
Размер: 15 Mb
Язык: English

When it comes to designing and prototyping for the web, nothing beats Sketch. If you are passionate about designing UI/UX for mobile or web applications, Sketch is the way to go! And to learn Sketch, look no further thanMastering Sketch: A Beginner's Guide.

Название: Scaling Python with Ray: Exploring Actors, Distributed Data, and Friends in Serverless and Cloud Environments (Early Release)
Автор: Holden Karau, Boris Lublinsky
Издательство: O’Reilly Media, Inc.
Год: 2022-02-03
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Serverless computing enables developers to concentrate solely on their applications rather than worry about where they've been deployed. With the Ray general-purpose serverless implementation in Python, programmers and data scientists can hide servers, implement stateful applications, support direct communication between tasks, and access hardware accelerators. In this book, authors Holden Karau and Boris Lublinsky show you how to scale existing Python applications and pipelines, allowing you to stay in the Python ecosystem while avoiding single points of failure and manual scheduling. If your data processing has grown beyond what a single computer can handle, this book is for you.

Название: Bash Idioms: Write Powerful, Flexible, Readable Shell Scripts (Early Release)
Автор: Carl Albing and JP Vossen
Издательство: O’Reilly Media, Inc.
Год: 2022-02-03
Страниц: 194
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Shell scripts are everywhere, especially those written in bash compatible syntax, and it's extremely useful to be able to understand and write them, but they can be complex and obscure. Complexity is the enemy of security, but it's also the enemy of readability and understanding. With this practical book, you'll learn how to decipher old bash code and write new code that's as clear and readable as possible. Your future you will thank you.

Название: DevOps Tools for Java Developers: Best Practices from Source Code to Production Containers (Fifth Early Release)
Автор: Stephen Chin, Melissa McKay, Ixchel Ruiz
Издательство: O’Reilly Media, Inc.
Год: 2022-02-03
Страниц: 348
Язык: английский
Формат: epub
Размер: 25.8 MB

With the rise of DevOps, low-cost cloud computing, and container technologies, the way Java developers approach development today has changed dramatically. This practical guide helps you take advantage of microservices, serverless, and cloud native technologies using the latest DevOps techniques to simplify your build process and create hyperproductive teams.

Название: C++ Software Design: Design Principles and Patterns for High-Quality Software (Third Early Release)
Автор: Klaus Iglberger
Издательство: O’Reilly Media, Inc.
Год: 2022-02-03
Страниц: 196
Язык: английский
Формат: pdf, epub
Размер: 10.3 MB

Good software design is essential for the success of your project, but designing software is hard to do. You need to have a deep understanding of the consequences of design decisions and a good overview of available design alternatives. With this book, experienced C++ developers will get a thorough, practical, and unparalleled overview of software design with this modern language.

Название: Cloud Native DevOps with Kubernetes: Building, Deploying, and Scaling Modern Applications in the Cloud, 2nd Edition (Fourth Early Release)
Автор: Justin Domingus, John Arundel
Издательство: O’Reilly Media, Inc.
Год: 2022-02-03
Страниц: 440
Язык: английский
Формат: pdf, epub
Размер: 15.2 MB

Kubernetes has become the operating system of today's cloud native world, providing a reliable and scalable platform for running containerized workloads. In this friendly, pragmatic book, cloud experts Justin Domingus and John Arundel show your development and operations staff what Kubernetes can do--and what you can do with it. This updated second edition guides you through the growing Kubernetes ecosystem and provides practical solutions to everyday problems using tools currently in use in the software industry. You'll walk through an example containerized application running in Kubernetes step-by-step, from the development environment through the continuous deployment pipeline, with patterns you can use for your own applications. Make your development teams lean, fast, and effective by adopting Kubernetes and DevOps principles.

Название: Statistics for Data Scientists: An Introduction to Probability, Statistics, and Data Analysis
Автор: Maurits Kaptein, Edwin van den Heuvel
Издательство: Springer
Серия: Undergraduate Topics in Computer Science
Год: 2022
Страниц: 341
Язык: английский
Формат: pdf (true)
Размер: 14.8 MB

This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis – supported by numerous real data examples and reusable [R] code – with a rigorous treatment of probability and statistical principles. Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for Data Science.

Название: Getting the Most out of Node.js Frameworks: The Essential Tools and Libraries
Автор: Sufyan bin Uzayr
Издательство: CRC Press
Год: 2022
Страниц: 189
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Gain the knowledge you need to navigate your way confidently through the ever-expanding landscape of modern jаvascript technologies. With over one hundred Node.js frameworks available and the number rising every month, it is becoming increasingly difficult to avoid jаvascript fatigue and keep abreast of the developments that are most useful and relevant to your own projects. In such a saturated environment, the knowledge of exactly which tools will best fit your goals is invaluable. This book will guide you through the quagmire by clearly and comprehensively outlining the most practically useful Node frameworks, libraries and tools, and how they might be employed in your own projects. You will learn about jаvascript frameworks such as Polymer, Webix, Aurelia, Svelte, Meteor, and many, many more.

Название: Fast Python for Data Science (MEAP) V8
Автор: Tiago Rodriques Antao
Издательство: Manning Publications
Год: 2022 V8
Формат: PDF
Страниц: 273
Размер: 23,4 Mb
Язык: English

Master these effective techniques to reduce costs and run times, handle huge datasets, and implement complex machine learning applications efficiently in Python.
Fast Python for Data Science is your guide to optimizing every part of your Python-based data analysis process, from the pure Python code you write to managing the resources of modern hardware and GPUs. You'll learn to rewrite inefficient data structures, improve underperforming code with multithreading, and simplify your datasets without sacrificing accuracy.