The Kubernetes Operator Framework Book. Overcome complex Kubernetes cluster management challenges with automation toolkits

Michael Dame

From incomplete collections of knowledge and varying design approaches to technical knowledge barriers, Kubernetes users face various challenges when developing their own operators. Knowing how to write, deploy, and pack operators makes cluster management automation much easier – and that's what this book is here to teach you.Beginning with operators and Operator Framework fundamentals, the book delves into how the different components of Operator Framework (such as the Operator SDK, Operator Lifecycle Manager, and OperatorHub.io) are used to build operators. You’ll learn how to write a basic operator, interact with a Kubernetes cluster in code, and distribute that operator to users. As you advance, you’ll be able to develop a sample operator in the Go programming language using Operator SDK tools before running it locally with Operator Lifecycle Manager, and also learn how to package an operator bundle for distribution. The book covers best practices as well as sample applications and case studies based on real-world operators to help you implement the concepts you’ve learned.By the end of this Kubernetes book, you’ll be able to build and add application-specific operational logic to a Kubernetes cluster, making it easier to automate complex applications and augment the platform.

The Machine Learning Solutions Architect Handbook. Create machine learning platforms to run solutions in an enterprise setting

David Ping

When equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you’ll need to become one. You’ll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch. Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You’ll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. And finally, you'll get acquainted with AWS AI services and their applications in real-world use cases.By the end of this book, you’ll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional.

Building Online Stores with osCommerce: Beginner Edition. A step by step introduction to osCommerce

David Mercer

Using an easy-to-read and engaging style, this book introduces the fundamentals of osCommerce, and helps you build your first online store. It covers the out-of-the-box features of osCommerce, but it also shows you how to customize the application to your own needs.The book starts with the basics of downloading and installing osCommerce, or simply how to enable it on your Internet domain using the tools provided by your host. All of the most important configuration issues are explained, with clear instructions and advice to help you make the right choices.Once osCommerce is installed and configured, you will take a good look at how to work with your store's data including product information as well as other data which is responsible for keeping your site healthy.The all important topic of customization is also dealt with comprehensively. You will see how to develop attractive sites that will make your store a pleasure to browse and your products a pleasure to buy!Of course, no discussion on osCommerce would be complete without a look at how to obtain and treat payments. Using the modules provided with osCommerce you will be collecting money from your happy customers in no time!Once the reader has a fully fledged, and operational site it is time to look at deployment? an important topic for discussion if development has taken place on a development machine.The appendix will add a few tools to your armory and shed some light as to what is going on behind the scenes in case things go awry.

CiviCRM Cookbook. Improve your CiviCRM capabilities with this clever cookbook. Packed with recipes and screenshots, it's the natural way to dig deeper into the software and achieve more for your nonprofit or civic sector organization

ANTHONY HORROCKS, Dave Greenberg

CiviCRM is a web-based, open source, Constituent Relationship Management (CRM) software geared toward meeting the needs of non-profit and other civic-sector organizations.Organizations realize their mission via CiviCRM through contact management, fundraising, event management, member management, mass e-mail marketing, peer-to-peer campaigns, case management, and much more.CiviCRM is localized in over 20 languages including: Chinese (Taiwan, China), Dutch, English (Australia, Canada, U.S., UK), French (France, Canada), German, Italian, Japanese, Russian, and Swedish.CiviCRM Cookbook will enhance your CiviCRM skills. It has recipes to help you use CiviCRM more efficiently, integrate it with CMSs, and also develop CiviCRM.This book begins with recipes that help save time and effort with CiviCRM. This is followed by recipes for organizing data more efficiently and managing profiles.Then you will learn authentication and authorization and managing communication with contacts.Then you will be guided on using the searching feature and preparing reports. We will then talk about integrating Drupal and CiviCRM. You will also be taught to manage events effectively. Finally, learn about CiviCampaign, Civimember, and developing CiviCRM.

Learning Cocos2d-x Game Development. Learn cross-platform game development with Cocos2d-x

Siddharth Shekar

Scala: Guide for Data Science Professionals. Build robust data pipelines with Scala

Arun Manivannan, Pascal Bugnion, Patrick R. Nicolas

Scala is especially good for analyzing large sets of data as the scale of the task doesn’t have any significant impact on performance. Scala’s powerful functional libraries can interact with databases and build scalable frameworks — resulting in the creation of robust data pipelines. The first module introduces you to Scala libraries to ingest, store, manipulate, process, and visualize data. Using real world examples, you will learn how to design scalable architecture to process and model data — starting from simple concurrency constructs and progressing to actor systems and Apache Spark. After this, you will also learn how to build interactive visualizations with web frameworks.Once you have become familiar with all the tasks involved in data science, you will explore data analytics with Scala in the second module. You’ll see how Scala can be used to make sense of data through easy to follow recipes. You will learn about Bokeh bindings for exploratory data analysis and quintessential machine learning with algorithms with Spark ML library. You’ll get a sufficient understanding of Spark streaming, machine learning for streaming data, and Spark graphX. Armed with a firm understanding of data analysis, you will be ready to explore the most cutting-edge aspect of data science — machine learning. The final module teaches you the A to Z of machine learning with Scala. You’ll explore Scala for dependency injections and implicits, which are used to write machine learning algorithms. You’ll also explore machine learning topics such as clustering, dimentionality reduction, Naïve Bayes, Regression models, SVMs, neural networks, and more. This learning path combines some of the best that Packt has to offer into one complete, curated package. It includes content from the following Packt products:• Scala for Data Science, Pascal Bugnion• Scala Data Analysis Cookbook, Arun Manivannan • Scala for Machine Learning, Patrick R. Nicolas

Big Data Analytics. Real time analytics using Apache Spark and Hadoop

Venkat Ankam

Big Data Analytics book aims at providing the fundamentals of Apache Spark and Hadoop. All Spark components – Spark Core, Spark SQL, DataFrames, Data sets, Conventional Streaming, Structured Streaming, MLlib, Graphx and Hadoop core components – HDFS, MapReduce and Yarn are explored in greater depth with implementation examples on Spark + Hadoop clusters. It is moving away from MapReduce to Spark. So, advantages of Spark over MapReduce are explained at great depth to reap benefits of in-memory speeds. DataFrames API, Data Sources API and new Data set API are explained for building Big Data analytical applications. Real-time data analytics using Spark Streaming with Apache Kafka and HBase is covered to help building streaming applications. New Structured streaming concept is explained with an IOT (Internet of Things) use case. Machine learning techniques are covered using MLLib, ML Pipelines and SparkR and Graph Analytics are covered with GraphX and GraphFrames components of Spark. Readers will also get an opportunity to get started with web based notebooks such as Jupyter, Apache Zeppelin and data flow tool Apache NiFi to analyze and visualize data.

AWS for Solutions Architects. Design your cloud infrastructure by implementing DevOps, containers, and Amazon Web Services

Alberto Artasanchez

One of the most popular cloud platforms in the world, Amazon Web Services (AWS) offers hundreds of services with thousands of features to help you build scalable cloud solutions; however, it can be overwhelming to navigate the vast number of services and decide which ones best suit your requirements. Whether you are an application architect, enterprise architect, developer, or operations engineer, this book will take you through AWS architectural patterns and guide you in selecting the most appropriate services for your projects.AWS for Solutions Architects is a comprehensive guide that covers the essential concepts that you need to know for designing well-architected AWS solutions that solve the challenges organizations face daily. You'll get to grips with AWS architectural principles and patterns by implementing best practices and recommended techniques for real-world use cases. The book will show you how to enhance operational efficiency, security, reliability, performance, and cost-effectiveness using real-world examples.By the end of this AWS book, you'll have gained a clear understanding of how to design AWS architectures using the most appropriate services to meet your organization's technological and business requirements.

Ionic: Hybrid Mobile App Development. Create cutting-edge, hybrid mobile applications using the Ionic framework

Rahat Khanna, Sani Yusuf, Hoc Phan

Hybrid Apps are a promising choice in mobile app development to achieve cost-effectiveness and rapid development. Ionic has evolved as the most popular choice for Hybrid Mobile App development as it tends to match the native experience and provides robust components/tools to build apps. The Ionic Complete Developers course takes you on an end–to-end journey, empowering you to build real-time, scalable, and interactive mobile applications with the Ionic framework. Starting with an introduction to the Ionic framework to get you up and running, you will gradually move on to setting up the environment, and work through the multiple options and features available in Ionic to build amazing hybrid mobile apps. You will learn how to use Cordova plugins to include native functionality in your hybrid apps.You will work through three complete projects and build a basic to-do list app, a London tourist app, and a complete social media app. All three projects have been designed to help you learn Ionic at its very best. From setting up your project to developing on both the server side and front end, and best practices for testing and debugging your projects, you'll quickly be able to deliver high-performance mobile apps that look awesome.You will then hone your skills with recipes for cross-platform development. Integrating Ionic with Cordova will bring you native device features, and you will learn about the best modules from its ecosystem. Creating components and customizing the theme will allow you to extend Ionic. You'll see how to build your app to deploy to all platforms to make you a confident start-to-finish mobile developer.This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: [*] Getting Started with Ionic – by Rahat Khanna [*] Ionic by Example – by Sani Yusuf [*] Ionic Cookbook – by Hoc Phan

Banana Pi Cookbook. Over 25 recipes to build projects and applications for multiple platforms with Banana Pi

Ryad El-Dajani

React Anti-Patterns. Build efficient and maintainable React applications with test-driven development and refactoring

Juntao Qiu

Take your React development skills to the next level by examining common anti-patterns with expert insights and practical solutions, to refine your codebases into sophisticated and scalable creations. Through this easy-to-follow guide, React Anti-Patterns serves as a roadmap to elevating the efficiency and maintainability of your React projects.You’ll begin by familiarizing yourself with the essential aspects of React before exploring strategies for structuring React applications and creating well-organized, modular, and easy-to-maintain codebases. From identifying and addressing common anti-patterns using refactoring techniques to harnessing the power of test-driven development (TDD), you’ll learn about the tools and techniques necessary to create reliable and robust tests. As you advance, you’ll get to grips with business logic and design patterns that offer solutions to prevalent challenges faced in React development. The book also offers insights into using composition patterns, such as code splitting and multiple entry points, to enhance the flexibility and modularity of your React applications, guiding you through end-to-end project implementation.By the end of this React book, you’ll be able to overcome common challenges and pitfalls to transform your React projects into elegant, efficient, and maintainable codebases.

Hands-On Generative Adversarial Networks with PyTorch 1.x. Implement next-generation neural networks to build powerful GAN models using Python

John Hany, Greg Walters

With continuously evolving research and development, Generative Adversarial Networks (GANs) are the next big thing in the field of deep learning. This book highlights the key improvements in GANs over generative models and guides in making the best out of GANs with the help of hands-on examples.This book starts by taking you through the core concepts necessary to understand how each component of a GAN model works. You'll build your first GAN model to understand how generator and discriminator networks function. As you advance, you'll delve into a range of examples and datasets to build a variety of GAN networks using PyTorch functionalities and services, and become well-versed with architectures, training strategies, and evaluation methods for image generation, translation, and restoration. You'll even learn how to apply GAN models to solve problems in areas such as computer vision, multimedia, 3D models, and natural language processing (NLP). The book covers how to overcome the challenges faced while building generative models from scratch. Finally, you'll also discover how to train your GAN models to generate adversarial examples to attack other CNN and GAN models.By the end of this book, you will have learned how to build, train, and optimize next-generation GAN models and use them to solve a variety of real-world problems.

Interactive Visualization and Plotting with Julia. Create impressive data visualizations through Julia packages such as Plots, Makie, Gadfly, and more

Diego Javier Zea

The Julia programming language offers a fresh perspective into the data visualization field.Interactive Visualization and Plotting with Julia begins by introducing the Julia language and the Plots package. The book then gives a quick overview of the Julia plotting ecosystem to help you choose the best library for your task. In particular, you will discover the many ways to create interactive visualizations with its packages. You’ll also leverage Pluto notebooks to gain interactivity and use them intensively through this book. You’ll find out how to create animations, a handy skill for communication and teaching. Then, the book shows how to solve data analysis problems using DataFrames and various plotting packages based on the grammar of graphics. Furthermore, you’ll discover how to create the most common statistical plots for data exploration. Also, you’ll learn to visualize geographically distributed data, graphs and networks, and biological data. Lastly, this book will go deeper into plot customizations with Plots, Makie, and Gadfly—focusing on the former—teaching you to create plot themes, arrange multiple plots into a single figure, and build new plot types.By the end of this Julia book, you’ll be able to create interactive and publication-quality static plots for data analysis and exploration tasks using Julia.

CoffeeScript Application Development Cookbook. Over 90 hands-on recipes to help you develop engaging applications using CoffeeScript

Mike Hatfield

Django 4 for the Impatient. Learn the core concepts of Python web development with Django in one weekend

Greg Lim, Daniel Correa

Learning Django can be a tricky and time-consuming activity. There are hundreds of tutorials, loads of documentation, and many explanations that are hard to digest. However, this book enables you to use and learn Django in just a couple of days.In this book, you’ll go on a fun, hands-on, and pragmatic journey to learn Django full stack development. You'll start building your first Django app within minutes. You'll be provided with short explanations and a practical approach that cover some of the most important Django features, such as Django Apps’ structure, URLs, views, templates, models, CSS inclusion, image storage, authentication and authorization, Django admin panel, and many more. You'll also use Django to develop a movies review app and deploy it to the internet.By the end of this book, you'll be able to build and deploy your own Django web applications.

Getting Started with Forex Trading Using Python. Beginner’s guide to the currency market and development of trading algorithms

Alex Krishtop

Algorithm-based trading is a popular choice for Python programmers due to its apparent simplicity. However, very few traders get the results they want, partly because they aren’t able to capture the complexity of the factors that influence the market. Getting Started with Forex Trading Using Python helps you understand the market and build an application that reaps desirable results.The book is a comprehensive guide to everything that is market-related: data, orders, trading venues, and risk. From the programming side, you’ll learn the general architecture of trading applications, systemic risk management, de-facto industry standards such as FIX protocol, and practical examples of using simple Python codes. You’ll gain an understanding of how to connect to data sources and brokers, implement trading logic, and perform realistic tests. Throughout the book, you’ll be encouraged to further study the intricacies of algo trading with the help of code snippets.By the end of this book, you’ll have a deep understanding of the fx market from the perspective of a professional trader. You’ll learn to retrieve market data, clean it, filter it, compress it into various formats, apply trading logic, emulate the execution of orders, and test the trading app before trading live.