Learning Dart. Dart is the programming language developed by Google that offers a new level of simple versatility. Learn all the essentials of Dart web development in this brilliant tutorial that takes you from beginner to pro

Ivo Balbaert, Dzenan Ridjanovic

Puppet Reporting and Monitoring. Create insightful reports for your server infrastructure using Puppet

Michael Duffy

Sparrow iOS Game Framework Beginner's Guide. Create mobile games for iOS devices with the Sparrow iOS Game Framework

Johannes Stein

Simplifying State Management in React Native. Master state management from hooks and context through to Redux, MobX, XState, Jotai and React Query

Aleksandra Desmurs-Linczewska, Kadi Kraman

Managing state in a React Native app can be challenging as it is one of the most difficult concepts to grasp while learning React Native. This is because there are so many ways to do it, and because there is a lack of clear guidelines on what should be used and why.Simplifying State Management in React Native is a comprehensive introduction for those who are new to creating robust React Native apps that will have you up to speed in no time. You’ll get to grips with the different state management strategies and libraries available. As you progress through the chapters, you’ll try out different solutions, as well as compare and choose which solution is perfectly suited to your future projects and personal preferences. Finally, you’ll create a social media clone app using all the concepts and examples that you’ve learned in this book.By the end of this book, you’ll be able to take on existing projects that use various state management strategies and libraries, and confidently make decisions about state management.

Julia for Data Science. high-performance computing simplified

Anshul Joshi

Julia is a fast and high performing language that's perfectly suited to data science with a mature package ecosystem and is now feature complete. It is a good tool for a data science practitioner. There was a famous post at Harvard Business Review that Data Scientist is the sexiest job of the 21st century. (https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century).This book will help you get familiarised with Julia's rich ecosystem, which is continuously evolving, allowing you to stay on top of your game.This book contains the essentials of data science and gives a high-level overview of advanced statistics and techniques. You will dive in and will work on generating insights by performing inferential statistics, and will reveal hidden patterns and trends using data mining. This has the practical coverage of statistics and machine learning. You will develop knowledge to build statistical models and machine learning systems in Julia with attractive visualizations.You will then delve into the world of Deep learning in Julia and will understand the framework, Mocha.jl with which you can create artificial neural networks and implement deep learning.This book addresses the challenges of real-world data science problems, including data cleaning, data preparation, inferential statistics, statistical modeling, building high-performance machine learning systems and creating effective visualizations using Julia.

The Data Science Workshop. Learn how you can build machine learning models and create your own real-world data science projects - Second Edition

Anthony So, Thomas V. Joseph, Robert Thas John, Andrew Worsley, ...

Where there’s data, there’s insight. With so much data being generated, there is immense scope to extract meaningful information that’ll boost business productivity and profitability. By learning to convert raw data into game-changing insights, you’ll open new career paths and opportunities.The Data Science Workshop begins by introducing different types of projects and showing you how to incorporate machine learning algorithms in them. You’ll learn to select a relevant metric and even assess the performance of your model. To tune the hyperparameters of an algorithm and improve its accuracy, you’ll get hands-on with approaches such as grid search and random search.Next, you’ll learn dimensionality reduction techniques to easily handle many variables at once, before exploring how to use model ensembling techniques and create new features to enhance model performance. In a bid to help you automatically create new features that improve your model, the book demonstrates how to use the automated feature engineering tool. You’ll also understand how to use the orchestration and scheduling workflow to deploy machine learning models in batch.By the end of this book, you’ll have the skills to start working on data science projects confidently. By the end of this book, you’ll have the skills to start working on data science projects confidently.

Liferay 6.x Portal Enterprise Intranets Cookbook. Over 60 hands-on recipes to help you efficiently create complex and highly personalized enterprise intranet solutions with Liferay Portal 6.x CE

Piotr Filipowicz, Katarzyna B Ziolkowska, Katarzyna Zió?Çkowska, Poitr Filipowicz

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.