Bøger udgivet af Packt Publishing Limited

Since the internet of things is on the rise, and mega-companies like Microsoft have projected to spend around 5 billion for IoT in the coming years, acquired talent in this domain definitely needs to have MQTT knowledge for building IoT projects. This book will help you leverage the power of MQTT to build exciting IoT projects

Python is a multi-domain, interpreted programming language. It is a widely used general-purpose, high-level programming language. This book follows a task-based approach to help you create beautiful and very effective GUIs with the least amount of code necessary.

The purpose of Mastering Kotlin is to teach you how to leverage software designs and concepts which have made Java the most dominant Enterprise programming language. Finally, you will gain an understanding of implementing practical design patterns and best practices to help you master the Kotlin language.

Hands-on Application Development with PyCharm addresses the modern-age enterprise application development concerns and how to solve them using a variety of features and functionalities available in PyCharm. This book will help you master the art of developing and delivering production-ready and real-world python applications to your clients.

In the R Bioinformatics Cookbook, you encounter common and not-so-common challenges in the bioinformatics domain and solve them using real-world examples. The book guides you through varied bioinformatics analysis, from raw data to clean results. It shows you how to import, explore and evaluate your data and how to report it.

AI in AWS covers primarily two broad topics - a) how to leverage readily available AI/ML APIs and b) how to build, train and deploy ML models from scratch, to solve diverse business problems, such as demand forecasting, image classification, topic modeling, speech and text recognition. By the end of the book, you will have learned how to build ...

This book will cover use-cases on how blockchain is currently being used in the industry - catering to key decision-makers within an organization. It also addresses the real problems and technical difficulties in implementing blockchain, and the various blockchain strategies being adopted by popular organizations all over the world.

SAS is one of the leading enterprise tools in the world today when it comes to data management and analysis. It allows for faster, easier processing of data and empowers you to get valuable business insights for effective decision-making. This book will serve as a comprehensive guide you can refer to while preparing for your SAS certification exam.

Learn Ethereum is ideal for anyone who wants to do an ultra-learning on Ethereum blockchain technology and build end-to-end decentralized applications using smart contract and Ethereum. The hands-on examples will help novices master blockchain and Ethereum in a quick, effective and easy way.

The Modern Java Challenge is the book which contains a set of challenges designed specifically to help you master a specific skill in a specific domain. This will put your knowledge to test through real-world problems and help you in becoming an expert Java Programmer.

The goal of the book is to demonstrate how to use essential parts of Spring Boot and Spring Cloud to develop production ready microservices. You will also learn how to deploy the microservice to Kubernetes, use Istio as a service mesh and finally learn how to use their features to provide scalability, robustness, observability and manageability.

Binary Analysis is a complex and constantly evolving topic, crossing into several realms of IT and information security. The recipes in this book will serve as a good reference for you to get a better understanding of various aspects related to analyzing malware, identifying vulnerabilities in code, exploit writing and reverse engineering.

This book is a guide to the TensorFlow (TF) framework, from the static graph architecture of TF 1.x to the eager execution and all the new features introduced in TF 2.0. Neural Networks applications are developed throughout the book with the aim of making the reader capable of developing neural networks-based solutions to real problems using TF 2.0

The AWS cloud provides on-demand computing resources that organizations of all types and sizes harness to create products and business solutions. This book will take you from the fundamentals to advanced features and services to help you administer your own AWS cloud environment.

Practical Machine Learning with R gives you the complete knowledge to solve your business problems - starting by forming a good problem statement, selecting the most appropriate model to solve your problem, and then ensuring that you do not overtrain the model.

Eclipse MicroProfile has gained momentum in the industry as a multi-vendor, interoperable, community-driven specification. It is a major disruptor that allows organizations with large investments in enterprise Java to move to microservices without spending a lot on retraining their workforce.

VMware vSphere 6.7 is the next-generation virtualization product suite that helps you transform data centers into simplified on-premise cloud infrastructures through effective automation and orchestration of workload deployment. With practical, hands-on recipes, this book will help you manage, secure and monitor your vSphere 6.7 environment.

This book will teach Python to complete beginners through a set of 3 practical projects. Its content goes over developing a handful of scripts, performing data analysis, train machine learning models and roll them into production. We will further outline the advanced topics and direct readers to relevant resources.

This Learning Path guides you through every concept necessary to create fully functional GUI applications using PyQt and Tkinter with only a few lines of code. You'll learn to design and build GUIs that are functional, appealing, and user-friendly using the powerful combination of Python and its GUI frameworks.

Web Components are the set of APIs that helps you build standard UI functions that work across any browser, with any JavaScript framework. This practical guide will help you fulfill this promise through examples and best practices. It will help you implement the web components in your existing frontend application to let you fully realize the ...

In DevOps Paradox, top DevOps consultants, industry leaders, and founders reveal their own approaches to all aspects of DevOps implementation and operation through one-to-one interviews. Viktor Farcic draws on experts from across the industry to discuss how to introduce DevOps to chaotic organizations, align incentives between teams, and make ...

This book will help you bring business intelligence capabilities using Power BI in order to make smarter decisions. You will learn data modeling, visualizations, and analytical capabilities from scratch using hands-on examples. By the end of this book, you will learn the extensive features of Power BI and how to use them to unlock business ...

Machine Learning for OpenCV 4, Second Edition will help the readers to implement and train machine learning algorithms with OpenCV 4 and scikit-learn in Python. By the end of this book, you will be able to build intelligent applications with OpenCV 4 using various optimization techniques for your machine learning algorithms.

This Learning Path is a step-by-step guide that covers everything you need to develop efficient data integration and data transformation solutions for your organization.

Advanced Elasticsearch 7.0, will help the readers to leverage new features and Core APIs of Elasticsearch to perform advanced search operations. This book covers data modeling, aggregations, pipeline processing, and data Analytics using Elasticsearch

SQL for Data Analytics teaches everything you need to know to progress from basic SQL to identifying trends and creating compelling narratives with data. With this book, you will be able to look at data with the critical eye of an analytics professional and extract meaningful insights that will improve your business.

This Learning Path is your step-by-step guide to building deep learning models using R's wide range of deep learning libraries and frameworks. Through multiple real-world projects and expert guidance and tips, you'll gain the exact knowledge you need to get started with developing deep models using R.

This Learning Path is a comprehensive guide that gives you the complete knowledge on how to implement the powerful supervised, unsupervised, and reinforcement learning techniques using R 3.5 in your data science projects. With this Learning Path, you'll gain insights from complex projects and learn advanced methods to build smart applications.

Data analysis is crucial to accurately predict the performance of an application. The book begins by getting you started with R, including basic programming and data import, data visualization, pivoting, merging, aggregating, and joins. Once you are comfortable with the basics, you can read ahead and learn all about data visualization and ...