Böcker utgivna av Packt Publishing Limited

This book will provide a practical understanding of the test management process with Jira. We'll start with the basic concepts taking you through the details of the software testing process followed by the organization of test artifacts in Jira. The book later explores and contrasts between the three most popular Jira plugins Zephyr, Test ...

Adrian Pruteanu adopts the mindset of both a defender and an attacker in this practical guide to web application testing. By giving key insights into attack vectors and defenses, Becoming the Hacker builds your ability to analyze from both viewpoints and create robust defense strategies.

This book is for Python developers to implement various components of end-to-end decentralized applications such as cryptocurrencies, smart contracts, wallet and more. You will use the example-based approach using various libraries from Python ecosystem to build efficient and powerful blockchain applications at work or projects.

This book will get you up and running with building efficient relational database solutions right from scratch with the newest features of PostgreSQL 11. You will learn the end-to-end working of relational databases and how to work with database structures. You will also be able to write essential SQL statements, perform data manipulation and ...

QGIS is a user friendly, open source geographic information system (GIS). The popularity of open source GIS and QGIS, in particular, has been growing rapidly over the last few years. This book is designed to help beginners learn about all the tools required to use QGIS 3.4.

This book includes 9 projects on building smart and practical AI-based systems. These projects cover solutions to different domain-specific problems in healthcare, e-commerce and more. With this book, you will apply different machine learning and deep learning techniques and learn how to build your own intelligent applications for smart ...

Deep Learning is a subset of Machine Learning where data sets with several layers of complexity can be processed. This book teaches you the different techniques using which deep learning solutions can be implemented at scale, on Apache Spark. This will help you gain experience of implementing your deep learning models in many real-world use cases.

Machine Learning (ML) is transforming the way we understand and interact with the world around us. This book is a perfect guide for you to use the Python ecosystem to cover key domains in the machine learning. You will learn to implement advanced concepts and most used machine learning algorithms using complex datasets and optimized techniques.

This book is a blend of penetration testing and best practices industrial automation in cybersecurity space with Python. This book will enable pentesters to take their skills to the next level by leveraging the power of Python and explaining the core concepts that will come in handy when making robust cybersecurity tools and custom exploits.

This is a comprehensive guide to help you understand the current threats faced by the financial cyberspace and how to go about it and secure your financial landscape. The book will take you on a journey from identifying the attackers to securing your financial transactions and assets. The book then take you through the updates needed for ...

The book will help you get well-versed with different techniques in Artificial Intelligence such as machine learning, deep learning, natural language processing and more to build smart IoT systems. By the end of the book, you will have practical knowledge on how to implement and manipulate text, audio, and speech data within the IoT system.

Businesses, right from small-sized to large giants are using MySQL to access and manipulate their enterprise database across the world. Advanced MySQL 8 will be your one-stop destination in how to implement and manage large-scale MySQL distributed clusters to run high-volume websites, enterprise systems, and packaged software.

Machine learning involves development and training of models used to predict future outcomes. This book is a practical guide to all the tips and tricks related to machine learning. It includes hands-on, easy to access techniques on topics like model selection, performance tuning, training neural networks, time series analysis and a lot more.

Elastic has announced the integration of Prelert machine learning technology within its ecosystem allowing real-time generation of business insights from the Elasticsearch data without it leaving the cluster at all. This book will demonstrate these unique features and teach you to perform machine learning on the Elastic Stack without any hassle.

This practical guide covers Identity with Windows Server 2016: 70-742 exam objectives required for MCSA: Windows Server 2016 certification.

One of the critical components of any workflow related to video production is a reliable tool to create and edit media like video and audio. In most cases, you will find video producers using software that can only cut and mount video in a "traditional" way. What if you could use a software that offers not only options to edit and cut video, ...

As machine learning algorithms become popular, new tools that optimize these algorithms are also developed. Machine Learning Fundamentals explains the scikit-learn API, which is a package created to facilitate the process of building machine learning applications. By explaining the differences between supervised and unsupervised models and by ...

Mastering Matplotlib covers the use cases and encounter unusual cases that requires more powerful tools. With the easy to follow examples and high end components of matplotlib, this book will enable to develop advanced and interactive plots using Python scripting and Matplotlib

Over 50 practical recipes that will help you develop and deliver high-quality and reliable cloud-centric Azure serverless applications for your organizationKey FeaturesLeverage practical use cases to build a robust serverless environmentEnhance Azure Functions with continuous deployment using Visual Studio Team ServicesDeploy and manage cost-effective and highly available serverless applications using Azure FunctionsBook DescriptionMicrosoft provides a solution for easily running small segments of code in the cloud with Azure Functions. The second edition of Azure Serverless Computing Cookbook starts with intermediate-level recipes on serverless computing along with some use cases demonstrating the benefits and key features of Azure Functions. You'll explore the core aspects of Azure Functions, such as the services it provides, how you can develop and write Azure Functions, and how to monitor and troubleshoot them. As you make your way through the chapters, you'll get practical recipes on integrating DevOps with Azure Functions, and providing continuous integration and continuous deployment with Azure DevOps. This book also provides hands-on, step-by-step tutorials based on real-world serverless use cases to guide you through configuring and setting up your serverless environments with ease. You will also learn how to build solutions for complex, real-world, workflow-based scenarios quickly and with minimal code using Durable Functions. In the concluding chapters, you will ensure enterprise-level security within your serverless environment. The most common tips and tricks that you need to be aware of when working with Azure Functions on production environments will also be covered in this book. By the end of this book, you will have all the skills required for working with serverless code architecture, providing continuous delivery to your users. What you will learnIntegrate Azure Functions with other Azure servicesUnderstand cloud application development using Azure FunctionsEmploy durable functions for developing reliable and durable serverless applicationsUse SendGrid and Twilio servicesExplore code reusability and refactoring in Azure FunctionsConfigure serverless applications in a production environmentWho this book is forIf you are a cloud administrator, architect, or developer who wants to build scalable systems and deploy serverless applications with Azure Functions, then the Azure Serverless Computing Cookbook is for you. Hands-on experience with Microsoft Azure core services is required.

React today is one of the most loved and preferred choices for front-end development. Using React with TypeScript enhances development experience and offers a powerful combination to develop high performing web apps. This book will take you through a journey of web development with the help of the latest version of React and TypeScript 3.

Gitlab is an open source repository management and version control toolkit with an enterprise offering. This book is the ideal guide to GitLab as a version control system (VCS), issue management tool, and a continuous integration platform.

Every developer wants to build modular and scalable web applications. Modern versions of the JavaScript language have made this possible in Node.js, and Koa is a Node.js framework that makes it easy. This book is the ideal introduction for JavaScript developers who want to create scalable serverside applications using Node.js and Koa.js.

Mastering Vim will introduce you to the wonderful world of Vim by example of working with Python code and tools in a project-based fashion. This book will prompt you to make Vim your primary IDE as you will learn to use it for any programming language.

While most guides tend to describe Microsoft Azure on a more generic level, focusing on the general overview of components, this book will give you the in-depth understanding of both how this particular cloud works and what the best solutions for different scenarios are.

Machine Learning for Finance explores new advances in machine learning and shows how they can be applied in the financial sector. It explains the concepts and algorithms behind the main machine learning techniques and provides example Python code for implementing the models yourself.

This book will show you how to take advantage of TensorFlow's most appealing features - simplicity, efficiency, and flexibility - in various scenarios. You will gain cutting-edge insights into using TensorFlow's offerings for your problems and learn practical hacks to successfully implement real-world machine learning projects.

NLP in Python is among the most sought-after skills among data scientists. With code and relevant case studies, this book will show how you can use industry grade tools to implement NLP programs capable of learning from relevant data. We will explore many modern methods ranging from spaCy to word vectors that have reinvented NLP.

This book will cover all the new features that have been introduced in TensorFlow 2.0 especially the major highlight, including eager execution and more. You will learn how to make the best use of these features to migrate your codes from TensorFlow 1.x to TensorFlow 2.0 in a seamless way.

This book will be a handy guide to quickly learn pandas and understand how it can empower you in the exciting world of data manipulation, analysis, and data science. You will learn how to use pandas to perform numeric and statistical analysis using real-world examples. You will also visualize statistical data and apply pandas to different domains.

Ensemble learning can provide the necessary methods to improve the accuracy and performance of existing models. In this book, you'll understand how to combine different machine learning algorithms to produce more accurate results from your models.