Programowanie
Mikael Valot, Nicolas Jorand
Scala Programming Projects is a comprehensive project-based introduction for those who are new to Scala. Complete with step-by-step instructions and easy-to-follow tutorials that demonstrate best practices when building applications, this Scala book will have you building real-world projects in no time.Starting with the fundamentals of software development, you’ll begin with simple projects, such as developing a financial independence calculator, and then advance to more complex projects, such as a building a shopping application and a Bitcoin transaction analyzer. You’ll explore a variety of Scala features, including its OOP and FP capabilities, and learn how to write concise, reactive, and concurrent applications in a type-safe manner. You’ll also understand how to use libraries such as Akka and Play. Furthermore, you’ll be able to integrate your Scala apps with Kafka, Spark, and Zeppelin, along with deploying applications on a cloud platform.By the end of the book, you’ll have a firm foundation in Java programming that’ll enable you to solve a variety of real-world problems, and you’ll have built impressive projects to add to your professional portfolio.
Rambabu Posa
Reactive programming is a scalable, fast way to build applications, and one that helps us write code that is concise, clear, and readable. It can be used for many purposes such as GUIs, robotics, music, and others, and is central to many concurrent systems. This book will be your guide to getting started with Reactive programming in Scala.You will begin with the fundamental concepts of Reactive programming and gradually move on to working with asynchronous data streams. You will then start building an application using Akka Actors and extend it using the Play framework. You will also learn about reactive stream specifications, event sourcing techniques, and different methods to integrate Akka Streams into the Play Framework. This book will also take you one step forward by showing you the advantages of the Lagom framework while working with reactive microservices. You will also learn to scale applications using multi-node clusters and test, secure, and deploy your microservices to the cloud.By the end of the book, you will have gained the knowledge to build robust and distributed systems with Scala and Akka.
Scala Test-Driven Development. Write clean scala code that works
Gaurav Sood
Test-driven development (TDD) produces high-quality applications in less time than is possible with traditional methods. Due to the systematic nature of TDD, the application is tested in individual units as well as cumulatively, right from the design stage, to ensure optimum performance and reduced debugging costs. This step-by-step guide shows you how to use the principles of TDD and built-in Scala testing modules to write clean and fully tested Scala code and give your workflow the change it needs to let you create better applications than ever before. After an introduction to TDD, you will learn the basics of ScalaTest, one of the most flexible and most popular testing tools around for Scala, by building your first fully test-driven application. Building on from that you will learn about the ScalaTest API and how to refactor code to produce high-quality applications. We’ll teach you the concepts of BDD (Behavior-driven development) and you’ll see how to add functional tests to the existing suite of tests. You’ll be introduced to the concepts of Mocks and Stubs and will learn to increase test coverage using properties. With a concluding chapter on miscellaneous tools, this book will enable you to write better quality code that is easily maintainable and watch your apps change for the better.
Jason Myerscough
Azure Data Explorer (ADX) enables developers and data scientists to make data-driven business decisions. This book will help you rapidly explore and query your data at scale and secure your ADX clusters.The book begins by introducing you to ADX, its architecture, core features, and benefits. You'll learn how to securely deploy ADX instances and navigate through the ADX Web UI, cover data ingestion, and discover how to query and visualize your data using the powerful Kusto Query Language (KQL). Next, you'll get to grips with KQL operators and functions to efficiently query and explore your data, as well as perform time series analysis and search for anomalies and trends in your data. As you progress through the chapters, you'll explore advanced ADX topics, including deploying your ADX instances using Infrastructure as Code (IaC). The book also shows you how to manage your cluster performance and monthly ADX costs by handling cluster scaling and data retention periods. Finally, you'll understand how to secure your ADX environment by restricting access with best practices for improving your KQL query performance.By the end of this Azure book, you'll be able to securely deploy your own ADX instance, ingest data from multiple sources, rapidly query your data, and produce reports with KQL and Power BI.
Jason Myerscough
Azure Data Explorer (ADX) enables developers and data scientists to make data-driven business decisions. This book will help you rapidly explore and query your data at scale and secure your ADX clusters.The book begins by introducing you to ADX, its architecture, core features, and benefits. You'll learn how to securely deploy ADX instances and navigate through the ADX Web UI, cover data ingestion, and discover how to query and visualize your data using the powerful Kusto Query Language (KQL). Next, you'll get to grips with KQL operators and functions to efficiently query and explore your data, as well as perform time series analysis and search for anomalies and trends in your data. As you progress through the chapters, you'll explore advanced ADX topics, including deploying your ADX instances using Infrastructure as Code (IaC). The book also shows you how to manage your cluster performance and monthly ADX costs by handling cluster scaling and data retention periods. Finally, you'll understand how to secure your ADX environment by restricting access with best practices for improving your KQL query performance.By the end of this Azure book, you'll be able to securely deploy your own ADX instance, ingest data from multiple sources, rapidly query your data, and produce reports with KQL and Power BI.
Tarik Makota, Brian Maguire, Danny Gagne, Rajeev...
Amazon Kinesis is a collection of secure, serverless, durable, and highly available purpose-built data streaming services. This data streaming service provides APIs and client SDKs that enable you to produce and consume data at scale.Scalable Data Streaming with Amazon Kinesis begins with a quick overview of the core concepts of data streams, along with the essentials of the AWS Kinesis landscape. You'll then explore the requirements of the use case shown through the book to help you get started and cover the key pain points encountered in the data stream life cycle. As you advance, you'll get to grips with the architectural components of Kinesis, understand how they are configured to build data pipelines, and delve into the applications that connect to them for consumption and processing. You'll also build a Kinesis data pipeline from scratch and learn how to implement and apply practical solutions. Moving on, you'll learn how to configure Kinesis on a cloud platform. Finally, you’ll learn how other AWS services can be integrated into Kinesis. These services include Redshift, Dynamo Database, AWS S3, Elastic Search, and third-party applications such as Splunk.By the end of this AWS book, you’ll be able to build and deploy your own Kinesis data pipelines with Kinesis Data Streams (KDS), Kinesis Data Firehose (KFH), Kinesis Video Streams (KVS), and Kinesis Data Analytics (KDA).
Dean MacNeil, Aslam Cader
Jira Align is a platform purpose-built for enterprises to connect strategy with execution and drive transparency, consistency, and predictability at all levels of scale. The platform supports business value delivery in agile frameworks such as LeSS, DAD, and SAFe. It also caters to organizations that mix agile with waterfall to support scaled bimodal delivery.Starting with an introduction to the platform and its features, this book takes you through the foundational building blocks of Jira Align. You’ll learn how an organization can benefit from implementing Jira Align and understand how to connect dimensions such as people, work, time, and outcomes. The book takes you through the typical steps for implementing Jira Align for maximizing outcomes and helps you solve common team, program, and portfolio-level challenges by enhancing visibility, tracking dependencies and risks, and using reports for real-time, distributed decision making. Throughout the book, you’ll explore features such as remote agile ceremonies, live roadmaps, and objectives and key results (OKRs). You’ll also get to grips with lean portfolio management, financial reporting, and using the program board for planning and execution.By the end of this book, you’ll be well versed in the key features of Jira Align and be able to leverage them to support all levels of agile at scale.
Hrishikesh Vijay Karambelkar
This book is a step-by-step guide for readers who would like to learn how to build complete enterprise search solutions, with ample real-world examples and case studies. If you are a developer, designer, or architect who would like to build enterprise search solutions for your customers or organization, but have no prior knowledge of Apache Solr/Lucene technologies, this is the book for you.
Claus Führer, Claus Fuhrer, Jan Erik Solem,...
Python has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient data processing, and parallel computing to help you perform mathematical and scientific computing efficiently using Python.This book will help you to explore new Python syntax features and create different models using scientific computing principles. The book presents Python alongside mathematical applications and demonstrates how to apply Python concepts in computing with the help of examples involving Python 3.8. You'll use pandas for basic data analysis to understand the modern needs of scientific computing, and cover data module improvements and built-in features. You'll also explore numerical computation modules such as NumPy and SciPy, which enable fast access to highly efficient numerical algorithms. By learning to use the plotting module Matplotlib, you will be able to represent your computational results in talks and publications. A special chapter is devoted to SymPy, a tool for bridging symbolic and numerical computations.By the end of this Python book, you'll have gained a solid understanding of task automation and how to implement and test mathematical algorithms within the realm of scientific computing.
Julian Avila, Trent Hauck
Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. This book includes walk throughs and solutions to the common as well as the not-so-common problems in machine learning, and how scikit-learn can be leveraged to perform various machine learning tasks effectively.The second edition begins with taking you through recipes on evaluating the statistical properties of data and generates synthetic data for machine learning modelling. As you progress through the chapters, you will comes across recipes that will teach you to implement techniques like data pre-processing, linear regression, logistic regression, K-NN, Naïve Bayes, classification, decision trees, Ensembles and much more. Furthermore, you’ll learn to optimize your models with multi-class classification, cross validation, model evaluation and dive deeper in to implementing deep learning with scikit-learn. Along with covering the enhanced features on model section, API and new features like classifiers, regressors and estimators the book also contains recipes on evaluating and fine-tuning the performance of your model. By the end of this book, you will have explored plethora of features offered by scikit-learn for Python to solve any machine learning problem you come across.
John Sukup
Trusted by data scientists, ML engineers, and software developers alike, scikit-learn offers a versatile, user-friendly framework for implementing a wide range of ML algorithms, enabling the efficient development and deployment of predictive models in real-world applications. This third edition of scikit-learn Cookbook will help you master ML with real-world examples and scikit-learn 1.5 features.This updated edition takes you on a journey from understanding the fundamentals of ML and data preprocessing, through implementing advanced algorithms and techniques, to deploying and optimizing ML models in production. Along the way, you’ll explore practical, step-by-step recipes that cover everything from feature engineering and model selection to hyperparameter tuning and model evaluation, all using scikit-learn.By the end of this book, you’ll have gained the knowledge and skills needed to confidently build, evaluate, and deploy sophisticated ML models using scikit-learn, ready to tackle a wide range of data-driven challenges.*Email sign-up and proof of purchase required
Luiz Felipe Martins, Ke Wu, Ruben Oliva...
With the SciPy Stack, you get the power to effectively process, manipulate, and visualize your data using the popular Python language. Utilizing SciPy correctly can sometimes be a very tricky proposition. This book provides the right techniques so you can use SciPy to perform different data science tasks with ease.This book includes hands-on recipes for using the different components of the SciPy Stack such as NumPy, SciPy, matplotlib, and pandas, among others. You will use these libraries to solve real-world problems in linear algebra, numerical analysis, data visualization, and much more. The recipes included in the book will ensure you get a practical understanding not only of how a particular feature in SciPy Stack works, but also of its application to real-world problems. The independent nature of the recipes also ensure that you can pick up any one and learn about a particular feature of SciPy without reading through the other recipes, thus making the book a very handy and useful guide.
Michael Badger
The book uses step-by-step instructions along with full code listings for each exercise. After each exercise, the author pauses to reflect, explain, and offer insights before building on the project. The author approaches the content with the belief that we are all teachers and that you are reading this book not only because you want to learn, but because you want to share your knowledge with others. Motivated students can pick up this book and teach themselves how to program because the book takes a simple, strategic, and structured approach to learning Scratch. Parents can grasp the fundamentals so that they can guide their children through introductory Scratch programming exercises. It’s perfect for homeschool families. Teachers of all disciplines from computer science to English can quickly get up to speed with Scratch and adapt the projects for use in the classroom.
Scratch bez tajemnic. Programowanie gier od podstaw
Jakub Porzycki, Urszula Łukasik
Własna gra komputerowa? To musi się udać! Podstawowe polecenia Proste problemy programistyczne i własne bloczki Twoja pierwsza gra komputerowa ze Scratchem Jeśli sięgasz po tę książkę, na pewno uwielbiasz gry komputerowe i zastanawiasz się, jak samodzielnie stworzyć własną. Albo masz już gotowy pomysł i szukasz sposobów na jego realizację. Ta książka będzie dla Ciebie idealnym przewodnikiem na start. Od czego zacząć i jak nauczyć się programowania, które pozwoli Ci stworzyć swój własny mikroświat w komputerze? Scratch bez tajemnic zawiera kilkanaście projektów prostych gier napisanych w języku Scratch, stworzonym specjalnie do nauki programowania. Zabawne i intrygujące zadania, które Cię tu czekają, będą nie tylko świetną rozrywką, lecz także wstępem do samodzielnego pisania gier. Zobacz, jak przygotować kosmiczną bitwę, zaprojektować zmasowany atak bakterii i stworzyć swoją własną platformówkę. Baw się tymi przykładami, rozbudowuj je i zmieniaj według własnych pomysłów. Programowanie nie jest tak trudne, jak Ci się wydaje! Projekt akwarium Znikający duszek i okrutna matematyka Pogrywamy sobie w kotka i myszkę Przygody w kosmosie i kosmiczna bitwa Żuczek na autostradzie i arkanoid Twoje własne bloczki Inwazja bakterii Rysowanie jest proste Platformówki Wąż Turniej łuczniczy Niech zabrzmią działa Programuj i graj!
Scripting. Automation with Bash, PowerShell, and Python
Rheinwerk Publishing, Inc, Michael Kofler
This comprehensive scripting guide empowers system administrators, developers, and power users to automate repetitive IT tasks across platforms using three major scripting languages: Bash, PowerShell, and Python. The book opens with foundational scripting concepts and showcases what you can accomplish with just ten lines of code. It continues with in-depth chapters on each language, emphasizing syntax, control structures, error handling, and modularity.Readers will explore practical techniques for managing files, parsing text, utilizing regular expressions, and working with JSON, XML, and INI formats. The book dives into job automation with cron and Task Scheduler, secure communication via SSH, and scripting in professional environments with tools like Visual Studio Code and Git.The final section applies scripting to real-world cases, including system backups, image processing, web scraping, API consumption, database interactions, cloud integration, and virtual machine automation. With this book, readers build a strong scripting toolkit to efficiently manage modern IT workflows.
Scrum. Przewodnik po antywzorcach
Stefan Wolpers
Wyzwania, przed którymi staje każdy zespół scrumowy i jak je pokonać "Stefan Wolpers ma niezwykłą zdolność wskazywania ukrytych pułapek i trudności, z którymi borykają się interesariusze, zespoły i procesy. Wolpers dokumentuje źródła marnotrawstwa i frustracji, tworząc zadziwiające kompendium typowych sytuacji, które blokują postęp. Przygnębiające! Ale nie zostawia nas z tym. Przedstawia również trafne rozwiązania. Budujące!" -Diana Larsen, wykładowca, doradca i autorka witryny dianalarsen.com Odblokuj sukces w Scrumie, niezależnie od tego, czy jesteś ekspertem, czy dopiero zaczynasz. przewodnik po antywzorcach Scruma to twój klucz do zrozumienia i udoskonalenia praktyk Scruma. Scrum jest łatwy do zrozumienia, ale osiągnięcie doskonałości jest trudne. Jako framework, Scrum jest szczególnie wymagający, gdyż nie istnieje formalne wykształcenie dostosowane do poszczególnych ról ani wyczerpujący zbiór praktyk, które byłyby dostępne dla osób zainteresowanych ich stosowaniem. Scrum Guide przedstawia zasady jedynie jako szkic - od stosowania Scruma do złożonych problemów adaptacyjnych po promowanie samozarządzania - i w ogóle nie zawiera żadnych zaleceń, jak powinny pracować Zespoły Scrumowe. Scrum. Przewodnik po antywzorcach to zestawienie wyzwań, z którymi mierzy się każdy Zespół Scrumowy oraz sposoby ich pokonywania. Stefan Wolpers używa Scrum Guide jako szablonu, wspomagając poznawanie Scruma przez początkujących praktyków - treści są porządkowane według ról, zdarzeń, artefaktów i zobowiązań. Bardziej doświadczony czytelnik może użyć książki do rozwiązywania indywidualnych problemów lub sytuacji. Omówienie antywzorców Scruma zarówno dla nowicjuszy, jak i doświadczonych praktyków Praktyczne informacje na temat tego, dlaczego implementacje Scruma często są nieskuteczne i sposoby ich ulepszania Propozycje usprawnień i korekt kursu w praktyce Scruma, dokonywanych w czasie rzeczywistym Stefan Wolpers uzyskał tytuły Professional Scrum Trainer od Scrum.org, a ponadto Agile Coach i Scrum Master. Specjalizuje się we wspomaganiu transformacji zwinnych poprzez takie praktyki, jak Scrum, LeSS, Kanban, Lean Startup i profesjonalne zarządzanie produktem. Jest licencjonowanym facylitatorem Agile Fluency Team Diagnostic z doświadczeniem na stanowiskach kierowniczych wyższych szczebli. Jest redaktorem popularnego newslettera "Food for Agile Thought", z którym współpracuje ponad 50 tysięcy entuzjastów Agile na całym świecie. Cały dochód Scrum.org uzyskiwany z tej serii wydawniczej przekazywany jest na rzecz Year Up, organizacji, która dąży do zniwelowanie nierówności poprzez zapewnianie młodym dorosłym mieszkańcom miast umiejętności, doświadczenia i wsparcia, które umożliwią im osiągnięcie pełnego potencjału poprzez karierę zawodową i wyższe wykształcenie.
Shaun Mitchell
SDL 2.0 is the latest release of the popular Simple DirectMedia Layer API, which is designed to make life easier for C++ developers, allowing you simple low-level access to various multiplatform audio, graphics, and input devices.SDL Game Development guides you through creating your first 2D game using SDL and C++. It takes a clear and practical approach to SDL game development, ensuring that the focus remains on creating awesome games.Starting with the installation and setup of SDL, you will quickly become familiar with useful SDL features, covering sprites, state management, and OOP, leading to a reusable framework that is extendable for your own games. SDL Game Development culminates in the development of two exciting action games that utilize the created framework along with tips to improve the framework.
Cody Jackson
This book covers the unexplored secrets of Python, delve into its depths, and uncover its mysteries.You’ll unearth secrets related to the implementation of the standard library, by looking at how modules actually work. You’ll understand the implementation of collections, decimals, and fraction modules. If you haven’t used decorators, coroutines, and generator functions much before, as you make your way through the recipes, you’ll learn what you’ve been missing out on. We’ll cover internal special methods in detail, so you understand what they are and how they can be used to improve the engineering decisions you make. Next, you’ll explore the CPython interpreter, which is a treasure trove of secret hacks that not many programmers are aware of. We’ll take you through the depths of the PyPy project, where you’ll come across several exciting ways that you can improve speed and concurrency. Finally, we’ll take time to explore the PEPs of the latest versions to discover some interesting hacks.
Cody Jackson
This book covers the unexplored secrets of Python, delve into its depths, and uncover its mysteries.You’ll unearth secrets related to the implementation of the standard library, by looking at how modules actually work. You’ll understand the implementation of collections, decimals, and fraction modules. If you haven’t used decorators, coroutines, and generator functions much before, as you make your way through the recipes, you’ll learn what you’ve been missing out on. We’ll cover internal special methods in detail, so you understand what they are and how they can be used to improve the engineering decisions you make. Next, you’ll explore the CPython interpreter, which is a treasure trove of secret hacks that not many programmers are aware of. We’ll take you through the depths of the PyPy project, where you’ll come across several exciting ways that you can improve speed and concurrency. Finally, we’ll take time to explore the PEPs of the latest versions to discover some interesting hacks.
Giovanni Galloro, David Dorbin, Richard Seroter, Nathaniel...
Continuous delivery, a cornerstone of modern software engineering, facilitates quick and secure software delivery using a robust toolkit encompassing automated builds, testing, source code management, artifact storage, and deployment. Whether you integrate tools from different providers or use a set of managed services from a single cloud provider, the goal is to streamline setup, integration, and management. This book focuses on continuous delivery on Google Cloud.Starting with an introduction to continuous delivery and secure software supply chain concepts, this book uses hands-on exercises to demonstrate how to continuously test your application with Skaffold and Cloud Code, leverage AI-assisted code generation with Cloud Code and Cloud Workstations, and automate your continuous integration with Cloud Build. You’ll see how to store and scan your software artifacts on Artifact Registry, orchestrate deployments with Cloud Deploy, and release your software on GKE and Cloud Run, configured to admit only trusted code. Using an example application, you’ll implement tools for creating an end-to-end delivery pipeline using Google Cloud services.By the end of this book, you’ll be able to build a secure software delivery pipeline from development to production using Google Cloud managed services and best practices.
Giovanni Galloro, David Dorbin, Richard Seroter, Nathaniel...
Continuous delivery, a cornerstone of modern software engineering, facilitates quick and secure software delivery using a robust toolkit encompassing automated builds, testing, source code management, artifact storage, and deployment. Whether you integrate tools from different providers or use a set of managed services from a single cloud provider, the goal is to streamline setup, integration, and management. This book focuses on continuous delivery on Google Cloud.Starting with an introduction to continuous delivery and secure software supply chain concepts, this book uses hands-on exercises to demonstrate how to continuously test your application with Skaffold and Cloud Code, leverage AI-assisted code generation with Cloud Code and Cloud Workstations, and automate your continuous integration with Cloud Build. You’ll see how to store and scan your software artifacts on Artifact Registry, orchestrate deployments with Cloud Deploy, and release your software on GKE and Cloud Run, configured to admit only trusted code. Using an example application, you’ll implement tools for creating an end-to-end delivery pipeline using Google Cloud services.By the end of this book, you’ll be able to build a secure software delivery pipeline from development to production using Google Cloud managed services and best practices.
IT Governance Publishing, Lee Newcombe
Cloud computing plays a critical role in modern business, but with it comes a host of security challenges. This book explores the intricacies of securing cloud services, starting with foundational concepts of cloud computing and moving into specific service and deployment models. It provides insights into balancing security benefits with potential risks such as availability issues, shadow IT, and information leakage. The book goes on to focus on security threats, from hackers and insiders to government entities, while offering strategies to mitigate these risks. The practical approach continues with a deep dive into security architecture, providing a structured model to secure cloud environments across IaaS, PaaS, SaaS, and more. Further, it examines the regulatory landscape, including compliance requirements, privacy concerns, and data protection laws that impact cloud service security. Finally, the book concludes with projections about the future of cloud security and emerging challenges. Readers will gain not only the theoretical foundations but also real-world insights that they can apply to strengthen their cloud service security.
Akash Mahajan, MADHU AKULA
Security automation is one of the most interesting skills to have nowadays. Ansible allows you to write automation procedures once and use them across your entire infrastructure. This book will teach you the best way to use Ansible for seemingly complex tasks by using the various building blocks available and creating solutions that are easy to teach others, store for later, perform version control on, and repeat.We’ll start by covering various popular modules and writing simple playbooks to showcase those modules. You’ll see how this can be applied over a variety of platforms and operating systems, whether they are Windows/Linux bare metal servers or containers on a cloud platform. Once the bare bones automation is in place, you’ll learn how to leverage tools such as Ansible Tower or even Jenkins to create scheduled repeatable processes around security patching, security hardening, compliance reports, monitoring of systems, and so on. Moving on, you’ll delve into useful security automation techniques and approaches, and learn how to extend Ansible for enhanced security. While on the way, we will tackle topics like how to manage secrets, how to manage all the playbooks that we will create and how to enable collaboration using Ansible Galaxy. In the final stretch, we’ll tackle how to extend the modules of Ansible for our use, and do all the previous tasks in a programmatic manner to get even more powerful automation frameworks and rigs.
Corey Charles Sr., Frank McMahon
Designed to address the most common pain point for security teams—scalability—Security Automation with Python leverages the author’s years of experience in vulnerability management to provide you with actionable guidance on automating security workflows to streamline your operations and improve your organization’s overall security posture.What makes this book stand out is its hands-on approach. You won’t just learn theoretical concepts—you’ll apply Python-based automation techniques directly to real-world scenarios. Whether you're automating vulnerability scans, managing firewall rules, or responding to security incidents, this book provides clear examples and use cases, breaking down complex topics into easily digestible steps. With libraries like Paramiko, Requests, and PyAutoGUI, you’ll automate everything from network scanning and threat intelligence gathering to system patching and alert management. Plus, this book focuses heavily on practical tips for error handling, scaling automation workflows, and integrating Python scripts into larger security infrastructures.By the end of this book, you'll have developed a set of highly valuable skills, from creating custom automation scripts to deploying them in production environments, and completed projects that can be immediately put to use in your organization.
Selenium. Automatyczne testowanie aplikacji
Prashanth Sams
Poznaj możliwości automatycznych testów aplikacji sieciowych dzięki funkcjonalnościom Selenium WebDriver. Selenium WebDriver jest narzędziem udostępnianym na zasadach open source, które służy do automatyzacji testów aplikacji sieciowych. Oprogramowanie Selenium jest niezależne od systemu operacyjnego i może być obsługiwane w dowolnym z popularnych języków programowania. Historia tego narzędzia rozpoczyna się w 2004 roku. Dziś Selenium WebDriver jest na całym świecie najczęściej wykorzystywanym narzędziem do automatyzacji testów, cenionym za swoją wszechstronność, elastyczność i łatwość użytkowania. Przewodnik ten przeznaczony jest dla osób posiadających już pewną wiedzę o automatyzacji testów aplikacji. Zawarto tu niezbędne informacje o środowisku Selenium IDE oraz o sposobach jego wykorzystania do automatyzacji testów i debugowania rozbudowanych aplikacji. Przedstawiono narzędzie Selenium WebDriver, dzięki któremu można wykonywać testy automatyczne na wielu przeglądarkach. Opisano bardziej złożone mechanizmy uruchamiania takich testów w chmurze i omówiono funkcje udostępniane przez Selenium WebDriver API, które mogą zostać wykorzystane do tworzenia efektywnych testów automatycznych. Zaprezentowano również techniki tworzenia testów sterowanych danymi i zachowaniem aplikacji. Najważniejsze zagadnienia omówione w książce: zasady korzystania z oprogramowania Selenium IDE i Selenium Builder wykonywanie efektywnych testów kompatybilności funkcje Selenium WebDriver wraz z ich omówieniem i przykładami różne techniki zarządzania zadaniami automatycznymi Selenium frameworki, ich dostosowywanie i tworzenie nowych na podstawie Selenium WebDriver Prashanth Sams jest inżynierem automatyzacji testów działającym w branży IT od 2011 roku. Zdobył bogate doświadczenie przy realizacji wielu projektów, pracując z różnymi narzędziami do automatyzacji. Uwielbia nowe technologie, a przy tym chętnie dzieli się swoją wiedzą, aktywnie wspierając społeczności programistów i testerów, szczególnie oprogramowania Selenium. Testowanie aplikacji? Z Selenium wykonasz je sprawnie i efektywnie!
Dima Kovalenko
Selenium WebDriver is a global leader in automated web testing. It empowers users to perform complex testing scenarios with its simple and powerful interface.This guide will provide you with all the skills you need to successfully create a functional Selenium test suite. Starting from the very beginning of the Selenium IDE, this book will show you how to transition into a real programing language such as Ruby or Java. You will quickly learn how to improve your code quality with refactoring and the skills needed to plan for the future development of your website to future-proof your test suite. With ample test examples running against a life-like e-commerce store and detailed step-by-step code review and explanations, you will be ready to test any challenge web developers might throw your way.This book is intended for anyone who wants to create a test suite that is easy to maintain by expanding your knowledge until you feel truly confident and comfortable with Selenium.
Prashanth Sams
If you are a developer who wants to migrate from Selenium RC or any other automation tool to Selenium WebDriver, then this book is for you. Knowledge of automation tools is necessary to follow the examples in this book.