Step-by-step guide to understand key concepts for Selenium Automation using examples to shine in your interview for test automation roles DESCRIPTION Software Engineering has taken massive strides with a multitude of technology innovations. With several changes being introduced Ð development of products and their integration into the market Ð understanding of mobile devices and user interface channels across a plethora of platforms is getting complex day by day. In addition, since the process or procedures of software testing for products and applications can become an act of boiling the ocean, the role of test automation is crucial while dealing with such challenges. This book aims to equip you with just enough knowledge of Selenium in conjunction with concepts you need to master to succeed in the role of Selenium Automation Engineer. It is the most widely used test automation tool and a much sought-after automated testing suite, by automation engineers who are equipped with technical expertise and analytical skills, for web applications across different browsers and platforms.ÊÊ The book starts with a brief introduction to the world of automation and why it is important, succinctly covering the history of Selenium and the capabilities it offers. In this book, you will learn how to do simple Selenium-based automation with examples and understand the progressive complexity of some key features. Before diving deep into advanced concepts such as Page Object Models, Test Automation Framework and Cross Browser testing, you will grasp comprehensive knowledge of several concepts related to Java, Python, JavaScript and Ruby programming languages. In addition, concepts on Selenium Web Driver, Grid and use of Selenium Locators, IDEs and tools to build complex test automation framework are also explained with practical examples. Each chapter has a set of key concepts and questions that one may face during interviews.Ê KEY FEATURES Acquire Selenium skills to do independent test automation projects Learn the basics of Selenium Web Driver for test automation using Selenium Understand Page Object Model, including how and when they're used in test automation Understand the approach for building a test automation framework Build Selenium test automation scripts using various languages Ð Java, Python, JavaScript/Node JS and Ruby Learn how to report and integrate with CI tools for test automationÊ Get some professional tips for handing interviews and test automation approach Implement cross-browser testing scenarios using Selenium Grid and commercial tools and services WHAT WILL YOU LEARN By the end of the book, you will find several examples to help ignite your understanding and usage of Selenium across a myriad of languages and frameworks. With this, youÕll be able to put your knowledge to practice and solve real-life test automation challenges such as testing a web site, mobile application and leveraging tools available for fast-tracking your test automation approach. You can also choose to practice additional examples provided in the code bundle of the book to master the concepts and techniques explained in this book. WHO THIS BOOK IS FOR The book is intended for anyone looking to make a career in test automation using Selenium, all aspiring manual testers who want to learn the most powerful test automation framework Ð Selenium and associated programming languages Ð or working professionals who want to switch their career to testing. While no prior knowledge of Selenium, test automation or related technologies is assumed, it will be helpful to have some programming experience to understand the concepts explained in this book.Ê Table of Contents 1. Introduction to Test Automation 2. Introduction to SeleniumÊ 3. Understanding Selenium Architecture 4. Understanding Selenium Tools 5. Understanding Web UIÊ 6. Web UI Automation with Selenium Using Java & Python 7. Selenium Coding with Other Languages Ð Ruby & JavaScript 8. Building a Test Automation Framework with Selenium 9. Advanced Features of Selenium Using Java & Python 10. Cross-Browser Test Automation 11. Tips and Tricks for Test Automation 12. Interview Tips
Step-by-step guide to understand key concepts for Selenium Automation using examples to shine in your interview for test automation roles Key Featuresa- Acquire Selenium skills to do independent test automation projectsa- Learn the basics of Selenium Web Driver for test automation using Seleniuma- Understand Page Object Model, including how and when they're used in test automationa- Understand the approach for building a test automation frameworka- Build Selenium test automation scripts using various languages - Java, Python, JavaScript/Node JS and Rubya- Learn how to report and integrate with CI tools for test automation a- Get some professional tips for handing interviews and test automation approacha- Implement cross-browser testing scenarios using Selenium Grid and commercial tools and servicesDescriptionSoftware Engineering has taken massive strides with a multitude of technology innovations. With several changes being introduced - development of products and their integration into the market - understanding of mobile devices and user interface channels across a plethora of platforms is getting complex day by day. In addition, since the process or procedures of software testing for products and applications can become an act of boiling the ocean, the role of test automation is crucial while dealing with such challenges.The book starts with a brief introduction to the world of automation and why it is important, succinctly covering the history of Selenium and the capabilities it offers. In this book, you will learn how to do simple Selenium-based automation with examples and understand the progressive complexity of some key features. Before diving deep into advanced concepts such as Page Object Models, Test Automation Framework and Cross Browser testing, you will grasp comprehensive knowledge of several concepts related to Java, Python, JavaScript and Ruby programming languages.What will you learnBy the end of the book, you will find several examples to help ignite your understanding and usage of Selenium across a myriad of languages and frameworks. With this, you'll be able to put your knowledge to practice and solve real-life test automation challenges such as testing a web site, mobile application and leveraging tools available for fast-tracking your test automation approach. Who this book is forThe book is intended for anyone looking to make a career in test automation using Selenium, all aspiring manual testers who want to learn the most powerful test automation framework - Selenium and associated programming languages - or working professionals who want to switch their career to testing. Table of Contents1. Introduction to Test Automation2. Introduction to Selenium 3. Understanding Selenium Architecture4. Understanding Selenium Tools5. Understanding Web UI 6. Web UI Automation with Selenium Using Java & Python7. Selenium Coding with Other Languages - Ruby & JavaScript6. Building a Test Automation Framework with Selenium8. Advanced Features of Selenium Using Java & Python9. Cross-Browser Test Automation10. Tips and Tricks for Test Automation11. Interview Tips About the Author Kalilur Rahman has a Master's Degree in Business Administration preceded by an Engineering Degree in Computer Science and over 2 decades of experience in software development, testing and management consultancy. Kalilur has been a developer, designer, technical architect, test program manager, delivery unit head, IT Services and Factory Services Head of varying complexity across telecommunications, life sciences, retail and healthcare industries. His LinkedIn Profile: https://www.linkedin.com/in/kalilurrahman/
Build your data science skills. Start data visualization Using Python. Right away. Become a good data analyst by creating quality data visualizations using Python. KEY FEATURES ● Exciting coverage on loads of Python libraries, including Matplotlib, Seaborn, Pandas, and Plotly. ● Tons of examples, illustrations, and use-cases to demonstrate visual storytelling of varied datasets. ● Covers a strong fundamental understanding of exploratory data analysis (EDA), statistical modeling, and data mining. DESCRIPTION Data visualization plays a major role in solving data science challenges with various capabilities it offers. This book aims to equip you with a sound knowledge of Python in conjunction with the concepts you need to master to succeed as a data visualization expert. The book starts with a brief introduction to the world of data visualization and talks about why it is important, the history of visualization, and the capabilities it offers. You will learn how to do simple Python-based visualization with examples with progressive complexity of key features. The book starts with Matplotlib and explores the power of data visualization with over 50 examples. It then explores the power of data visualization using one of the popular exploratory data analysis-oriented libraries, Pandas. The book talks about statistically inclined data visualization libraries such as Seaborn. The book also teaches how we can leverage bokeh and Plotly for interactive data visualization. Each chapter is enriched and loaded with 30+ examples that will guide you in learning everything about data visualization and storytelling of mixed datasets. WHAT YOU WILL LEARN ● Learn to work with popular Python libraries and frameworks, including Seaborn, Bokeh, and Plotly. ● Practice your data visualization understanding across numerous datasets and real examples. ● Learn to visualize geospatial and time-series datasets. ● Perform correlation and EDA analysis using Pandas and Matplotlib. ● Get to know storytelling of complex and unstructured data using Bokeh and Pandas. ● Learn best practices in writing clean and short python scripts for a quicker visual summary of datasets. WHO THIS BOOK IS FOR This book is for all data analytics professionals, data scientists, and data mining hobbyists who want to be strong data visualizers by learning all the popular Python data visualization libraries. Prior working knowledge of Python is assumed. TABLE OF CONTENTS 1. Introduction to Data Visualization 2. Why Data Visualization 3. Various Data Visualization Elements and Tools 4. Using Matplotlib with Python 5. Using NumPy and Pandas for Plotting 6. Using Seaborn for Visualization 7. Using Bokeh with Python 8. Using Plotly, Folium, and Other Tools for Data Visualization 9. Hands-on Examples and Exercises, Case Studies, and Further Resources
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