1.  Introduction to REST API Testing 1.1. What is an API? An API (Application Programming Interface) defines the methods, protocols, and tools for building software applications. It specifies how different software components should interact with each other. In our social media application, the API provides a set of endpoints and rules for accessing and manipulating user profiles. The API documentation defines the available endpoints, the required parameters, the expected response format, and any authentication requirements. Developers can use this API to integrate social media features into their own applications. Table of Contents: 1. Introduction to REST API Testing      1.1. What is an API?      1.2. What is REST API?      1.3. What is SOAP API?      1.4. Why Test APIs?      1.4. Challenges in API Testing 2. Key Concepts in REST API Testing      2.1. HTTP Methods (GET, POST, PUT, DELETE)      2.2. URI (Uniform Resource Identifier)      2.3. Request Headers      2.4. Request Bod

The tech industry is constantly evolving, and professionals in the field must keep up with the latest trends and technologies to stay relevant. In this blog, we will discuss the top 10 tech skills in demand in today's job market, which can help job seekers and tech professionals understand the most important skills for success in the industry. 1. Cloud Computing Cloud computing is a technology that allows the delivery of computing services, including servers, storage, databases, networking, software, and analytics, over the internet. As more and more companies are moving towards cloud-based services, the demand for professionals with cloud computing skills is increasing. Cloud computing has several advantages over traditional on-premises computing, such as increased scalability, cost-effectiveness, and flexibility. As a result, more and more companies are embracing cloud computing, and the demand for cloud computing professionals is increasing. Some popular cloud computing platform

In this tutorial, we'll explain each and every aspect of Behavior Driven Development. This BDD Python tutorial will help you create and design your automation tests and framework. Table of Content 1. What is BDD? 2. What is Gherkin Language in BDD? 3. What is Behave in Python? 4. Installing and Setup Behave 5. Project Structure for Behave Python (BDD) 6. Feature Files, Step Functions and Other Files in Behave Feature File Step Functions Step Parameters Passing String Param from Feature File Passing Integer Param from Feature File environment.py file behave.ini file 7. Run Feature files in Behave Run a single feature file Run multiple feature files Generate JUNIT xml reports with behave Run feature files with Python suite file Upcoming Tutorials: 8. API Automation Testing with BDD Python (Behave) 9. Selenium Automation with BDD Python (Behave) 1. What is BDD? BDD stands for Behavior Driven Development. BDD is an agile process of development. It encourages non-technical or business t

Top Indian CEOs in the USA Indian Americans have been making significant contributions to the US economy for decades. Many Indian-origin executives have reached the pinnacle of success in American corporations and hold some of the highest-paid positions in the country. In this post, we will take a look at the top 10 highly paid Indian-origin CEOs in the USA, their history, academics, salary, and net worth. 1. Sunder Pichai   Salary US$ 199.7 million Sundar Pichai is the CEO of Google and Alphabet Inc. Born in Tamil Nadu, India, Pichai grew up in a middle-class family and earned a Bachelor’s degree in Metallurgical Engineering from the Indian Institute of Technology in Kharagpur. He went on to earn a Master’s degree in Material Sciences and Engineering from Stanford University and an MBA from the Wharton School of the University of Pennsylvania. Pichai joined Google in 2004 and rose through the ranks to become CEO in 2015. His annual salary in 2021 was $2 million, and his net wort

Artificial Intelligence Chatting Robots, or chatbots, have come a long way since their inception. What began as simple text-based programs with predefined responses has evolved into sophisticated conversational agents capable of understanding and generating natural language. In this blog, we'll take a journey through the fascinating evolution of AI chatting robots, exploring their humble beginnings, key milestones, and the powerful technologies that drive them today. 1. The Birth of ELIZA: The First Chatbot ELIZA, developed by Joseph Weizenbaum in the mid-1960s, is often regarded as the pioneer of chatbot technology. ELIZA was primarily designed as a simple rule-based program that could simulate Rogerian psychotherapy sessions. It utilized pattern matching and predefined scripts to mimic human conversation. ELIZA would respond to users by mirroring their statements and asking open-ended questions, creating the illusion of a therapeutic dialogue. Example: User: "I'm feelin