Android App Development with Kotlin

Hi, welcome to the 'Master NumPy Basics For Data Science Data Analysis' course. This forms the basis for everything else. The central object in Numpy is the Numpy array, on which you can do various operations. We know that the matrix and arrays play an important role in numerical computation and data analysis. Pandas and other Machine Learning or AI tools need tabular or array-like data to work efficiently, so using NumPy in Pandas and Machine Learning packages can reduce the time and improve the performance of the data computation. NumPy based arrays are 10 to 100 times (even more than 100 times) faster than the Python Lists, hence if you are planning to work as a Data Analyst or Data Scientist or Big Data Engineer with Python, then you must be familiar with the NumPy as it offers a more convenient way to work with Matrix-like objects like Nd-arrays. And also we’re going to do a demo where we prove that using a Numpy vectorized operation is faster than normal Python lists.So if you want to learn about the fastest python-based numerical multidimensional data processing framework, which is the foundation for many data science packages like pandas for data analysis, sklearn scikit-learn for machine learning algorithm, you are at the right place and right track. The course contents are listed in the "Course content" section of the course, please go through it.I wish you all the very best and good luck with your future endeavors. Looking forward to seeing you inside the course.Towards your success:Pruthviraja L

Are you new to automation testing and want to start from the very basics?Welcome to “Selenium with Java: A Complete Guide – Basics”, a beginner-friendly course specially designed for freshers, manual testers, and anyone who wants to enter the world of test automation without confusion or fear of coding.In this course, you’ll learn automation step-by-step — starting from installing Java and setting up Selenium WebDriver, all the way to writing your first automation test scripts and understanding how browsers can be controlled using simple Java programs.No prior coding or automation experience is required. Every concept is explained in a clear and practical way, with hands-on examples that even non-programmers can easily follow.By the end of this course, you’ll build a strong foundation in Selenium automation testing, giving you the confidence to move forward into advanced frameworks, interview preparation, and real-world automation projects.What You’ll LearnWhat automation testing is and how Selenium worksInstalling and configuring Java Selenium WebDriverWriting your first Selenium automation scripts in JavaUnderstanding browser automation step-by-stepLocating elements and performing basic actionsRunning and debugging your test casesImportant NoteThis course currently focuses on the basics of Selenium with Java.Advanced topics such as TestNG, Page Object Model (POM), Framework Design, CI/CD integration, reporting, and interview preparation will be covered in future updates or in a dedicated advanced-level course.This beginner course is designed to prepare you perfectly for those advanced topics.Who This Course Is ForBeginners who want to start automation testingManual testers planning to move into automationFreshers and

Unlock your potential with our Python Course! Whether you're a beginner or looking to sharpen your skills, this course covers everything from basics to advanced concepts. Dive into real-world projects, master data manipulation, and build robust applications. Join now and transform your coding journey with hands-on learning and expert guidance.Key Highlights:Python Basics: Master variables, data types, and control structures to build a strong foundation.Functions and Modules: Learn to write reusable code and organize your projects efficiently.Data Manipulation: Gain expertise in handling lists, dictionaries, and file operations for robust data management.Error Handling: Understand how to debug and manage errors effectively, ensuring your code runs smoothly.Advanced Topics: Explore libraries like NumPy and pandas for data analysis, and Flask or Django for web development.Real-World Projects: Apply your skills to practical projects that mimic real-world scenarios, preparing you for the job market.Automation with Python: Discover how to automate repetitive tasks, saving time and boosting productivity.Interactive Learning: Benefit from interactive exercises, quizzes, and a supportive community to enhance your learning experience.Join now and transform your coding skills with engaging lessons, hands-on exercises, and expert guidance. Don't miss out on this opportunity to excel in Python and advance your career!

This course will teach you how to ace a technical job interview at a large Silicon Valley company such as Google, Microsoft, Facebook, Amazon, Uber, Airbnb, etc. You will get my top 3 secret tips for acing any interview at a top tier Silicon Valley company along with preparation tips for the different types of data structures and algorithm questions you can expect to see. I will walk through many examples of how to explain and code your solution during a technical interview.If you want to land your dream job, then let's get started today!

Jenkins for Beginner course is designed for the users who can understand the basic software development.This course is not just designed for DevOps engineers but also for developers, testers and Business Analyst.This course course covers below topics :Understanding the devops conceptsUnderstanding and configuring Jenkins in Windows OSUnderstanding and configuring Jenkins in Linux OSUnderstand and working with Jenkins freestyle projectUnderstanding what is MavenUnderstand and working with Maven projectUnderstand and working with Jenkins pipeline projectsAt the end of this course, will get clear understanding of what is Jenkins and how to design your solutions, deploy with CICD.

This is simple course on Plant Simulation via Aspen HYSYS will show you how to: Set a fluid packageManipulate a FlowsheetAdd unit operationsInput all the minimum required data. This is helpful for students, teachers, engineers and researchers in the area of R D and Plant Design/Operation. The course is didactic, with the minimum theory required to work on the Simulation Case (hands-on-workshop)!