🔅 Python Data Structures: Stacks, Deques, and Queues
🌐 Author: Dhhyey Desai
🔰 Level: Advanced
⏰ Duration: 35m
📗 Topics: Data Structures, Python
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🌀 Learn about the top three linear data structures—stacks, queues, and deque—and build your own data structures in Python.
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Stacks, deques, and queues are three essential Python data structures. They form the backbone of many computer science algorithms, and showing a mastery of these concepts can help you in your current job or help you land your next role. In this course, Dhhyey Desai shows you how to build stacks, queues, and deques, and use these linear data structures to solve real-world problems you might encounter in your work.
Learn how to define each class and use Python's built-in methods to accomplish the necessary behaviors, such as push, pop, and peek; enqueue and dequeue; and add_front and remove_rear. Join Dhhyey in this course to learn the benefits of each of these common data structures, and add skills to your coding toolkit.This course includes Code Challenges powered by CoderPad. Code Challenges are interactive coding exercises with real-time feedback, so you can get hands-on coding practice alongside the course content to advance your programming skills.
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🔅 Python Automation and Testing
🌐 Author: Bhoomika Agarwal
🔰 Level: Intermediate
⏰ Duration: 1h 38m
📗 Topics: Python, Test Automation
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🌀 Learn how to automate your web UI testing with Python and Selenium.
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Do you spend too much time manually testing your user interfaces? Automation is the answer. Python and Selenium offer a simple but powerful framework to noscript any testing. Here, instructor Bhoomika Agarwal shows how to use the combination of Selenium WebDriver and Python code to automate web UI tests. Follow along and learn how to locate elements, navigate pages, test user interactions with forms and drag-and-drop elements, and use waits to control test timing and execution. The lessons are practical and can be immediately applied to your development workflow. Take the challenges included along the way to practice your new skills.
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🔅 Data Science Foundations: Python Scientific Stack [CoderPad]
🌐 Author: Miki Tebeka
🔰 Level: Intermediate
⏰ Duration: 2h 25m
📗 Topics: Data Science, Python
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🌀 Learn about the Python scientific stack, with an emphasis on how to use it to solve problems.
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Join instructor Miki Tebeka as he dives into the Python scientific stack and shows you how to use it to solve problems. Miki covers the major packages used throughout the data science process: numpy, pandas, matplotlib, scikit-learn, and others. He also guides you through how to load data, analyze data, run models, and display results.This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that youll likely encounter in the workplace. Check out the “Using GitHub Codespaces with this course” video to learn how to get started.
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