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Webinar: Grading Jupyter Notebooks

Learn everything about grading Jupyter Notebooks manually and automatically. From theory behind the IPython Notebooks to putting it into practice in CodeGrade for your code assignment.

Webinar: Grading Jupyter Notebooks

Webinar: CS Education researcher Luca Chiodini on Programming Misconceptions

CSEd researcher Luca Chiodini discusses how you can use programming misconception theory to improve your Python course, Java course or JavaScript coding course.

Webinar: Autograding Web Development in CodeGrade

Learn how to effectively autograde web development and databases courses using Selenium, Jest, Mocha, HTML, CSS, JavaScript, SQLite, MySQL and CodeGrade for computer science education.

Webinar: Everything new for the new 2021/2022 academic year

Learn about all new CodeGrade features to grade computer science courses in the new 2021 / 2022 academic year.

Webinar: Getting Started for the new Academic Year

Learn everything to get started with CodeGrade's autograder for Python and Java the new academic year!

Webinar: Better Automatic Feedback for Computer Science Education

Learn about design principles for meaningful feedback and clear rubrics for computer science education and autograding code.

Webinar: How to automatically grade Data Science Assignments in R and Python

In this CodeGrade webinar you learn how to autograde R, Python and Jupyter Notebook data science assignments with big data sets and custom libraries (like pandas or Tensorflow).

Webinar: How to automatically grade Java code and code quality

Learn how to set up autograded Java assignments with JUnit unit tests, code quality grading with Checkstyle and PMD for education and JaCoCO

Webinar: How to use the CodeGrade API to automate your workflow

Learn more about using the CodeGrade API to automate your workflow in our latest webinar! Integrate CodeGrade for autograding and plagiarism detection for code.

Webinar: How to automatically grade Python and Jupyter Notebook assignments

Learn how you can autograde Python code and Jupyter Notebooks for your computer science assignments quickly and effectively

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