Hello ,

We have already finished our introductory lab session: Starting Python. During the session, we introduced and installed Python 3, Jupyter Notebook, and Visual Studio Code.

Here’s the complementary material from the lab, including a video, as well as the tasks for you to work on in this session.

Complementary material

The complete script and complementary material on Jupyter Notebook are available in the Session 0 repository. Moreover, a video with step-by-step instructions is attached for you to follow at your own pace.

Student Task

For this session, no report is required. However, the following readings are highly recommended:

• How to Prepare and Write a Technical Report: a post entry that guides you through the process of preparing a technical report.

• Technical Reports Grading Table: Understand how your reports will be graded and learn how to improve them.

We're here to support you

⚠️ Please remember not to reply to this email, as it is an automated, unsupervised account!

Got questions? Stuck on a problem? Join our community forum and connect with other students or lecturers who are ready to help you through any challenges. We will use our own Apache-Answer server to post and help each other. Please visit it and sign it using the link to https://answer.itmorelia.com. You have to register on the site to post or answer questions.

Related links 

• 📚 Lectures (Beamer presentations): 

  https://gmarx.itmorelia.com/lectures/artificial

• 📖 Support lectures and readings:

  https://eduhub.itmorelia.com/

• 💬 Collaboration platform (Answer): 

  https://answer.itmorelia.com/

• 📝 Research, science & education blog:

  https://blog-gmarx.itmorelia.com/

Stay tuned!

This is just the beginning! Keep an eye out for the following sessions in our AIA Lecture.

Happy learning and coding!

Best regards,

Gerardo Marx

Professor