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Introduction & Set Up

Last updated Jan 19, 2025

🔑 Key for Reading my notes

✍️ Summary section

Where I recommend not pausing your workflow

Using our terminal window

📝 Using our code editor

⚒️ A difference between the course and what I had to do to 'fix' it

What we learned

♻️ Where we will recall something from a pervious lesson

📚 Supplemental Materials

🔖 A link I recommend bookmarking

🔗 Additional Helpful links

☑️ Getting Started

To obtain the certificate, you only need to pass the project at the end of the course. To get the most out of the course, completing the homework, #learninginpublic, and helping answer other student's questions is encouraged.

🔽 Download & Set-Up

I believe the alternative option is using a virtual environment in Google Cloud and Github Codespace. You can see the videos on the set-up here in videos: 1.4.1 - https://www.youtube.com/watch?v=ae-CV2KfoN0&list=PL3MmuxUbc_hJed7dXYoJw8DoCuVHhGEQb&index=15 1.4.2 - https://www.youtube.com/watch?v=XOSUt8Ih3zA&list=PL3MmuxUbc_hJed7dXYoJw8DoCuVHhGEQb&index=16

I have not attempted this alternative yet, but will update this section if I do.

🔖 Bookmark these!

If you use google chrome, I recommend creating a group tab. You can learn how here.

Asking for Help in Slack

  1. Join the slack data engineering course channel link posted above

  2. Follow these recommendations when asking for help

  • I may update these as I go through the course.

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