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- Introduction and Agenda for the episode
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Classroom Contents
Data's Role in Moon Missions - Fictional and Real
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- 1 - Introduction and Agenda for the episode
- 2 - Setup local environment guidelines
- 3 - Setup for this project and intro to Python notebooks in VSCode
- 4 - Choosing data for analysis - NASA Lunar Rock Curation
- 5 - Discussion on importance of weight in space exploration
- 6 - Defining problem to solve through data science practices
- 7 - Import and explore data into notebook with pandas
- 8 - Manipulate rock sample data to match rocket data
- 9 - Create dataframe to view data based on unique missions
- 10 - Add total sample amount for each mission
- 11 - Comparing missions
- 12 - Removing not-a-number values
- 13 - Add rocket ship data into dataframe
- 14 - Add rocket payload data and determine ratios
- 15 - Add Artemis data
- 16 - Estimate sample weight per Artemis mission
- 17 - Determining the right samples to collect
- 18 - Exploring the cut of samples to prioritize
- 19 - Finalizing the samples that represent the profile for new samples
- 20 - Create the dataframe final profile for new sample gathering
- 21 - Determine recommendations based on Artemis constraints
- 22 - Recap