Adding Figures to Quickstart

[AndyTza]

Change Description

The following pull request has included two new figures for the Quickstart tutorial (closes Issue 402). The first figure includes a simple scatter plot of the computed features (delta-time versus SF2). The added cell includes a simple method for fetching the ID of the source object with the highest SF2 value:

max_id = result_comp.iloc[result_comp['sf2'].argmax()].lc_id
lc = ens.source.compute().loc[int(max_id)]

and includes a simple matplotlib plotting routine for the multi-band light curve of that specific source.

• [x] My PR includes a link to the issue that I am addressing

Solution Description

No issues have been fixed.

Code Quality

• [x] My code builds (or compiles) cleanly without any errors or warnings
• [x] My code contains relevant comments and necessary documentation

Project-Specific Pull Request Checklists

• [ ] I have added a function that requires a sync_tables command, and have added the neccesary sync_tables call

Bug Fix Checklist

• [ ] My fix includes a new test that breaks as a result of the bug (if possible)
• [ ] My change includes a breaking change
  • [ ] My change includes backwards compatibility and deprecation warnings (if possible)

New Feature Checklist

• [ ] I have added or updated the docstrings associated with my feature using the NumPy docstring format
• [x] I have updated the tutorial to highlight my new feature (if appropriate)
• [ ] I have added unit/End-to-End (E2E) test cases to cover my new feature
• [ ] My change includes a breaking change
  • [ ] My change includes backwards compatibility and deprecation warnings (if possible)

Documentation Change Checklist

• [ ] Any updated docstrings use the NumPy docstring format

Build/CI Change Checklist

• [ ] If required or optional dependencies have changed (including version numbers), I have updated the README to reflect this
• [ ] If this is a new CI setup, I have added the associated badge to the README

Other Change Checklist

• [ ] Any new or updated docstrings use the NumPy docstring format.
• [ ] I have updated the tutorial to highlight my new feature (if appropriate)
• [ ] I have added unit/End-to-End (E2E) test cases to cover any changes
• [ ] My change includes a breaking change
  • [ ] My change includes backwards compatibility and deprecation warnings (if possible)

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Before [86a0c45a] <v0.3.5>	After [226a09db]	Ratio	Benchmark (Parameter)
44.5±0.1ms	45.4±0.1ms	1.02	benchmarks.time_batch
47.4±0.2ms	48.1±0.5ms	1.02	benchmarks.time_prune_sync_workflow

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Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Project coverage is 95.55%. Comparing base (86a0c45) to head (a40a6cf).

Additional details and impacted files

```diff @@ Coverage Diff @@ ## main #403 +/- ## ======================================= Coverage 95.55% 95.55% ======================================= Files 25 25 Lines 1710 1710 ======================================= Hits 1634 1634 Misses 76 76 ```

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