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Meet Shah: Lesson01 and Lesson02: Assignment and Activity PRs #5
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Used pandas to convert the csv in to a Data Structure, \ then using list comprehensions filtered the list down to specific danceability and loudness index. This list was then sorted by highest danceability and printed with song name and artist Changes to be committed: new file: build_playlist.py new file: featuresdf.csv
Changes to be committed: new file: inclass_activity/Untitled.ipynb new file: inclass_activity/calculator.ipynb new file: inclass_activity/functional_calculator.ipynb new file: inclass_activity/lambda.ipynb new file: inclass_activity/mapreduce.ipynb
Changes to be committed: new file: generator_solution.py
Changes to be committed: new file: iterator_2.py
Changes to be committed: new file: inclass_activity/closure.ipynb new file: inclass_activity/currying.ipynb new file: inclass_activity/iter_generator.ipynb new file: inclass_activity/scope testing.ipynb
meet29in
changed the title
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I've created "inclass_activity" folder under each Lesson folder and moved my corresponding class notes under that folder. |
…, artist name and energy. Includes test for the closure. Changes to be committed: new file: closure_test.py new file: featuresdf.csv new file: featuresdf_small.csv new file: lesson02_closure.py
…ession Changes to be committed: new file: generate_tracks_by_artist.py new file: generator_test.py
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Used pandas to convert the csv in to a Data Structure,
then using list comprehensions filtered the list down to specific danceability and loudness index.
This list was then sorted by highest danceability and printed with song name and artist
Changes to be committed:
new file: build_playlist.py
new file: featuresdf.csv