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add week7 pandas
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.gitignore

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# Compiled source #
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###################
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*.com
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*.class
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*.dll
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*.exe
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*.o
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*.so
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# Packages #
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############
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# it's better to unpack these files and commit the raw source
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# git has its own built in compression methods
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*.7z
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*.dmg
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*.gz
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*.iso
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*.jar
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*.rar
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*.tar
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*.zip
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# Logs and databases #
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######################
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*.log
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*.sql
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*.sqlite
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# OS generated files #
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######################
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.DS_Store
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.DS_Store?
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._*
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.Spotlight-V100
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.Trashes
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.ipynb_checkpoints/
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ehthumbs.db
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Thumbs.db
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# Compiled source #
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###################
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*.com
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*.class
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*.dll
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*.exe
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*.o
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*.so
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# Packages #
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############
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# it's better to unpack these files and commit the raw source
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# git has its own built in compression methods
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*.7z
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*.dmg
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*.gz
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*.iso
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*.jar
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*.rar
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*.tar
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*.zip
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# Logs and databases #
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######################
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*.log
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*.sql
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*.sqlite
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# OS generated files #
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######################
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.DS_Store
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.DS_Store?
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._*
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.Spotlight-V100
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.Trashes
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.ipynb_checkpoints/
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ehthumbs.db
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Thumbs.db

README.md

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# NRES 898 Python Programming in Geoscience
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Dr. Michael Ou
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School of Natural Resources
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University of Nebraska-Lincoln
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--------
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To submit your exercise solution, please
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1. copy the exercise notebook file and rename it as `week5_exercise_fist_last.ipynb`
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2. add cells below each question and write your solution in those cells. Please test you code and generate and save the output.
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3. using `git` to commit the changes of your solution
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4. push your change to your github repo (which should be forked from my github repo) and create a `pull request`.
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# NRES 898 Python Programming in Geoscience
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Dr. Michael Ou
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School of Natural Resources
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University of Nebraska-Lincoln
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--------
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To submit your exercise solution, please
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1. copy the exercise notebook file and rename it as `week5_exercise_fist_last.ipynb`
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2. add cells below each question and write your solution in those cells. Please test you code and generate and save the output.
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3. using `git` to commit the changes of your solution
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4. push your change to your github repo (which should be forked from my github repo) and create a `pull request`.

dryland_corn_acres_state.csv

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