pandas in 30 days
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Introduction

Welcome to the course!
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Course videos

Day 1: What is pandas?
Day 2: How do I read a tabular data file into pandas?
Day 3: How do I select a pandas Series from a DataFrame?
Day 4: Why do some pandas commands end with parentheses (and others don't)?
Day 5: How do I rename columns in a pandas DataFrame?
Day 6: How do I remove columns from a pandas DataFrame?
Day 7: How do I sort a pandas DataFrame or a Series?
Day 8: How do I filter rows of a pandas DataFrame by column value?
Day 9: How do I apply multiple filter criteria to a pandas DataFrame?
Day 10: Your pandas questions answered!
Day 11: How do I use the "axis" parameter in pandas?
Day 12: How do I use string methods in pandas?
Day 13: How do I change the data type of a pandas Series?
Day 14: When should I use a "groupby" in pandas?
Day 15: How do I explore a pandas Series?
Intermission: Can I ask you a quick favor?
Day 16: How do I handle missing values in pandas?
Day 17: What do I need to know about the pandas index? (Part 1)
Day 18: What do I need to know about the pandas index? (Part 2)
Day 19: How do I select multiple rows and columns from a pandas DataFrame?
Day 20: When should I use the "inplace" parameter in pandas?
Day 21: How do I make my pandas DataFrame smaller and faster?
Day 22: How do I use pandas with scikit-learn to create Kaggle submissions?
Day 23: More of your pandas questions answered!
Day 24: How do I create dummy variables in pandas?
Day 25: How do I work with dates and times in pandas?
Day 26: How do I find and remove duplicate rows in pandas?
Day 27: How do I avoid a SettingWithCopyWarning in pandas?
Day 28: How do I change display options in pandas?
Day 29: How do I create a pandas DataFrame from another object?
Day 30: How do I apply a function to a pandas Series or DataFrame?
Bonus videos

Bonus: How do I merge DataFrames in pandas?
Bonus: How do I use the MultiIndex in pandas?
Bonus: My top 25 pandas tricks
Bonus: 21 more pandas tricks
Conclusion

Can I ask you a quick favor?
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Day 14: When should I use a "groupby" in pandas?

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