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In this course, you will :
- Examine Python pandas concepts in depth.
- Riddles will help you test your knowledge of pandas.
- With the help of puzzles, discover the secrets of pandas.
- Learn how to use pandas in Python.
- Learn the Zen of Python principles for pandas library instructions.
- Learn how to avoid common panda mistakes.
Syllabus :
1. Puzzles
- Puzzle 1: Rectified
- Relational Operators with Pandas Series
- Puzzle 2: In or Out?
- Access Elements of Pandas Series
- Puzzle 3: Month by Month
- Read CSV Data into Pandas DataFrames
- Puzzle 4: Round and Round We Go
- The round() Function with a Pandas Series
- Puzzle 5: Who's in Rick's Garage?
- The lower() Method with Pandas Series
- Puzzle 6: All Full
- The all() Method with Pandas Series
- Puzzle 7: Div Sum
- The sum() Method with Pandas Series
- Puzzle 8: Once Upon a Time
- Compare naive and tz-aware Values
- Puzzle 9: A Hefty Bonus
- Add the Values of a Pandas Series
- Puzzle 10: Free Range
- Relational and Logical Operators with Pandas Series
- Puzzle 11: fillna()? Phil? Nah!
- fillna() with Pandas Series
- Puzzle 12: Multiplying
- Multiplying Values of Pandas Series
- Puzzle 13: A 10% Discount
- Access and Modify DataFrames Values
- Puzzle 14: A Tale of One City
- Call Functions on Pandas DataFrames Values
- Puzzle 15: Free-Range
- Print the Length of DataFrames at a Specified Location
- Puzzle 16: Y3K
- Create a Pandas Timestamp Object
- Puzzle 17: Not My Type
- Concatenate Values of Two DataFrames
- Puzzle 18: Off with Their NaNs
- Logical Operators with Pandas Series
- Puzzle 19: Holding Out for a Hero
- Find Values in a Pandas Series
- Puzzle 20: It's a Date!
- Create a Pandas Timestamp and date_range Object
- Puzzle 21: What's the Points?
- Export Pandas DataFrame to CSV Format
- Puzzle 22: Quick, Find a Phone Booth!
- Merge the Values of Two DataFrames
- Puzzle 23: Chain of Commands
- Implicit Line Joining
- Puzzle 24: Late Addition
- Insert Columns into a Pandas DataFrame
- Puzzle 25: Hit and Run
- Read an SQLite File
