course content

Course Content

Pandas First Steps

1. The Very First Steps

What Is pandas? SeriesChallengeDataFrameChallenge 1Challenge 2Add a New Column 1/2Add a New Column 2/2Delete a Row/Column ChallengeWork With ColumnsChallengeFunction iloc() 1/2Function iloc() 2/2

2. Reading Files in Pandas

CSV FilesTXT FilesChallenge 1Challenge 2

3. Analyzing the Data

Viewing the DataChallenge 1Challenge 2Information on the Data 1/2Information on the Data 2/2Finding Null ValuesChallengeDropping Null ValuesFilling Null ValuesChallengeDescribing the DataChallengeMax() and Min()ChallengeSum() and Count()Unique Values

Pandas First Steps

ChallengeChallenge

question-icon

If we have a DataFrame called 'products' with four columns: 'id', 'name', 'type', and 'price', how would we correctly extract the 'name' and 'price' columns?

Select the correct answer

Hint
To extract multiple columns from a DataFrame, you should use the following syntax: `dataframe[['column1', 'column2']]`.

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Section 1. Chapter 12