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Conclusion 1:
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Classroom Contents
Data Analysis with Python Tutorial
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- 1 Start
- 2 Introduction
- 3 Establishing Datasets
- 4 Starting Jupyterlab and Using It
- 5 Using Split Windows and Magic Commands
- 6 Magic Commands and Guide
- 7 End Magic Commands
- 8 Pandas Dataframe Examples and Table
- 9 Reading a CSV and Creating a Dataframe
- 10 Creating a Dataframe and Printing the Dataframe Head
- 11 .info and Data Validation
- 12 Select dtypes and Describe
- 13 Categories and Count
- 14 .agg Function and Dates
- 15 .iloc[ ] and Indexing
- 16 Booleans and .loc With Categoricals
- 17 Create a Mask 1:
- 18 Using a Mask 1:
- 19 Conclusion 1:
