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Content

• RefactoringPandas.ipynb

• sp_df.csv

• tickers-2021.csv

• lab_tickers.csv

Introduction

• clip1.mov

Course Overview

• 02-Course Overview.mov

Learning Note

• 03-Doing.mov

Lambdas

• 04-Lambda.mov1

Comprehensions

• 05-Comprehension.mov

Code Overview

• 06-Code Overview.mov

Lab 1

• 01-Wecome.mov

• lab.ipynb2

• 06-Lab overview.mov

• 06a-Setup.mov

• Now it is your turn

• 06b-Setup.mov

• sp_df.csv

• lab_tickers.csv

Code Issues

• 07-Code Issues.mov

Your Plan of Attack

• 08-Map Approach.mov

Lab 2

• 08-Map.mov

• 08b-Map.mov

Inspecting Original Code

• 09-Raw Data.mov2

More Inspecting Original Code

• 10-Porfolio Data.mov

Lab 3

• 10-Data.mov

• 10b-Data.mov2

Reformat Notebook

• 11-Reformat Notebook.mov

Lab 4

• 11-Reformat.mov

• 11b-Reformat.mov

Refactored Code

• 12-Updating Code.mov

Lab 5

• 12-Refactor.mov

• 12b-Refactor.mov

Using Numpy in Pandas

• 13-Numpy Speed.mov

Using .pipe to Create Globals

• 14-Creating Globals.mov

Validating Results

• 15-Validating Results.mov

Lab 6

• 15-Validate.mov

• 15b-Validate.mov

Finish Refactoring

• 16-Finish Porting.mov

Lab 7

• 16-Validate.mov

• 16b-Validate.mov

Creating a Function

• 17-Create Function.mov

Lab 8

• 17-Reformat.mov

• 17b-Reformat.mov

Pytest

• 18-Pytest.mov

Lab 9

• 18-Pytest.mov

• 18b-Pytest.mov

IPytest

• 19-IPytest.mov

Lab 10

• 19-IPytest.mov

• 19b-IPytest.mov

Conclusion

• 20-Conclusion.mov

Lab Conclusion

• 20-Conclusion.mov

• completelab.ipynb

Thanks for learning!

• 21-Feedback.mov