Data Science Foundations Python Scientific Stack (2022)

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2:25:38

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01 - Introduction

01 - The Python scientific stack.mp4

00:50

02 - What you should know.mp4

00:20

03 - Using GitHub Codespaces with this course.mp4

06:01

04 - Setup.mp4

01:15

02 - 1. Visual Studio Code

01 - Use code cells.mp4

02:23

02 - Extensions to the Python language.mp4

01:36

03 - Understand markdown cells.mp4

01:11

03 - 2. NumPy Basics

01 - NumPy overview.mp4

01:56

02 - NumPy arrays.mp4

03:22

03 - Slicing.mp4

01:49

04 - Learn boolean indexing.mp4

02:48

05 - Understand broadcasting.mp4

01:19

06 - Understand array operations.mp4

02:22

07 - Understand ufuncs.mp4

02:39

08 - Challenge Working with an image.mp4

00:58

09 - Solution Working with an image.mp4

01:22

04 - 3. pandas

01 - pandas overview.mp4

01:19

02 - Loading CSV files.mp4

03:12

03 - Parse time.mp4

01:47

04 - Access rows and columns.mp4

04:14

05 - Calculate distance.mp4

03:20

06 - Display speed box plot.mp4

02:08

07 - Challenge Taxi data mean speed.mp4

00:22

08 - Solution Taxi data mean speed.mp4

00:58

05 - 4. Folium and Geospatial Data

01 - Create an initial map.mp4

01:29

02 - Draw a track on map.mp4

02:56

03 - Using geospatial data with shapely.mp4

04:44

04 - Challenge Draw the running track.mp4

00:17

05 - Solution Draw the running track.mp4

01:02

06 - 5. NYC Taxi Data

01 - Examine data.mp4

01:17

02 - Load data from CSV files.mp4

01:31

03 - Working with categorical data.mp4

02:48

04 - Work with data Hourly trip rides.mp4

03:51

05 - Work with data Rides per hour.mp4

03:24

06 - Work with data Weather data.mp4

04:00

07 - Challenge Graphing taxi data.mp4

00:30

08 - Solution Graphing taxi data.mp4

02:37

07 - 6. scikit-learn

01 - scikit-learn introduction.mp4

01:13

02 - Linear regression.mp4

06:52

03 - Understand traintest split.mp4

02:11

04 - Preprocess data.mp4

03:15

05 - Compose pipelines.mp4

02:23

06 - Save and load models.mp4

01:53

07 - Challenge Handwritten digits.mp4

01:29

08 - Solution Handwritten digits.mp4

01:09

08 - 7. Plotting

01 - Overview of matplotlib.mp4

00:58

02 - Use styles.mp4

01:40

03 - Customize pandas output.mp4

03:16

04 - Plotting with pandas.mp4

02:18

05 - Use Matplotlib with pandas.mp4

02:15

06 - Tips and tricks.mp4

01:50

07 - Other plotting packages.mp4

02:43

08 - Challenge Stock data bar charts.mp4

00:28

09 - Solution Stock data bar charts.mp4

01:20

09 - 8. Other Packages

01 - Other packages overview.mp4

01:07

02 - Go faster with Numba.mp4

02:41

03 - Understand deep learning.mp4

04:56

04 - Work with image processing.mp4

02:34

05 - Understand NLP NLTK.mp4

03:02

06 - Working with bigger data.mp4

05:03

10 - 9. Development Process

01 - Development process overview.mp4

00:45

02 - Understand source control.mp4

01:12

03 - Learn code review.mp4

02:11

04 - Testing overview.mp4

02:33

05 - Testing example.mp4

02:01

11 - Conclusion

01 - Next steps.mp4

00:23

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