Linkedin - Python For Data Science Tips Tricks And Techniques
File List
- 2. Ingesting Data/3. Working with Parquet files.mp4 23.2 MB
- 2. Ingesting Data/1. Working with JSON data.mp4 21.8 MB
- 3. Exploring Data/1. Reading data with pandas.mp4 20.9 MB
- 4. Visualizing Data/1. Basic charts in Plotly.mp4 15.2 MB
- Exercise Files/03_03.ipynb 14.8 MB
- 4. Visualizing Data/2. Small multiples with Plotly.mp4 14.3 MB
- 2. Ingesting Data/4. Reading data from GitHub API.mp4 13.7 MB
- 3. Exploring Data/3. Aggregating data with pandas.mp4 12.8 MB
- 4. Visualizing Data/4. Finishing your data visualizations in Plotly.mp4 12.6 MB
- 4. Visualizing Data/3. Using color in Plotly.mp4 12.3 MB
- 3. Exploring Data/4. Exporting data with pandas.mp4 11.9 MB
- 3. Exploring Data/2. Inspecting DataFrames with pandas.mp4 9.3 MB
- Exercise Files/03_01.ipynb 8.3 MB
- 2. Ingesting Data/2. Working with CSV files.mp4 7.6 MB
- 1. Introduction/4. Set up on Windows.mp4 6.4 MB
- 1. Introduction/5. Set up on Mac.mp4 4.9 MB
- 1. Introduction/1. Discover new tips and tricks for Python.mp4 4.3 MB
- 1. Introduction/3. Using the exercise files.mp4 3.1 MB
- Exercise Files/data/diamonds.csv 2.6 MB
- Exercise Files/03_02.ipynb 2.5 MB
- Exercise Files/01_03.ipynb 2.4 MB
- 5. Conclusion/1. Next steps and additional resources.mp4 1.5 MB
- Exercise Files/data/MonthlyProductSales.csv 515.1 KB
- Exercise Files/03_04.ipynb 398.1 KB
- 1. Introduction/2. What you should know.mp4 381.8 KB
- Exercise Files/data/MonthlyProductSales.parquet 74.2 KB
- Exercise Files/02_02.ipynb 18.2 KB
- Exercise Files/data/mpg.csv 15.7 KB
- Exercise Files/01_01.ipynb 11.7 KB
- Exercise Files/01_02.ipynb 9.2 KB
- Exercise Files/01_04.ipynb 7.3 KB
- Exercise Files/02_04.ipynb 7.0 KB
- Exercise Files/02_01.ipynb 3.9 KB
- Exercise Files/02_03.ipynb 1.7 KB
- Exercise Files/data/monthlySalesbyCategoryMultiple.json 1.6 KB
- Exercise Files/data/MonthlySales.csv 1019 bytes
- Exercise Files/data/anscombes-quartet.csv 607 bytes
- Exercise Files/data/anscombes-quartet-hier.csv 496 bytes
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