[ CourseLala.com ] Linkedin - Python for Data Science Tips, Tricks, and Techniques
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- ~Get Your Files Here !/02 - 1. Ingesting Data/03 - Working with Parquet files.mp4 23.2 MB
- ~Get Your Files Here !/02 - 1. Ingesting Data/01 - Working with JSON data.mp4 21.8 MB
- ~Get Your Files Here !/03 - 2. Exploring Data/01 - Reading data with pandas.mp4 20.9 MB
- ~Get Your Files Here !/04 - 3. Visualizing Data/01 - Basic charts in Plotly.mp4 15.2 MB
- ~Get Your Files Here !/Ex_Files_Python_for_Data_Science_Tips/Exercise Files/03_03.ipynb 14.8 MB
- ~Get Your Files Here !/04 - 3. Visualizing Data/02 - Small multiples with Plotly.mp4 14.3 MB
- ~Get Your Files Here !/02 - 1. Ingesting Data/04 - Reading data from GitHub API.mp4 13.7 MB
- ~Get Your Files Here !/03 - 2. Exploring Data/03 - Aggregating data with pandas.mp4 12.8 MB
- ~Get Your Files Here !/04 - 3. Visualizing Data/04 - Finishing your data visualizations in Plotly.mp4 12.6 MB
- ~Get Your Files Here !/04 - 3. Visualizing Data/03 - Using color in Plotly.mp4 12.3 MB
- ~Get Your Files Here !/03 - 2. Exploring Data/04 - Exporting data with pandas.mp4 11.9 MB
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- ~Get Your Files Here !/02 - 1. Ingesting Data/02 - Working with CSV files.mp4 7.6 MB
- ~Get Your Files Here !/01 - Introduction/04 - Set up on Windows.mp4 6.4 MB
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- ~Get Your Files Here !/01 - Introduction/01 - Discover new tips and tricks for Python.mp4 4.3 MB
- ~Get Your Files Here !/01 - Introduction/03 - Using the exercise files.mp4 3.1 MB
- ~Get Your Files Here !/Ex_Files_Python_for_Data_Science_Tips/Exercise Files/data/diamonds.csv 2.6 MB
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- ~Get Your Files Here !/05 - Conclusion/01 - Next steps and additional resources.mp4 1.5 MB
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- ~Get Your Files Here !/01 - Introduction/02 - What you should know.mp4 381.8 KB
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- ~Get Your Files Here !/02 - 1. Ingesting Data/01 - Working with JSON data.srt 15.0 KB
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- ~Get Your Files Here !/03 - 2. Exploring Data/01 - Reading data with pandas.srt 11.5 KB
- ~Get Your Files Here !/04 - 3. Visualizing Data/01 - Basic charts in Plotly.srt 11.1 KB
- ~Get Your Files Here !/02 - 1. Ingesting Data/03 - Working with Parquet files.srt 10.7 KB
- ~Get Your Files Here !/04 - 3. Visualizing Data/02 - Small multiples with Plotly.srt 10.1 KB
- ~Get Your Files Here !/Ex_Files_Python_for_Data_Science_Tips/Exercise Files/01_02.ipynb 9.2 KB
- ~Get Your Files Here !/03 - 2. Exploring Data/03 - Aggregating data with pandas.srt 8.7 KB
- ~Get Your Files Here !/04 - 3. Visualizing Data/04 - Finishing your data visualizations in Plotly.srt 8.5 KB
- ~Get Your Files Here !/02 - 1. Ingesting Data/04 - Reading data from GitHub API.srt 8.0 KB
- ~Get Your Files Here !/03 - 2. Exploring Data/04 - Exporting data with pandas.srt 7.9 KB
- ~Get Your Files Here !/Ex_Files_Python_for_Data_Science_Tips/Exercise Files/01_04.ipynb 7.3 KB
- ~Get Your Files Here !/04 - 3. Visualizing Data/03 - Using color in Plotly.srt 7.3 KB
- ~Get Your Files Here !/Ex_Files_Python_for_Data_Science_Tips/Exercise Files/02_04.ipynb 7.0 KB
- ~Get Your Files Here !/03 - 2. Exploring Data/02 - Inspecting DataFrames with pandas.srt 6.8 KB
- ~Get Your Files Here !/02 - 1. Ingesting Data/02 - Working with CSV files.srt 4.9 KB
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- ~Get Your Files Here !/01 - Introduction/05 - Set up on Mac.srt 3.0 KB
- ~Get Your Files Here !/01 - Introduction/04 - Set up on Windows.srt 2.8 KB
- ~Get Your Files Here !/01 - Introduction/03 - Using the exercise files.srt 2.2 KB
- ~Get Your Files Here !/01 - Introduction/01 - Discover new tips and tricks for Python.srt 1.8 KB
- ~Get Your Files Here !/05 - Conclusion/01 - Next steps and additional resources.srt 1.8 KB
- ~Get Your Files Here !/Ex_Files_Python_for_Data_Science_Tips/Exercise Files/02_03.ipynb 1.7 KB
- ~Get Your Files Here !/Ex_Files_Python_for_Data_Science_Tips/Exercise Files/data/monthlySalesbyCategoryMultiple.json 1.6 KB
- ~Get Your Files Here !/Ex_Files_Python_for_Data_Science_Tips/Exercise Files/data/MonthlySales.csv 1019 bytes
- ~Get Your Files Here !/Ex_Files_Python_for_Data_Science_Tips/Exercise Files/data/anscombes-quartet.csv 607 bytes
- ~Get Your Files Here !/01 - Introduction/02 - What you should know.srt 512 bytes
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