Linkedin Python For Data Science Tips Tricks And Techniques | F9DA79F4A165B47F6F5B47914B684EE5043FF1E9

Linkedin Python For Data Science Tips Tricks And Techniques

Name	Linkedin - Python For Data Science Tips Tricks And Techniques	DOWNLOAD Copy Link
Total Size	238.7 MB
Total Files	38
Last Seen	2024-11-20 00:24
Hash	F9DA79F4A165B47F6F5B47914B684EE5043FF1E9

/1. Introduction/
1. Discover new tips and tricks for Python.mp4	4.5 MB
2. What you should know.mp4	391.0 KB
3. Using the exercise files.mp4	3.2 MB
4. Set up on Windows.mp4	6.8 MB
5. Set up on Mac.mp4	5.1 MB
/2. Ingesting Data/
1. Working with JSON data.mp4	22.9 MB
2. Working with CSV files.mp4	7.9 MB
3. Working with Parquet files.mp4	24.3 MB
4. Reading data from GitHub API.mp4	14.3 MB
/3. Exploring Data/
1. Reading data with pandas.mp4	21.9 MB
2. Inspecting DataFrames with pandas.mp4	9.7 MB
3. Aggregating data with pandas.mp4	13.4 MB
4. Exporting data with pandas.mp4	12.5 MB
/4. Visualizing Data/
1. Basic charts in Plotly.mp4	15.9 MB
2. Small multiples with Plotly.mp4	15.0 MB
3. Using color in Plotly.mp4	12.9 MB
4. Finishing your data visualizations in Plotly.mp4	13.3 MB
/5. Conclusion/
1. Next steps and additional resources.mp4	1.6 MB
/Exercise Files/
01_01.ipynb	11.9 KB
01_02.ipynb	9.5 KB
01_03.ipynb	2.5 MB
01_04.ipynb	7.5 KB
02_01.ipynb	4.0 KB
02_02.ipynb	18.7 KB
02_03.ipynb	1.8 KB
02_04.ipynb	7.2 KB
03_01.ipynb	8.7 MB
03_02.ipynb	2.6 MB
03_03.ipynb	15.5 MB
03_04.ipynb	407.7 KB
/Exercise Files/data/
MonthlyProductSales.csv	527.4 KB
MonthlyProductSales.parquet	76.0 KB
MonthlySales.csv	1.0 KB
anscombes-quartet-hier.csv	0.5 KB
anscombes-quartet.csv	0.6 KB
diamonds.csv	2.8 MB
monthlySalesbyCategoryMultiple.json	1.7 KB
mpg.csv	16.0 KB
Total files 38