LA473 | FD0C5C9DFF423B2B844E1F778BB5E14B04469572

LA473

Name	LA473	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.0 GB
Total Files	23
Hash	FD0C5C9DFF423B2B844E1F778BB5E14B04469572

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1. About This Course.mp4	20.1 MB
10. Slicing and Other Operations on panda DataFrames, Part 1.mp4	40.7 MB
11. Slicing and Other Operations on panda DataFrames, Part 2.mp4	33.4 MB
12. Slicing and Other Operations on panda DataFrames, Part 3.mp4	47.3 MB
13. PEP 249 and Python Database Packages.mp4	41.9 MB
14. Connecting to and Operations on a Database, Part 1.mp4	38.8 MB
15. Connecting to and Operations on a Database, Part 2.mp4	71.0 MB
16. Connecting to and Operations on a Database, Part 3.mp4	12.1 MB
17. Using Python MongoDB Package - pymongo.mp4	61.4 MB
18. What Are Delimited Data Files.mp4	23.6 MB
19. Reading and Writing CSV Files as pandas DataFrames.mp4	28.8 MB
2. About the Author.mp4	9.0 MB
20. Using pandas DataFrames with Excel.mp4	48.4 MB
21. Brief Overview of Adding LaTeX to a Report.mp4	33.6 MB
22. Good Charting Practices and Review of a Complete Report.mp4	140.2 MB
23. What's Next.mp4	26.2 MB
3. Installing Jupyter Notebooks, Opening a Notebook, and Setting the Kernel, Part 1.mp4	33.7 MB
4. Installing Jupyter Notebooks, Opening a Notebook, and Setting the Kernel, Part 2.mp4	135.8 MB
5. Installing Jupyter Notebooks, Opening a Notebook, and Setting the Kernel, Part 3.mp4	17.8 MB
6. Using and Evaluating Both Code and Markdown Cells, Part 1.mp4	32.0 MB
7. Using and Evaluating Both Code and Markdown Cells, Part 2.mp4	42.7 MB
8. Creating a panda DataFrame and Examining Its Properties, Part 1.mp4	44.9 MB
9. Creating a panda DataFrame and Examining Its Properties, Part 2.mp4	51.1 MB
Total files 23