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  • 2020-04-19 14:43:59
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Archived files
1.Course.Introduction\473-5787-1 - About This Course.mp4 [3daa8711628f00ba] 20,060,330 6C4F6D86
1.Course.Introduction\473-5787-2 - About the Author.mp4 [632a924148b25a00] 8,998,990 083EEC06
2.Jupyter.Notebooks\473-5801-1 - Installing Jupyter Notebooks, Opening a Notebook, and Setting the Kernel, Part 1.mp4 [a9f492976569ce2c] 33,656,596 9C45EB6A
2.Jupyter.Notebooks\473-5801-2 - Installing Jupyter Notebooks, Opening a Notebook, and Setting the Kernel, Part 2.mp4 [377867d14e4eb251] 135,823,724 2112A688
2.Jupyter.Notebooks\473-5801-3 - Installing Jupyter Notebooks, Opening a Notebook, and Setting the Kernel, Part 3.mp4 [67fafe4d42c66b85] 17,831,677 B44AB91E
2.Jupyter.Notebooks\473-5801-4 - Using and Evaluating Both Code and Markdown Cells, Part 1.mp4 [b63f59aff58c40de] 32,034,376 9ECFFAF1
2.Jupyter.Notebooks\473-5801-5 - Using and Evaluating Both Code and Markdown Cells, Part 2.mp4 [dbf5a4cb0c34fc04] 42,740,582 69AE29FF
3.panda.DataFrames.in.Jupyter.Notebooks\473-5802-1 - Creating a panda DataFrame and Examining Its Properties, Part 1.mp4 [ff0b1328e4891656] 44,851,534 8C64F93B
3.panda.DataFrames.in.Jupyter.Notebooks\473-5802-2 - Creating a panda DataFrame and Examining Its Properties, Part 2.mp4 [7c5ef188c88e1bed] 51,126,864 A7A17957
3.panda.DataFrames.in.Jupyter.Notebooks\473-5802-3 - Slicing and Other Operations on panda DataFrames, Part 1.mp4 [de6c0c03147d75a1] 40,733,085 042EC0D3
3.panda.DataFrames.in.Jupyter.Notebooks\473-5802-4 - Slicing and Other Operations on panda DataFrames, Part 2.mp4 [79530b41c3de0cbb] 33,401,277 5B1E0D89
3.panda.DataFrames.in.Jupyter.Notebooks\473-5802-5 - Slicing and Other Operations on panda DataFrames, Part 3.mp4 [205f3aa6191381fe] 47,302,000 1A8392D5
4.Working.with.Databases.Using.Python\473-5806-1 - PEP 249 and Python Database Packages.mp4 [f1c09b783a4353b8] 41,875,459 C20397BD
4.Working.with.Databases.Using.Python\473-5806-2 - Connecting to and Operations on a Database, Part 1.mp4 [3e10f98d6289b3d4] 38,788,740 9EB4149C
4.Working.with.Databases.Using.Python\473-5806-3 - Connecting to and Operations on a Database, Part 2.mp4 [134e3395f3fcd369] 70,965,862 35806F58
4.Working.with.Databases.Using.Python\473-5806-4 - Connecting to and Operations on a Database, Part 3.mp4 [9714ac1b8dde4ece] 12,058,989 AE9109CC
5.MongoDB.Package.pymongo\473-6171-1 - Using Python MongoDB Package - pymongo.mp4 [454d524d5cc6c031] 61,367,919 65B6F82F
6.Working.with.Data.Text.Files.Using.Python\473-5809-1 - What Are Delimited Data Files.mp4 [dbedb22b08a68f7e] 23,612,108 0EC7E8BE
6.Working.with.Data.Text.Files.Using.Python\473-5809-2 - Reading and Writing CSV Files as pandas DataFrames.mp4 [488dc826a72c2044] 28,820,767 A72C23D3
7.Excel.Data.Files\473-5811-1 - Using pandas DataFrames with Excel.mp4 [26699241253e9728] 48,393,500 0B9251CD
8.Creating.Reports.in.Jupyter.Notebook\473-5813-1 - Brief Overview of Adding LaTeX to a Report.mp4 [5c01b91bd19dda90] 33,579,415 0E954267
8.Creating.Reports.in.Jupyter.Notebook\473-5813-2 - Good Charting Practices and Review of a Complete Report.mp4 [2aa37c875f268b4a] 140,230,245 C2B50E25
9.Conclusion\473-5814-1 - What's Next.mp4 [93c25105e2d6bd9e] 26,211,666 ADD2A312
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2.Jupyter.Notebooks 0 00000000
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6.Working.with.Data.Text.Files.Using.Python 0 00000000
7.Excel.Data.Files 0 00000000
8.Creating.Reports.in.Jupyter.Notebook 0 00000000
9.Conclusion 0 00000000

Total size: 1,034,465,705
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