Linux Academy Using Python for Data Management and Reporting-APoLLo | Apps-Tutorials | MP4 | 986.58 MiB
1 186 kb/s 1920×1080 | AAC 160 kb/s 2 CH
RELEASE Linux.Academy.Using.Python.for.Data.Management.and.Reporting-APoLLo URL www.linuxacademy.com SOURCE Linux Academy UPDATED DATE 3/13/2020 ex.FiLES No GROUP NOTES xS2k19
28M 1.Course.Introduction 20M 1.Course.Introduction/473-5787-1 - About This Course.mp4 8.6M 1.Course.Introduction/473-5787-2 - About the Author.mp4 250M 2.Jupyter.Notebooks 33M 2.Jupyter.Notebooks/473-5801-1 - Installing Jupyter Notebooks, Opening a Notebook, and Setting the Kernel, Part 1.mp4 130M 2.Jupyter.Notebooks/473-5801-2 - Installing Jupyter Notebooks, Opening a Notebook, and Setting the Kernel, Part 2.mp4 18M 2.Jupyter.Notebooks/473-5801-3 - Installing Jupyter Notebooks, Opening a Notebook, and Setting the Kernel, Part 3.mp4 31M 2.Jupyter.Notebooks/473-5801-4 - Using and Evaluating Both Code and Markdown Cells, Part 1.mp4 41M 2.Jupyter.Notebooks/473-5801-5 - Using and Evaluating Both Code and Markdown Cells, Part 2.mp4 208M 3.panda.DataFrames.in.Jupyter.Notebooks 43M 3.panda.DataFrames.in.Jupyter.Notebooks/473-5802-1 - Creating a panda DataFrame and Examining Its Properties, Part 1.mp4 49M 3.panda.DataFrames.in.Jupyter.Notebooks/473-5802-2 - Creating a panda DataFrame and Examining Its Properties, Part 2.mp4 39M 3.panda.DataFrames.in.Jupyter.Notebooks/473-5802-3 - Slicing and Other Operations on panda DataFrames, Part 1.mp4 32M 3.panda.DataFrames.in.Jupyter.Notebooks/473-5802-4 - Slicing and Other Operations on panda DataFrames, Part 2.mp4 46M 3.panda.DataFrames.in.Jupyter.Notebooks/473-5802-5 - Slicing and Other Operations on panda DataFrames, Part 3.mp4 157M 4.Working.with.Databases.Using.Python 40M 4.Working.with.Databases.Using.Python/473-5806-1 - PEP 249 and Python Database Packages.mp4 37M 4.Working.with.Databases.Using.Python/473-5806-2 - Connecting to and Operations on a Database, Part 1.mp4 68M 4.Working.with.Databases.Using.Python/473-5806-3 - Connecting to and Operations on a Database, Part 2.mp4 12M 4.Working.with.Databases.Using.Python/473-5806-4 - Connecting to and Operations on a Database, Part 3.mp4 59M 5.MongoDB.Package.pymongo 59M 5.MongoDB.Package.pymongo/473-6171-1 - Using Python MongoDB Package - pymongo.mp4 51M 6.Working.with.Data.Text.Files.Using.Python 23M 6.Working.with.Data.Text.Files.Using.Python/473-5809-1 - What Are Delimited Data Files.mp4 28M 6.Working.with.Data.Text.Files.Using.Python/473-5809-2 - Reading and Writing CSV Files as pandas DataFrames.mp4 47M 7.Excel.Data.Files 47M 7.Excel.Data.Files/473-5811-1 - Using pandas DataFrames with Excel.mp4 166M 8.Creating.Reports.in.Jupyter.Notebook 33M 8.Creating.Reports.in.Jupyter.Notebook/473-5813-1 - Brief Overview of Adding LaTeX to a Report.mp4 134M 8.Creating.Reports.in.Jupyter.Notebook/473-5813-2 - Good Charting Practices and Review of a Complete Report.mp4 26M 9.Conclusion 25M 9.Conclusion/473-5814-1 - What's Next.mp4 987M total
File: 473-5787-1 - About This Course.mp4 Size: 20060330 bytes (19.13 MiB), duration: 00:02:15, avg.bitrate: 1189 kb/s Audio: aac, 44100 Hz, stereo (und) Video: h264, yuv420p, 1920x1080, 30.00 fps(r) (und)
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