Linux Academy Using Python for Data Management and Reporting-APoLLo

By Pacman On Apr 14, 2020

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

NFO (Click to Show)

  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

File List (Click to Show)

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)

Download Linux Academy Using Python for Data Management and Reporting-APoLLo ( Size: 986.58 MiB ) :

http://nitroflare.com/view/2A344B91765AF77/bcjcjLiAcUsPyfoDaMaanReAP.zip

http://rapidgator.net/file/6557dee1615e921580bef688e2f38ecd/bcjcjLiAcUsPyfoDaMaanReAP.zip.html

Apps-Tutorials