Udemy Python and ReportLab for Efficient Reporting and Automati

Udemy Python and ReportLab for Efficient Reporting and Automati
     Get Bonus Downloads Here.url -


     1. Introduction.mp4 -


     1.1 notes.pdf -


     2. Information on Resources.html -


     3. Virtual Environment Setup.mp4 -


     4. Installing Python Libraries.mp4 -


     4.1 requirements.txt -


     01-ReportLab-Groundwork.ipynb -


     02-Updating-the-Report.ipynb -


     03-Automation.ipynb -


     READ_ME.txt -


     cereal.csv -


     americanHFP.csv -


     generalMills.csv -


     kelloggs.csv -


     nabisco.csv -


     post.csv -


     quakerOats.csv -


     ralstonPurina.csv -


     python_logo_icon.png -


     notes.pdf -


     requirements.txt -


     1. Introduction.mp4 -


     1.1 01-ReportLab-Groundwork.ipynb -


     2. The Canvas Object of PDFgen.mp4 -


     3. ReportLab Anatomy - The Hierarchy of Document Building Blocks.mp4 -


     4. Building Documents with PLATYPUS - Create Your Own Page and Document Templates.mp4 -


     5. Include Data Visualizations in Your Reports with Figure to Image Conversion.mp4 -


     6. Add Tables to Your Report Easily with DataFrame to Table Conversion.mp4 -


     7. Styling Your Paragraphs and Tables with Dedicated Style Objects.mp4 -


     8. Overview.mp4 -


     1. Introduction.mp4 -


     10. Improving the Print in the PDF Document.mp4 -


     11. Overview.mp4 -


     2. The Cereal Dataset.mp4 -


     2.1 cereal.csv -


     3. Dataset Import.mp4 -


     4. Data Type Management with NumPy and alternatives with PyArrow.mp4 -


     5. Identifying and Handling Invalid Observations.mp4 -


     6. Equalizing Nutritional Values on the Basis of Weight.mp4 -


     7. Extending the Analysis with Nutritional Test.mp4 -


     8. Declaring Variable Units.mp4 -


     9. Auxiliary Tables.mp4 -


     1. Introduction.mp4 -


     2. The Matplotlib Figure Object.mp4 -


     3. Regular Pyplot Charts and the Pandas Plotting System.mp4 -


     4. Exporting Results of Custom Data Visualization Functions.mp4 -


     5. Including a Subplot Grid in a Report.mp4 -


     6. Various Types of Plots Created with Seaborn - Plot Matrix and Facet Grid Plot.mp4 -


     7. Overview.mp4 -


     1. Introduction.mp4 -


     1.1 02-Updating-the-Report.ipynb -


     2. Introducing Additional Page Templates.mp4 -


     3. Updating Flowable Style Objects.mp4 -


     4. Reorganizing Data Tables and Paragraphs.mp4 -


     5. Handling Multiple Data Visualizations in a Single Document.mp4 -


     6. Pre-Defined Layouts with the Help of Container Tables.mp4 -


     7. Building the PLATYPUS Story.mp4 -


     1. Why You Should Consider Automating the Process.mp4 -


     1.1 03-Automation.ipynb -


     1.2 americanHFP.csv -


     1.3 generalMills.csv -


     1.4 kelloggs.csv -


     1.5 nabisco.csv -


     1.6 post.csv -


     1.7 quakerOats.csv -


     1.8 ralstonPurina.csv -


     2. Building the Automation.mp4 -


     3. Farewell.mp4 -


     Bonus Resources.txt -

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