The American Public Power Association collects data about electric utilities but saw increased delays in report generation as subscriber counts rose. In 2021, an analyst used Python with statistics, Matplotlib and seaborn libraries to compute the data, allowing easy modification of PDF reports for data changes and taking advantage of Python's open source packages. Using Python made generating reports easier for both technical and non-technical staff.

1. Python in Public Association

2. American Public Power Association
(APPA)
• It’s association which works in
electricity industry.
• Association carries out survey and
collects data about electric utility.

3. Challenges
• Over the period subscriber count got increased.
• Eventually process of making reports and charts got
delayed due to overload.
• Which further results in delay of inter- departmental
review process.

4. Thinking Out of the box
• In 2021, an analyst decided to use the python
for computing data.
• She computed data with help of statistics,
Matplotlib and seaborn.

5. Outcomes
• Easy to modify the custom PDF for underlying changes in
data.
• Advantage of the rich library of free and open source
computational and visualization packages.
• All the report sections are deployed to compute internally.
• Tasks became easier for non technical guy also.

6. Thank You