Speaker: Andrii Zablodskyi Genre & level: Backend, Medior Ever needed to gain insights from a running system or a systems set to fix an issue? Well fear no more! Because Jupyter, Pandas library and friends can give you insight on data taken from almost any source. And the best of it all: no need to bootstrap a new service or to deploy.

1. Jupyter and Pandas to the rescue!
Andrii Zablodskyi
1

2. Software engineer
Who am I?
Software Engineer,
Team 5F -> Team 5G -> Team 15C -> Team 1S
Mainly programming in Java and Golang

3. 3
Story 1.
10€
Day 1 Day 2 Day 3
20€ 50€
+50€

4. It was Black Friday…
4
Story 1
… before Black Monday.

5. Story 1
5
Negative bookings and invoices

6. •Found a problem
•Created a plan including data
revert and recovery
•Checked on TST and ACC
•Applied on PRO
•How can we make sure that
problem is totally gone?
Fixing and verification
6
Story 1

7. What do they do?
Jupyter, Pandas, Plotly and Anaconda.
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The Jupyter Notebook is an open-source web application that
allows you to create and share documents that contain live
code, equations, visualizations and narrative text.
Pandas is an open source, BSD-licensed library providing
high-performance, easy-to-use data structures and data
analysis tools for the Python programming language.
Plotly's Python graphing library makes interactive,
publication-quality graphs online.
Anaconda is a software to manage them all.

8. What about the real life?
Algorithm of actions
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o Fetch your data from SQL DB, Mongo, Web, files,
what nots. Use Pandas or an extra library.
o Implement the logic to arrange you data and create
a Pandas DataFrame.
o Utilize the previously formed DataFrame as a
source for your output. Use Pandas and Plotly.

9. Back to Black Friday
Fetching data
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Setup a connection to Mongo
Parameters
Fetch data into collection

10. Back to Black Friday
Do an arrangement and form Pandas DataFrame
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Arrange your data
Form Pandas DataFrame

11. Back to Black Friday
11

12. More insights!
Let’s build some diagrams.
12

13. Story 2
Help with the testing. During the testing we are:
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o Creating, activating and cancelling contracts
o Triggering bookings
o Triggering changes to VA tracking tables
o Generating invoices
o Modeling inbound flows like received goods or
shop orders/shipments
o Other tricky action goes here

14. Story 2
How to get insights from the system after changes are done?
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Arrange your data
Form Pandas DataFrame
Display the result

15. Story 2
Retrieve all the information in one shot
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16. At the end of the day
What is takeaway?
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Jupiter, Pandas and
Plotly are a powerful
tools for any data
and any data source.
Easy to learn, ”zero”
configuration,
instant results.
Try it!

17. Andrii Zablodskyi
Senior Software Engineer, Team 1S
anzablodskyi@bol.com
Thanks!
till next bol.com