This document provides an introduction to data visualization using Python libraries like Pandas, Seaborn, NumPy, and SciPy. It begins with an about section for the author and then discusses data and visualization. Several Python libraries for visualization are introduced, including Pandas, Matplotlib, Seaborn, and examples are shown for each. The document concludes by asking for any other questions.

1. Data Visulalization Using PYTHON
[Pandas, Seaborn, NumPy, SciPy]

2. About Me
● Aniket Maithani
● Final Year Engg. Student
● ASET, AMITY UNIVERSITY [ NOIDA ]
● #Drupal #Python #Embedded #Blog #Web
● @2aniketmaithani
● www.aniketmaithani.net

3. Data???

4. In Simple Terms....
● Raw Facts
● SOMETHING SOMETHING...
● SOMETHING 2
● SOMETHING 3
● SOMETHING 4
● Etc.

5. Further......

7. Visualization??
● BEFORE WE PROCEED..... TELL ME...
- WHAT IS
VISUALISATION/VISUALIZATION?

8. ● Visualization or visualisation is any technique
for creating images, diagrams, or animations
to communicate a message.
● Visualisation are more intuituve
● Appealing
● Easy to Understand [ Graphs, Line Charts etc.
]

9. Let's DIVE INTO VISUALIZATIONS
THE 'PYTHON' WAY

10. Pandas

11. DEMO

12. FASCINATING EH....??
● HOW ABOUT “MATPLOTLIB”

13. MATPLOTLIB
● matplotlib is a python 2D plotting library which
produces publication quality figures in a variety
of hardcopy formats and interactive
environments.

14. DEMO

15. I want some dynamic visualisation
● Let's take an example. Suppose I have a
“DATA FEED” coming in from a DEVICE, USB
for instance.
● Now I want to plot/visualise the readings.
● How Will I do that???

17. DEMO
● LET'S HAVE A MIX..'MATPLOLIB' AND
'SCIPY' .......................

18. Hmm Anything Else????
● OH YES!!!! SSSSHHHH........... KOI HAI

19. Seaborn
● Seaborn is a Python visualization library based
on matplotlib. It provides a high-level interface
for drawing attractive statistical graphics.

20. DEMO TIME ONCE AGAIN ....

21. ALL – IN – ONE – DEMO CASE
● Taking live feed from temperature sensor +
Arduino
● Dynamic Visualisation
● Analysis
● FUN!!

22. DID I MISS SOMETHING..??
● QUESTIONS?
● FEEDBACK
● ABUSES :P

23. THAT'S ALL FOLKS