The document discusses the diverse applications of Python, highlighting its use by data scientists, web developers, and researchers, among others. It emphasizes the importance of documentation, code commenting, and handling exceptions while coding. Additionally, it advises against excessive reliance on Python for algorithmic coding and mobile app development due to potential issues with problem-solving skills and scalability.

1. The Python outside of your
textbook

2. Chetan Deshpande
Senior Engineer II at CommVault
cdeshpande@commvault.com

3. Aniket Prabhu
Software Engineer at CommVault
B.E. Graduate from PESIT (PES University)
aprabhu@Commvault.com
@iamthemananiket
github.com/iamthemananiket
linkedin.com/in/aniketprabhu95/

6. Let’s figure out how much of Python you
already know

7. Who choses Python?
• Data scientists and researchers for analytics
• Automator
• Web developers
• Hackers
• IoT

8. First and foremost - IDE

9. Mathematicians and Scientists
import math
import numpy
import sklearn

10. Minification
#a) Given a list of strings, remove all strings having first c
haracter as digit
#b) Given a list of strings, remove all strings having first c
haracter as digit

11. APIs
Use your phones to find out the
latitude and longitude of RV
College of Engineering

12. You’ll always find it on pip
pip install …

13. While you pip, make sure you pep8

14. # Comments all over

15. Document your code to the fullest

16. No coder can proceed without handling
exceptions

17. Should I use Python all the while?
• Excessive usage of Python can deteriorate your problem solving skills.
• Avoid scripting languages while writing algorithmic code.
• In mobile app development.
• If you want your service to be extremely quick.
• When scalability is massive.

18. You can use Python for free!
So try as much to open source your code! 

19. Thanks!
Share your feedback/questions/suggestions!