Description:

What are the best libraries to use for different tasks in 2023? This talk explores...

• Should we stick with requests or migrate to httpx?
• What's the best data visualization library in Python -- for beginners vs experts?
• Is {Pandas](https://pypi.org/project/pandas/) still the best library for data analysis?
• How do we pick between FastAPI and StreamLit vs stalwarts like Django and Tornado?
• Is there any rival to pytest as a testing framework or ]SQLAlchemy](https://pypi.org/project/sqlalchemy/) to access databases?
• Should I prefer JSON or YAML or TOML for configurations? Why?
• ... and more.

This talk shares a matrix, like Thoughtworks' Radar, positioning libraries (in a partly objective partly opinionated way) based on their usefulness and competitiveness in 2023.

Prerequisites:

A working knowledge of Python.

Speaker Info:

Anand is a co-founder of Gramener, a data science company. He leads a team that automates insights from data and narrates these as visual data stories. He is recognized as one of India's top 10 data scientists and is a regular TEDx speaker.

Anand is a gold medalist at IIM Bangalore and an alumnus of IIT Madras, London Business School, IBM, Infosys, Lehman Brothers, and BCG.

More importantly, he has hand-transcribed every Calvin & Hobbes strip ever and dreams of watching every film on the IMDb Top 250 (except The Shining).

He blogs at https://s-anand.net. His talks are at https://bit.ly/anandtalks

Speaker Links:

• Talks: https://s-anand.net/blog/talks/
• Github: https://github.com/sanand0