August Meetup

## Schedule

• Moving towards GraphQL - a powerful way to query your database
  (20 min)
• Python in Big Data and Azure Jupyter Notebooks (20 min)
• Networking Tea Break (30 min)
• Professional Python Best Practices (20 min)
• Lightning Talks (20 min)

## Python in Big data and Azure Jupyter notebooks

Speaker: Dinesh

• Presentation (10 min)

• About Azure NoteBooks and sample projects in Azure NoteBooks.
• Libraries mostly used in data science. (big data, ETL, ML, ..)

• Demo (10 min)

• Workout a notebook with pandas library. Library shared – Login with any Microsoft account like Hotmail - https://notebooks.azure.com/dinesarun/libraries/datascience
• WordCount sample using ‘pySpark’ library over a Hadoop cluster.

## Moving towards GraphQL - a powerful way to query your database

Speaker: Karthikeya, from Hasura Engineering Team.

1. Introduction to GraphQL
2. GraphQL vs. REST APIs
3. Tooling Ecosystem around GraphQL for popular DBs
4. Hands-on Demo: Setting up instant GraphQL APIs on existing Postgres applications using the OSS Hasura GraphQL Engine.

## Professional Python Best Practices

Speaker: Poruri Sai Rahul

From the point before you write a single line of Python code to the point where you deliver the Project, there are a number of guidelines/best practices that the Python community follows. These guidelines are meant to make the code more readable and maintainable.

For example, I'll be talking about the use of virtualenvs before starting to write Python code to using PyPI to deploy your code.

## Speak at Chennaipy

If you are interested in doing a talk, please add a comment to this event page, with your talk title and talk description.