September Meetup

Schedule

• Flask Web Sockets and Real-time Chat Metrics using d3 (20 min)

• Sentiment analysis with Python (20 min)

• Networking Tea Break by Square Brothers (http://www.squarebrothers.com/) (30 min)

• Measuring Cyclomatic complexity in Python (20 min)

• Lightning Talks (20 min)

• Discussions (20 min)

Flask Web Sockets and Real-time Chat Metrics using d3

Speaker: Hafizul Azeez

In this talk, I would be covering how to build a simple chat app using flask socket io, client and server generated events, simple chat metrics and how to visualize the metrics in real time using D3 js.

Sentiment analysis with Python

Speaker: Manish

The talk will deal with basic concepts of sentiment analysis, applications of sentiment analysis and writing a sentiment analyzer with python.

Measuring Cyclomatic complexity in Python

Speaker: Ashok

A brief intro to cyclomatic complexity. This is a topic related to Python code quality. Cyclomatic Complexity is basically the measure of how complicated a unit of code is - it counts all the independent paths through a unit of code to produce a unique score. Obviously a function that has a very high cyclomatic complexity score (say 100) needs to be refactored.

Some basic reference material that would be useful to attend this talk:

1. What is cyclomatic complexity: http://www.tutorialspoint.com/software_testing_dictionary/cyclomatic_complexity.htm

2. Example for cyclomatic complexity http://blog.codeclimate.com/blog/2013/12/12/the-roots-of-static-analysis/