Posts about pandas

In this post I wanted to document the steps I took to deploy a Flask app to AWS Lambda using Zappa. Configuring everything properly in AWS was the most complicated part, so I hope this post can help other AWS noobs who might be struggling!

An arc diagram is a type of network graph where the nodes lie along one axis, with arcs connecting them. This post is part one of two, where we will prepare the data to visualize pickup and dropoff locations for ride hailing app rides in NYC.

Time series data is all the rage these days, and not just in fields like finance. In this post we will look at working with time series data in Pandas, how to do basic time-based manipulations and calculations such as rolling means and data shifting.

Feature Engineering is an important skill in data science, and is the process of taking raw data and turning it into features that can be used as inputs for training machine learning algorithms. We will look at 311 noise complaints data in this post.

Cleaning up dirty, corrupted data with Python and Pandas. Dirty, corrupted data leads to dirty and corrupt analysis and conclusions. Who wants that? In this post we will go through a cleaning checklist with Pandas and a dataset from NYC Open Data.