This article was written by Yhat.

Introduction

One of my favorite things about Python is that users get the benefit of observing the R community and then emulating the best parts of it. I'm a big believer that a language is only as helpful as its libraries and tools.

This post is about pandasql , a Python package we (Yhat) wrote that emulates the R package sqldf . It's a small but mighty library comprised of just 358 lines of code. The idea of pandasql is to make Python speak SQL. For those of you who come from a SQL-first background or still "think in SQL", pandasql is a nice way to take advantage of the strengths of both languages.

In this introduction, we'll show you to get up and running with pandasql inside of Rodeo, the integrated development environment (IDE) we built for data exploration and analysis. Rodeo is an open source and completely free tool. If you're an R user, its a comparable tool with a similar feel to RStudio. As of today, Rodeo can only run Python code, but last week we addedsyntax highlighting for a bunch of other languages to the editor (markdown, JSON, julia, SQL, markdown). As you may have read or guessed, we've got big plans for Rodeo, including adding SQL support so that you can run your SQL queries right inside of Rodeo, even without our handy little pandasql . More on that in the next week or two!

What you will find in this article:

Downloading Rodeo

A bit of background, if you're curious

Install pandasql

Check out the datasets

An odd graph

It's just SQL

Final thoughts

To check out all this information, click here.

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