Tag: pandas

100 Python pandas tips and tricks

100 Python pandas tips and tricks

Working with Python’s pandas library often?

This resource will be worth its length in gold!

Kevin Markham shares his tips and tricks for the most common data handling tasks on twitter. He compiled the top 100 in this one amazing overview page. Find the hyperlinks to specific sections below!

Quicklinks to categories

Kevin even made a video demonstrating his 25 most useful tricks:

Python for R users

Python for R users

Wanting to broaden your scope and learn a new programming language? This great workshop was given at EARL 2018 by Mango Solutions and helps R programmers transition into Python building on their existing R knowledge. The workshop includes exercises that introduce you to the key concepts of Python and some of its most powerful packages for data science, including numpy, pandas, sklearn, and seaborn.

Have a look at the associated workshop guide that walk you through the assignments, or at the github repo with all materials in Jupyter notebooks.

Python resources (free courses, books, & cheat sheets)

Python resources (free courses, books, & cheat sheets)

Find more comprehensive Python repositories:
Vinta’s awesome Python Github repository, the easy Python docs, the Python Wiki Beginners Guide, or CourseDuck’s overview of free Python courses!

My list of Python resources is still quite short so if you have additions, please comment below or contact me! There are separate overviews for Data Science, Machine Learning, & Statistics resources in general, and for R resources and SQL resources in specific.

LAST UPDATED: 11-11-2018

Cheat sheets: