In this article we review last week’s Analyze Olympic Games Data With Pandas code challenge.
Articles on Seaborn
Code Challenge 57 – Analyze Olympic Games Data With Pandas
By Andrea Mammoliti on 30 October 2018
Hey Pythonistas, a new week, a new Python code challenge! This week you can use Python, Pandas and all the libraries you need to analyze the data of Olympic Games and find out interesting things and present them to everyone with Matpolib, Seaborn and/or Plotly.
Data Analysis of Pybites Community Branch Activity
By Martin Uribe on 18 October 2018
I wanted to play around with a dataset and see what I could find out about it. I decided on analyzing the little bit of data that I could collect from Github without having to use an OAuth key, which limits it to just 300 events. If you want to follow along with my notebook check out the instructions here. This notebook was my submission for Code Challenge 47 – PyBites First Year in Data (Special).
Code Challenge 41-44 Review – APIs, Regex, Chatbots and Marvel Data Analysis
By PyBites Team on 10 December 2017
In this article we review last week’s Daily Python Tip Part 1 – Make a Web App code challenge.
Using Pandas and Seaborn to solve PyBites Marvel Challenge
By Martin Smith on 7 December 2017
Today we have Martin Smith show us how he used Pandas and Seaborn to solve our Marvel Comics Challenge. Take it away Martin!