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Code Challenge 57 - Analyze Olympic Games Data With Pandas - Review

Posted by PyBites on Fri 09 November 2018 in Challenges • Tagged with code challenge, challenges, Kaggle, Pandas, Olympic Games, matplotlib, Anaconda, Jupyter, csv, Seaborn, Plotly, statistics, SequenceMatcher, Counter, API, IP address, database, JSON, reddit, PRAW, PyQt5, GUI, git • 2 min read

In this article we review last week's Analyze Olympic Games Data With Pandas code challenge.


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Code Challenge 57 - Analyze Olympic Games Data With Pandas

Posted by Andrea Mammoliti on Tue 30 October 2018 in Challenge • Tagged with code challenge, challenges, Kaggle, Pandas, Olympic Games, matplotlib, Anaconda, Jupyter, csv, Seaborn, Plotly, statistics • 2 min read

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.


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Data Analysis of Pybites Community Branch Activity

Posted by Martin Uribe on Thu 18 October 2018 in Data • Tagged with data analysis, community, matplotlib, seaborn, dateutil, pathlib, collections, json, code challenges, numpy, pandas, requests • 15 min read

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).


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Code Challenge 41-44 Review - APIs, Regex, Chatbots and Marvel Data Analysis

Posted by PyBites on Sun 10 December 2017 in Challenges • Tagged with Daily Python Tip, regex, bot, chatbot, Marvel, Pandas, Seaborn, data, Python Alicante, live coding, Bokeh • 2 min read

In this article we review last week's Daily Python Tip Part 1 - Make a Web App code challenge.


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Using Pandas and Seaborn to solve PyBites Marvel Challenge

Posted by Martin Smith on Thu 07 December 2017 in Data • Tagged with Pandas, Seaborn, data analysis, Marvel, Comicsm, challenge, guest • 18 min read

Today we have Martin Smith show us how he used Pandas and Seaborn to solve our Marvel Comics Challenge. Take it away Martin!


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