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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 53 - Query the Spotify API - Review

Posted by PyBites on Tue 09 October 2018 in Challenges • Tagged with Spotify, music, API, Bokeh, Flask, readlines, itertools, Google, difflib, visualization, data analysis, regex, Counter, web scraping, Selenium, email • 3 min read

In this article we review last week's Query the Spotify API code challenge.


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Code Challenge 51 - Analyse NBA Data with SQL/sqlite3 - Review

Posted by PyBites on Mon 24 September 2018 in Challenges • Tagged with sqlite3, SQL, data analysis, data, NBA • 1 min read

In this article we review last week's Analyse NBA Data with SQL/sqlite3 code challenge.


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Code Challenge 51 - Analyse NBA Data with SQL/sqlite3

Posted by PyBites on Mon 17 September 2018 in Challenge • Tagged with sqlite3, SQL, data analysis, data, NBA • 2 min read

Hi Pythonistas, Welcome to Pybites Code Challenge 51! In this challenge we get you analysing NBA player data from a CSV file.


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Code Challenge 47 - PyBites First Year in Data (Special)

Posted by PyBites on Fri 22 December 2017 in Challenge • Tagged with data analysis, data visualization, anniversary, special, Twitter, Github, Pelican • 3 min read

Hi Pythonistas, can you believe it’s been a full year of PyBites already?! To commemorate our 1st birthday we figured the next challenge should be around… us!


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Twitter Digest 2017 Week 49

Posted by PyBites on Sun 10 December 2017 in Digest • Tagged with twitter, news, tips, python, data visualisation, code, Pandas, classes, PIL, date time, Bitcoin, data analysis, Jupyter, gitpython, Pytorch, data structures, strings, Itertools • 2 min read

Every weekend we share a curated list of 15 cool things (mostly Python) that we found / tweeted throughout the week.


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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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Twitter Digest 2017 Week 46

Posted by PyBites on Sun 19 November 2017 in Digest • Tagged with twitter, news, tips, python, Raspberry Pi, OpenCV, TensorFlow, challenge, Cython, Docker, Jupyter, nglview, data science, regex, Flask, book, Twilio, Node, Javascript, data analysis, NumPy, cryptocurrency • 2 min read

Every weekend we share a curated list of 15 cool things (mostly Python) that we found / tweeted throughout the week.


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Code Challenge 44 - Marvel Data Analysis (Alicante PyChallengeDay)

Posted by PyBites on Fri 10 November 2017 in Challenge • Tagged with marvel, data, data analysis, csv, collections, namedtuple, Counter, Live Challenge, Python Alicante, Bokeh, coffee • 3 min read

Hi Pythonistas, this is a very special edition! Today, the 10th of November, we launch our first Live Code Challenge. We partnered up with Python Alicante and we will be hosting this code challenge with them at the University of Alicante. If you don't happen to live in Alicante but do want to code today 10am-13pm CET you are more than welcome to join this Gitter channel.


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Twitter digest 2017 week 34

Posted by PyBites on Sun 27 August 2017 in Digest • Tagged with twitter, news, tips, python, pybites, APIs, regex, Jupyter, OpenCV, Pillow, SunPy, collections, open source, training, learning, CSV, Data Analysis, Python, Podcast, Spacing • 2 min read

Every weekend we share a curated list of 15 cool things (mostly Python) that we found / tweeted throughout the week.


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