Every weekend we share a curated list of 15 cool things (mostly Python) that we found / tweeted throughout the week.
PyBites Twitter Digest – Issue 37, 2018
By PyBites Team on 2 December 2018
3 Cool Things You Can do With the dateutil Module
By Bob Belderbos on 30 November 2018
In this short article I will show you how to use dateutil’s parse, relativedelta and rrule to make it easier to work with datetimes in Python.
How to Test Your Django App with Selenium and pytest
By Bob Belderbos on 22 November 2018
In this article I will show you how to test a Django app with pytest and Selenium. We will test our CodeChalleng.es platform comparing the logged out homepage vs the logged in dashboard. We will navigate the DOM matching elements and more. Overall you should learn enough Selenium and pytest to start testing a web page including a login. Sounds exciting? Let’s dive straight in!
PyBites Twitter Digest – Issue 36, 2018
By PyBites Team on 18 November 2018
Every weekend we share a curated list of 15 cool things (mostly Python) that we found / tweeted throughout the week.
Automating PyBites Review Post Using Github API and collections.defaultdict
By Bob Belderbos on 13 November 2018
In this post I share a quick script I produced last week to automate a portion of our review post. There are some nice idioms that you might find useful.
Code Challenge 58 – Analyze Podcast Transcripts with NLTK – Part I
By PyBites Team on 9 November 2018
Hi Pythonistas, Welcome to Pybites Code Challenge 58! In this two part challenge we’re going to do some natural language processing on podcast transcript data. Prepare to have fun expanding your data science skills!
Code Challenge 57 – Analyze Olympic Games Data With Pandas – Review
By PyBites Team on 9 November 2018
In this article we review last week’s Analyze Olympic Games Data With Pandas code challenge.
PyBites Twitter Digest – Issue 35, 2018
By PyBites Team on 4 November 2018
Every weekend we share a curated list of 15 cool things (mostly Python) that we found / tweeted throughout the week.
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.
Code Challenge 56 – Calculate the Duration of a Directory of Audio Files – Review
By PyBites Team on 30 October 2018
In this article we review last week’s Calculate the Duration of a Directory of Audio Files code challenge.