Data Science & Web Development with a Civic Focus
Setting up Before my most recent project, I had already recently updated datalab. However, this is a sequence you'll need to run through if you are new to datalab or have been away for a while. (Source: datalab quickstart <- I recommend running through their checklist directly if you're new to the GCP SDK) In the … Continue reading Running Concurrent Jupyter Notebooks
I solemnly swear that I am up to social good. At the most recent Cleveland PyLadies meetup, I vowed to learn about web scraping for data science. Though web scraping can be a controversial subject because of the potential for privacy invasion, intellectual property infringement, or other nefarious activities, I do feel that there are … Continue reading Scrapy on the Fly
One of the highlights of getting involved in the Python community has been the enthusiasm and sheer joy in the room at gatherings. While I was looking forward to PyOhio, a free conference held in Columbus last week, I did not know what to expect. Would the talks be over my head? How crowded or … Continue reading PyOhio 2018
It turns out ArcGIS (a GIS package for Python) is $100 a year just for personal use - even for the Online Viewer subscription. Hard pass, thankyouverymuch. You can make a free profile to use their Online map creation service, however you are limited to available layers or must use their paid (or an open-source) … Continue reading ArcGIS Online – What Can You Do With a Free Profile?
I made a lot of mistakes in my first tech pitch, but I wouldn't change much looking back. The lessons I've learned have been invaluable. Most of these insights will help me improve for the next time I pitch this or another project, but the one thing I did right and will definitely do again … Continue reading Learning from My First Tech Pitch: The One Thing I Did Right