Python

We’ve published summaries of our most popular blog posts before (see Top 19 of 2019 and Top 18 of 2018), but this time, we’re taking it a step further. We’re sharing the 20 most popular posts in 2020, regardless of the year the post was originally published. And some of these have been around a while! Based on total pageviews, here are the blogs that rose to the top of the popularity list, from most viewed to least viewed.

I keep up with what's happening in my field by following a number of blogs and an occasional email list. I don't read everything posted in all of these, but by scanning the topics in a feed reader, I can keep up with what's going on, without wasting a lot of time.

Last August, our CTO Colin Copeland wrote about how to import multiple Excel files in your Django project using pandas. We have used pandas on multiple Python-based projects at Caktus and are adopting it more widely.

In my previous line of work as an archivist, the question of what to do about email archives was an ongoing and deeply-considered topic. Email is everywhere. Yes, even Gen Z and millennials use it, despite thousands of think pieces that would have you believe that the old ways are giving way to business meetings conducted on fixed-gear bicycles, over avocado toast and Instagram.

During the last year we gave our popular technical blog an official name: Developer Access. We published 32 posts on the blog, including technical how-to’s, conference information, web development best practices and detailed guides. Among all those posts, 19 rose to the top of the popularity list (based on total pageviews):

These days it’s easy to get swept up into the buzz around Python’s strengths as a data science package, but Python is also great for the more mundane, business process side of computing. One of the most important business processes is generating reports, and the most used and venerable form of report is the PDF. Python has a great library for generating and manipulating PDFs: ReportLab. I recently read more about this extremely useful library in ReportLab: PDF Processing with Python, by Michael Driscoll. With a few caveats, it’s an excellent resource.

I enjoyed working through the book Creating GUI Applications with wxPython by Michael Driscoll, learning various techniques for programming GUI applications in Python using wxPython.

For many years, we've been running an ELK (Elasticsearch, Logstash, Kibana) stack for centralized logging. We have a specific project that requires on-premise infrastructure, so sending logs off-site to a hosted solution was not an option. Over time, however, the maintenance requirements of this self-maintained ELK stack were staggering. Filebeat, for example, filled up all the disks on all the servers in a matter of hours, not once, but twice (and for different reasons) when it could not reach its Logstash/Elasticsearch endpoint. Metricbeat suffered from a similar issue: It used far too much disk space relative to the value provided in its Elasticsearch indices. And while provisioning a self-hosted ELK stack has gotten easier over the years, it's still a lengthy process, which requires extra care anytime an upgrade is needed. Are these problems solvable? Yes. But for our needs, a simpler solution was needed.

Above: A view of the busy exhibit hall. Photo copyright © 2019 by Sean Harrison. All rights reserved.

PyCon 2019 attracted 3,393 attendees, including a group of six Cakti. When we weren’t networking with attendees at our booth, we attended some fascinating presentations. Below are some of our favorites. You can watch these talks and more on the PyCon 2019 YouTube channel.

Pictured: I traveled to Cleveland, OH, for PyCon 2019, where I got this shot of the city skyline.

This year I attended PyCon for the first time. It’s rather amazing that I haven’t been before, since I’ve been using Python professionally for over 15 years. PyCon 2019 was held in Cleveland from May 1–9. There was so much to take in, and there are so many good things to say about it. It was a fantastic experience. But rather than provide a “mission report: 2019” a la Winter Soldier, I thought I’d do something more useful — write a guide to PyCon from a newbie perspective. Here are six lessons I learned from my first PyCon.