Selected Talks

What makes a good API for a library? Or more importantly, what makes it bad? This talk discusses the principles of what goes into user-centered design, and how best to apply those principles when writing a Python library for fellow developers.

At Spotify, we’re trying to address scaling DSP over our catalog of over 50 million songs. This talk will discuss the challenges we’ve encountered while building the infrastructure needed to support signal processing at scale.

Everyone’s talking about it. Everyone’s using it. But most likely, they’re doing it wrong, just like we did.

A deep walkthrough of various types of tracing a web service, and how to incorporate tracing yourself.

How Spotify has designed and manages our own DNS infrastructure, our curious ways in which we use DNS, and the future of boring technology at Spotify.

A brief history of signal intelligence around the world, where we are today, and how you can do it with Python.

The current problem space that both community members and companies have for using & supporting FOSS, and some arguments & solutions to help increase your company’s engagement with the community.

We’ve made large strides to welcome more diverse people into the Python community. You see better gender ratios in attendance numbers at Python conferences, the billed speakers, the amount of women-centric programs. We can see the benefits of outreach. But we’re not done yet.

In the company of Tracy Osborn and Naomi Ceder, we discuss with the hosts at Podcast. _ _init _ _ the current status of the diversity initiatives within the Python community and our involvement.

In chatting with host Michael Kennedy, we talk about how Python is used at Spotify, my role in the PSF as a Python Software Foundation board member, how I became the founder of PyLadies San Francisco, some of my talks and presentations, as well as shamelessly self-promoting some of the open source work I’m doing.

How Spotify used Python back in the early days.

You’ve deployed! But your friends can’t see it - what’s wrong? I’m betting DNS. Maybe you’ve fixed a couple of entries, point some records to hostnames, waited patiently for new domains to resolve only to notice your nameservers are incorrect. But what actually goes on with DNS? Come to this talk to find out how DNS works, and how to interact and create a DNS with Python.

In a selfish effort to further my understanding, I am here to coach you with 5 “swim lessons”: I’ve written five tutorials for the new swimmer coder. These are meant to build on each other and thread that “concepts for context” for the new guppy in the water, but also be digestible and not overwhelming.

How I increased women’s engagement in the Python community though demonstrating how versatile the language is with practical projects, by creating a safe space for women to learn and to fail, and by encouraging involvement beyond the classroom.