Lauren Tan joined us to talk about her blog post titled “Does it spark joy?” In this post Lauren shared the news of her resignation as an engineering manager at Netflix to return to being a software engineer. We examine the career trajectory of a software engineer and the seemingly inevitable draw to management for continued career growth. The idea of understanding “What are you optimizing for?” and whether or not what you’re doing truly brings you joy.

This is THE podcast for diverse discussions from around the Go community.

Go Time’s panel hosts special guests like Kelsey Hightower… (clip from episode #114)

picks the brains of the Go team at Google… (clip from episode #100)

shares their expertise from years in the industry (clip from episode #102)

and has an absolute laugh riot along the way… (clip from episode #110)

It is Go Time! Please listen to a recent episode that interests you and subscribe today. We’d love to have you with us.

In the wake of the coronavirus outbreak being declared a global pandemic and a national emergency here in the United States as well as many other countries around the world, it would be extremely difficult to have a serious conversation here on Brain Science that’s not colored by today’s very serious events. Mireille and Adam discuss the anxiety, fear, and panic that many may be facing. How do we navigate the unseeable unknown? How should we respond to change and the state of the world we are now living in?

Don’t panic. Prepare for change. Be adaptable. Be resilient.

Emily Robinson, co-author of the book Build a Career in Data Science, gives us the inside scoop about optimizing the data science job search. From creating one’s resume, cover letter, and portfolio to knowing how to recognize the right job at a fair compensation rate.

Emily’s expert guidance takes us from the beginning of the process to conclusion, including being successful during your early days in that fantastic new data science position.

We sit down with Tobias Koppers of webpack fame to talk about his life as a full-time maintainer of one of the most highly used (4 million+ dependent repos!) and influential tools in all of the web.

Things we ask Tobias include: how he got here, how he pays himself, has he ever gotten a raise, what his typical day is like, how he decides what to work on, if he pays attention to the competition, and if he’s ever suffered from burnout.

This week we’re talking about building technical courses! From video courses to written courses, we’ll give you our tips for building an effective and memorable course.

Johnny and John welcome Thorsten Ball back to the show. This time we’re talking power tools! Editors, operating systems, containers, cloud providers, databases, and more. You name it, we probably talk about.

We partnered with Red Hat to promote Season 4 of Command Line Heroes — a podcast about the people who transform technology from the command line up. Season 4 is all about hardware that changed the game. We’re featuring episode 3 from season 4 — called “Personal Computers: The Altair 8800 and the Dawn of a Revolution.” This is the story of personal computers and the revolution that took place in the PC era.

Learn more and subscribe at redhat.com/commandlineheroes.

Matthew Hodgson (technical co-founder) joined us to talk about Matrix - an open source project and open standard for secure, decentralized, real-time communication. It’s open source, it’s decentralized, it’s end-to-end-encrypted, and it’s also self-sovereign. Matrix also provides a bridge feature to bridge existing platforms and communication silos into a global open matrix of communication. A recent big win for Matrix was Mozilla’s announcement of switching off its IRC network that it had been using for 22 years and now uses Matrix instead.

Matt Brems from General Assembly joins us to explain what “data science” actually means these days and how that has changed over time. He also gives us some insight into how people are going about data science education, how AI fits into the data science workflow, and how to differentiate yourself career-wise.

Dustin Schau joins the party to talk about the state of Gatsby and the changes and improvements to it in the last year. We talk about what Gatsby delivers to the front end and how it does it quickly with improvements to the build system. Dustin also fields our questions and talks about Gatsby Cloud and where things are going.

Mireille and Adam discuss the power of choice as it relates to our locus of control, decision making, and the changes we want to make in our lives. Emotions play a role in decision making as do our values and the perceived payout. When we are aware of the choices we make, we have the capacity to change them and henceforth, the direction of our lives, and the way we feel.

In this episode Jaana and Mat are joined by Daniel and Miriah to dive into AI in Go. Why has python historically had a bigger foothold in the AI scene? Is machine learning in Go growing? What libraries and tools are out there for someone looking to get started with AI? And where do you start if you don’t have enough data for your own models?

We are a party-themed podcast, so FUN is at the heart of every episode. One way we keep things fun is by mixing it up and trying new things.

We play games like JS Jeopardy… (clip from episode #112)

debate hot topics like should websites work without JS… (clip from episode #87)

discuss and analyze the news… (clip from episode #94)

share wisdom we’ve collected over the years… (clip from episode #106)

interview amazing devs like John Resig and Amelia Wattenberger… and a whole lot more.

Oh, and did I mention we record the show live? You can be part of the hijinx each and every Thursday at changelog.com/live.

This is JS Party! Please listen to a recent episode that piques your interest and subscribe today. We’d love to have you with us.

Frank Karlitschek joined us to talk about Nextcloud - a self-hosted free & open source community-driven productivity platform that’s safe home for all your data. We talk about how Nextcloud was forked from ownCloud, successful ways to run community-driven open source projects, open core vs open source, aligned incentives, and the challenges Nextcloud is facing to increase adoption and grow.

Craig Wiley, from Google Cloud, joins us to discuss various pieces of the TensorFlow ecosystem along with TensorFlow Enterprise. He sheds light on how enterprises are utilizing AI and supporting AI-driven applications in the Cloud. He also clarifies Google’s relationship to TensorFlow and explains how TensorFlow development is impacting Google Cloud Platform.

KBall interviews Brian Leroux in a wide-ranging discussion covering “Progressive Bundling” with native ES Modules, building infrastructure as code, and what the future of JamStack and serverless deployment might look like.

Newsletters play a unique role for developers. As the Go community continues to grow and mature, these newsletters provide a much-needed filter for the oft overwhelming stream of new articles, talks, and libraries produced by the community on a weekly basis.

In this episode Johnny, Jon, and Mat are joined by Peter Cooper of the Golang Weekly newsletter to discuss his role as a newsletter curator. We explore difficult topics that touch on ethics and responsibilities of a curator and of course, the impact Peter and his team have on shaping, at least in part, what many in the Go community get exposed to.

Expanding AI technology to the local languages of emerging markets presents huge challenges. Good data is scarce or non-existent. Users often have bandwidth or connectivity issues. Existing platforms target only a small number of high-resource languages.

Our own Daniel Whitenack (data scientist at SIL International) and Dan Jeffries (from Pachyderm) discuss how these and related problems will only be solved when AI technology and resources from industry are combined with linguistic expertise from those on the ground working with local language communities. They have illustrated this approach as they work on pushing voice technology into emerging markets.

Divya leads a deep discussion with Jerod, KBall, and Nick on what’s stagnating in browsers. What has remained the same in browser tech over the last 20 years that remains a pain point in working with browsers? For example - Focus in browsers hasn’t changed much in 20 years. Why is that and how do we go about making all the stale things in browser tech better?

Stephanie Morillo (content strategist and previously editor-in-chief of DigitalOcean and GitHub’s company blogs) wrote a book titled The Developer’s Guide to Content Creation — it’s a book for developers who want to consistently and confidently generate new ideas and publish high-quality technical content.

We talked with Stephanie about why developers should be writing and sharing their ideas, crafting a mission statement for your blog and thoughts on personal brand, her 4 step recipe for generating content ideas, as well as promotional and syndication strategies to consider for your developer blog.

Interfaces are everywhere in Go. The basic error type is an interface, writing with the fmt package means you are probably using an interface, and there are countless other instances where they pop up. In this episode Mark, Mat, Johnny, and Jon discuss interfaces at length, exploring what they are, how they are using them in their own projects, as well as tips for how you can leverage them in your own code.

Mireille and Adam discuss the mechanism of attention as an allocation of one’s resources. If we can think of attention as that of a lens, we can practice choosing what we give our attention to recognizing that multiple things, both externally and internally, routinely compete for our attention. Distraction can also be useful when we utilize it intentionally to manage the focus of our attention.

Caleb Porzio is the creator & maintainer of Livewire, AlpineJS, and more. His latest open source endeavor was announced as “sponsorware”, which means it lived in a private repo (only available to Caleb’s GitHub Sponsors) until he hit a set sponsorship threshold, at which point it was open sourced.

On this episode, we talk through this sponsorware experiment in-depth. We learn how he dreamt it up, how it went (spoiler: very well), and how he had to change his mindset on 2 things in order to make sustainability possible.

Daniel and Chris hang out with Mike McCourt from Invoca to learn about the natural language processing model architectures underlying Signal AI. Mike shares how they process conversational data, the challenges they have to overcome, and the types of insights that can be harvested.

Yetunde Dada from QuantumBlack joins Jerod for a deep dive on Kedro, a workflow tool that helps structure reproducible, scaleable, deployable, robust, and versioned data pipelines. They discuss what Kedro’s all about and how it’s “changing the landscape of data pipelines in Python”, the ins/outs of open sourcing Kedro, and how they found early success by sweating the details. Finally, Jerod asks Yetunde about her passion project: a virtual reality film which debuted at the Sundance Film Festival in January.

KBall and Nick dive deep with Chris Manson and Jen Weber from the Ember core team. They talk about Ember.js: What it is, why it’s different, what’s new in the Ember Octane release, and what’s exciting in the future of the project.

Telemetry is tricky to get started with. What metrics should you be tracking? Which metrics are important? Will they help you predict and avoid potential issues? When is a good time to start? Should you put it off until later? In this episode we discuss some common metrics to collect, how to get started with telemetry, and more with guest Dave Blakey of Snapt.

We teamed up with some friends of ours at Heroku to promote the Code-ish podcast so we’re sharing a full-length episode right here in the JS Party feed. This episode features Owen Ou, who is joined by Tanmai Gopal (CEO of Hasura) talking about the pros and cons of using GraphQL in your application. Learn more and subscribe at heroku.com/podcasts/codeish.

Daniel and Chris explore Semantic Scholar with Doug Raymond of the Allen Institute for Artificial Intelligence. Semantic Scholar is an AI-backed search engine that uses machine learning, natural language processing, and machine vision to surface relevant information from scientific papers.