Changelog Master Feed

Dave Cheney talks to us about the Zen of Go (ten engineering values for writing simple, readable, maintainable Go code). What makes code good in Go? What guiding principles should we bear in mind when writing Go?

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.