Heroku Icon Heroku – Sponsored

🎧 Processing large datasets with Python

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From Heroku’s Code[ish] podcast, Greg Nokes and special guest JT Wolohan talk about Python in a large dataset world. Bonus — they share a 40% discount code for JT’s book!

Python is familiar to most developers as a high-level scripting language that’s popular in scientific communities. But some of its main benefits include the data processing ecosystem that’s been built around it. In particular, the machine learning communities, coupled with its lightweight asynchronous frameworks, have brought a new interest in how Python works with massive datasets.

J.T. Wolohan, the author of “Mastering Large Datasets with Python,” joined Greg Nokes, Master Technical Architect at Heroku, to talk about the application of Python and massive datasets.

Zach Holman zachholman.com

UTC is enough for everyone, right?

Programming around time is the bane of pretty much every programmer’s existence. UTC works most of the time, but still has its flaws.

Zach Holman writes on his blog:

Programming time, dates, timezones, recurring events, leap seconds… everything is pretty terrible. The common refrain in the industry is Just use UTC! Just use UTC! And that’s correct…sort of. But if you’re stuck building software that deals with time, there’s so much more to consider. It’s time…to talk about time.

Zach includes a lot of time-related puns and whole lot of wisdom about programming time.

OpenAI Icon OpenAI

OpenAI Fellows — Fall 2018 (now open)

As we gear up for the launch of Practical AI and more AI/ML/DS related news coverage, I wanted to bring to your attention to this 6-month apprenticeship (compensated) in AI research at OpenAI.

We’re now accepting applications for the next cohort of OpenAI Fellows, a program which offers a compensated 6-month apprenticeship in AI research at OpenAI. We designed this program for people who want to be an AI researcher, but do not have a formal background in the field. Applications for Fellows starting in September are open now and will close on July 8th at 12AM PST.

Apply here.

Eileen Uchitelle GitHub Blog

Upgrading GitHub from Rails 3.2 to 5.2

Eileen Uchitelle:

In total the project took a year and a half to upgrade from Rails 3.2 to Rails 5.2. Along the way we took time to clean up technical debt and improve the overall codebase while doing the upgrade. Below we’ll talk about how we upgraded Rails, lessons we learned and whether we’d do it again.

Congrats to Eileen and the team on this massive effort! Click through to read how they did it and the lessons the learned along the way.

Tidelift Icon Tidelift – Sponsored

Best practices for managing your open source artifacts

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Does your development team struggle to manage the hairball of open source components that are now part of your applications and keep them up to date and secure? Do you ever dream about having one place where you can find and store “known good” open source packages that are pre-vetted and pre-approved for use in building applications?

Watch this on-demand webinar to hear JFrog senior product manager Mark Galpin and Tidelift co-founder Havoc Pennington share the latest best practices organizations can use to manage their open source dependencies well.

TypeScript github.com

A secure TypeScript runtime on V8

If you need a JS runtime that supports TypeScript out of the box and has security as a top-most priority, star this repo and come back when it’s no longer “Segfaulty”.

Feature bullets! 👇

  • No package.json, no npm. Not backwards compatible with Node
  • Single executable
  • Defaults to read-only file system access
  • Always dies on uncaught errors
  • Supports top-level await

EDIT: it’s worth noting that this project is by Ryan Dahl, inventor of Node.js.

Justin Sisley github.com

mostly – a full stack web app starter kit built on Node.js

mostly’s purpose is to serve as a lightweight, easy-to-comprehend starting point, with a focus on providing a great developer experience while helping you get high quality and maintainable web applications deployed rapidly.

It uses Express for the server and React for the client. Worth a look if you’re starting up a new web project. I dig this point about it:

Nothing is hidden, nothing is magical, and all of the “plumbing” is accessible and simple.

Dimitri Fontaine tapoueh.org

Database modeling anti-patterns 🙅‍♀️

Dimitri Fontaine shares 3 classic data-modeling anti-patterns. The UUID section lacks strong argumentation, but the real gem in this article is his advice at the end. A snippet:

My advice is to always normalize your database model first, and then only fix the problems you have with that when you actually have them. Well except in those 3% of cases where really, really, it should be done in the design phase of the project. It’s quite hard to recognize those 3% though, and that ability is hard gained with experience.

Experience is the ultimate teacher.

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