"javascript" entries

Four short links: 29 May 2015

Four short links: 29 May 2015

Data Integration, Carousel, Distributed Project Management, and Costs of Premature Build

  1. Using Logs to Build Solid Data Infrastructure — (Martin Kleppmann) — For lack of a better term, I’m going to call this the problem of ‘data integration.’ With that, I really just mean ‘making sure that the data ends up in all the right places.’ Whenever a piece of data changes in one place, it needs to change correspondingly in all the other places where there is a copy or derivative of that data.
  2. TremulaJS — sweet carousel, with PHYSICS.
  3. Project Advice (Daniel Bachhuber) — for leaders of distributed teams. Focus on clearing blockers above all else. Because you’re working on an open source project with contributors across many timezones, average time to feedback will optimistically be six hours. More likely, it will be 24-48 hours. This slow feedback cycle can kill progress on pull requests. As a project maintainer, prioritize giving feedback, clearing blockers, and making decisions.
  4. YAGNI (Martin Fowler) — cost of build, cost of delay, cost of carry, cost of repair. Every product manager has felt these costs.
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Four short links: 25 May 2015

Four short links: 25 May 2015

8 (Bits) Is Enough, Second Machine Age, LLVM OpenMP, and Javascript Graphs

  1. Why Are Eight Bits Enough for Deep Neural Networks? (Pete Warden) — It turns out that neural networks are different. You can run them with eight-bit parameters and intermediate buffers, and suffer no noticeable loss in the final results. This was astonishing to me, but it’s something that’s been re-discovered over and over again.
  2. The Great Decoupling (HBR) — The Second Machine Age is playing out differently than the First Machine Age, continuing the long-term trend of material abundance but not of ever-greater labor demand.
  3. OpenMP Support in LLVMOpenMP enables Clang users to harness full power of modern multi-core processors with vector units. Pragmas from OpenMP 3.1 provide an industry standard way to employ task parallelism, while ‘#pragma omp simd’ is a simple yet flexible way to enable data parallelism (aka vectorization).
  4. JS Graphs — a visual catalogue (with search) of Javascript graphing libraries.
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Four short links: 18 May 2015

Four short links: 18 May 2015

Javascript Tools, Elements of Scale, 2FA Adoption, and Empathy

  1. Tools are the Problem Tools don’t solve problems any more; they have become the problem. There’s just too many of them, and they all include an incredible number of features that you don’t use on your site –but that users are still required to download and execute.
  2. Elements of Scale: Composing and Scaling Data Platforms (Ben Stopford) — today’s data platforms range greatly in complexity, from simple caching layers or polyglotic persistence right through to wholly integrated data pipelines. There are many paths. They go to many different places. In some of these places at least, nice things are found. So, the aim for this talk is to explain how and why some of these popular approaches work. We’ll do this by first considering the building blocks from which they are composed. These are the intuitions we’ll need to pull together the bigger stuff later on.
  3. Estimating Google’s 2FA AdoptionIf we project out to the current day (965 days later), that’s a growth of ~25M users (25,586,975). Add that to the ~14M base number of users (13,886,058) exiting the graph and we end up at a grand total of…nearly 40 million users (39,473,033) enrolled in Google’s 2SV. NB there’s a lot on the back of this envelope.
  4. Empathy and Product DevelopmentNone of this means that you shouldn’t A/B test or have other quantitative measure. But all of those will mean very little if you don’t have the qualitative context that only observation and usage can provide. Empathy is central to product development.
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Finding new in the Web

Learning from the Fluent Conference.

At Fluent 2015, we brought together a variety of stories about front-end engineering – some technical, some social, some more intricately intertwined.

From the very first day, it was clear that React was the big technical story of the conference, taking the place that Angular (which is still clearly important!) had had the previous year. Tutorials and sessions were busy, and I kept hearing conversation about React. Sometimes it was “what is React supposed to do?” but other times people were talking about exciting corners of React Native or techniques for integrating React with a variety of frameworks.

React makes me happy because it solves the problem a lot of people didn’t quite realize they had. Suddenly they are very enthusiastic about stuff that used to be really annoying. The Document Object Model (DOM) has been the foundation of most of the interactive work on the web since 1998, but it wasn’t very much fun then. As developers really get deeper into these things, the DOM has not exactly been a crowd-pleaser. In some ways React is a wrapper for the DOM, and in many ways it’s a just a better way to interact with the document tree.

The other technical key this year was JavaScript, often specifically ECMAScript 6 (ES6), the latest release. Brendan Eich talked about a world in which compiling to JavaScript has become normal, and how that frees much of the future development of JavaScript and the Web. Even Dart, which many of us saw as an attempt to replace JavaScript, has a home in this world.
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Four short links: 7 April 2015

Four short links: 7 April 2015

JavaScript Numeric Methods, Misunderstood Statistics, Web Speed, and Sentiment Analysis

  1. NumericJS — numerical methods in JavaScript.
  2. P Values are not Error Probabilities (PDF) — In particular, we illustrate how this mixing of statistical testing methodologies has resulted in widespread confusion over the interpretation of p values (evidential measures) and α levels (measures of error). We demonstrate that this confusion was a problem between the Fisherian and Neyman–Pearson camps, is not uncommon among statisticians, is prevalent in statistics textbooks, and is well nigh universal in the pages of leading (marketing) journals. This mass confusion, in turn, has rendered applications of classical statistical testing all but meaningless among applied researchers.
  3. Breaking the 1000ms Time to Glass Mobile Barrier (YouTube) —
    See also slides. Stay under 250 ms to feel “fast.” Stay under 1000 ms to keep users’ attention.
  4. Modern Methods for Sentiment AnalysisRecently, Google developed a method called Word2Vec that captures the context of words, while at the same time reducing the size of the data. Gentle introduction, with code.
Comment: 1

Full-stack tensions on the Web

How much do you need to know?

Vista_de_la_Biblioteca_VasconcelosI expected that CSSDevConf would be primarily a show about front-end work, focused on work in clients and specifically in browsers. I kept running into conversations, though, about the challenges of moving between the front and back end, the client and the server side. Some were from developers suddenly told that they had to become “full-stack developers” covering the whole spectrum, while others were from front-end engineers suddenly finding a flood of back-end developers tinkering with the client side of their applications. “Full-stack” isn’t always a cheerful story.

In the early days of the Web, “full-stack” was normal. While there were certainly people who focused on running web servers or designing sites as beautiful as the technology would allow, there were lots of webmasters who knew how to design a site, write HTML, manage a server, and maybe write some CGI code for early applications.

Formal separation of concerns among HTML, CSS, and JavaScript made it easier to share responsibilities among specialists. As the dot-com boom proceeded, specialization accelerated, with dedicated designers, programmers, and sysadmins coming to the work. Perhaps there were too many titles.

Even as the bust set in, specialization remained the trend because Web projects — especially on the server side — had grown far more complicated. They weren’t just a server and a few scripts, but a complete stack, including templates, logic, and usually a database. Whether you preferred the LAMP stack, a Microsoft ASP stack, or perhaps Java servlets and JSP, the server side rapidly became its own complex arena. Intranet development in particular exploded as a way to build server-based applications that could (cheaply) connect data sources to users on multiple platforms. Writing web apps was faster and cheaper than writing desktop apps, with more tolerance for platform variation.
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Pandora’s box model

An experiment in containing stylesheet complexity.

This post is part of my personal notes about the benefits currently specified in Shadow DOM, but contentious and held up in committee. We’ll work it out in standards, I’m sure — but given the number of things Shadow DOM was addressing, it may still be several years until we have solutions widely implemented and deployed that solve all of them. This has me doing a lot of thought exercises about what can be done in the meantime. The following reflects one such exercise: specifically, what would it mean to solve just the styling end of this on its own. Warning: it may be mildly crazy.

boxes

The Pandora Box

CSS works really well if you can follow good patterns and have nice rich markup. It lets you define broad rules and inherit and override selectively, and if used well it cleanly decouples a separation of concerns — it’s pretty elegant actually.

On the other hand, in the real world, things are often not that simple: until pretty recently, HTML wasn’t especially expressive natively, so we worked around it — many times on our own by adding classes like “article.”  But, there wasn’t a standard. Likewise, our ideas about the patterns we should follow or best practices continues to change as we gain new powers or spend more time with the technology. Of course, there are a vast number of cases where you’ll just go and upgrade your philosophy and be the better for it, but there are a number of times when this just isn’t an option. This is sometimes referred to in standards circles, less colorfully, as “the composition problem.”

When it comes to these sorts of cases, quality and philosophy are inevitably mixed and not entirely in the control of any one team. In these sorts of cases, CSS selectors are kind of like live hand grenades, it’s just way too easy to do damage you didn’t intend to do because it requires a level of coordination of approach which is, for business reasons, highly impractical. And so you try really hard to analyze the problem, get the right select/cascade/descend/inherit/specificity, pull the pin, lob it into the pages and… hope. Frequently, all hell breaks loose. The more you mix it up, the harder it gets to reason about and the more our stylesheets explode in complexity. You’ve opened the proverbial Pandora’s Box.

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Four short links: 26 February 2015

Four short links: 26 February 2015

Autocompletion, Colliding Trends, Microservices, and Writing Useful Code

  1. awesomplete — MIT-licensed ultra lightweight, usable, beautiful autocomplete with zero dependencies in Javascript.
  2. How to Seize the Opportunities when Megatrends Collide — excuse the cheesy title, the chart from PwC showing pairwise combination of trends, is interesting.
  3. Adopting Microservices at Netflix: Lessons for Architectural Designyou want to think of servers like cattle, not pets. If you have a machine in production that performs a specialized function, and you know it by name, and everyone gets sad when it goes down, it’s a pet. Instead you should think of your servers like a herd of cows. What you care about is how many gallons of milk you get. If one day you notice you’re getting less milk than usual, you find out which cows aren’t producing well and replace them. People for Ethical Treatment of Iron, your time has come!
  4. Your Job is Not to Write Code (Laura Klein) — I know what you’re thinking. This will all take so long! I’ll be so much less effective! This isn’t true. You’ll be far more effective because you will actually be doing your job. Amen to it all.
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When can you learn JavaScript?

Khan Academy explores how far learners can get at different ages.

I picked up a brief guide to programming in 6th grade. There, on page 1, was A = A + 1. I knew that wasn’t possible, so I put it down, and came back to programming in 7th grade.

Khan Academy is having better luck with young students, but learning to program is kind of like learning to drive: the prerequisites aren’t obvious, but they’re helpful and often come later. At Fluent 2014, Pamela Fox explored the data Khan Academy has collected on learner age, and what it might mean for curricula going forward.

In her keynote, Fox explored:

  • What the world might look like if JavaScript were part of the curriculum as early as possible. (1:42)
  • Developing a sense of how kids respond to fairly easy challenges with Khan Academy’s participant data. (3:24)
  • What in the first programming challenge might keep people from succeeding? (4:37)
  • How different is the data for a logic challenge? At what age does completion level off? (6:16)
  • What might JavaScript skills enable in a high school curriculum? (8:24)

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Four short links: 10 February 2015

Four short links: 10 February 2015

Speech Recognition, Predictive Analytic Queries, Video Chat, and Javascript UI Library

  1. The Uncanny Valley of Speech Recognition (Zach Holman) — I’m reminded of driving up US-280 in 2003 or so with @raelity, a Kiwi and a South African trying every permutation of American accent from Kentucky to Yosemite Sam in order to get TellMe to stop giving us the weather for zipcode 10000. It didn’t recognise the swearing either. (Caution: features similarly strong language.)
  2. TuPAQ: An Efficient Planner for Large-scale Predictive Analytic Queries (PDF) — an integrated PAQ [Predictive Analytic Queries] planning architecture that combines advanced model search techniques, bandit resource allocation via runtime algorithm introspection, and physical optimization via batching. The resulting system, TUPAQ, solves the PAQ planning problem with comparable accuracy to exhaustive strategies but an order of magnitude faster, and can scale to models trained on terabytes of data across hundreds of machines.
  3. p2pvc — point-to-point video chat. In an 80×25 terminal window.
  4. Sortable — nifty UI library.
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