ekingery + #technology   1661

vi3k6i5/flashtext: Extract Keywords from sentence or Replace keywords in sentences.
This module can be used to replace keywords in sentences or extract keywords from sentences. It is based on the FlashText algorithm.

#technology  #public.good  #nlp 
18 hours ago by ekingery
Giraph - Welcome To Apache Giraph!
Apache Giraph is an iterative graph processing system built for high scalability. For example, it is currently used at Facebook to analyze the social graph formed by users and their connections. Giraph originated as the open-source counterpart to Pregel, the graph processing architecture developed at Google and described in a 2010 paper. Both systems are inspired by the Bulk Synchronous Parallel model of distributed computation introduced by Leslie Valiant. Giraph adds several featur...
#technology  #graphdb  a-list 
yesterday by ekingery
What We Got Wrong: Lessons from the Birth of Microservices
Ben Sigelman talks about what Google got wrong about microservices, the lessons learned along the way and how to apply those lessons today.
#technology  #micro.services 
3 days ago by ekingery
aws/chalice: Python Serverless Microframework for AWS
Python Serverless Microframework for AWS. Contribute to aws/chalice development by creating an account on GitHub.
#technology  #aws  #public.good 
10 days ago by ekingery
The uWSGI Stats Server — uWSGI 2.0 documentation
In addition to SNMP, uWSGI also supports a Stats Server mechanism which exports the uWSGI state as a JSON object to a socket.

Simply use the stats option followed by a valid socket address. If you want the stats served over HTTP you will need to also add the stats-http option.

#technology  #public.good 
12 days ago by ekingery
Awesome Table and Google Form - Google Apps Script Examples
Awesome Table is mainly used to display data in multiple ways.  But it can also be very useful to let your users edit the data displayed.
Here's how to do it, using Google Forms : see the documentation (or take a look at the spreadsheet).

If you try it, note that the changes you'll make can take a minute before being displayed on the site.
#technology  #public.good 
17 days ago by ekingery
Graham Lyons | Everything You Need To Know About Networking On AWS
Parts of a Network You Should Know About
If you’re running infrastructure and applications on AWS then you will encounter all of these things. They’re not the only parts of a network setup but they are, in my experience, the most important ones.

#technology  #aws  #networking 
4 weeks ago by ekingery
Shoobx – An Automated Legal Solution – Intelligently Incorporate and Manage your Delaware C Corp
Shoobx is changing the way that companies operate and grow. Our all-in-one platform gives your team all the tools you need to manage your company throughout its entire lifecycle. Your business doesn’t run in silos, and our integrated approach takes advantage of these natural overlaps. HR feeds equity, equity feeds fundraising, fundraising feeds HR, and governance defines the rules. By giving you a single place to manage your company, Shoobx lets you focus your time and resources on g...
#technology  #startup  #entrepreneurship  a-list 
4 weeks ago by ekingery
[TOOL] Newflasher (xperia command line flasher)
[TOOL] Newflasher (xperia command line flasher) Sony Cross-Device General
#technology  #android 
4 weeks ago by ekingery
Finally, Evidence That Diversity Improves Financial Performance
When managers and scholars talk about diversity’s impact on organizations and teams, they’re usually referring to the effects on collective accuracy and objectivity, analytical thinking, and innovativeness. On “harder” measures of financial performance, researchers have struggled to establish a causal relationship with diversity—particularly when studying large companies, where decision rights and incentives can be murky, and the effects of any given choice on, say, profits or market share can b...
#technology  #diversity 
5 weeks ago by ekingery
AI vs Lawyers: The Ultimate Showdown | LawGeex
In a landmark study, 20 experienced US-trained lawyers were pitted against the LawGeex Artificial Intelligence algorithm. The 40-page study details how AI has overtaken top lawyers for the first time in accurately spotting risks in everyday business contracts.
#technology  #artificial.intelligence  #machine.learning 
5 weeks ago by ekingery
Tailwind CSS - A Utility-First CSS Framework for Rapid UI Development
Tailwind is a utility-first CSS framework for rapidly building custom user interfaces.

Tailwind is different from frameworks like Bootstrap, Foundation, or Bulma in that it's not a UI kit.

It doesn't have a default theme, and there are no built-in UI components.

On the flip side, it also has no opinion about how your site should look and doesn't impose design decisions that you have to fight to undo.

If you're looking for a framework that comes with a menu of predesigned widgets to build your site with, Tailwind might not be the right framework for you.

But if you want a huge head start implementing a custom design with its own identity, Tailwind might be just what you're looking for.
#technology  #css 
6 weeks ago by ekingery
How We Hire Engineers
Providing transparency about our hiring process and the rationale behind it.
. Screener -> Interviews -> Tech Exercise -> Demo -> CTO Chat
#technology  #hiring  #recruiting 
6 weeks ago by ekingery
Binary vs. Multi-Class Logistic Regression | Chris Yeh
I’ve been taught binary logistic regression using the sigmoid function, and multi-class logistic regression using a softmax. However, I have never quite understood how the two are related. In this post, I show exactly how multi-class logistic regression generalizes the binary case.

#technology  #machine.learning  #public.good 
6 weeks ago by ekingery
Python Mock Gotchas - Alex Marandon
Mock is a Python mocking and testing library. It has become a de facto standard and is now included in the Python standard library.

Lately I’ve had the chance to work on a fairly large code base built upon a service-oriented architecture. In order to test each service in isolation, we make extensive use of Mock to simulate services that the code under test depends on.

During this process, we noticed that each member our team seemed to be hitting the same pitfalls, which I’m going to present in...
#technology  #programming  #python  #testing 
6 weeks ago by ekingery
Building your manager crew
I recently did a bit of analysis on the links that I share the most during coaching sessions. My resources on building a Manager Voltron (the blog post, and the bingo card) have been far and away the most-shared this month.

The challenges that we face as managers can be surprising, and overwhelming. Hiring, firing, conflict management, managing comms on a highly visible project, working with (and supporting) people who are very different than you are... how do you survive those firs...
#technology  #management  a-list 
7 weeks ago by ekingery
The Definitive Guide to Python import Statements | Chris Yeh
I’ve almost never been able to write correct Python import statements on the first go. Behavior is inconsistent between Python 2.7 and Python 3.6 (the two versions that I test here), and there is no single method for guaranteeing that imports will always work. This post is my dive into how to resolve common importing problems.
#technology  #python 
8 weeks ago by ekingery
Amazon’s AI-powered recruiting tool was biased against women — Quartz
From 2014 until 2017, Amazon tried to build a tool that used artificial intelligence to rate the best job candidates like products on its website, from one to five stars, according to a new report from Reuters.

But a year into the project, the programers realized that the algorithmic system wasn’t good at identifying people’s job potential: It was just good at identifying men.

#technology  #machine.learning 
9 weeks ago by ekingery
Is This True? A Fake News Database — Politico
About this project
The “fake news” phenomenon has gone global, but the full extent of its reach remains largely a mystery. To shed light on the spread of disinformation in U.S. politics, we’re fielding, collecting and verifying instances of “fake news.” Use this database to check whether items you’ve read online are real or to get a sense of the breadth of political disinformation out there.

#technology  #public.good  #journalism  #politics 
9 weeks ago by ekingery
GLG - Gerson Lehrman Group
GLG IS THE FUTURE OF PROFESSIONAL LEARNING.
We connect our clients to 600,000 Council Members, subject matter experts across every industry, to inform business decisions.
#technology  A-List 
10 weeks ago by ekingery
Chicago’s city budget 101 – CTBA’s Budget Blog
Chicago’s city budget 101
What’s an “enterprise fund”? Why don’t your property taxes support road maintenance? Why can’t you find Chicago Public Schools in the city budget? And more.
#technology  #graphics  #design  #visualization  #government 
10 weeks ago by ekingery
GopherCon 2018 - From Prototype to Production: Lessons from Building and Scaling Reddit's Ad Serving Platform with Go
Presenter: Deval Shah Liveblogger: Farhan Attamimi How Reddit built its ad-serving system using Go, and the lessons learned from the…
#technology  #golang  #public.good 
11 weeks ago by ekingery
Civil Blog
The decentralized marketplace for sustainable journalism.
#journalism  #technology  #blockchain 
11 weeks ago by ekingery
Meet The Four MIT Students Working To Disrupt The Expert Network Industry
Expert networks are used by well-heeled executives and investors to obtain information that only an experienced field practitioner would know. Four MIT students have created a startup to improve the expert networking process in a transparent and democratic manner.
#technology  #recruiting  AList 
11 weeks ago by ekingery
DeepBench · Expert insights
Connect with our expert advisors to find the insights you need to make critical business decisions.
Find expert knowledge for any topic in any industry, whether inside or outside of our network.
Our flexible approach works for you, with tiered pay-as-you-go pricing, tools to manage your own expert search, or recruiting help to find the perfect advisor.
AList  #networking  #technology 
11 weeks ago by ekingery
Solid
Solid is an exciting new project led by Prof. Tim Berners-Lee, inventor of the World Wide Web, taking place at MIT. The project aims to radically change the way Web applications work today, resulting in true data ownership as well as improved privacy.

#technology  #web 
11 weeks ago by ekingery
Ethics + Data Science – dj patil – Medium
How much has data changed our lives over the past decade? Just over 10 years ago the iphone was launched. Back then, our phones took grainy photos and video was just wishful thinking. It was still…
#technology  #data.science  #data  #philosophy 
september 2018 by ekingery
Gobo
Algorithms control what we see on our feeds,
but we can't control the algorithms.
Do you get most of your news from social media? Us too. Do you know anything about how they pick what to show you? No? Neither do we. Facebook, Twitter, and others sites use complicated computerized rules to decide which posts you see at the top of your feed and which you don't. These algorithms have reinforced our echo chamber - showing us content like what we share - and made hard to burst our filter ...
#technology  #public.good 
september 2018 by ekingery
Ethan Zuckerman, Inventor of Pop-up Ad, Interview
‘We’ve Lost 10 Years of Innovation. This Decade Has Been Boring for the Web.’
A conversation with Ethan Zuckerman, media scholar and inventor of the pop-up ad, on the original sin of advertising and the web’s lost decade.
#technology  #philosophy 
september 2018 by ekingery
Antonio Garcia Martinez, former Facebook Employee Interview
‘The Organic Side, to Me, Is Scarier Than the Ad Side’
A conversation with former Facebook product manager Antonio Garcia Martinez on Mark Zuckerberg’s “disingenuous and strange” reaction to the election.
#technology  #philosophy 
september 2018 by ekingery
An Apology for the Internet — From the People Who Built It
Even those who designed our digital world are aghast at what they created. A breakdown of what went wrong — from the architects who built it.
#technology  #philosophy 
september 2018 by ekingery
Jaron Lanier Interview on What Went Wrong With the Internet
A conversation with VR pioneer Jaron Lanier on Silicon Valley’s politics, being quoted by Mark Zuckerberg, and what went wrong with the internet.

#technology  #artificial.intelligence 
september 2018 by ekingery
If you can quit social media, but don’t, then you’re part of the problem, Jaron Lanier says - Recode
On this week’s new episode of Too Embarrassed to Ask, Kara Swisher talks with Jaron Lanier, a VR pioneer and longtime technology critic who currently works at Microsoft Research. He’s the author of a new book, “10 Arguments for Deleting Your Social Media Accounts Right Now” and explains why those who have the opportunity to quit platforms like Facebook and Twitter should do so. He compares the problem to past crusades against “mass addictions” like smoking or drunk driving, arguing that hearing ...
#technology  #artificial.intelligence 
september 2018 by ekingery
Advice for a new executive | Lara Hogan
When I was getting ready to join Kickstarter as VP of Engineering, Chad Dickerson (who was the CEO of Etsy when I worked there) offered to send me a bunch of advice. Chad had been a CTO multiple times before being CEO; he knew that this executive-level role was brand new to me, so he offered to help give me a steer and a foundation as I walked into this totally new territory.

#technology  #management 
september 2018 by ekingery
An Introduction to HyperLedger Technologies
This paper provides a high-level overview of Hyperledger: Why it was created,
how it is governed, and what it hopes to achieve. The core of this paper presents
five compelling uses for enterprise blockchain in different industries. It also
describes the open source frameworks and tools that Hyperledger is developing
to help enterprises around the world deliver on the promise of blockchain for
more secure, more reliable, and more streamlined interactions.
This is not intended as a deep technical ...
#technology  #blockchain 
august 2018 by ekingery
Home - Hyperledger
Hyperledger is an open source collaborative effort created to advance cross-industry blockchain technologies. It is a global collaboration, hosted by The Linux Foundation, including leaders in finance, banking, IoT, supply chain, manufacturing and technology.

#technology  #blockchain 
august 2018 by ekingery
Architecture of the Hyperledger Blockchain Fabric
A blockchain is best understood in the model of state-machine replication [8], where a
service maintains some state and clients invoke operations that transform the state and generate outputs.
A blockchain emulates a “trusted” computing service through a distributed protocol, run by nodes connected
over the Internet. The service represents or creates an asset, in which all nodes have some stake.
The nodes share the common goal of running the service but do not necessarily trust each other for
mo...
#technology  #blockchain 
august 2018 by ekingery
Metabase
Metabase is the easy, open source way for everyone in your company to ask questions and learn from data.
#technology  #visualization  #analytics  #data.science 
august 2018 by ekingery
fastText
FastText is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be reduced in size to even fit on mobile devices.

#technology  #machine.learning  #public.good 
august 2018 by ekingery
JavaScript End to End Testing Framework | Cypress.io
Test your code, not your patience.
Cypress is the new standard in front-end testing that every developer and QA engineer needs.
#technology  #javascript  #testing  #quality 
august 2018 by ekingery
Readings in Database Systems, 5th Edition
Readings in Database Systems (commonly known as the "Red Book") has offered readers an opinionated take on both classic and cutting-edge research in the field of data management since 1988. Here, we present the Fifth Edition of the Red Book — the first in over ten years.
CHAPTERS
Preface [HTML] [PDF]
Background introduced by Michael Stonebraker [HTML] [PDF]
Traditional RDBMS Systems introduced by Michael Stonebraker [HTML] [PDF]
Techniques Everyone Should Know introduced by Peter Bai...
#technology  #data  #database 
august 2018 by ekingery
PostgreSQL Triggers and Stored Function Basics | Severalnines
In a previous article we discussed the PostgreSQL serial pseudo-type, which is useful for populating synthetic key values with incrementing integers. We saw that employing the serial data type keyword in a table data definition language (DDL) statement is implemented as an integer type column declaration that is populated, upon a database insert, with a default value derived from a simple function call. This automated behavior of invoking functional code as part of the integral response to data ...
#technology  #database  #postgresql 
august 2018 by ekingery
Psql Watch - Today I Learned
The Postgres REPL psql in includes a \watch command that repeatedly executes a command every n seconds. Here’s the official description:

\watch [ seconds ] Repeatedly execute the current query buffer (like \g) until interrupted or the query fails. Wait the specified number of seconds (default 2) between executions.

It executes the current query buffer, which you can print with \p:
#technology  #database  #postgresql 
august 2018 by ekingery
Calculating Summaries with Histogram Frequency Distributions · Advanced SQL · SILOTA
A histogram is a special type of column statistic that sorts values into buckets – as you might sort coins into buckets. Generating a histogram is a great way to understand the distribution of data. We'll look at multiple ways of generating histograms.
#technology  #sql  #statistics  #data.science  #postgresql 
july 2018 by ekingery
We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of discrete data such as text corpora.
We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of
discrete data such as text corpora. LDA is a three-level hierarchical Bayesian model, in which each
item of a collection is modeled as a finite mixture over an underlying set of topics. Each topic is, in
turn, modeled as an infinite mixture over an underlying set of topic probabilities. In the context of
text modeling, the topic probabilities provide an explicit representation of a document. We pre...
#technology  #machine.learning  #public.good 
june 2018 by ekingery
Rebel developers are trying to cure our smartphone addiction — with an app - The Washington Post
To understand why it’s so hard to pry yourself free from your phone, Facebook account and Twitter, you need to know about B.F. Skinner’s pigeons.

In the 1950s, Skinner began putting the birds in a box and training them to peck on a piece of plastic whenever they wanted food. Then the Harvard psychology researcher rigged the system so that not every peck would yield a tasty treat. It became random — a reward every three pecks, then five pecks, then two pecks.

The pigeons went crazy ...
#technology 
june 2018 by ekingery
A Gentle Introduction to Normality Tests in Python
An important decision point when working with a sample of data is whether to use parametric or nonparametric statistical methods.

Parametric statistical methods assume that the data has a known and specific distribution, often a Gaussian distribution. If a data sample is not Gaussian, then the assumptions of parametric statistical tests are violated and nonparametric statistical methods must be used.

There are a range of techniques that you can use to check if your data sample devi...
#technology  #machine.learning  #statistics 
june 2018 by ekingery
Screenshots and screencasts
ubuntu screenshot instructions

Quickly take a screenshot of the desktop, a window, or an area at any time using these global keyboard shortcuts:

Prt Scrn to take a screenshot of the desktop.

Alt+Prt Scrn to take a screenshot of a window.

Shift+Prt Scrn to take a screenshot of an area you select.

When you use a keyboard shortcut, the image is automatically saved in your Pictures folder in your home folder with a file name that begins with Screenshot and includes the date and time it was taken.

If you do not have a Pictures folder, the images will be saved in your home folder instead.

You can also hold down Ctrl with any of the above shortcuts to copy the screenshot image to the clipboard instead of saving it.
#technology  #ubuntu 
june 2018 by ekingery
Meet the campaign connecting affluent techies with progressive candidates around the country - The Verge
Paul Spencer, a Congressional candidate in Little Rock, Arkansas, has never worked at a tech company. He doesn’t represent tech industry issues. He doesn’t even own a laptop or smartphone. He typically dictates the tweets on his campaign’s official Twitter account; occasionally he’ll type them out on a campaign staffer’s computer. Sometime last year, he was tagged in a tweet with someone going by the handle of @Pinboard, who was telling Spencer that he could raise money for him.
#technology  #politics 
june 2018 by ekingery
Machine Learning Crash Course  |  Google Developers
Machine Learning Crash Course
with TensorFlow APIs
Google's fast-paced, practical introduction to machine learning
#technology  #machine.learning  #tutorial 
june 2018 by ekingery
Prodigy - Radically efficient machine teaching
Radically efficient machine teaching.
An annotation tool powered
by active learning
#technology  #machine.learning 
june 2018 by ekingery
Killing the Coding Interview | Pete Holiday's Blog
Let me get straight to the point: you don’t have to see a person’s code to figure out whether they’re a good developer.

Over the past ten or so years, I’ve interviewed a lot of engineers. In that time, I’ve developed a set of techniques that allow me to quickly and accurately evaluate a developer without seeing their code.

I’m now convinced that it’s not only possible, but objectively better to do it that way.
#technology  #interviewing  #recruiting  #hiring 
may 2018 by ekingery
Keras Documentation
Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.

Use Keras if you need a deep learning library that:

Allows for easy and fast prototyping (through user friendliness, modularity, and extensibility).
Supports both convolutional networks and recurrent networks, as well as combinations of the two.
Runs seamlessly on CPU and GPU.
#technology  #machine.learning 
may 2018 by ekingery
httpbin(1): HTTP Client Testing Service
Testing an HTTP Library can become difficult sometimes. RequestBin is fantastic for testing POST requests, but doesn't let you control the response. This exists to cover all kinds of HTTP scenarios. Additional endpoints are being considered.
#technology  #networking  #web.programming  #api 
april 2018 by ekingery
Syncthing
Syncthing replaces proprietary sync and cloud services with something open, trustworthy and decentralized. Your data is your data alone and you deserve to choose where it is stored, if it is shared with some third party and how it's transmitted over the Internet.
#technology  #backups 
april 2018 by ekingery
Standard Ebooks: Free and liberated ebooks, carefully produced for the true book lover.
Standard Ebooks is a volunteer driven, not-for-profit project that produces new editions of public domain ebooks that are lovingly formatted, open source, and free.

Ebook projects like Project Gutenberg transcribe ebooks and make them available for the widest number of reading devices. Standard Ebooks takes ebooks from sources like Project Gutenberg, formats and typesets them using a carefully designed and professional-grade style manual, lightly modernizes them, fully proofreads and corrects them, and then builds them to create a new edition that takes advantage of state-of-the-art ereader and browser technology.
#technology  #literature 
april 2018 by ekingery
Announcing Civiqs: the coolest thing I've helped build since Daily Kos
Behold, Civiqs—a division of Kos Media, separate from Daily Kos, with its own team but under the same corporate umbrella. And what does Civiqs offer? Exactly what we hoped for: the ability to scientifically track data EVERY SINGLE DAY on dozens of issues, candidates, and campaigns, so we can see how events affect public opinion in real time.
#politics  #technology 
march 2018 by ekingery
Arch Linux and the XPS 13 9360
This post is basically going to get you through an Arch Linux installation, with full disk encryption, hibernate and hybrid sleep support.
#technology  #tutorial  #linux 
march 2018 by ekingery
Email tracking, scheduling, templates, send later, and surveys for Gmail | Mixmax
Powerful analytics, automation, and enhancements for your outbound communications.
#technology  #automation  #email  #marketing  #sales  AList 
february 2018 by ekingery
Q - Common Mistakes in Data Science Hiring : Part 1
Hiring and retention are common sources of frustration in the world of data science. (That includes machine learning (ML), artificial intelligence (AI), and big data.) It’s easy to blame this on candidates being fickle because data science is a hot, in-demand field. There’s certainly some truth to that. There’s also another truth: you’re unwittingly sabotaging your efforts to hire and retain data talent.
#technology  #hiring  #management  #data.science  DataScience 
february 2018 by ekingery
Trey Causey, Data Product Manager
I am advocating for an empathetic but potentially more time-consuming process here. I realize a lot of this advice runs contrary to widespread hiring practices, and I'm comfortable with that. I'm interesting in promoting a workplace that welcomes diversity in all forms and that matches candidates with jobs that help them grow as people and as data scientists. Similarly, you should be hiring people that will push your organization forward, and that encourages learning and teaching between peers.
#technology  #hiring  #management  #data.science 
february 2018 by ekingery
The Modular Monolith: Rails Architecture – Dan Manges – Medium
Rather than extracting microservices, we decided to first focus on making our app modular. Our goal was to identify good architectural boundaries before we extracted code out into independent services. This would set us up to be able to migrate to microservices in the future, by having the code structured in a way to make a smooth transition.

Our approach has been working exceptionally well. Based on our experience, I’d highly recommend this strategy for almost any team at our size and scale. We have a code base that’s been under development for over two years with twenty-five software engineers now working on it. We have 50,000+ lines of Ruby/Rails application code and 100,000+ lines of test code.
#technology  #ruby  #rails  #architecture  #software.architecture 
january 2018 by ekingery
Introducing Kindergartners to Coding – Public Good
Introducing Kindergartners to Coding
I recently had the opportunity to present at my daughter’s Kindergarten Career Day. As the VP of Engineering at Public Good, this provided me a chance to explore what technology and programming mean to both kindergartners and to many of their parents who aren’t immersed in a technology for a living. The presentation also had to be engaging and meaningful for the kids, lest I risk boring 38 six year olds and suffer the dire consequences.
#technology  #public.good 
january 2018 by ekingery
Public Good Software at Bloomberg D4GX 2017 – Public Good
The abstract of our paper hints at a few things we’ll soon talk about in more detail here on the blog in 2018:

Public Good Software’s products match journalistic articles and other narrative content to relevant charitable causes and nonprofit organizations so that readers can take action on the issues raised by the articles’ publishers. Previously an expensive and labor-intensive process, application of machine learning and other automated textual analyses now allow us to scale this matching process to the volume of content produced daily by multiple large national media outlets. This paper describes the development of a layered system of tactics working across a general news model that minimizes the need for human curation while maintaining the particular focus of concern for each individual publication. We present a number of general strategies for categorizing heterogenous texts, and suggest editorial and operational tactics for publishers to make their publications and individual content items more efficiently analyzed by automated systems.
#technology  #public.good  #machine.learning 
january 2018 by ekingery
We can draw school zones to make classrooms less segregated. This is how well your district does. - Vox
Think about your elementary school.

If you attended an American public school, chances are you went to that school because your family lived in that school’s attendance zone. You probably didn’t think twice about it.

We tend to assume these are neutrally drawn, immutable borders. But if you take a step back and look at the demographics of who lives in each attendance zone, you’re faced with maps like this:
#technology  #journalism  #diversity  #racism 
january 2018 by ekingery
Tracking compensation and promotion inequity | Lara Hogan
Plenty of tech companies are attempting to make their pipeline of candidates more diverse. But an organization won’t find much success recruiting a more diverse group of employees unless its leaders are aware of their existing internal inclusion and equity issues. Unless leadership has already started to tackle these issues, it’s likely that these new hires will enter into an environment that they won’t want to stick around in for long.

One of my suggestions is to calculate whether you compensate and promote people fairly, which requires some level of manual analysis. It also takes a lot of work to make this math repeatable, so you can check in on your organization’s progress over time. And if you’re doing this analysis for the first time, you probably won’t have statistically significant results, because you may not have enough folks from underrepresented communities yet.
#technology  #diversity  #management  #hiring  #recruiting 
january 2018 by ekingery
Inclusion in the first shift.
Drucker suggests, “If you can't measure it, you can't improve it”, and that’s where I started. Especially when you invest a bunch of your time and energy into something, it’s easy to index on your effort over your effect, so starting with success metrics was important to keep me grounded in real impact.

I started measuring the areas proposed by Lara Hogan in Inclusion math, and added a few more based on discussion with coworkers and friends:

Retention: do underrepresented minorities (URMs) stay at your company as long as other folks?
Time at level: do URMs experience comparable rates of career progression at your company?
Level distribution: are URMs represented in all levels of seniority?
Compensation: are URMs compensated equitably for their level?
Usage rate: which individuals lead and participate in inclusion and culture efforts? Are senior managers and senior engineers involved? How broad is the pool of participants?
Social recognition: do you talk about inclusion efforts in your forums of culture? Company meetings, offsites, and so on.
Performance recognition: how are inclusion and culture efforts recognized in your performance and compensation process?
Hiring: is your pipeline diverse, and are URMs in your pipeline getting and accepting offers at similar rates? (The pipeline still matters.)
Many of these metrics are easy to analyze in partnership with human resources. Much of what we did to impact those metrics is obvious (e.g. cold sourcing), and I don’t want to retread tired ground, but measuring and moving some of these metrics did require meaningful changes to how I work, and I think those are worth digging into a bit.
#technology  #diversity  #hiring  #management 
january 2018 by ekingery
httpbin(1): HTTP Client Testing Service
httpbin(1): HTTP Request & Response Service - troubleshoot rpc / webhooks, slack integrations, etc
#technology  #api  #programming 
january 2018 by ekingery
The Case for Learned Index Structures – Arxiv Vanity
https://arxiv.org/pdf/1712.01208v1.pdf

Indexes are models: a B-Tree-Index can be seen as a model to map a key to the position of a record within a sorted array, a Hash-Index as a model to map a key to a position of a record within an unsorted array, and a BitMap-Index as a model to indicate if a data record exists or not. In this exploratory research paper, we start from this premise and posit that all existing index structures can be replaced with other types of models, including deep-learning models, which we term learned indexes. The key idea is that a model can learn the sort order or structure of lookup keys and use this signal to effectively predict the position or existence of records. We theoretically analyze under which conditions learned indexes outperform traditional index structures and describe the main challenges in designing learned index structures. Our initial results show, that by using neural nets we are able to outperform cache-optimized B-Trees by up to
70
%
in speed while saving an order-of-magnitude in memory over several real-world data sets. More importantly though, we believe that the idea of replacing core components of a data management system through learned models has far reaching implications for future systems designs and that this work just provides a glimpse of what might be possible.
#technology  #database  #machine.learning 
december 2017 by ekingery
Miguel Grinberg's Tutorials - The Flask Mega-Tutorial
The Flask Mega-Tutorial is an overarching tutorial for Python beginner and intemediate developers that teaches web development with the Flask framework. The tutorial has been thoroughly revised and expanded in 2017, now containing 23 chapters. The concepts that are covered go well beyond Flask, including a wide range of topics Python web developers need to know when writing their own applications. You can preview this tutorial on Miguel Grinberg's blog.

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#technology  #python  #tutorial 
december 2017 by ekingery
Counting Page Views in PostgreSQL < SQL | The Art of Web
This is an example of a seemingly simple task that becomes more complicated as if fails to adapt to increases in database size and traffic.
#technology  #data  #database  #postgresql  #public.good 
december 2017 by ekingery
Faster PostgreSQL Counting
Everybody counts, but not always quickly. This article is a close look into how PostgreSQL optimizes counting. If you know the tricks there are ways to count rows orders of magnitude faster than you do already.

The problem is actually underdescribed – there are several variations of counting, each with its own methods. First think whether you need an exact count or whether an estimate suffices. Next, are you counting duplicates or just distinct values? Finally do you want a lump count of an entire table or will you want to count only those rows matching extra criteria?

We’ll analyze the techniques available for each situation and compare their speed and resource consumption. After learning about techniques for a single database we’ll use Citus to demonstrate how to parallelize counts in a distributed database.
#technology  #postgresql  #optimization  #data  #database  #public.good 
december 2017 by ekingery
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