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New
The latest blog posts to take off on Hacker News. 1,888 posts.
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Soma Water Filters Are Worthless
This experiment was inspired by a light-hearted argument with my wife, a stylish but atrocious water filter, and the explosion of start-ups attempting to turn everything you purchase into a subscription service.
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Why Use Postgres?
Five years ago I wrote a post that got some good attention on why you should use Postgres. Almost a year later I added a bunch of things I missed. Many of those items bear repeating, and I’ll recap a few of those in the latter half of this post. But in the last 4-5 years there’s been a lot of improvements and more…
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Gender and verbs across 100K stories: a tidy analysis
Previously in this series
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Taming Recurrent Neural Networks for Better Summarization
This blog post is about the ACL 2017 paper Get To The Point: Summarization with Pointer-Generator Networks by Abigail See, Peter J Liu, and Christopher Manni...
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Mapping Strings in C++
Mapping strings to things makes sense. You take a meaningful string and you assign it a value. As with most things we do in programming there are many pitfalls to approaching a problem. So, lets explore some of them!
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New Features Coming in PostgreSQL 10
The list of new features coming in PostgreSQL 10 is extremely impressive. I've been involved in the PostgreSQL project since the 8.4 releas...
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How to Learn Hadoop for Free
KOITOTO LOGIN menghadirkan akses cepat, aman, dan praktis untuk pengalaman hiburan online modern dengan navigasi responsif, performa stabil, serta kenyamanan maksimal setiap waktu.
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Interesting data structures: the BK-tree
A BK-tree is a tree data structure specialized to index data in a metric space . A metric space is essentially a set of objects which we equip with a distance function $d(a, b)$ for every pair of elements $(a, b)$. This distance function must satisfy a set of axioms in order to ensure it’s well-behaved. The exact…
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An Introduction to Stock Market Data Analysis with R – Part 1
This is my first article in a two-part series introducing stock data analysis using R.
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Choose SQL
Let’s get straight to the point; choose an SQL database for your web application. I think I can’t make my self clearer.
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Hash indexes are faster than btree indexes?
PostgreSQL have supported Hash Index for a long time, but they are not much used in production mainly because they are not durable. Now, ...
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PostgreSQL Parallel Query v2
A recent Twitter poll asked What is your favorite upcoming feature of PostgreSQL V10? In this admittedly unscientific survey, "better para...
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Why the bounce rate of AMP pages is so high
Your AMP pages have a higher than usual bounce rate? Don't worry, your data may be wrong. In this article, I explain you why.
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Some Reflections on Being Turned Down for a Lot of Data Science Jobs
👉 The decision was close, but the team has decided to keep looking for someone who might have more direct neural net experience.\n👉 Honestly, I think the way you communicated your thought process and results was confusing for some people in the room.\n👉 He’s needing someone with an image analysis background for data…
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R Passes SAS, but Python Leaves Them Both Behind
Examines market share or popularity of data science software by comparing the number of jobs available for each software package.
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Mathematicians becoming data scientists
I was talking the other day with a former student at UW, Sarah Rich, who’s done degrees in both math and CS and then went off to Twitter. I asked her: so what would you say to a math Ph.D. …
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Dynamic Programming in Python: Bayesian Blocks (2012)
Of all the programming styles I have learned, dynamic programming is perhaps the most beautiful. It can take problems that, at first glance, look ugly and intractable, and solve the problem with clean, concise code. Where a simplistic algorithm might accomplish something by brute force, dynamic programming steps back…
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Is PostgreSQL good enough?
tldr; you can do jobs, queues, real time change feeds, time series, object store, document store, full text search with PostgreSQL. How to,...
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Thrill – Big Data Processing with C++
Yesterday, I discovered an experimental Big Data processing framework written in C++ called Thrill. As most of you surely know, the well-known frameworks of this kind are mostly based on JVM, like …
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Implementing a Principal Component Analysis In Python (2014)
Implementing Principal Component Analysis from scratch in Python: scatter matrices, eigenvectors, variance explained, and comparison with scikit-learn PCA.
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Why Databases Are Not for Docker Containers
If we attentively look at IT industry at 2017, all of us will see “containers” and “Docker” as the top buzzwords ever. We started to package developed software in Docker containers in every field. …
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Unlearning descriptive statistics
If you've ever used an arithmetic mean, a Pearson correlation or a standard deviation to describe a dataset, I'm writing this for you. Better numbers exist to summarize location, association and spread: numbers that are easier to interpret and that don't act up with wonky data and outliers.