https://tdhopper.com/index.xml

Way back in 2015, I tweeted: Give a man a fish and you feed him for a day.

I use pyenv to manage Python versions on my Mac.

I’m a big fan of using pdb, the Python interactive debugger in conjunction with Pytest as I’m writing code.1 With the --pdb flag, you can have Pytest drop into pdb when a test fails.

I gave a talk at Pydata DC 2018 where I tried to articulate some reasons why companies building machine learning products under-invest in engineering and architecture.

Edsger W.

At JuypterDay in the Triangle, I gave a response to Joel Grus’s memorable “I Don’t Like Notebooks presentation.

I gave a talk at Scipy 2018 loosely based on my Ansible tutorial.

I gave a talk called Challenges in Applying Machine Learning to Cybersecurity at BSides Asheville.

On two occasions I have been asked, — ‘Pray, Mr.

In 2014, Sebastian Gutierrez published a collection of interviews entitled Data Scientists at Work.

Washington devoted far more time to the onerous task of draft letters than leading men into battle.

Three years ago, I wrote a post called “How I Became a Data Scientist Despite Being a Math Major”.

I have always believed that scientific research is another domain where a form of optimism is essential to success: I have yet to meet a successful scientist who lacks the ability to exaggerate the importance of what he or she is doing, and I believe that…

I created a new website devoted to my photography.

Ten years ago today, John Cook published his first blog post entitled Moore’s law and software bloat, a brief observation on how “Software bloat has increased at roughly the same rate as Moore’s law”.

There once was a man from Nantucket Who was careful with his data, where he stuck it His passwords always impress He checked for HTTPS But somebody still put his PII in a public S3 bucket

The downside of this is you have to have two production stacks… which is kind of expensive, but it’s dirt cheap compared to amount of money people spend on developers hacking away at things that are making them crazy.

A few years ago, I wrote a posted called How I Became a Data Scientist Despite Having Been a Math Major.

$ git checkout this Zen of Git Ugly is better than beautiful.

Plotting is an essential component of data analysis.

Do you ever want to be able to run a Python function in parallel on a set of inputs?

I was getting this message when I tried to install packages from conda-forge with Conda: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Fetching package metadata ...

Richard Bellman quoted by Stuart Dreyfus via Garrett Jones: I spent the Fall quarter (of 1950) at RAND.

My friends Andrew and Joel were kind enough to have me back on their podcast Adversarial Learning.

I gave a talk at the Data Science Conference on on building a realtime machine learning system with Kafka, Streamparse, and Storm.

From the Autobiography of Benjamin Franklin: Thomas Godfrey, a self-taught mathematician, great in his way, and afterward inventor of what is now called Hadley’s Quadrant.

This Software Engineering Radio interview with Neal Ford on Success Skills for Architects is full of gems about building effective software.

Staying focused while working in front of a computer and within reach of a smartphone is hard.

I’ve been tinkering with websites for nearly 20 years.

I wrote a few months back about how data scientists need more automation.

👉 The decision was close, but the team has decided to keep looking for someone who might have more direct neural net experience. 👉 Honestly, I think the way you communicated your thought process and results was confusing for some people in the room. 👉 He’s

Fred Benenson spent 6 years doing data science at Kickstarter.

I recently gave to the Duke Big Data Initiative entitled Dr.

A while ago, I published a Bash script that will open a Twitter search page to show your old tweets from this day of the year.

When you add an SSH key to your Github account, Github shows you the hexadecimal form of the MD5 hash of your public key.

From Daniel Lemire: I was an adept, as a teenager and a young adult, of thinkism.

I was honored to join my friends Joel and Andrew on the Adversarial Learning podcast to talk about my career in data science (and what it’s like to be the tallest one).

My former colleague’s from Parse.ly wrote the fantastic pykafka library with an optional c-backed using rdkafka.

Many data scientists aren’t lazy enough.

I always forget how to do this.

I’m trying to use the NUTS sampler in PyMC3 However, it was running at 2 iterations per second on my model, while the Metropolis Hastings sampler ran 450x faster.

I gave a talk last week at Research Triangle Analysts on understanding probabilistic topic models (specificly LDA) by using Python for simulation.

I was flattered to be asked to be on a burgeoning data science podcast called Undersampled Radio.

First run $ sudo pip install supervisor.

Suppose we have a discrete set of possible events \(1,\ldots, n\) that occur with probabilities \( (p_1, p_2, \ldots, p_n)\).

As we saw in an earlier post, the entropy of a discrete probability distribution is defined to be $$H(p)=H(p\_1,p\_2,\ldots,p\_n)=-\sum\_{i}p\_i \log p\_i.$$ Kullback and Leibler defined a similar measure now known as KL divergence.

A few weeks ago, I introduced my wife to backpacking in the beautiful Grayson Highlands State Park in southestern Virginia.

I’ve been using Bash’s find command a lot more regularly lately.