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  <title>Andrew Carr Data Science with Esoteric Programming Languages</title>
  <link>https://andrewnc.github.io/blog/blog.html</link>
  <description>Exploring data science problems but only using esoteric programming languages.</description>
<item>
<title>Everyday Data Science</title>
<link>https://andrewnc.github.io/blog/everyday_data_science.html</link>
<description>

I finished my book at the beginning of the month. I have had a great time selling and marketing so far. The community reaction has been great. I wrote up a post to give more information about what is in the book, who it was written for, and why I wrote a book in the first place.

</description>
</item>
<item>
<title>Poisson Distribution in Joy</title>
<link>https://andrewnc.github.io/blog/poisson_joy.html</link>
<description>

Want to know how to optimize the number of on-call employees in your business? Come explore the Poisson distribution with the stack based programming language Joy.

</description>
</item>
<item>
<title>Data Normalization in Pointless</title>
<link>https://andrewnc.github.io/blog/normalization_pointless.html</link>
<description>

When feature engineering for a predictive task, or when exploring your data, it is often wise to normalize.

</description>
</item>
<item>
<title>Working with decision makers in Pyth</title>
<link>https://andrewnc.github.io/blog/decision_makers_pyth.html</link>
<description>

As data scientists, we regularly persuade with data. Brevity is an import aspect of persuasive speaking. Pyth is the ultimate brief language.

</description>
</item>
<item>
<title>Dashboarding in Dark and Nim</title>
<link>https://andrewnc.github.io/blog/database_dark_nim.html</link>
<description>

Deployless programming? Automatic updates? Code with the easy of Python and speed of C? In this post we explore building Dashboards in Dark and Nim.

</description>
</item>
<item>
<title>Lyrics bot in V</title>
<link>https://andrewnc.github.io/blog/json_v.html</link>
<description>

V is a fun, fast, efficient language in very early development. It has a lot of promise. In this post we explore JSON and APIs in V

</description>
</item>
<item>
<title>Better A/B testing with Racket</title>
<link>https://andrewnc.github.io/blog/a_b_testing_racket.html</link>
<description>

Racket is a favorite of academics and hackers. In this post we explore reinforcement learning and Bayesian inspired A/B testing with this fun language.

</description>
</item>
<item>
<title>Logistic Regression in Yorick</title>
<link>https://andrewnc.github.io/blog/logistic_regression_yorick.html</link>
<description>

Learn the relation between likelihood, the logistic function, and a dynamically typed array processing language from LLNL

</description>
</item>
<item>
<title>Central Tendency in Brat</title>
<link>https://andrewnc.github.io/blog/central_tendency_brat.html</link>
<description>

How do you know where the center of your data is? What is the difference between mean, median, mode, and more? Brat is a fun little language with a fascinating syntax.

</description>
</item>
<item>
<title>Data Exploration in J</title>
<link>https://andrewnc.github.io/blog/anscombe_j.html</link>
<description>

Getting started in data science? We talk about some common strategies and pitfalls for data exploration in a fun (crazy?) array processing language.

</description>
</item>
<item>
<title>Monte Carlo integration in Hylang</title>
<link>https://andrewnc.github.io/blog/monte_pi_hy.html</link>
<description>

Do you want to calculate pi in a weird way? Love Lisp + Python? In this post we use Hylang and Monte Carlo integration to calculate the value of pi.

</description>
</item>
<item>
<title>Customer Churn in J</title>
<link>https://andrewnc.github.io/blog/customer_churn_j.html</link>
<description>

What makes your customers leave? What makes them stay? How do you tell? We use a fancy array processing language J to answer some of these questions.

</description>
</item>
<item>
<title>First Plot in J</title>
<link>https://andrewnc.github.io/blog/first_plot_j.html</link>
<description>

Time to first plot is a fun metric for new languages (some languages can't even plot at all). We explore plotting in J.

</description>
</item>
<item>
<title>Welcome to the Blog</title>
<link>https://andrewnc.github.io/blog/welcome.html</link>
<description>

</description>
</item>
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