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  1. Introduction to D3.js

  2. Around a year ago, I built a compiler frontend for Chocopy, a subset of Python 3.6 with mandatory type annotations.

  3. Rewriting a Project in ReScript

    This blog post describes my experience incrementally rewriting a small project in ReScript.

  4. Elevation Contour Plots With D3

    Creating contour plots of elevation and topography in D3 is challenging due to the availability and format of the data.

  5. This post is intended to be a supplement for the 2014 Polyglot tutorial.

  6. [Recipe] Impossible Bolognese

    Over the last few years I’ve had Impossible burgers a couple of times, and I generally wasn’t impressed - while it did taste like a real burger, it tasted like a low quality one, yet it cost like 3 times as much (at least at Cornell’s dining halls).

  7. Say you want to create a new programming language, and you want it to have garbage collection, advanced object-oriented features, etc. but don’t want to go through the trouble of implementing those features in your compiler from scratch.

  8. A while back, I thought about trying to hack around with various languages and compilers for fun/practice.

  9. In this tutorial, we will be using Vega to make an interactive map that displays COVID-19 data for each state in the US.

  10. Building a Course Recommender System

    During my last semester at Cornell, I worked with my peers on Cornell Data Science to build a course visualization/recommender system.

  11. [Recipe] Pan-Fried Pork Chops

    A quick and easy pork chop recipe.

  12. Folsom Biking Trails

    Due to the coronavirus lockdown ruining all my spring 2020 travel plans, I’ve been biking a lot and enjoying the beautiful weather and scenery in Folsom.

  13. As a challenge for myself, I decided to recreate one of my all-time favorite visualizations: Five Years of Drought by John Nelson.

  14. [Recipe] Mapo Tofu ⏱️

    This is a nice and easy recipe for mapo tofu using premade sauce, excellent for winter.

  15. [Recipe] Pork Belly Noodles ⏱️

    This is one of my favorite ways to have noodles with soup.

  16. Scrutinizing Datasets

    One of the biggest challenges for people new to data science is finding the right dataset to use.

  17. [Recipe] Beef Bulgogi

    This is my version of bulgogi, it’s relatively quick to make and goes well with white rice.

  18. [Recipe] Tomato and Egg ⏱️

    I decided that it would be a good idea to start writing down recipes for foods that I like to cook and eat, and today we’ll start off with something simple: Tomato and Egg.

  19. Inspired by a recent Reddit post about visualizing building ages in Amsterdam, I decided to try my hand at creating this style of map using D3.js.

  20. This post is a collection of common problems people will encounter while making maps using D3, and my advice for how to deal with them.

  21. Just a table comparing these two popular noise-canceling headphones.

  22. Part 1 of this blog post series Now that the last compilers project is finished, it’s appropriate for me to write the second part of my reflection on this course.

  23. During evaluation of lambda calculus, we often need to perform substitutions of variables or expressions.

  24. How MOSS Works

    MOSS (Measure of Software Similarity) is a very effective plagiarism detection system that is commonly used by computer science professors across the country.

  25. A Week in Paris

    My trip this past spring break to Paris was my first time visiting Europe, and it was full of exciting and thought-provoking moments.

  26. Programming languages is a field that I’ve been interested in ever since I took my first PL course (CS 4110) last semester.

  27. D3 Spider Chart Tutorial

    The importance of data visualization is rapidly growing in today’s data-rich world, and web-based interactive visualizations such as those on New York Times or FiveThirtyEight can engage and inform a wide audience.

  28. How Perceptrons Work

    Due to the recent surge in popularity of machine learning, many people have become interested in learning about how these algorithms work, either to understand how they can be applied to their businesses, or just out of curiosity.