Chris Conlan

Data Scientist

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Procedurally Generating a Maze in Blender Python

July 23, 2017 By Chris Conlan 1 Comment

Everyone knows I am a fan of Blender Python. It’s really fun. This post will discuss a brief script for procedurally generating a maze in Blender Python. This may be the boilerplate code for a larger routine that produces massive randomly-generated landscapes. In this brief code, we will run into some fairly advanced concepts in […]

Filed Under: 3D Technology and Virtual Reality, Programming with Python

The Best Way to Develop Blender Python Add-ons

June 26, 2017 By Chris Conlan 7 Comments

When I began developing with Blender Python, I used the text editor that was built in to the Blender GUI. I did this for way too long without realizing how inefficient it was. After talking to a few veteran developers, I learned that the best way to develop Blender Python is outside of Blender. Background […]

Filed Under: 3D Technology and Virtual Reality, Programming with Python

Visualizing Data with Blender Python

June 26, 2017 By Chris Conlan 4 Comments

In the past, I have written about the potential for 3D rendering and virtual reality to improve multivariate data visualization. I my new book, The Blender Python API, I have recorded and explained some of the methods I use for multivariate data visualization in Blender. This article is a taste of what can be found […]

Filed Under: 3D Technology and Virtual Reality, Programming with Python

Review: Multiple View Geometry in Computer Vision

June 26, 2017 By Chris Conlan Leave a Comment

When searching for information about computer vision, 3D reconstruction, OpenCV projects, and robotics, this book is always recommended. There is a reason this book is recommended in so many contexts. Multiple View Geometry in Computer Vision (Hartley and Zisserman 2004) is a highly organized foray into computer vision literature. It is an excellent reference text […]

Filed Under: 3D Technology and Virtual Reality, Computer Vision

Installing R and Python in Anaconda for Biologists

June 24, 2017 By Chris Conlan 11 Comments

I live right outside of Washington D.C. I can walk to NIH, and I pass three hospitals on the way to the grocery store. Not surprisingly, I have met a few biologist that needed programming help. After helping a few biologists in completely independent situations, I began to notice a pattern. Researchers have data, can […]

Filed Under: Programming with Python, Programming with R

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Pulling All Sorts of Financial Data in Python [Updated for 2021]

Calculating Triple Barrier Labels from Advances in Financial Machine Learning

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