I’d like to give a big “thanks” to Alteryx and DataMeaning for hosting Big Data & Self-Service Analytics at the Jack Rose Saloon in Washington D.C. I met a lot of great professionals, and learned a ton about the rise of self-service analytics. Before discussing the partnership, I would like to share some of my […]
Introducing Conlan Scientific
I am proud to announce the launch of the new Conlan Scientific website at conlan.io. This site will support the consulting, contracting, and staffing operations of Conlan Scientific. I’m Not Going Anywhere chrisconlan.com will continue to host educational posts and books for programmers and researchers. Some Recent Posts… The New Team Eric Scheier – Quantitative […]
The Best Language for XYZ: Answered Empirically
One of the biggest jobs of CTOs and Technical Project Managers is to answer: What is the best software stack for building XYZ? On the web… Internet forums like Quora and Stack Overflow are littered with these kinds of questions. This is understandable, because committing to the wrong software stack can be deadly in the […]
Download Historical Stock Data with R and Python
Update #2: Track this Issue Here Updates to this post are more about which API’s are still supported than how to access them with R, Python, or any other language. Follow the hilarious change history of EOD stock data API’s at my other post: https://chrisconlan.com/download-daily-data-every-sp-500-stock-r/. Update: Using Quandl’s API Because everything I write about breaks, […]
Procedurally Generating a Maze in Blender Python
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 […]
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