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kaypro283/README.md
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Christopher van der Kaay (@kaypro283)


About Me

  • I have a Ph.D. and work in higher education with expertise in statistics
  • Passionate about vintage computers, particualrly the Kaypro and CP/M systems
  • Python enthusiast who also works with R and JavaScript. I also enjoy using "classic" languages like COBOL, FORTRAN, Pascal, and BASIC.
  • Recently been writing MBASIC-80 programs for use on a vintage Kaypro computer

Skills

  • Data Analysis & Statistics
  • Python, R, JavaScript, COBOL, FORTRAN, Pascal
  • UNIX/Linux

Current Projects

  • Developing statistical analysis tools in Python.
  • Restoring vintage computers

I'm currently learning

Machine Learning with Python

How to reach me

LinkedIn: https://www.linkedin.com/in/christopher-van-der-kaay-ph-d-17769259/

Fun fact

My username is inspired by the Kaypro II, a portable computer from the 1980s that I've restored and use for retrocomputing projects!

Popular repositories

  1. SmoothTrend SmoothTrend Public

    SmoothTrend is a comprehensive time series analysis tool that utilizes Holt-Winters, Holt, and Simple Exponential Smoothing methods, as well as ARIMA/SARIMA modeling, to perform advanced trend anal…

    Python

  2. kaypro283 kaypro283 Public

    Config files for my GitHub profile.

  3. BASIC80 BASIC80 Public

    A collection of MBASIC BASIC-80 programs for the Kaypro and other CP/M computers.

    BASIC

  4. bash-scripts bash-scripts Public

    A collection of useful and efficient Bash scripts for various system administration tasks and utilities.

    Shell

  5. kaypro-hurricane-tracker kaypro-hurricane-tracker Public

    A comprehensive Microsoft Basic MBASIC-80 program for tracking and predicting hurricane paths, designed for Kaypro computers. This program combines historical data analysis with advanced forecastin…

    BASIC

  6. document-merger-analyzer document-merger-analyzer Public

    Automate merging of DOC, DOCX, and PDF files with word frequency analysis. Streamlines document consolidation for large-scale projects.

    Python