ReBaz + Carpentries + RSE Conference

Mike's Notes

Plenty of opportunities in NZ to share research and upskill. I need to learn Python, and this might be a way to do so. I previously used Python with ESRI GIS, but that was 15 years ago.

Pipi 10 will have a Python interface.

Resources

• https://resbaz.auckland.ac.nz/
• https://www.hpc-carpentry.org/regions_nz/
• https://datacarpentry.org/
• https://www.rseconference.nz/
• https://sciencenewzealand.org/
• https://www.blog.ajabbi.com/p/pipi.html

References

• Reference

Repository

• Home > Ajabbi Research > Library >
• Home > Handbook > 

Last Updated

24/10/2025

ReBaz + Carpentries + RSE Conference

By: Mike Peters

On a Sandy Beach: 24/10/2025

Mike is the inventor and architect of Pipi and the founder of Ajabbi.

Research Bazaar

"The annual ResBaz (Research Bazaar) event – an amazing free series of online webinars and workshops that bring together researchers from around the country to develop skills in digital tools and research practices."

The next ResBaz Aotearoa 2026: 29 June - 3 July.

The Carpentries

" ..The Carpentries is a non-profit organisation that teaches foundational coding and data science skills to researchers worldwide. There are numerous courses freely available, including an introduction to Python for library and information workers."

HPC Carpentries

"HPC Carpentry teaches HPC-oriented coding, and data science skills to researchers. We want to work towards bringing High Performance Computing under the Carpentries umbrella."

New Zealand Research Software Engineering Conference

"Within the research sector, there is a growing number of people who combine expertise in programming with an intricate understanding of research. Although this combination of skills is extremely valuable, these people lack a formal place in the academic system. This means there is no easy way to recognise their contribution, to reward them, or to represent their views.  

A community-driven event 

In June 2020, NeSI decided to rebrand its successful Science Coding Conference to be named the NZ Research Software Engineers (RSE) Conference. Motivation for the change is two-fold:

• to include people from all research communities who work on the cusp of technical and research domains, and
•  to more fully align with the goals of the Australia / New Zealand RSE community. 

Initiated in the UK, the RSE movement is a global phenomenon with many associations now set up around the world. In line with that global trend, New Zealand’s community of research software users and developers has steadily grown, with more roles and numbers of people at the intersection of software and research." - NZRSE

Unofficial Windows Binaries for Python Extension Packages

Mike's Notes

I did some digging. I found a great list of Unofficial Windows Binaries for Python Extension Packages maintained by Christoph Gohlke, Laboratory for Fluorescence Dynamics, University of California, Irvine. There must be hundreds of binaries listed.

Sad news: Funding for the Laboratory for Fluorescence Dynamics has ceased. This service will be discontinued before July 2022. The referred page has gone.

The good news is that they are now available on his GitHub.

According to a post on Reddit;

• Wheels for Python 3.11 for Windows on ARM64
• Wheels for Python on Windows, linked to oneAPI MKL: numpy+MKL, scipy, etc.
• Geospatial library wheels for Python on Windows: GDAL, rasterio, Fiona, etc.
• Pymol-open-source wheels for Python on Windows
• PyICU, TA-Lib, and python-ldap built on GitHub Actions.

Resources

• https://github.com/cgohlke
• https://www.lfd.uci.edu/~gohlke/
• https://www.cgohlke.com/
• https://www.lfd.uci.edu/
• https://www.uci.edu/
• https://www.reddit.com/r/Python/comments/vcaibq/christoph_gohlkes_windows_wheels_site_is_shutting/
• https://www.reddit.com/r/Python/comments/13sdl53/christoph_gohlkes_precompiled_wheels_now/

References

• Reference

Repository

• Home > Ajabbi Research > Library >
• Home > Handbook > 

Last Updated

11/05/2025

Unofficial Windows Binaries for Python Extension Packages

By: Christoph Gohike

Laboratory for Fluorescence Dynamics: 12/05/2019

He writes ...

"This page provides 32- and 64-bit Windows binaries of many scientific open-source extension packages for the official CPython distribution of the Python programming language. A few binaries are available for the PyPy distribution.

The files are unofficial (meaning: informal, unrecognized, personal, unsupported, no warranty, no liability, provided "as is") and made available for testing and evaluation purposes.

Most binaries are built from source code found on PyPI or in the projects public revision control systems. Source code changes, if any, have been submitted to the project maintainers or are included in the packages.

Refer to the documentation of the individual packages for license restrictions and dependencies.

If downloads fail, reload this page, enable JavaScript, disable download managers, disable proxies, clear cache, use Firefox, reduce number and frequency of downloads. Please only download files manually as needed.

Use pip version 9 or newer to install the downloaded .whl files. This page is not a pip package index.

Many binaries depend on numpy-1.15+mkl and the Microsoft Visual C++ 2008 (x64, x86, and SP1 for Python 2.7) or the Visual C++ 2017 (x64 or x86 for Python 3.x) redistributable packages.

Install numpy+mkl before other packages that depend on it.

The binaries are compatible with the most recent official CPython distributions on Windows >=6.0. Chances are they do not work with custom Python distributions included with Blender, Maya, ArcGIS, OSGeo4W, ABAQUS, Cygwin, Pythonxy, Canopy, EPD, Anaconda, WinPython etc. Many binaries are not compatible with Windows XP or Wine.

The packages are ZIP or 7z files, which allows for manual or scripted installation or repackaging of the content.

The files are provided "as is" without warranty or support of any kind. The entire risk as to the quality and performance is with you.

The opinions or statements expressed on this page should not be taken as a position or endorsement of the Laboratory for Fluorescence Dynamics or the University of California."

Project Jupyter with Brian Granger

Mike's Notes

Project Jupyter looks great. I need to find out more.

Resources

• https://learning.acm.org/techtalks/projectjupyter
• https://learning.acm.org/binaries/content/assets/leaning-center/webinar-slides/2018/briangranger_webinarslides.pdf

References

• Reference

Repository

• Home > Ajabbi Research > Library > Subscriptions > ACM
• Home > Handbook > 

Last Updated

11/05/2025

Project Jupyter: From Computational Notebooks to Large Scale Data Science with Sensitive Data with Brian Granger

By: Brian Granger

ACM: 07/09/2018

Project Jupyter: From Computational Notebooks to Large Scale Data Science with Sensitive Data with Brian Granger. ... from ACM July 2018.

Brian Granger is an Associate Physics and Data Science Professor at Cal Poly State University in San Luis Obispo, CA. USA.

"Project Jupyter is an open-source project that exists to develop software, open standards, and services for interactive and reproducible computing. The main application developed by the project is the Jupyter Notebook, a web-application that allows users to create documents that combine live code with narrative text, mathematical equations, and visualizations. Since its creation in 2011, the Jupyter Notebook has become a widely-used, open standard for developing, sharing, communicating, and reproducing computational work in scientific computing and data science.

In this talk I will give an overview of Project Jupyter and its open-source software and open standards for interactive and exploratory computing. Examples of its usage across a broad range of industries, disciplines and organizations will be used to illustrate the main ideas upon which Jupyter is founded. I will end by sketching our current work on JupyterLab, JupyterHub, and Binder and show how it is leading to 1) new challenges with large scale data science within complex organizations and 2) legal, ethical and technical questions regarding sensitive data."