May 12, 2018 – Node-red and MicroPython esp8266 sensing

10:00am
Q-College
Suite 303 – 771 Vernon Ave, Victoria, BC

Node-RED is a programming tool for wiring together hardware devices, APIs and online services in new and interesting ways.

It provides a browser-based editor that makes it easy to wire together flows using the wide range of nodes in the palette that can be deployed to its runtime in a single-click.

Deid will connect his ESP8266 to nodeRed and show us how easy it is to put sensors online.

See the document here.

May 26, 2018 – R part 2

10:00am
Q-College
Suite 303 – 771 Vernon Ave, Victoria, BC

Two views of Statistical Programming. The second in the series. R is a programming language and free software environment for statistical computing and graphics that is supported by the R Foundation

March 24, 2018 – Jupyter & Python

10:00am
Q-College
Suite 303 – 771 Vernon Ave, Victoria, BC

The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text.

With the success of data science and big data analytics in the last decade, Python has emerged as a major language for data analytics. In 2014, Project Jupyter started as interactive, browser-based platform for data analysis and visualization in Python. Today, Jupyter is a widely adopted framework in industry and academia and has spawned many further applications. I will introduce the Jupyter Universe and discuss Jupyter’s advantages and its shortcomings. Together we will walk through a few of its various capabilities and extensions with Jupyter notebooks available at https://github.com/chritter/Talks/tree/master/VicPiMakers.

Finally I will discuss and demonstrate the rising star of the Jupyter project, Jupyter Lab.

Also, see notes here: http://vicpimakers.ca/tutorials/python-tutorial/the-jupyter-notebook/

March 10, 2018 – Intro 1 to Statistical Computing using R & Python

10:00am
Q-College
Suite 303 – 771 Vernon Ave, Victoria, BC

Two views of Statistical Programming.  Python using Panda & PyNum libraries for statistical computing. And a following meeting,  (28 April) with R  a programming language and free software environment for statistical computing and graphics that is supported by the R FoundationTwo views of Statistical Programming.

See presentation pdf s here.