Lesson 5 PowerPoint (and PDF) files developed by ENGR-1330 team for Lesson

Laboratory 5 JupyterLab ( as .ipynb and .html) files developed from original source files. This collection has three .png files and one .py dependency
Hence you should download the following to complete the lab:

Lab5-FullNarrative.ipynb

base-functions.png

external-file-import.png

flow-control-diagram.png

mylibrary.py

You can also download and use Lab-5-WorksheetOnly, which has a lot of the narrative, and most examples excluded.

Laboratory 5 as html Choose this to look at the rendered full-narrative worksheet, mindful that the equations may not typeset correctly

Solution Sketch Choose this to look at a completed worksheet, mindful that the equations may not typeset correctly

Lesson 5 A tour of this website

Laboratory 5 A tour of this website

Install Anaconda macOS Video showing install onto a bare-iron Catalina implementation. (Recorded 19 June 2020)

Install Anaconda macOS Video showing install onto a High Sierra/Mojave implementation

Install Anaconda win10 Video showing install onto a Winders 10 Build 1380? implementation

Install Anaconda Linux Ubuntu Unbuntu install, using default (Gnome?) GUI. FYI the installer instructions for most Linux distros are not exact. You will need workarounds, usually a path setting or and environment variable needs reset. Remember "free" means "yoyo"

SharePYTHON Environment The vnc#007 shared python environment; remember to disconnect before closing the browser!

Reading Collection Local to thi s erver

Computational and Inferential Thinking Ani Adhikari and John DeNero, Computational and Inferential Thinking, The Foundations of Data Science, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND)

Functions (Built-in); Functions (User-built) prototype functions for program clarity