Labs

Lab 2

I installed minicom and have it working

Lab 3

I installed the latest version of Python (Python 3.10.0). The PI originally comes with two version of python, a version2 version and a version3 version. I now have the latest version in addition to the two versions that came with the Raspbian software. I looked at the several functions provided in Python and although I do not have experience coding with Python, I understand how the functions work.

Lab 4

Lab 4 Part A

As seen in the image I have successfully installed Django and restframeworkonto the pi

djANGO Projects:

Stevens Project:

Django Rest: MyCPU

MyRaspi

Flask: Alexa Memory game

I ran into several issues while attempting this lab. After I was able to get the project together and build it successfully, however, it was telling me "There was a problem with the requested skill's response." After searching up the issue, I was able to trouble shoot by having Alexa open up the game and then running the command, which then I was able to play successfully.

Lab 5

Lab 5 A: Crossbar.io

Lab 5B: Paho

Lab 6

Lab 6A: Node.js

Shown below is the node-red server when first entering it

hello.js running:

Shown is http.js running

Lab 6B: Pystache

Lab 7

LAB 7A: As seen, I have set up a ThingSpeak account and set up the channel and set up the API key

Lab 7B: Google Sheets

It can be seen that the program is now working properly. I had to reinstall the OS on my Pi again as the OS was too new and did was not functional for this lab.

LAB 8

Lab 8A: Examples

As seen, some of the array math done using Git Bash

Image generated after running pyplot_formatstr.py

Figure generated after running pyplot_two_subplots.py

Titanic1 example being run

Lab 8B: Data Analysis

As seen below is the rpidata.csv being ran and generating figures using the data from Lab 7B in plt_final.py

As seen below is the rpidata.csv being ran and generating figures using the data from Lab 7B in plt_cv2.py

Lab 9

Lab 9A: YANG

Pinta:

Gimp:

Lab 10

Lab 10A: Blockchain

Hash function with randomization:

Below Snakecoin can be seen compiled and ran.

It can be seen below that the snakecoin server was ran successfully.

Lab 10B: PyOTA

LAB 10C: IOTA DevNet

mam_publish and mam_receive can be seen running below

The inputs for the pinouts for the Pi to read the sensor were changed, but as can be seen, I do not have the sensor, so I am unable to complete this task, however, I edited the sensor.js file as if the sensor was connected.

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