RIOT Robotics - Python 3 Bootcamp

Table of Contents

• About the Project

  • Introduction

• Getting Started

  • Prerequisites
  • Installation

• Usage

• Acknowledgements

About the Project

Introduction

This repository contains the Python 3's Jupyter Notebook created during RIOT Robotics' Python 3 Bootcamp / Workshop. The contents of this notebook range from the very basics to the somwhat moderate or obscure topics of Python 3; as such, it is divided into two (2) parts, namely: a learning segment and a excercises segment.

It is noteworthy to state that there are two (2) ways to see the contents of the .ipynb, one of which requires a series of dependencies to be installed to a computer and another which requires ONLY internet connection. See Usage section!

Getting Started

Prerequisites

This notebook was created in Micrsoft's Visual Studio Code with its Jupyter Extensions; these being: Jupyter, Jupyter Cell Tags, Jupyter Keymap and Jupyter Slideshow. In addition, Python 3 was used and it can be downloaded from here. There version which was used was Python 3.10.5.

Installation

Start Visual Studio Code and install the aformentioned extensions. In addition, it is recomended to create a Python 3 Virtual Enviroment by typing in Visual Studio's Terminal the following:

python -m venv venv
venv/Scripts/activate

After the creation of the virtual enviroment, the following preqrequisites can be installed:

• asttokens==2.2.1
• backcall==0.2.0
• colorama==0.4.6
• comm==0.1.3
• debugpy==1.6.7
• decorator==5.1.1
• executing==1.2.0
• ipykernel==6.23.2
• ipython==8.14.0
• jedi==0.18.2
• jupyter_client==8.2.0
• jupyter_core==5.3.1
• matplotlib-inline==0.1.6
• nest-asyncio==1.5.6
• numpy==1.25.0
• packaging==23.1
• parso==0.8.3
• pickleshare==0.7.5
• platformdirs==3.7.0
• prompt-toolkit==3.0.38
• psutil==5.9.5
• pure-eval==0.2.2
• Pygments==2.15.1
• python-dateutil==2.8.2
• pywin32==306
• pyzmq==25.1.0
• six==1.16.0
• stack-data==0.6.2
• tornado==6.3.2
• traitlets==5.9.0
• wcwidth==0.2.6

All of this can be installed with:

pip install -r requirements.txt

It should be noted that the notebook was ran in Windows.

Usage

There are various ways to use to use this software. Two of which are as follows:

1. Option 1: Run the notebook via Visual Studio Code.
2. Option 2: Copy this URL link from the repostory, i.e.: https://github.com/Sergeant-Potato/Python-3_Bootcamp/blob/main/src/Python%20Bootcamp.ipynb, go to NBVIEWER.ORG, and paste the link on the page's search bar.

Now matter the method the used, this should be the output, as shown via NBVIEWER.ORG:

Acknowledgements

• Polytechnic University of Puerto Rico RIOT Robotics Student Organization
• Fast Inverse Square Root - Wikipedia