Carpentries Bootcamp: Intro to Python

Date: December 18 - 20, 2023

Time: 9:00am - 12:00pm PT

Venue: UC San Diego

Instructors: TBD

Helpers: TBD


Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools used with the Python programming language and version control with Git. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

For more information on what we teach and why, please see our paper "Best Practices for Scientific Computing".

Who: This workshop is open to UCSD students, staff, and faculty.

You don't need to have any previous knowledge of programming or the tools presented in the workshop to attend. A laptop is required for each session.

Where: Virtual (via Zoom).

Requirements: Participants must bring a laptop with a few specific software packages installed (listed below).

Contact: Please mail carpentries@ucsd.edu for more information.

Assessment: A Co-Curricular of Record activity recognition may be requested for the student who:

For more information on the UC San Diego Co-Curricular of Record (CCR), please visit the UCSD Engaged Learning Tools Co-Curricular Record page.


Code of Conduct

Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.


Surveys

Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey


Schedule

Date Session Topics
Dec. 18thIntroduction to Python - Session 1 Jupyter Notebook - Running/Wuitting, Variables and Assignment, Data Types/Type Conversions, Built-in Functions, and Help
Dec. 19thIntroduction to Python - Session 2 Libraries, Writing Functions, Reading/Writing data in Dataframes, and Pandas Dataframes
Dec. 20thIntroduction to Python - Session 3 Plotting, Lists, For Loops, Looping over Datasets, and Conditionals

Curriculum

For this workshop we will be referencing the Plotting and Programming in Python Carpentries curriculum.


Data

We will be using the gapminder data found on the Summary and Setup page. Please download the both data prior to start of first session.


Collaborative Notes

We will use HackMD collaborative notes for taking notes, and sharing URLs and bits of code. Please use the following link to access the collaborative notes: pending.


Setup

To participate in this workshop, you will need access to the software described below. In addition, you will need an up-to-date web browser.

Python

We will teach Python using the Jupyter Notebook, a programming environment that runs in a web browser (Jupyter Notebook will be installed by Anaconda). For this to work you will need a reasonably up-to-date browser. The current versions of the Chrome, Safari and Firefox browsers are all supported (some older browsers, including Internet Explorer version 9 and below, are not).

  1. Open https://www.anaconda.com/products/individual#download-section with your web browser.
  2. Download the Anaconda for Windows installer with Python 3. (If you are not sure which version to choose, you probably want the 64-bit Graphical Installer Anaconda3-...-Windows-x86_64.exe)
  3. Install Python 3 by running the Anaconda Installer, using all of the defaults for installation except make sure to check Add Anaconda to my PATH environment variable.

Video Tutorial: SWC Install Python on Windows

  1. Open https://www.anaconda.com/products/individual#download-section with your web browser.
  2. Download the Anaconda Installer with Python 3 for macOS (you can either use the Graphical or the Command Line Installer).
  3. Install Python 3 by running the Anaconda Installer using all of the defaults for installation.

Video Tutorial: SWC Install Python on Mac

  1. Open https://www.anaconda.com/products/individual#download-section with your web browser.
  2. Download the Anaconda Installer with Python 3 for Linux.
    (The installation requires using the shell. If you aren't comfortable doing the installation yourself stop here and request help at the workshop.)
  3. Open a terminal window and navigate to the directory where the executable is downloaded (e.g., `cd ~/Downloads`).
  4. Type
    bash Anaconda3-
    and then press Tab to autocomplete the full file name. The name of file you just downloaded should appear.
  5. Press Enter (or Return depending on your keyboard). You will follow the text-only prompts. To move through the text, press Spacebar. Type yes and press enter to approve the license. Press Enter (or Return) to approve the default location for the files. Type yes and press Enter (or Return) to prepend Anaconda to your PATH (this makes the Anaconda distribution the default Python).
  6. Close the terminal window.