Data Analysis and Visualization in Python

UC Merced

June 17-19, 2020

9:00 am - 12:30 pm

Instructors: Sarvani Chadalapaka, Derek Devnich, Akshay Paropkari, Rhondene Wint

Helpers: Matthias Bussonnier, Erin Mutch, Elizabeth Salmon, Andrea Sánchez-Tapia

General Information

Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. 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 "Good Enough Practices for Scientific Computing".

Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where: Join Zoom Meeting

Meeting ID: 919 8600 1511
Password: python
One tap mobile
+16699006833,,91986001511# US (San Jose)
+13462487799,,91986001511# US (Houston)

When: June 17-19, 2020. Add to your Google Calendar.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).

Accessibility: We are committed to making this workshop accessible to everybody.

Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.

Contact: Please email for more information.

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.

Recording Notice

This workshop is being conducted over Zoom. The instructors will be recording this session. The recording feature for others is disabled so that no one else will be able to record this session through Zoom. No recording by other means is permitted. This session will be posted to a Box folder hosted by UC Merced Library for sharing with workshop instructors, helpers and participants. This recording will not be made publicly available. Recordings will be deleted when no longer necessary. However, the recording may become part of an administrative disciplinary record if misconduct occurs during a videoconference.

If you have privacy concerns and do not wish to appear in the recording, do not turn on your video. If you also prefer to use a pseudonym instead of your name, please let us know what name you will be using so that I know who you are during the session. If you would like to ask a question, you may do so privately through the Zoom chat by addressing your chat question to the workshop host (and not to “everyone”). If you have questions or concerns, please contact Data Curation Services Coordinator Derek Devnich at Pursuant to the terms of the agreement between the vendor and UC Merced, the data is used solely for this purpose and the vendor is prohibited from redisclosing this information. UC Merced does not use the data for any other purpose.

Collaborative Notes

We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.


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

Pre-workshop Survey

Post-workshop Survey




The data files for the workshop can be found here. You should create a folder on your desktop called "Python Carpentry" and create a subfolder called "data" inside it. Unzip the the download and move the files into the "data" subfolder.

The setup instructions for the Data Carpentry Ecology workshops (with Python) can be found at the workshop overview site.

To participate in the Data Carpentry workshop, you will need to install Python and SQLite Browser (we will not be covering spreadsheets or OpenRefine in this session). In addition, you will need an up-to-date web browser.

We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.