- Open https://www.anaconda.com/download/#windows with your web browser.
- Download the Python 3 installer for Windows.
- Install Python 3 using all of the defaults for installation except make sure to check Add Anaconda to my PATH environment variable.
Aug 15-16, 2019
9:00 am - 4:30 pm
Instructors: Amanda Devine, Jen Hammock, Mirian Tsuchiya, Mike Trizna
Helpers: Carrie Craig, Jesse Johnston, Alex Robillard
Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers and others who create, manage, and use data who have little to no prior computational experience. Its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research and daily work. 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 workshop is for Smithsonian badge holders at any SI Unit working with research and collections data.
Learners do not need to have any previous knowledge of the tools that will be presented at the workshop.
Where: 1000 Jefferson Dr SW, Washington, DC 20560. Get directions with OpenStreetMap or Google Maps.
When: Aug 15-16, 2019. Add to your Google Calendar. Add to your Outlook 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. This computer must be able to connect to the Smithsonian's SI-Staff wifi network which requires an SI network account. They should have a few specific software packages installed (listed below). We will hold a special pre-workshop installation help session for registrants with installation issues.
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.
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:
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 si-datascience@si.edu for more information.
This workshop has unfortunately sold out. You can join the Waitlist by clicking the “Join Waitlist” button below.
You can also go to https://datascience.si.edu/carpentries
and click the “Sign up for the Carpentries-announce mailing list” button to be alerted when future Smithsonian Carpentries
workshops are announced.
Please be sure to complete these surveys before and after the workshop.
| Before starting | Pre-workshop survey |
| Morning | Data organization in spreadsheets |
| OpenRefine for data cleaning | |
| Afternoon | Introduction to Python and Jupyter Notebooks |
| Evening | END |
| Morning | Continuation of Python: data analysis & visualization |
| Afternoon | Data management with SQL |
| Evening | Post-workshop survey |
| END |
To participate in a Data Carpentry workshop, you will need access to the software described below. 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. We will hold a special pre-workshop installation help session for registrants with installation issues.
Python is a popular language for research computing, and great for general-purpose programming as well. Installing all of its research packages individually can be a bit difficult, so we recommend Anaconda, an all-in-one installer.
Regardless of how you choose to install it, please make sure you install Python version 3.x (e.g., 3.6 is fine).
We will teach Python using the Jupyter notebook, a programming environment that runs in a web browser. 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).
bash Anaconda3-and then press Tab. The name of the file you just downloaded should appear. If it does not, navigate to the folder where you downloaded the file, for example with:
cd DownloadsThen, try again.
yes and
press enter to approve the license. Press enter to approve the
default location for the files. Type yes and
press enter to prepend Anaconda to your PATH
(this makes the Anaconda distribution the default Python).
SQL is a specialized programming language used with databases. We use a simple database manager called SQLite in our lessons.
Visit SqliteBrowser and download and install it. Version 3.11.0 or greater.
Visit SqliteBrowser and download and install it. Version 3.11.0 or greater.
Visit SqliteBrowser and download and install it. Version 3.11.0 or greater.
If you installed Anaconda, it also has a copy of SQLite
without support to readline.
Instructors will provide a workaround for it if needed.
For this lesson you will need OpenRefine and a web browser. Note: this is a Java program that runs on your machine (not in the cloud). It runs inside a web browser, but no web connection is needed.
Check that you have either the Firefox or the Chrome browser installed and set as your default browser. OpenRefine runs in your default browser. It will not run correctly in Internet Explorer.
Download software from http://openrefine.org/
Create a new directory called OpenRefine.
Unzip the downloaded file into the OpenRefine directory by right-clicking and selecting "Extract ...".
Go to your newly created OpenRefine directory.
Launch OpenRefine by clicking openrefine.exe (this will launch a command prompt window, but you can ignore that - just wait for OpenRefine to open in the browser).
If you are using a different browser, or if OpenRefine does not automatically open for you, point your browser at http://127.0.0.1:3333/ or http://localhost:3333 to use the program.
Check that you have either the Firefox or the Chrome browser installed and set as your default browser. OpenRefine runs in your default browser. It may not run correctly in Safari.
Download software from http://openrefine.org/.
Create a new directory called OpenRefine.
Unzip the downloaded file into the OpenRefine directory by double-clicking it.
Go to your newly created OpenRefine directory.
Launch OpenRefine by dragging the icon into the Applications folder.
Use Ctrl-click/Open ... to launch it.
If you are using a different browser, or if OpenRefine does not automatically open for you, point your browser at http://127.0.0.1:3333/ or http://localhost:3333 to use the program.
Check that you have either the Firefox or the Chrome browser installed and set as your default browser. OpenRefine runs in your default browser.
Download software from http://openrefine.org/.
Make a directory called OpenRefine.
Unzip the downloaded file into the OpenRefine directory.
Go to your newly created OpenRefine directory.
Launch OpenRefine by entering ./refine into the terminal within the OpenRefine directory.
If you are using a different browser, or if OpenRefine does not automatically open for you, point your browser at http://127.0.0.1:3333/ or http://localhost:3333 to use the program.