Nov 12 & 13, 2020
12:00 pm - 3:30 pm CST
Instructors: Kathy Yeater
Helpers: Henry Qu, Kip Balkcom, Rodrigo Goncalves Trevisan
Welcome to the Intro to Python Workshop page! This workshop is being offered in conjunction with the 2020 ASA-CCSA-SSSA Annual Meeting. All registered attendees have been notified and are provided access to these setup materials for the workshop. Prior to the workshop, it is very important to perform the Python install (See Python Install Instructions in the Setup instructions below or find them here on the Setup Page (https://datacarpentry.org/ecology-workshop/setup-python-workshop.html) as well as download all data files (See Setup Page and download Zip file under Data description). Administrative rights will most likely be required for the Python install, so please plan accordingly. An optional Python BBQ Installation Open House will be offered via Zoom on Thursday Nov. 5, 2020 Noon - 2pm CDT for anyone who wants to drop-in and make sure things are working as planned. (Zoom Meeting invites will be sent at a later date).
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.
The course is aimed at graduate students, post docs, academic, government and industry researchers.
Where: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.
When: Nov 12 & 13, 2020. Add to your Google Calendar.
Requirements: Participants will be provided with Zoom link and password prior to workshop. Participants should work on examples and instructional material during the workshop with either Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.), that they have administrative privileges on. Use of two monitors is encouraged if available to the participant. They should have the Python software package installed prior to the workshop (listed below).
Accessibility: We are dedicated to providing a positive and accessible learning environment for all. Please notify the instructors in advance of the workshop if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.
Contact: Please email firstname.lastname@example.org for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
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.
Please be sure to complete these surveys before and after the workshop.
|Nov. 13||Continuation of Python: Data analysis and Visualization|
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.
If you haven't used Zoom before, go to the official website to download and install the Zoom client for your computer.
Like other Carpentries workshops, you will be learning by "coding along" with the Instructors. To do this, you will need to have both the window for the tool you will be learning about (a terminal, RStudio, your web browser, etc..) and the window for the Zoom video conference client open. In order to see both at once, we recommend using one of the following set up options:
The setup instructions for the Data Carpentry Ecology workshops (with Python) can be found at the workshop overview site.