Skip to content

Commit 1bb6dfd

Browse files
committed
update w26 workshops
1 parent 2618d69 commit 1bb6dfd

4 files changed

Lines changed: 42 additions & 12 deletions

File tree

_posts/2026-01-05-ucsb-geospatial.md

Lines changed: 15 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -5,12 +5,24 @@ title: "Geospatial Data Carpentry for Urbanism using R"
55
time: 9:30am - 12:00pm PST
66
human_date: "January 5, 6, 8, and 9"
77
year: 2026
8-
location: Hybrid (Zoom + UCSB Library)
9-
instructors: Jon Jablonski
10-
helpers:
8+
location: Hybrid (Zoom + UCSB Library Room 2509)
9+
instructors: Jon Jablonski, Arieanna Balbar, Jose Niño Muriel
10+
helpers: David Moles
1111
shoreline_url: "https://cglink.me/2dD/r2269687"
1212
lesson_url: "https://carpentries-incubator.github.io/r-geospatial-urban/index.html"
1313
jupyter_url: "https://carpentryworkshop.lsit.ucsb.edu/"
1414
pre_workshop_survey: "https://ucsb.co1.qualtrics.com/jfe/form/SV_bJeIoxjp1A9Xx3M?slug=2026-01-05-ucsb-geospatial"
1515
post_workshop_survey: "https://ucsb.co1.qualtrics.com/jfe/form/SV_0lD2XHnezknmSr4?slug=2026-01-05-ucsb-geospatial"
16+
description: "Join us on this four-day workshop that covers everything from intro to R and geospatial concepts, to working with raster and vector data and performing common GIS operations.
17+
<br>
18+
This is a recently developed lesson by our Dutch colleagues, and we will be helping them improve it!
19+
<br>
20+
Complete workshop content, day by day:
21+
<ul>
22+
<li>Day 1: Intro to R and RStudio</li>
23+
<li>Day 2: Intro to Geospatial concepts and vector data</li>
24+
<li>Day 3: Raster data</li>
25+
<li>Day 4: Practical GIS operations and using OpenStreetMap data</li>
26+
</ul>
27+
"
1628
---

_posts/2026-01-14-ucsb-r.md

Lines changed: 10 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -5,12 +5,21 @@ title: "Introduction to Data Analysis with R"
55
time: 4:00 PM - 6:30 PM PST
66
human_date: "January 14 and 15"
77
year: 2025
8-
location:
8+
location: UCSB Library, Room 2509
99
instructors:
1010
helpers:
1111
pre_workshop_survey: "https://ucsb.co1.qualtrics.com/jfe/form/SV_bJeIoxjp1A9Xx3M?slug=2026-01-14-ucsb-r"
1212
post_workshop_survey: "https://ucsb.co1.qualtrics.com/jfe/form/SV_0lD2XHnezknmSr4?slug=2026-01-14-ucsb-r"
1313
shoreline_url:
1414
lesson_url: "https://ucsbcarpentry.github.io/R-ecology-lesson-2024-10-08/"
1515
jupyter_url: "https://carpentryworkshop.lsit.ucsb.edu/"
16+
description: "
17+
Start your data journey here! Designed for absolute beginners, this workshop covers the essentials of R and RStudio. Learn to import data, create stunning plots with ggplot, and streamline your analysis workflow using the Tidyverse.
18+
<br><br>
19+
Complete workshop content, day by day:
20+
<ul>
21+
<li>Day 1: Intro to R and RStudio, data visualization with ggplot.</li>
22+
<li>Day 2: Exploring a data.frame; manipulate, summarize, and reshape data frames.</li>
23+
<ul>
24+
"
1625
---

_posts/2026-01-27-ucsb-webscraping.md

Lines changed: 14 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -5,15 +5,24 @@ title: "Web Scraping with Python"
55
time: 10 am - 12:00 PST
66
human_date: "January 27 and 29"
77
year: 2025
8-
location:
9-
instructors:
10-
helpers:
8+
location: UCSB Library
9+
instructors: Jose Nino Muriel, Jairo Melo-Flórez, Julien Brun
10+
helpers: Jean Allen, Youjia He
1111
pre_workshop_survey: "https://ucsb.co1.qualtrics.com/jfe/form/SV_bJeIoxjp1A9Xx3M?slug=2026-01-27-ucsb-webscraping"
1212
post_workshop_survey: "https://ucsb.co1.qualtrics.com/jfe/form/SV_0lD2XHnezknmSr4?slug=2026-01-27-ucsb-webscraping"
1313
shoreline_url:
1414
lesson_url: "https://carpentries-incubator.github.io/web-scraping-python/index.html"
1515
jupyter_url: "https://carpentryworkshop.lsit.ucsb.edu/"
16-
description: "Learn how to extract data from websites in this two-day workshop on web scraping with Python. We’ll begin by reviewing the structure of websites in HTML and how to retrieve information using your browser, the Requests library, and Beautiful Soup. You’ll also learn about the differences between static and dynamic web pages, and how to scrape the latter with the Selenium library. <b>This workshop is designed for participants who already have a basic understanding of Python programming.</B>
16+
description: "Stay tuned, <b>registration opens on January 5!</b> Join our <a href='http://groups.google.com/a/library.ucsb.edu/g/carpentry/about'>Carpentry mailing list</a> with your UCSB email to get notified as soon as it goes live.
1717
<br><br>
18-
Stay tuned, <b>registration opens on January 5!</b> Join our <a href='http://groups.google.com/a/library.ucsb.edu/g/carpentry/about'>Carpentry mailing list</a> with your UCSB email to get notified as soon as it goes live."
18+
Turn websites into usable data. In this intermediate workshop, you will master web scraping using Python's Requests, Beautiful Soup, and Selenium. Learn to read and navigate the backbone of a website (its HTML content) and automate data extraction from both static and dynamic web pages.
19+
<br><br>
20+
Designed for participants with basic knowledge of Python programming.
21+
<br><br>
22+
Complete workshop content, day by day:
23+
<ul>
24+
<li>Day 1: Exploring an HTML document and parsing its content with BeautifulSoup.</li>
25+
<li>Day 2: Automating data collection and scrapping dynamic websites.</li>
26+
<ul>
27+
"
1928
---

_posts/2026-02-02-ucsb-ml.md

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -5,9 +5,9 @@ title: "Introduction to Machine Learning in Python"
55
time: 10 am - 12:00 PST
66
human_date: "Week 5 or 6 (TBD)"
77
year: 2025
8-
location:
9-
instructors:
10-
helpers:
8+
location: UCSB Library
9+
instructors: Tian Qui, Jose Nino Muriel
10+
helpers: Arieanna Balbar, Netasha Pizano
1111
pre_workshop_survey: "https://ucsb.co1.qualtrics.com/jfe/form/SV_bJeIoxjp1A9Xx3M?slug=2026-02-02-ucsb-ml"
1212
post_workshop_survey: "https://ucsb.co1.qualtrics.com/jfe/form/SV_0lD2XHnezknmSr4?slug=2026-02-02-ucsb-ml"
1313
shoreline_url:

0 commit comments

Comments
 (0)