add more links

_site/index.html

@@ -222,7 +222,7 @@ <h1 class="title">posit::conf(2024) workshops</h1>
 </tr>
 </thead>
 <tbody class="list">
-<tr data-index="0" data-categories="tidymodels,modeling,regression,classification" data-listing-date-sort="1723435200000" data-listing-file-modified-sort="1711944804602" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="5" data-listing-word-count-sort="859" data-listing-title-sort="Advanced Tidymodels" data-listing-filename-sort="tidymodels_advanced.qmd">
+<tr data-index="0" data-categories="tidymodels,modeling,regression,classification" data-listing-date-sort="1723435200000" data-listing-file-modified-sort="1724265265916" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="5" data-listing-word-count-sort="959" data-listing-title-sort="Advanced Tidymodels" data-listing-filename-sort="tidymodels_advanced.qmd">
 <td>
 <a href="./workshops/tidymodels_advanced.html" class="title listing-title">Advanced Tidymodels</a>
 </td>
@@ -233,7 +233,7 @@ <h1 class="title">posit::conf(2024) workshops</h1>
 <span class="listing-description">An advanced class to learn how to use tidymodels to optimize different models, conduct feature engineering, and other activities. </span>
 </td>
 <td>
-<span class="listing-subtitle">&nbsp;</span>
+<span class="listing-subtitle"><a href="https://github.com/posit-conf-2024/tidymodels-advanced">https://github.com/posit-conf-2024/tidymodels-advanced</a></span>
 </td>
 </tr>
 <tr data-index="1" data-categories="R,Arrow,Data Engineering" data-listing-date-sort="1723435200000" data-listing-file-modified-sort="1724264806117" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="4" data-listing-word-count-sort="788" data-listing-title-sort="Big Data in R with Arrow" data-listing-filename-sort="arrow.qmd">
@@ -502,7 +502,7 @@ <h1 class="title">posit::conf(2024) workshops</h1>
 <span class="listing-subtitle"><a href="https://posit-conf-2024.github.io/level-up-shiny/">https://posit-conf-2024.github.io/level-up-shiny</a></span>
 </td>
 </tr>
-<tr data-index="20" data-categories="R,Python,Quarto" data-listing-date-sort="1723435200000" data-listing-file-modified-sort="1711944804602" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="6" data-listing-word-count-sort="1011" data-listing-title-sort="Making Tables with gt and Great Tables" data-listing-filename-sort="tables.qmd">
+<tr data-index="20" data-categories="R,Python,Quarto" data-listing-date-sort="1723435200000" data-listing-file-modified-sort="1724265334347" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="5" data-listing-word-count-sort="993" data-listing-title-sort="Making Tables with gt and Great Tables" data-listing-filename-sort="tables.qmd">
 <td>
 <a href="./workshops/tables.html" class="title listing-title">Making Tables with gt and Great Tables</a>
 </td>
@@ -513,7 +513,7 @@ <h1 class="title">posit::conf(2024) workshops</h1>
 <span class="listing-description">Create publication-quality tables with gt and Great Tables. For R and Python users. </span>
 </td>
 <td>
-<span class="listing-subtitle">&nbsp;</span>
+<span class="listing-subtitle"><a href="https://github.com/posit-conf-2024/tables">https://github.com/posit-conf-2024/tables</a></span>
 </td>
 </tr>
 <tr data-index="21" data-categories="R,package development" data-listing-date-sort="1723435200000" data-listing-file-modified-sort="1724264587576" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="5" data-listing-word-count-sort="854" data-listing-title-sort="Package Development: The Rest of the Owl" data-listing-filename-sort="pkg_dev.qmd">

_site/search.json

@@ -4,7 +4,7 @@
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     "title": "posit::conf(2024) workshops",
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-    "text": "Order By\n       Default\n         \n          Title\n        \n         \n          Instructor(s)\n        \n     \n  \n    \n      \n      \n    \n\n\n\n\n\nTitle\n\n\nInstructor(s)\n\n\nDescription\n\n\nSubtitle\n\n\n\n\n\n\nAdvanced Tidymodels\n\n\nMax Kuhn\n\n\nAn advanced class to learn how to use tidymodels to optimize different models, conduct feature engineering, and other activities. \n\n\n \n\n\n\n\nBig Data in R with Arrow\n\n\nNic Crane, Steph Hazlitt\n\n\nAn introduction to Apache Arrow for creating efficient analysis pipelines with larger-than-memory data in R. \n\n\nhttps://posit-conf-2024.github.io/arrow\n\n\n\n\nBuild-a-Dashboard Workshop (with Quarto, R and/or Python)\n\n\nMine Çetinkaya-Rundel\n\n\nCreate sleek, elegant, and eye-catching dashboards with static and/or interactive elements with Quarto. For R and Python users. \n\n\nhttps://github.com/posit-conf-2024/quarto-dashboards\n\n\n\n\nCausal Inference in R\n\n\nMalcolm Barrett, Travis Gerke\n\n\nLearn to answer causal questions with causal diagrams, propensity score modeling, and more. \n\n\nhttps://r-causal.github.io/causal_workshop_website\n\n\n\n\nData Science Workflows with Posit Tools — Python Focus\n\n\nSam Edwardes, Gagandeep Singh\n\n\nBuild an opinionated and Pythonic data science workflow using Posit’s professional products and open-source tools. \n\n\nhttps://ferryland.posit.team\n\n\n\n\nData Science Workflows with Posit Tools — R Focus\n\n\nRyan Johnson, Katie Masiello\n\n\nUse open source packages and Posit’s professional tools — Workbench, Connect, and Package Manager — to improve your end-to-end data science workflows. \n\n\nhttps://github.com/posit-conf-2024/ds-workflows-r\n\n\n\n\nDatabases with R\n\n\nKirill Müller\n\n\nAn introduction to databases and DuckDB with R. \n\n\nhttps://github.com/posit-conf-2024/databases\n\n\n\n\nDevOps for Data Scientists\n\n\nRika Gorn\n\n\nThis workshop is intended for data scientists who wish to learn more about the basic principles and tools of DevOps and to get hands-on experience putting DevOps workflows into production. \n\n\nhttps://github.com/posit-conf-2024/dev-ops\n\n\n\n\nEffective data visualization with ggplot2\n\n\nClaus O. Wilke\n\n\nLevel up your figure design skills with advanced tips and tricks for ggplot2 and with fundamental principles of visual communication. \n\n\nhttps://github.com/posit-conf-2024/dataviz-r\n\n\n\n\nFlavors of the pharmaverse\n\n\nDaniel D. Sjoberg, Becca Krouse, Ellis Hughes, Andrew Bates, Casey Aguilar-Gervase\n\n\nHigh level overview of the scope and tools available within the pharmaverse for the clinical pipeline, including tools for ADaM data set curation, creating Analysis Results Data Sets, and TLGs. \n\n\nhttps://posit-conf-2024.github.io/pharmaverse/\n\n\n\n\nFrom R User to R Programmer\n\n\nEmma Rand, Ian Lyttle\n\n\nImprove your R programming skills and reduce the amount of duplication in your code. \n\n\nhttps://github.com/posit-conf-2024/programming-r\n\n\n\n\nIntro to MLOps with vetiver\n\n\nIsabel Zimmerman, Julia Silge\n\n\nUtilize the vetiver framework in Python and R for efficient versioning, deployment, and monitoring of machine learning models in production. \n\n\nhttps://posit-conf-2024.github.io/vetiver\n\n\n\n\nIntroduction to Data Science with Python\n\n\nPosit Academy Team\n\n\nLearn the foundations of Python for data science through a cohort-based, mentor-led, hands-on apprenticeship for working professionals. \n\n\nNEED LINK\n\n\n\n\nIntroduction to Data Science with R and Tidyverse\n\n\nPosit Academy Team\n\n\nLearn the foundations of R for data science through a cohort-based, mentor-led, hands-on apprenticeship for working professionals. \n\n\nhttps://intro-tidyverse-2024.netlify.app\n\n\n\n\nIntroduction to Quarto\n\n\nAndrew Bray\n\n\nAuthor a rich array of documents in Quarto. \n\n\nhttps://github.com/posit-conf-2024/quarto-intro\n\n\n\n\nIntroduction to Shiny for Python\n\n\nGarrett Grolemund, Andrie de Vries\n\n\nLearn the basic building blocks of Shiny for Python, including the new Shiny Express syntax. \n\n\nhttps://posit-conf-2024.github.io/intro-to-shiny-for-python\n\n\n\n\nIntroduction to Shiny for R\n\n\nColin Rundel\n\n\nIntroduction to builing interactive web apps using Shiny and R \n\n\nhttps://posit-conf-2024.github.io/shiny-r-intro\n\n\n\n\nIntroduction to machine learning in Python with Scikit-learn\n\n\nTiffany Timbers, Trevor Campbell\n\n\nMachine learning with tabular data using Python’s the Scikit-learn framework. \n\n\nhttps://posit-conf-2024.github.io/ml-python\n\n\n\n\nIntroduction to tidymodels\n\n\nHannah Frick, Simon Couch\n\n\nMachine learning with tabular data using the tidymodels framework. \n\n\nhttps://workshops.tidymodels.org\n\n\n\n\nLevel Up with Shiny for R\n\n\nGarrick Aden-Buie\n\n\nLevel up your Shiny skills to build complex applications with brilliant user interfaces. \n\n\nhttps://posit-conf-2024.github.io/level-up-shiny\n\n\n\n\nMaking Tables with gt and Great Tables\n\n\nRichard Iannone, Michael Chow\n\n\nCreate publication-quality tables with gt and Great Tables. For R and Python users. \n\n\n \n\n\n\n\nPackage Development: The Rest of the Owl\n\n\nJenny Bryan\n\n\nLearn what’s different about writing R code that lives in a package (vs. a script). \n\n\nhttps://pos.it/pkg_dev_24\n\n\n\n\nQuarto Websites\n\n\nCharlotte Wickham, Emil Hvitfeldt\n\n\nBuild a website from scratch with Quarto. \n\n\nhttps://github.com/posit-conf-2024/quarto-websites\n\n\n\n\nR in Production\n\n\nHadley Wickham\n\n\nLearn how to write robust R code that both works reliably in production, and when it fails, is easy to debug. \n\n\nhttps://github.com/posit-conf-2024/r-in-production\n\n\n\n\nUsing Databricks with R\n\n\nEdgar Ruiz\n\n\nOverview of the latests methods to connect, and interact with Databricks services. \n\n\nhttps://posit-conf-2024.github.io/databricks\n\n\n\n\nWhat They Forgot To Teach You About R\n\n\nShannon Pileggi, E. David Aja\n\n\nThis workshop is designed to level up experienced R programmers in debugging and personal R administration. \n\n\nhttps://github.com/posit-conf-2024/wtf\n\n\n\n\n\nNo matching items"
+    "text": "Order By\n       Default\n         \n          Title\n        \n         \n          Instructor(s)\n        \n     \n  \n    \n      \n      \n    \n\n\n\n\n\nTitle\n\n\nInstructor(s)\n\n\nDescription\n\n\nSubtitle\n\n\n\n\n\n\nAdvanced Tidymodels\n\n\nMax Kuhn\n\n\nAn advanced class to learn how to use tidymodels to optimize different models, conduct feature engineering, and other activities. \n\n\nhttps://github.com/posit-conf-2024/tidymodels-advanced\n\n\n\n\nBig Data in R with Arrow\n\n\nNic Crane, Steph Hazlitt\n\n\nAn introduction to Apache Arrow for creating efficient analysis pipelines with larger-than-memory data in R. \n\n\nhttps://posit-conf-2024.github.io/arrow\n\n\n\n\nBuild-a-Dashboard Workshop (with Quarto, R and/or Python)\n\n\nMine Çetinkaya-Rundel\n\n\nCreate sleek, elegant, and eye-catching dashboards with static and/or interactive elements with Quarto. For R and Python users. \n\n\nhttps://github.com/posit-conf-2024/quarto-dashboards\n\n\n\n\nCausal Inference in R\n\n\nMalcolm Barrett, Travis Gerke\n\n\nLearn to answer causal questions with causal diagrams, propensity score modeling, and more. \n\n\nhttps://r-causal.github.io/causal_workshop_website\n\n\n\n\nData Science Workflows with Posit Tools — Python Focus\n\n\nSam Edwardes, Gagandeep Singh\n\n\nBuild an opinionated and Pythonic data science workflow using Posit’s professional products and open-source tools. \n\n\nhttps://ferryland.posit.team\n\n\n\n\nData Science Workflows with Posit Tools — R Focus\n\n\nRyan Johnson, Katie Masiello\n\n\nUse open source packages and Posit’s professional tools — Workbench, Connect, and Package Manager — to improve your end-to-end data science workflows. \n\n\nhttps://github.com/posit-conf-2024/ds-workflows-r\n\n\n\n\nDatabases with R\n\n\nKirill Müller\n\n\nAn introduction to databases and DuckDB with R. \n\n\nhttps://github.com/posit-conf-2024/databases\n\n\n\n\nDevOps for Data Scientists\n\n\nRika Gorn\n\n\nThis workshop is intended for data scientists who wish to learn more about the basic principles and tools of DevOps and to get hands-on experience putting DevOps workflows into production. \n\n\nhttps://github.com/posit-conf-2024/dev-ops\n\n\n\n\nEffective data visualization with ggplot2\n\n\nClaus O. Wilke\n\n\nLevel up your figure design skills with advanced tips and tricks for ggplot2 and with fundamental principles of visual communication. \n\n\nhttps://github.com/posit-conf-2024/dataviz-r\n\n\n\n\nFlavors of the pharmaverse\n\n\nDaniel D. Sjoberg, Becca Krouse, Ellis Hughes, Andrew Bates, Casey Aguilar-Gervase\n\n\nHigh level overview of the scope and tools available within the pharmaverse for the clinical pipeline, including tools for ADaM data set curation, creating Analysis Results Data Sets, and TLGs. \n\n\nhttps://posit-conf-2024.github.io/pharmaverse/\n\n\n\n\nFrom R User to R Programmer\n\n\nEmma Rand, Ian Lyttle\n\n\nImprove your R programming skills and reduce the amount of duplication in your code. \n\n\nhttps://github.com/posit-conf-2024/programming-r\n\n\n\n\nIntro to MLOps with vetiver\n\n\nIsabel Zimmerman, Julia Silge\n\n\nUtilize the vetiver framework in Python and R for efficient versioning, deployment, and monitoring of machine learning models in production. \n\n\nhttps://posit-conf-2024.github.io/vetiver\n\n\n\n\nIntroduction to Data Science with Python\n\n\nPosit Academy Team\n\n\nLearn the foundations of Python for data science through a cohort-based, mentor-led, hands-on apprenticeship for working professionals. \n\n\nNEED LINK\n\n\n\n\nIntroduction to Data Science with R and Tidyverse\n\n\nPosit Academy Team\n\n\nLearn the foundations of R for data science through a cohort-based, mentor-led, hands-on apprenticeship for working professionals. \n\n\nhttps://intro-tidyverse-2024.netlify.app\n\n\n\n\nIntroduction to Quarto\n\n\nAndrew Bray\n\n\nAuthor a rich array of documents in Quarto. \n\n\nhttps://github.com/posit-conf-2024/quarto-intro\n\n\n\n\nIntroduction to Shiny for Python\n\n\nGarrett Grolemund, Andrie de Vries\n\n\nLearn the basic building blocks of Shiny for Python, including the new Shiny Express syntax. \n\n\nhttps://posit-conf-2024.github.io/intro-to-shiny-for-python\n\n\n\n\nIntroduction to Shiny for R\n\n\nColin Rundel\n\n\nIntroduction to builing interactive web apps using Shiny and R \n\n\nhttps://posit-conf-2024.github.io/shiny-r-intro\n\n\n\n\nIntroduction to machine learning in Python with Scikit-learn\n\n\nTiffany Timbers, Trevor Campbell\n\n\nMachine learning with tabular data using Python’s the Scikit-learn framework. \n\n\nhttps://posit-conf-2024.github.io/ml-python\n\n\n\n\nIntroduction to tidymodels\n\n\nHannah Frick, Simon Couch\n\n\nMachine learning with tabular data using the tidymodels framework. \n\n\nhttps://workshops.tidymodels.org\n\n\n\n\nLevel Up with Shiny for R\n\n\nGarrick Aden-Buie\n\n\nLevel up your Shiny skills to build complex applications with brilliant user interfaces. \n\n\nhttps://posit-conf-2024.github.io/level-up-shiny\n\n\n\n\nMaking Tables with gt and Great Tables\n\n\nRichard Iannone, Michael Chow\n\n\nCreate publication-quality tables with gt and Great Tables. For R and Python users. \n\n\nhttps://github.com/posit-conf-2024/tables\n\n\n\n\nPackage Development: The Rest of the Owl\n\n\nJenny Bryan\n\n\nLearn what’s different about writing R code that lives in a package (vs. a script). \n\n\nhttps://pos.it/pkg_dev_24\n\n\n\n\nQuarto Websites\n\n\nCharlotte Wickham, Emil Hvitfeldt\n\n\nBuild a website from scratch with Quarto. \n\n\nhttps://github.com/posit-conf-2024/quarto-websites\n\n\n\n\nR in Production\n\n\nHadley Wickham\n\n\nLearn how to write robust R code that both works reliably in production, and when it fails, is easy to debug. \n\n\nhttps://github.com/posit-conf-2024/r-in-production\n\n\n\n\nUsing Databricks with R\n\n\nEdgar Ruiz\n\n\nOverview of the latests methods to connect, and interact with Databricks services. \n\n\nhttps://posit-conf-2024.github.io/databricks\n\n\n\n\nWhat They Forgot To Teach You About R\n\n\nShannon Pileggi, E. David Aja\n\n\nThis workshop is designed to level up experienced R programmers in debugging and personal R administration. \n\n\nhttps://github.com/posit-conf-2024/wtf\n\n\n\n\n\nNo matching items"
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     "objectID": "workshops/dataviz.html",

_site/workshops/tables.html

@@ -108,6 +108,7 @@
 <header id="title-block-header" class="quarto-title-block default">
 <div class="quarto-title">
 <h1 class="title">Making Tables with gt and Great Tables</h1>
+<p class="subtitle lead"><a href="https://github.com/posit-conf-2024/tables">https://github.com/posit-conf-2024/tables</a></p>
   <div class="quarto-categories">
     <div class="quarto-category">R</div>
     <div class="quarto-category">Python</div>

_site/workshops/tidymodels_advanced.html

@@ -107,6 +107,7 @@
 <header id="title-block-header" class="quarto-title-block default">
 <div class="quarto-title">
 <h1 class="title">Advanced Tidymodels</h1>
+<p class="subtitle lead"><a href="https://github.com/posit-conf-2024/tidymodels-advanced">https://github.com/posit-conf-2024/tidymodels-advanced</a></p>
   <div class="quarto-categories">
     <div class="quarto-category">tidymodels</div>
     <div class="quarto-category">modeling</div>