Add January 2020 talk

socalrug · Jan 28, 2020 · b8f2d74 · b8f2d74
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diff --git a/2020-01-28_reticulate/README.md b/2020-01-28_reticulate/README.md
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+# Using R and Python Together with Reticulate
+
+R and Rstudio are great for workflows in statistics and data science, but what if you need to use a library that's only available in Python? What if your collaborators work in Python and you work primarily in R (or vice versa)? How might you share code and make it so your workflows come together? The `reticulate` package helps with these issues and can make bringing together R and Python a joy. 
+
+Surely the folks at [RStudio](https://rstudio.github.io/reticulate/index.html) are the best source of information about this recent thrust in interoperability, however, after getting a feel for `reticulate` and how it might fit into my own workflow I'm happy to share a point of view about how to add this powerful tool to your own data science toolbox. 
diff --git a/2020-01-28_reticulate/agenda_for_reticulate_session.pdf b/2020-01-28_reticulate/agenda_for_reticulate_session.pdf
diff --git a/2020-01-28_reticulate/avocado.csv b/2020-01-28_reticulate/avocado.csv
diff --git a/2020-01-28_reticulate/oc_rug_reticulate-rpubs.html b/2020-01-28_reticulate/oc_rug_reticulate-rpubs.html
diff --git a/2020-01-28_reticulate/oc_rug_reticulate.pdf b/2020-01-28_reticulate/oc_rug_reticulate.pdf
diff --git a/2020-01-28_reticulate/setup_reticulate.R b/2020-01-28_reticulate/setup_reticulate.R
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+# The only package you'll need installed ahead of time is pacman.
+# install.packages("pacman")
+
+# With the p_load() function, all packages specified are installed and loaded or just loaded if already available.
+pacman::p_load(reticulate, tidyverse, lubridate, ggthemes, janitor)
+
+# Let's specify the path the version of python you'd like to use inside the R session.
+use_python("/Users/michaelespero/opt/anaconda3/bin/python")
+
+# Now that the path to the desired version of python is specified, let's check that python is available in RStudio.
+# The initialize argument gets python started if it's not already.
+py_available(initialize = T)
+
+# With python available we can check to see if some of the python modules we want to use are ready.
+py_module_available(module = "numpy")
+
+py_module_available(module = "pandas")
+
+py_module_available(module = "sklearn")
+
+py_module_available(module = "nltk")
+
+# Lastly, we can check out the python configuration in RStudio with the py_config() function.
+py_config()
+
+# At this point R and Python may be ready to work together. 
+# We'll go over things like installing Python modules and statistics/data science workflows in R and Python.
+
+
+
+
diff --git a/2020-01-28_reticulate/setup_reticulate_instructions.pdf b/2020-01-28_reticulate/setup_reticulate_instructions.pdf
diff --git a/2020-01-28_reticulate/tweets.csv b/2020-01-28_reticulate/tweets.csv
diff --git a/README.md b/README.md
@@ -3,6 +3,8 @@
 Presentation materials from our monthly meetings
 
 ---
+## 2020 ##
+* 01/28/2020: *Michael Espero*, [The YAML problem: Writing and working with YAML with ymlthis](https://github.com/ocrug/presentations/tree/master/2020-01-28_reticulate)
 
 ## 2019 ##