These ideas are focused on the analysis rather than the experimental work itself.
@@ -81,8 +81,8 @@ These ideas are focused on the analysis rather than the experimental work
For example, say we have a script to generate some data a.csv
, b.csv
, c.csv
called gen.py
We might then have another script comb.py
to combine them.
We can produce a table using python tabulate in a script called maketable.py
maketable.
Finally, we might use graph.py
to plot a
versus b
(ok, this is not a very meaningful graph!)
Naturally, we need a LaTeX document:
@@ -256,8 +256,8 @@ Blah blah blah.
Finally, we tie everything together with a Makefile
Makefile
Makefile
---
@@ -360,8 +360,8 @@ that generated the plot.
-
-Use Jupyter Notebook
+
+Use Jupyter Notebook
- Jupyter notebook supports Python and several other languages
- As with Rstudio, can produce LaTeX by combining code, graphs, and markdown
@@ -372,8 +372,8 @@ that generated the plot.
-
-Use Emacs org-mode
+
+Use Emacs org-mode
- Org mode is a powerful editing environment that comes with Emacs
- Org mode documents are similar to Rmarkdown (or pandoc) with easy formatting instructions
@@ -385,8 +385,8 @@ that generated the plot.
-
-Using a different latex class
+
+Using a different latex class
- Your org mode document will need
#+latex_class: IEEEtran
- You'll need to configure Emacs using something like:
@@ -409,15 +409,22 @@ that generated the plot.
-
-Further reading
+
+Further reading
-- I thoroughly recommend Science Fictions &ritchieScienceFictionsExposing2020
-- John Kitchin has a nice article on embedding data into PDFs. &kitchinExamplesEffectiveData2015
+- I thoroughly recommend Science Fictions (Ritchie, 2020)
+- John Kitchin has a nice article on embedding data into PDFs. (Kitchin, 2015)
- He also has a youtube describing org mode for research https://youtu.be/1-dUkyn_fZA
+
+References
+
+ Kitchin, J.R. (2015) “Examples of Effective Data Sharing in Scientific Publishing,” Acs catalysis, 5(6), pp. 3894–3899. Available at: https://doi.org/10.1021/acscatal.5b00538.
+
+
+