| # Ruby/C/Fortran Bridge Rakefile | |
| # Cameron Carroll, July 2012 | |
| # Purpose: Rake build script to facilitate calling Fortran code from Ruby in order to outsource | |
| # heavy lifting computation. This script will compile Fortran and C code in present directory | |
| # but leaves implementation and linking up to the user. | |
| # | |
| # Notes: This script may require a little bit of configuration depending on the system. | |
| # 1: The Ruby include flags are specifically for MY system. I haven't found a way to generate them, | |
| # so you have to either tailor them by hand or generate a extconf.rb makefile, enable verbose mode, | |
| # and copy the include flags from the compile command. Yeah, I know, I know... |
| -- the following variable allows to choose what we want to export | |
| -- it can be "Selected Papers Only", "Selected Collection" or "Entire Library" | |
| set myDesiredSaveRange to "Selected Collection" | |
| -- the following variable allows is the path where we save the bib file | |
| set myPath to "~/Desktop/from_papers.bib" | |
| -- do we also have a prettifier? | |
| set runPrettifier to true | |
| -- path to it |
| #!/usr/bin/env ruby -wKU | |
| # Adapted from Brett Terpstra’s original “Markdown to Evernote” service (http://brettterpstra.com/a-better-os-x-system-service-for-evernote-notes-with-multimarkdown/) | |
| # Martin Kopischke 2011 – License: Creative Commons Attribution Share-Alike (CC BY-SA) 3.0 Unported (http://creativecommons.org/licenses/by-sa/3.0/) | |
| # Changes: – create only one Evernote note per (Multi)Markdown input passed (instead of one per line) | |
| # – do not choke on shell escape characters (use Tempfile instead of shell pipe for osascript) | |
| # – default to MultiMarkdown 3 executable (instead of MMD 2 Perl script) | |
| # – make smart typography processing optional (set SMARTY to 'false' to bypass processing; | |
| # note smart typography cannot be disabled in MMD 3.0 and 3.0.1 | |
| # – handle both smart typography processing scripts (ie. SmartyPants.pl) |
| #!/usr/bin/env python | |
| # numpy and biopython are required -- pip install numpy biopython | |
| from Bio import Entrez | |
| from Bio import Medline | |
| MAX_COUNT = 10 | |
| TERM = 'Tuberculosis' | |
| print('Getting {0} publications containing {1}...'.format(MAX_COUNT, TERM)) |
| # Adapted from https://stackoverflow.com/a/7267364/1036500 by Andrie de Vries | |
| library(ggplot2) | |
| td <- expand.grid( | |
| hjust=c(0, 0.5, 1), | |
| vjust=c(0, 0.5, 1), | |
| angle=c(0, 45, 90), | |
| text="text" | |
| ) |
| ruler <- function(width = getOption("width")) { | |
| x <- seq_len(width) | |
| y <- dplyr::case_when( | |
| x %% 10 == 0 ~ as.character((x %/% 10) %% 10), | |
| x %% 5 == 0 ~ "+", | |
| TRUE ~ "-" | |
| ) | |
| cat(y, "\n", sep = "") | |
| cat(x %% 10, "\n", sep = "") | |
| } |
| # install.packages(c("here", "fs", "stringr", "purrr", "git2r")) | |
| # to add invisibly in your R profile, open with usethis::edit_r_profile() | |
| # then define it in an environment, e.g. | |
| # .env <- new.env() | |
| # .env$move_slides_to_web <- {function definition} | |
| move_slides_to_web <- function(folder = NULL, index = NULL) { | |
| if (is.null(folder)) { |
Install native ARM R: https://cloud.r-project.org/
Install RStudio (probably preview) which is not native as of today: https://www.rstudio.com/products/rstudio/download/preview/
This blog post is helpful for getting Tensorflow working, but it is older, before the ARM version of R and the RStudio version that supports it was available.
This other blog post has specific steps outlined, but some of it has also been superseded.