As a user of Anaconda python I have been receiving (Ubuntu) system warnings of low free space in my home directory. Investigating what was causing this I found out that Anaconda python had several versions of each package. The overall size of the
pkgs directory was 14+ GB. After cleaning it is about 3GB.
The second largest directory was my mail in Thunderbird.
So it would be wise, especially if you are limited in disk space, to clean Anaconda. The commands I used are as follows:
conda clean --all
conda update conda
# just to make sure nothing is broken and
# your environment is updated
source activate <your-environment>
conda update --all
conda clean --all
PhD in Remote Sensing, Geophysics, or Oceanography starting from October 2018. Your help is very much appreciated. You can contact me. Thank you
Je cherche une
thèse en Télédétection, Géophysique, ou Océanographie a partir d’Octobre’18. Votre aide est très appréciée. Vous pouvez me Merci contacter.
29 August, 2017
applied geophysics, data analysis, data science, Geophysics, internships, machine learning, marine geophysics, Remote Sesnsing, signal processing, stage
last updated: 2015-08-29
References & Most helpful commands
Short R Reference Card (PDF) R commands
Knitr Reference Card
Advanced R (wiki), Hadley Wickham Programming in R, UC Riverside
Introduction to R, A First Course in R (PDF), University of Notre Dame
MATLAB commands in numerical Pythom (NumPY): as well as Octave & R (PDF)
Numerical Analysis & Statistics: MATLAB, R, NumPy – a side-by-side reference sheet data.table:
Exploratory Data Analysis with data.table (videos)
data.table cheat sheet
Cheatsheets (Data Wrangling with dplyr & tidyr, R Markdown, Shiny)
Resources to help you learn and use R, Institute of Digital Research and Education (idre), UCLA
Tutorials & Handy packages
Hands-on dplyr tutorial for faster data manipulation in R Interactive Visualizations From R Using Rcharts rMaps – Interactive Maps from R ( github repo) (requires “devtools” from cran)
Using R for Psychological Research – Personality Project, William Revelle
Try R by Code School ( on codeschool)
Introduction to R, Leada
see Assorted links – Data Visualization (
to be published later)
Tidy Data, Hadley Wickham [PDF]
Big Data & Society – Open-access journal
Hacks for better productivity
Sublime and R
Using Sublime Text 2 for R Using R in Sublime Text 3
Video (training) courses
Introduction to Data Science with R, Garrett Grolemund, O’Reilly Media
Lists of Resources by others
Scraping Twitter and Web Data Using R – Pablo Barbera
see Assorted links – Data sources (
To be published later)
If you’d like to contribute to this list, please leave them in the comments below.
Below is a nice map created by Ali Rebaie of universities offering degrees in Data Science based on data from this
github repo. Contribute using this Google spreadsheet.
A while ago I
published a post on how to install some basic packages in R. This post goes further by sharing with you an Rscript (as part of another Ubuntu customization script) to install many popular R packages.
I’ve written the Rscript to be run after a fresh installation of Ubuntu. The Rscript is called by the Ubuntu customization script (yet to be published) and should install some basic and popular R packages.
Below is a
Gist. For the repo click here.