From fd35da1b86c738126fb39fecf6fc2dca56d706f7 Mon Sep 17 00:00:00 2001 From: pswietojanski Date: Tue, 22 Sep 2015 17:13:16 +0100 Subject: [PATCH] initial readme 3 --- README.md | 38 +++++++++++++++++--------------------- 1 file changed, 17 insertions(+), 21 deletions(-) diff --git a/README.md b/README.md index f49db1b..f2b7e00 100644 --- a/README.md +++ b/README.md @@ -4,26 +4,22 @@ To run the notebooks (and later the code you are going to write within this course) you are expected to have installed the following packages: -python 2.7+ - -numpy (anything above 1.6, 1.9+ recommended, optimally - compiled with some BLAS library [MKL, OpenBLAS, ATLAS, etc.) - -scipy (optional, but may be useful to do some tests) - -matplotlib (for plotting) - -ipython (v3.0+, 4.0 recommended) - -notebook (notebooks are in version 4.0) + You can install them straight away on your personal computer, there is also a notebook tutorial (00_Introduction) on how to -do this on DICE, and what configuration you are expected to have. -For now, it suffices if you get the software working on your -personal computers so you can start ipython notebook server -and open the inital introductory tutorial (which will be make -publicitly available next Monday). +do this (particularly) on DICE, and what configuration you +are expected to have installed. For now, it suffices if you +get the software working on your personal computers so you can + start ipython notebook server and open the inital introductory +tutorial (which will be made publicitly available next Monday). ### Installing the software on personal computers @@ -53,7 +49,7 @@ so you pick up the version of python you just installed #### On DICE (we will do this during the first lab) -### Setting up the repository +### Getting the mlpractical repository Assuming ~/mlpractical is a target workspace you want to use during this course (where ~ denotes your home path, i.e. /home/user1). @@ -64,13 +60,13 @@ git clone https://github.com/CSTR-Edinburgh/mlpractical.git (Note: you can do it from your git account if you have one as the above just clone the repo as anonymous user, though it does not -matter at this point, as you probably will not submit pull requests) +matter at this point, as you are not required to submit pull requests) -Naviagate to the checked out directory by typing cd ~/mlpractical and type: +Naviagate to the checked out directory (cd ~/mlpractical) and type: ipython notebook -This should start notebook server and open the browser with the page +This should start ipython notebook server and open the browser with the page listing files/subdirs in the current directory. To update the repository (for example, on Monday),