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README.md
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@ -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)
<ul>
<li>python 2.7+</li>
<li>numpy (anything above 1.6, 1.9+ recommended, optimally compiled with some BLAS library [MKL, OpenBLAS, ATLAS, etc.)</li>
<li>scipy (optional, but may be useful to do some tests)</li>
<li>matplotlib (for plotting)</li>
<li>ipython (v3.0+, 4.0 recommended)</li>
<li>notebook (notebooks are in version 4.0)</li>
</ul>
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),