https://github.com/enthought/numpy-tutorial-scipyconf-2016
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https://github.com/enthought/numpy-tutorial-scipyconf-2016
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Default Repo description from terraform module
- Host: GitHub
- URL: https://github.com/enthought/numpy-tutorial-scipyconf-2016
- Owner: enthought
- License: other
- Created: 2016-06-08T14:40:55.000Z (about 10 years ago)
- Default Branch: master
- Last Pushed: 2022-03-22T22:45:22.000Z (over 4 years ago)
- Last Synced: 2024-12-27T02:42:43.336Z (over 1 year ago)
- Language: Python
- Homepage:
- Size: 3.64 MB
- Stars: 0
- Watchers: 4
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# SciPy2016 tutorial: Introduction to NumPy
This repository contains all the material needed by students registered for the
Numpy tutorial of SciPy 2016 on Monday, July 11th 2016.
For a smooth experience, you will need to make sure that you install or update
your Python distribution and download the tutorial material _before_ the day
of the tutorial as the Wi-Fi at the AT&T center can be flaky.
## Python distribution and Packages needed
If you don't already have a working python distribution, by far the easiest
way to get everything you need for this tutorial is to download Enthought
Canopy ([https://store.enthought.com/](https://store.enthought.com/),
the free version is sufficient), or Continuum's Anaconda
([http://continuum.io/downloads](http://continuum.io/downloads)).
If you have the choice, I recommend to use a Python 2.7 distribution, which
is what I will be using and my material as been tested with that. If you have
a Python 3.4+ version, you should be fine, though you might have to replace a
print statement (`print a`) by the print function (`print(a)`) in some of the
solution files.
To be able to run the examples, demoes and exercises, you must have the
following packages installed:
- numpy 1.10+
- matplotlib 1.5+
- ipython 4.0+ (for running, experimenting and doing exercises)
- nose (only to test your distribution, see below)
If you use Canopy, everything you need will be installed by default. If you
use `conda`, you can create a new environment using the following command:
$ conda create -n numpy-tutorial python=2 numpy matplotlib nose ipython
To test your installation, please execute the `check_env.py` script. The
output should look something like this:
$ python check_env.py
....
----------------------------------------------------------------------
Ran 4 tests in 0.162 s
OK
## Content needed
This GitHub repository is all that is needed in terms of tutorial content. The simplest solution is to download the material using this link:
https://github.com/enthought/Numpy-Tutorial-SciPyConf-2016/archive/master.zip
If you're familiar with Git, you can also clone this repository with:
$ git clone https://github.com/enthought/Numpy-Tutorial-SciPyConf-2016.git
It will create a new folder named SciPy2016_numpy_tutorial/ with all the
content you will need: the slides I will go through (`slides.pdf`), and a folder
of exercises.
As you get closer to the day of the tutorial, it is highly recommended to
update this repository, as I will be improving it this week. To update it, open
a command prompt, move **into** the SciPy2016_numpy_tutorial/ folder and run:
$ git pull
Questions? Problems?
====================
Questions? Problems? Don't wait, shoot me and the rest of the group an email on
the tutorial mailing list: https://groups.google.com/forum/#!forum/scipy-2016-numpy-tutorial