• Source code - [Github][10]
• Author - Gavin Noronha - [email protected]

This project provides a Ubuntu (16.04) Vagrant Virtual Machine (VM) with numerical and scientific libraries for Python. It includes the following libraries. It also contains Jupyter (formerly known as IPython) notebooks.

• Numpy
• Scipy
• Jupyter notebook
• Pandas

• Matplotlib
• Seaborn
• Bokeh
• Holoviews

There are Ansible scripts that automatically install the software when the VM is started.

1. To start the virtual machine(VM) type

   vagrant up
   

2. Connect to the VM

   vagrant ssh
   

3. Install Jupyter notebook extensions (run only once)

   jupyter contrib nbextension install --user
   

4. Install vim extension (optional)

   cd $(jupyter --data-dir)/nbextensions
   git clone https://github.com/lambdalisue/jupyter-vim-binding vim_binding
   

5. Start the notebook

   /vagrant/vm/jupyter_notebook.sh
   

6. Open the notebook in the browser at the URL.

   http:https://localhost:8888/
   

Robert Johansson has multiple notebooks organized as a series of lectures.

1. Change to the notebooks directory

   cd /vagrant/notebooks
   

2. Get the notebooks

   git clone https://github.com/jrjohansson/scientific-python-lectures
   

1. Change to the notebooks directory

   cd /vagrant/notebooks/titanic
   

2. Get the notebooks

   curl -O https://gist.githubusercontent.com/mwaskom/8224591/raw/41ef1127b03c62798890d8a362d3c4dd7e2a5ac8/titanic_seaborn.ipynb
   

3. Install Slideshow

   sudo pip install RISE
   sudo jupyter-nbextension install rise --py --sys-prefix
   sudo jupyter-nbextension enable rise --py --sys-prefix
   

4. Titanic prediction

   http:https://ahmedbesbes.com/how-to-score-08134-in-titanic-kaggle-challenge.html
   https://blog.socialcops.com/engineering/machine-learning-python/
   

5. Titanic data description

   https://www.kaggle.com/c/titanic/data
   

To get the Scikit learn notebooks from PyCon 2015. The video for this conference is on Youtube

1. Change to the notebooks directory

   cd /vagrant/notebooks
   

2. Get the notebooks into the directory pycon2015

   svn export http:https://github.com/jakevdp/sklearn_pycon2015/trunk/notebooks pycon2015
   

3. In your Jupyter notebook list at http:https://localhost:8888/ the notebooks will be in the pycon2015 directory.

https://github.com/amueller/scipy_2015_sklearn_tutorial/tree/master/notebooks https://github.com/ogrisel/parallel_ml_tutorial

1. Change to the notebooks directory

   cd /vagrant/notebooks
   

2. Get the notebooks

   git clone https://github.com/bokeh/bokeh-notebooks
   

1. Change to the notebooks directory

   cd /vagrant/notebooks
   

2. Get the notebooks

   git clone https://github.com/bloomberg/bqplot.git
   

1. Change to the notebooks directory

   cd /vagrant/notebooks
   

2. Get the notebooks

   git clone https://github.com/ioam/scipy-2017-holoviews-tutorial.git
   

3. Get the data

   curl http:https://s3.amazonaws.com/datashader-data/nyc_taxi.zip
   

The following software is needed to get the software from github and run Vagrant to set up the Python development environment. The Git environment also provides an SSH client for Windows.

• Oracle VM VirtualBox
• Vagrant
• Git