#!/usr/bin/env python
# coding: utf-8

# <img src="../images/ipython_logo.png">

# Back to the main [Index](../Index.ipynb)

# # Parallel Computing

# IPython includes an architecture and library for interactive parallel computing. The enables Python functions, along with their arguments, to be run in parallel a multicore CPU, cluster or cloud using a simple Python API.

# ## Tutorials

# * [Data Publication API](Data Publication API.ipynb) 

# ## Examples

# * [Monitoring an MPI Simulation - 1](Monitoring an MPI Simulation - 1.ipynb)
# * [Monitoring an MPI Simulation - 2](Monitoring an MPI Simulation - 2.ipynb)
# * [Parallel Decorator and map](Parallel Decorator and map.ipynb)
# * [Parallel Magics](Parallel Magics.ipynb)
# * [Using Dill](Using Dill.ipynb)
# * [Using MPI with IPython Parallel](Using MPI with IPython Parallel.ipynb)
# * [Monte Carlo Options](Monte Carlo Options.ipynb)

# ## Non-notebook examples

# This directory also contains examples that are regular Python (`.py`) files.

# In[1]:


get_ipython().run_line_magic('run', '../utils/list_pyfiles.ipy')


# More substantial examples can be found in subdirectories:

# In[2]:


get_ipython().run_line_magic('run', '../utils/list_subdirs.ipy')