Python Day @ MSFTA one day crash course on Python

Agenda

Morning • Python, Python in VS (lightning talks)

Afternoon• IPython, numpy/scipy/pandas,

debugging, machine learning

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Usage scenarios

Scripting &

DevOpsWeb

Data/Scientific

Misc: Mobile, Games, etc.

Who uses Python?

Stats

35,000,000 (python.org, 2013)CPython DL’s for Windows

PTVS: ¼ million downloads for v2.0PTVS

#1 teaching language @ top US Unis

Academia

#4 “most popular” (C# @ #5)Popularity

“Python is the official language of Science”

Data /Scientific

But why?The Language

The Libraries

Being OSS & Free

Academia

The LicenseBuilt-in

The Community Cross Platform

print(‘hi!’)

Icons made by Freepik, Icomoon from www.flaticon.com

Libraries(beyond numpy/scipy/IPython/pandas/scikit-learn, …)

Distro, pkgs, pkg managers

Major Distros

Anaconda

Canopy

WinPython

ActivePython

Python(x,y)

Installers

pip

easy_install

conda

“py2exe”

Pkg Repos

PyPI

binstar /Anaconda

Canopy / Enthought

Gohlke(windows)

Interpreters

CPython • Reference, max

library compat• Best for C

interop

IronPython• Runs on .Net• Best for C#

interop

Jython• Runs on JVM• Best for Java

interop

Pypy

• Tracing JIT• Good for

numerics

Misc

• Numba• Pyston• Stackless

IDEs and REPLs

Python Tools for Visual Studio *

PyCharm PyDev (Eclipse)

Wing Komodo IPython notebook(Browser based)

* Windows only

Summary

Python’s a great addition to your toolbox

It has a Microsoft friendly license It’s available in VS and on AzureAzure Website supportAzure ML support (coming soon)

TOMORROW

One day crash course on ML

ML tutorial on scikit-learn by Olivier Grisel

10am-4pm

Link/info will be on Python Day website soon

Call To Action

Tools & learning

1. Install Anaconda distro (includes IPython)

2. Install Python Tools for Visual Studio & Python Azure SDK

3. Learn/brush up on Python

Product

4. Please provide Python interfaces for your product/service

5. Build xplat commands/tools/etc. in Python

6. Please provide Python runtime support in your products

Resources

https://store.continuum.io/cshop/anaconda/

http://pytools.codeplex.com

www.IPython.org

A Crash Course in Python for Scientistshttp://nbviewer.ipython.org/gist/rpmuller/5920182

Exploratory computing with Pythonhttp://mbakker7.github.io/exploratory_computing_with_python/

Lectures on scientific computing with Pythonhttps://github.com/jrjohansson/scientific-python-lectures/blob/master/README.md

Machine learning/sklearn intro https://github.com/temporaer/tutorial_ml_gkbionics/blob/master/README.md