Data science with python on Windows

.theanorc

[global]
floatX = float32
device = gpu0
force_device = True

[nvcc]
fastmath = True

[cuda]
root=/usr/local/cuda/

[lib]
cnmem = 0.5

[dnn]
enabled = True

.theanorc.txt

[global]
floatX=float32
device=gpu0
force_device=True

[lib]
cnmem=0.5

[cuda]
root="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v7.5"

[dnn]
enabled=True

[nvcc]
flags = --use-local-env  --cl-version=2013
fastmath = True

digits.bat

@echo off

cd DIGITS
python digits

ls.bat

@echo off
dir %*

requirements

numpy
scipy
matplotlib
jupyter
Keras
pandas
Theano
scikit-learn
h5py
opencv-python
pydot

##### pip list
# appdirs (1.4.1)
# backports-abc (0.5)
# backports.shutil-get-terminal-size (1.0.0)
# bleach (1.5.0)
# certifi (2017.1.23)
# click (6.7)
# click-plugins (1.0.3)
# cligj (0.4.0)
# colorama (0.3.7)
# configparser (3.5.0)
# cycler (0.10.0)
# Cython (0.25.2)
# dask (0.13.0)
# decorator (4.0.11)
# entrypoints (0.2.2)
# enum34 (1.1.6)
# Fiona (1.7.4)
# Flask (0.12)
# Flask-Cors (3.0.2)
# functools32 (3.2.3.post2)
# GDAL (2.1.3)
# gevent (1.1.2)
# greenlet (0.4.12)
# h5py (2.6.0)
# html5lib (0.9999999)
# ipykernel (4.5.2)
# ipython (5.2.2)
# ipython-genutils (0.1.0)
# ipywidgets (5.2.2)
# itsdangerous (0.24)
# Jinja2 (2.9.5)
# jsonschema (2.6.0)
# jupyter (1.0.0)
# jupyter-client (5.0.0)
# jupyter-console (5.1.0)
# jupyter-core (4.3.0)
# Keras (1.2.2)
# Lasagne (0.1)
# MarkupSafe (0.23)
# matplotlib (2.0.0)
# mistune (0.7.3)
# munch (2.1.0)
# nbconvert (5.1.1)
# nbformat (4.3.0)
# networkx (1.11)
# notebook (4.4.1)
# numpy (1.12.0+mkl)
# olefile (0.44)
# opencv-python (3.2.0.6)
# packaging (16.8)
# pandas (0.19.2)
# pandocfilters (1.4.1)
# pathlib2 (2.2.1)
# pickleshare (0.7.4)
# Pillow (4.0.0)
# pip (9.0.1)
# prompt-toolkit (1.0.13)
# pydot (1.2.3)
# Pygments (2.2.0)
# pyparsing (2.1.10)
# python-dateutil (2.6.0)
# pytz (2016.10)
# PyYAML (3.12)
# pyzmq (16.0.2)
# qtconsole (4.2.1)
# scandir (1.4)
# scikit-fmm (0.0.9)
# scikit-image (0.12.3)
# scikit-learn (0.18.1)
# scipy (0.18.1)
# setuptools (34.2.0)
# Shapely (1.5.17)
# simplegeneric (0.8.1)
# singledispatch (3.4.0.3)
# six (1.10.0)
# testpath (0.3)
# Theano (0.9.0rc1)
# tifffile (2017.1.12)
# toolz (0.8.2)
# tornado (4.4.2)
# traitlets (4.3.1)
# wcwidth (0.1.7)
# Werkzeug (0.11.15)
# wheel (0.30.0a0)
# widgetsnbextension (1.2.6)
# win-unicode-console (0.5)

start.bat

@echo off

echo "Start environment"

set HOME_PATH=%CD%

:: Setup VC variables
call "C:\Program Files (x86)\Microsoft Visual Studio 12.0\VC\vcvarsall.bat" x86_amd64
::echo "CUDA_PATH=%CUDA_PATH%"

set PYTHON_PATH=C:\Python27
:: Follow this : http://deeplearning.net/software/theano/install_windows.html
set TDM_GCC_PATH=%CD%\TDM-GCC\bin;%CD%\TDM-GCC\x86_64-w64-mingw32\bin

:: Theano & Keras global variables
set THEANORC=%CD%\.theanorc.txt
set KERAS_BACKEND=theano

:: Do not forget to setup : C:\Users\USER\.keras\keras.json
::
:: {
::    "image_dim_ordering": "th", 
::    "epsilon": 1e-07, 
::    "floatx": "float32", 
::    "backend": "theano"
:: }
::

set CAFFE_PATH=%CD%\caffe
set CAFFE_ROOT=%CD%\caffe\build
set CAFFE_DEP_ROOT=%CAFFE_PATH%\scripts\libraries

set CAFFE_DEPS=%CAFFE_DEP_ROOT%\bin;%CAFFE_DEP_ROOT%\lib;%CAFFE_DEP_ROOT%\x64\vc12\bin

set PATH=%PATH%;%PYTHON_PATH%;%TDM_GCC_PATH%;%CAFFE_DEPS%;%CD%

:: Install virtual environment with `python virtualenv venv`
:: Activate venv
%comspec% /k "%CD%\venv\Scripts\activate.bat"


echo "Exiting ..."