#Docker image for Python Datascience containers

• musl: standard C library
• lib6-compat: compatibility libraries for glibc
• linux-headers: commonly needed, and an unusual package name from Alpine.
• build-base: used so we include the basic development packages (gcc)
• bash: so we can access /bin/bash
• git: to ease up clones of repos
• ca-certificates: for SSL verification during Pip and easy_install
• freetype: library used to render text onto bitmaps, and provides support font-related operations
• libgfortran: contains a Fortran shared library, needed to run Fortran
• libgcc: contains shared code that would be inefficient to duplicate every time as well as auxiliary helper routines and runtime support
• libstdc++: The GNU Standard C++ Library. This package contains an additional runtime library for C++ programs built with the GNU compiler
• openblas: open source implementation of the BLAS(Basic Linear Algebra Subprograms) API with many hand-crafted optimizations for specific processor types
• tcl: scripting language
• tk: GUI toolkit for the Tcl scripting language
• libssl1.0: SSL shared libraries

• numpy: support for large, multi-dimensional arrays and matrices
• matplotlib: plotting library for Python and its numerical mathematics extension NumPy.
• scipy: library used for scientific computing and technical computing
• scikit-learn: machine learning library integrates with NumPy and SciPy
• pandas: library providing high-performance, easy-to-use data structures and data analysis tools
• nltk: suite of libraries and programs for symbolic and statistical natural language processing for English

# For Python 2.7 pull
$ docker pull nguyenphuongthanhf/python-datascience:2.7
# For Python 3.6 pull
$ docker pull nguyenphuongthanhf/python-datascience:3.6
$ docker container run --rm -it nguyenphuongthanhf/python-datascience:3.6 python


$ docker container run --rm -it -v $(pwd):app nguyenphuongthanhf/python-datascience:latest python

$ docker container run -v $(pwd):/app --rm -it -u www nguyenphuongthanhf/python-datascience:latest sh

### create funny worker support

$ vi ~/.bashrc

### Add code 
friday () {
    tty=
    tty -s && tty=--tty
    docker run \
        $tty \
        --interactive \
        --rm \
        --volume $(pwd):/app \
        --user $(id -u):$(id -g) \
        --env SSH_AUTH_SOCK=$SSH_AUTH_SOCK \
        nguyenphuongthanhf/python-datascience:latest python $@
}

### RUN

$ friday --version
$