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‎.dockerignore

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# add git-ignore syntax here of things you don't want copied into docker image
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.git
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.travis.yml
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*Dockerfile*
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README.md
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LICENSE.txt

‎.travis.yml

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services:
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- docker
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script:
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- docker ps
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- docker run -dit faizanbashir/python:2.7 sh

‎Dockerfile

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FROM alpine:3.8
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LABEL MAINTAINER="Faizan Bashir <faizan.ibn.bashir@gmail.com>"
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# Linking of locale.h as xlocale.h
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# This is done to ensure successfull install of python numpy package
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# see https://forum.alpinelinux.org/comment/690#comment-690 for more information.
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WORKDIR /var/www/
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# SOFTWARE PACKAGES
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# * musl: standard C library
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# * lib6-compat: compatibility libraries for glibc
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# * linux-headers: commonly needed, and an unusual package name from Alpine.
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# * build-base: used so we include the basic development packages (gcc)
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# * bash: so we can access /bin/bash
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# * git: to ease up clones of repos
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# * ca-certificates: for SSL verification during Pip and easy_install
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# * freetype: library used to render text onto bitmaps, and provides support font-related operations
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# * libgfortran: contains a Fortran shared library, needed to run Fortran
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# * libgcc: contains shared code that would be inefficient to duplicate every time as well as auxiliary helper routines and runtime support
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# * libstdc++: The GNU Standard C++ Library. This package contains an additional runtime library for C++ programs built with the GNU compiler
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# * openblas: open source implementation of the BLAS(Basic Linear Algebra Subprograms) API with many hand-crafted optimizations for specific processor types
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# * tcl: scripting language
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# * tk: GUI toolkit for the Tcl scripting language
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# * libssl1.0: SSL shared libraries
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ENV PACKAGES="\
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dumb-init \
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musl \
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libc6-compat \
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linux-headers \
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build-base \
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bash \
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git \
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ca-certificates \
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freetype \
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libgfortran \
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libgcc \
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libstdc++ \
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openblas \
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tcl \
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tk \
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libssl1.0 \
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"
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# PYTHON DATA SCIENCE PACKAGES
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# * numpy: support for large, multi-dimensional arrays and matrices
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# * matplotlib: plotting library for Python and its numerical mathematics extension NumPy.
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# * scipy: library used for scientific computing and technical computing
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# * scikit-learn: machine learning library integrates with NumPy and SciPy
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# * pandas: library providing high-performance, easy-to-use data structures and data analysis tools
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# * nltk: suite of libraries and programs for symbolic and statistical natural language processing for English
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ENV PYTHON_PACKAGES="\
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numpy \
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matplotlib \
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scipy \
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scikit-learn \
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pandas \
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nltk \
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"
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RUN apk add --no-cache --virtual build-dependencies python --update py-pip \
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&& apk add --virtual build-runtime \
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build-base python-dev openblas-dev freetype-dev pkgconfig gfortran \
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&& ln -s /usr/include/locale.h /usr/include/xlocale.h \
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&& pip install --upgrade pip \
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&& pip install --no-cache-dir $PYTHON_PACKAGES \
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&& apk del build-runtime \
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&& apk add --no-cache --virtual build-dependencies $PACKAGES \
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&& rm -rf /var/cache/apk/*
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CMD ["python"]

‎LICENSE.txt

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The MIT License (MIT)
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Copyright (c) 2019 <Faizan Bashir>
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in
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all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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THE SOFTWARE.

‎README.md

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#Docker image for Python Datascience containers

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