Develop Reference

Installing Python 3.11.1 on a docker container

I want to use debian:bullseye as a base image and then install a specific Python version - i.e. 3.11.1. At the moment I am just learning docker and linux.
From what I understand I can either:
Download and compile sources
Install binaries (using apt-get)
Use a Python base image
I have come across countless questions on here and articles online. Do I use deadsnakes? What version do I need? Are there any official python distributions (who is deadsnakes anyway)?
But ultimately I want to know the best means of getting Python on there. I don't want to use a Python base image - I am curious in the steps involved. Compile sources - I am far from having that level of knowhow - and one for another day.
Currently I am rolling with the following:
FROM debian:bullseye
RUN apt update && apt upgrade -y
RUN apt install software-properties-common -y
RUN add-apt-repository "ppa:deadsnakes/ppa"
RUN apt install python3.11
This fails with:
#8 1.546 E: Unable to locate package python3.11
#8 1.546 E: Couldn't find any package by glob 'python3.11'
Ultimately - it's not the error - its just finding a good way of getting a specific Python version on my container.

In case you want to install Python 3.11 in debian bullseye you have to compile it from source following the next steps (inside the Dockerfile):
sudo apt update
sudo apt install software-properties-common wget
wget https://www.python.org/ftp/python/3.11.1/Python-3.11.1.tar.xz
sudo tar -xf Python-3.11.1.tar.xz
cd Python-3.11.1
sudo ./configure --enable-optimizations
sudo make altinstall
Another option (easiest) would be to use the official Python Docker image, in your case:
FROM 3.11-bullseye
You have all the versions available in docker hub.
Other option that could be interesting in your case is 3.11-slim-bullseye, that is an image that does not contain the common packages contained in the default tag and only contains the minimal packages needed to run python.

Based on #tomasborella answer, to do this in docker:
Dockerfile
FROM debian:bullseye
RUN apt-get update -y \
&& apt-get upgrade -y \
&& apt-get -y install build-essential \
zlib1g-dev \
libncurses5-dev \
libgdbm-dev \
libnss3-dev \
libssl-dev \
libreadline-dev \
libffi-dev \
libsqlite3-dev \
libbz2-dev \
wget \
&& export DEBIAN_FRONTEND=noninteractive \
&& apt-get purge -y imagemagick imagemagick-6-common
RUN cd /usr/src \
&& wget https://www.python.org/ftp/python/3.11.0/Python-3.11.0.tgz \
&& tar -xzf Python-3.11.0.tgz \
&& cd Python-3.11.0 \
&& ./configure --enable-optimizations \
&& make altinstall
RUN update-alternatives --install /usr/bin/python python /usr/local/bin/python3.11 1
update-alternatives - will update the links to allow you to run python as opposed to specifying python3.11 when you want to run it.
It takes a while to compile those sources!

How to import pandas in java application to run python script using dockerfile [duplicate]

I need both java and python in my docker container to run some code.
This is my dockerfile:
It works perpectly if I don't add the FROM openjdk:slim
#get python
FROM python:3.6-slim
RUN pip install --trusted-host pypi.python.org flask
#get openjdk
FROM openjdk:slim
COPY . /targetdir
WORKDIR /targetdir
# Make port 81 available to the world outside this container
EXPOSE 81
CMD ["python", "test.py"]
And the test.py app is in the same directory:
from flask import Flask
import os
app = Flask(__name__)
#app.route("/")
def hello():
html = "<h3>Test:{test}</h3>"
test = os.environ['JAVA_HOME']
return html.format(test = test)
if __name__ == '__main__':
app.run(debug=True,host='0.0.0.0',port=81)
I'm getting this error:
D:\MyApps\Docker Toolbox\Docker Toolbox\docker.exe: Error response from daemon: OCI runtime create failed: container_linux.go:348: starting container process caused "exec: \"python\": executable file not found in $PATH": unknown.
What exactly am I doing wrong here? I'm new to docker, perhaps I'm missing a step.
Additional details
My goal
I have to run a python program that runs a Java file. The python library I'm using requires the path to JAVA_HOME.
My issues:
I do not know Java, so I cannot run the file properly.
My entire code is in Python, except this Java bit
The Python wrapper runs the file in a way I need it to run.

An easier solution to the above issue is to use multi-stage docker containers where you can copy the content from one to another. In the above case you can have openjdk:slim as the base container and then use content from a python container to be copied over into this base container as follows:
FROM openjdk:slim
COPY --from=python:3.6 / /
...
<normal instructions for python container continues>
...
This feature is available as of Docker 17.05 and there are more things you can do using multi-stage build as in copying only the content you need from one to another.
Reference documentation

OK it took me a little while to figure it out. And my thanks go to this answer.
I think my approach didn't work because I did not have a basic version of Linux.
So it goes like this:
Get Linux (I'm using Alpine because it's barebones)
Get Java via the package manager
Get Python, PIP
OPTIONAL: find and set JAVA_HOME
Find the path to JAVA_HOME. Perhaps there is a better way to do this, but I did this running the running the container, then I looked inside the container using docker exec -it [COINTAINER ID] bin/bash and found it.
Set JAVA_HOME in dockerfile and build + run it all again
Here is the final Dockerfile ( it should work with the python code in the question) :
### 1. Get Linux
FROM alpine:3.7
### 2. Get Java via the package manager
RUN apk update \
&& apk upgrade \
&& apk add --no-cache bash \
&& apk add --no-cache --virtual=build-dependencies unzip \
&& apk add --no-cache curl \
&& apk add --no-cache openjdk8-jre
### 3. Get Python, PIP
RUN apk add --no-cache python3 \
&& python3 -m ensurepip \
&& pip3 install --upgrade pip setuptools \
&& rm -r /usr/lib/python*/ensurepip && \
if [ ! -e /usr/bin/pip ]; then ln -s pip3 /usr/bin/pip ; fi && \
if [[ ! -e /usr/bin/python ]]; then ln -sf /usr/bin/python3 /usr/bin/python; fi && \
rm -r /root/.cache
### Get Flask for the app
RUN pip install --trusted-host pypi.python.org flask
####
#### OPTIONAL : 4. SET JAVA_HOME environment variable, uncomment the line below if you need it
#ENV JAVA_HOME="/usr/lib/jvm/java-1.8-openjdk"
####
EXPOSE 81
ADD test.py /
CMD ["python", "test.py"]
I'm new to Docker, so this may not be the best possible solution. I'm open to suggestions.
UPDATE: COMMON ISUUES
Difficulty using python packages
As Joabe Lucena pointed out here, Alpine can have issues certain python packages.
I recommend that you use a Linux distro that works best for you, e.g. centos.

Another alternative is to simply use docker-java-python image from docker hub. https://hub.docker.com/r/rappdw/docker-java-python
FROM rappdw/docker-java-python:openjdk1.8.0_171-python3.6.6
RUN java -version
RUN python --version

I found Sunny Pal's answer very useful but I made the copy more specific and added the necessary environment variables and update-alternatives lines so that Java was accessible from the command line in the Python container.
FROM python:3.9-slim
COPY --from=openjdk:8-jre-slim /usr/local/openjdk-8 /usr/local/openjdk-8
ENV JAVA_HOME /usr/local/openjdk-8
RUN update-alternatives --install /usr/bin/java java /usr/local/openjdk-8/bin/java 1
...

Oh, let me add my five cents. I took python slim as a base image. Then I found open-jdk-11 (Note, open-jdk-10 will fail because it is not supported) base image code!... And copy-pasted it into my docker file.
Note, copy-paste driven development is cool... ONLY when you understand each line you use in your code!!!
And here it is!
<!-- language: shell -->
FROM python:3.7.2-slim
# Do your stuff, install python.
# and now Jdk
RUN rm -rf /var/lib/apt/lists/* && apt-get clean && apt-get update && apt-get upgrade -y \
&& apt-get install -y --no-install-recommends curl ca-certificates \
&& rm -rf /var/lib/apt/lists/*
ENV JAVA_VERSION jdk-11.0.2+7
COPY slim-java* /usr/local/bin/
RUN set -eux; \
ARCH="$(dpkg --print-architecture)"; \
case "${ARCH}" in \
ppc64el|ppc64le) \
ESUM='c18364a778b1b990e8e62d094377af48b000f9f6a64ec21baff6a032af06386d'; \
BINARY_URL='https://github.com/AdoptOpenJDK/openjdk11-binaries/releases/download/jdk-11.0.1%2B13/OpenJDK11U-jdk_ppc64le_linux_hotspot_11.0.1_13.tar.gz'; \
;; \
s390x) \
ESUM='e39aacc270731dadcdc000aaaf709adae7a08113ccf5b4a045bc87fc13458d71'; \
BINARY_URL='https://github.com/AdoptOpenJDK/openjdk11-binaries/releases/download/jdk-11%2B28/OpenJDK11-jdk_s390x_linux_hotspot_11_28.tar.gz'; \
;; \
amd64|x86_64) \
ESUM='d89304a971e5186e80b6a48a9415e49583b7a5a9315ba5552d373be7782fc528'; \
BINARY_URL='https://github.com/AdoptOpenJDK/openjdk11-binaries/releases/download/jdk-11.0.2%2B7/OpenJDK11U-jdk_x64_linux_hotspot_11.0.2_7.tar.gz'; \
;; \
aarch64|arm64) \
ESUM='b66121b9a0c2e7176373e670a499b9d55344bcb326f67140ad6d0dc24d13d3e2'; \
BINARY_URL='https://github.com/AdoptOpenJDK/openjdk11-binaries/releases/download/jdk-11.0.1%2B13/OpenJDK11U-jdk_aarch64_linux_hotspot_11.0.1_13.tar.gz'; \
;; \
*) \
echo "Unsupported arch: ${ARCH}"; \
exit 1; \
;; \
esac; \
curl -Lso /tmp/openjdk.tar.gz ${BINARY_URL}; \
sha256sum /tmp/openjdk.tar.gz; \
mkdir -p /opt/java/openjdk; \
cd /opt/java/openjdk; \
echo "${ESUM} /tmp/openjdk.tar.gz" | sha256sum -c -; \
tar -xf /tmp/openjdk.tar.gz; \
jdir=$(dirname $(dirname $(find /opt/java/openjdk -name javac))); \
mv ${jdir}/* /opt/java/openjdk; \
export PATH="/opt/java/openjdk/bin:$PATH"; \
apt-get update; apt-get install -y --no-install-recommends binutils; \
/usr/local/bin/slim-java.sh /opt/java/openjdk; \
apt-get remove -y binutils; \
rm -rf /var/lib/apt/lists/*; \
rm -rf ${jdir} /tmp/openjdk.tar.gz;
ENV JAVA_HOME=/opt/java/openjdk \
PATH="/opt/java/openjdk/bin:$PATH"
ENV JAVA_TOOL_OPTIONS="-XX:+UseContainerSupport"
Now references.
https://github.com/AdoptOpenJDK/openjdk-docker/blob/master/11/jdk/ubuntu/Dockerfile.hotspot.releases.slim
https://hub.docker.com/_/python/
https://hub.docker.com/r/adoptopenjdk/openjdk11/
I used them to answer this question, which may help you sometime.
Running Python and Java in Docker

I believe that by adding FROM openjdk:slim line, you tell docker to execute all of your subsequent commands in openjdk container (which does not have python)
I would approach this by creating two separate containers for openjdk and python and specify individual sets of commands for them.
Docker is made to modularize your solutions and mashing everything into one container is usually a bad practice.

I tried pajamas's anwser which worked very well for creating this image. However, when trying to install packages like gensim, pandas or else, I faced some errors like: don't know how to compile Fortran code on platform 'posix'. I searched and tried this, this and that but none worked for me.
So, based on pajamas's anwser I decided to convert his image from Alpine to Centos which worked very well. So here's a Dockerfile that might help someone who's may be struggling in this scenario like I was:
# Get Linux
FROM centos:7
# Install Java
RUN yum update -y \
&& yum install java-1.8.0-openjdk -y \
&& yum clean all \
&& rm -rf /var/cache/yum
# Set JAVA_HOME environment var
ENV JAVA_HOME="/usr/lib/jvm/jre-openjdk"
# Install Python
RUN yum install python3 -y \
&& pip3 install --upgrade pip setuptools wheel \
&& if [ ! -e /usr/bin/pip ]; then ln -s pip3 /usr/bin/pip ; fi \
&& if [[ ! -e /usr/bin/python ]]; then ln -sf /usr/bin/python3 /usr/bin/python; fi \
&& yum clean all \
&& rm -rf /var/cache/yum
CMD ["bash"]

you should have one FROM in your dockerfile
(unless you use multi-stage build for the docker)

I think i found easiest way to mix java jdk 17 and python3. I is not working on python2
FROM openjdk:17.0.1-jdk-slim
RUN apt-get update && \
apt-get install -y software-properties-common && \
apt-get install -y python3-pip
Software Commons have python3 lightweight version. (3.9.1 version)
U can also install some libraries like that.
RUN python3 -m pip install --upgrade pip && \
python3 -m pip install numpy && \
python3 -m pip install opencv-python
OR
RUN apt-get update && \
apt-get install -y ffmpeg

Easiest is to just start from a Python image and add the OpenJDK. Note that FROM openjdk has been deprecated and replaced with eclipse-temurin
FROM python:3.10
ENV JAVA_HOME=/opt/java/openjdk
COPY --from=eclipse-temurin:17-jre $JAVA_HOME $JAVA_HOME
ENV PATH="${JAVA_HOME}/bin:${PATH}"
RUN pip install --trusted-host pypi.python.org flask
See How to use this Image - Using a different base Image section of https://hub.docker.com/_/eclipse-temurin for details.

Instead of using FROM openjdk:slim you can separately install Java, please refer below example:
# Install OpenJDK-8
RUN apt-get update && \
apt-get install -y openjdk-8-jdk && \
apt-get install -y ant && \
apt-get clean;
# Fix certificate issues
RUN apt-get update && \
apt-get install ca-certificates-java && \
apt-get clean && \
update-ca-certificates -f;
# Setup JAVA_HOME -- useful for docker commandline
ENV JAVA_HOME /usr/lib/jvm/java-8-openjdk-amd64/
RUN export JAVA_HOME

Airflow set python library versions to improve build speed

It used to take ~5 minutes for our Airflow deployment's docker image to build, and all of a sudden it is taking over an hour. With that said we haven't had to rebuild our image in a few months, so not sure when the issue came to be...
It looks like https://stackoverflow.com/questions/65122957/resolving-new-pip-backtracking-runtime-issue is the culprit. We're seeing a lot of warnings that look like this during build:
=> => # Downloading google_cloud_os_login-2.3.1-py2.py3-none-any.whl (42 kB)
=> => # INFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints
=> => # to reduce runtime. See https://pip.pypa.io/warnings/backtracking for guidance. If you want to abort this run, press
=> => # Ctrl + C.
=> => # Downloading google_cloud_os_login-2.2.1-py2.py3-none-any.whl (41 kB)
=> => # Downloading google_cloud_os_login-2.2.0-py2.py3-none-any.whl (44 kB)
Here is the line in our Dockerfile that is taking the hour+
RUN set -ex \
&& buildDeps=' \
freetds-dev \
libkrb5-dev \
libsasl2-dev \
libssl-dev \
libffi-dev \
libpq-dev \
git \
' \
&& apt-get update -yqq \
&& apt-get install -yqq --no-install-recommends \
$buildDeps \
freetds-bin \
build-essential \
apt-utils \
curl \
rsync \
netcat \
locales \
&& sed -i 's/^# en_US.UTF-8 UTF-8$/en_US.UTF-8 UTF-8/g' /etc/locale.gen \
&& locale-gen \
&& update-locale LANG=en_US.UTF-8 LC_ALL=en_US.UTF-8 \
&& useradd -ms /bin/bash -d ${AIRFLOW_USER_HOME} airflow \
&& pip install -U pip setuptools wheel \
&& pip install pytz \
&& pip install pyOpenSSL \
&& pip install ndg-httpsclient \
&& pip install pyasn1 \
&& pip install apache-airflow[crypto,postgres,slack,kubernetes,gcp,docker,ssh]==${AIRFLOW_VERSION} \
&& if [ -n "${PYTHON_DEPS}" ]; then pip install ${PYTHON_DEPS}; fi \
&& apt-get purge --auto-remove -yqq $buildDeps \
&& apt-get autoremove -yqq --purge \
&& apt-get clean \
&& rm -rf \
/tmp/* \
/var/tmp/* \
/usr/share/man \
/usr/share/doc \
/usr/share/doc-base \
/var/lib/apt/lists/*
...
...
COPY requirements.txt /requirements.txt
RUN pip install -r /requirements.txt
and here is our requirements.txt
google-cloud-core==1.4.1
google-cloud-datastore==1.15.0
gcsfs==0.6.1
flatten-dict==0.4.2
bigquery_schema_generator==1.4
backoff==1.11.1
six==1.13.0
ndjson==0.3.1
pymongo==3.1.2
SQLAlchemy==1.3.15
pandas==1.3.1
numpy==1.21.1
billiard
I am actually quite confused about this specific warning message referring to google_cloud_os_login because the build step that is hanging is the line I shared starting with RUN set -ex, which doesn't look to have any google cloud installations? We install some google cloud stuff via requirements.txt (-core, -datastore), but the lines to COPY and RUN pip install on requirements.txt are much lower in our dockerfile (as indicated by the ...). These warnings pop up for many libraries, however it does seem like this google_cloud_os_login is a major culprit taking a significant amount of time.
Where in the RUN set -ex ... command is it prompting to install google_cloud_os_login? And how can we set a specific version number on this library in order to speed up the build of this docker image?

I think the various google packages you're seeing are dependencies of apache-airflow[gcp].
To speed up the install, the documentation recommends you use one of the constraint files they provide. They create tags named constraints-<version> that contain files you can pass to pip with --constraint.
For example, when trying to install 2.2.0, there is a constraints-2.2.0 tag. In this tag's file tree, you'll see files like constraints-3.8.txt, where 3.8 is the python version I'm using.
pip install apache-airflow[gcp]==2.2.0 --constraint "https://raw.githubusercontent.com/apache/airflow/constraints-2.2.0/constraints-3.8.txt"

How to install graph-tool for Anaconda Python 3.5 on linux-64?

I'm trying to install graph-tool for Anaconda Python 3.5 on Ubuntu 14.04 (x64), but it turns out that's a real trick.
I tried this approach, but run into the problem:
The following specifications were found to be in conflict:
- graph-tool
Use "conda info <package>" to see the dependencies for each package.
Digging through the dependencies led to a dead-end at gobject-introspection
So I tried another approach:
Installed boost with conda, then tried to ./configure, make, and make install graph-tool... which got about as far as ./configure:
===========================
Using python version: 3.5.2
===========================
checking for boostlib >= 1.54.0... yes
checking whether the Boost::Python library is available... yes
checking whether boost_python is the correct library... no
checking whether boost_python-py27 is the correct library... no
checking whether boost_python-py27 is the correct library... (cached) no
checking whether boost_python-py27 is the correct library... (cached) no
checking whether boost_python-py35 is the correct library... yes
checking whether the Boost::IOStreams library is available... yes
configure: error: Could not link against boost_python-py35 !
I know this is something about environment variables for the ./configure command and conda installing libboost to Anaconda's weird place, I just don't know what to do, and my Google-fu is failing me. So this is another dead end.
Can anyone who's had to install graph-tool recently in linux-64 give me a walkthrough? It's a fresh VM running in VMWare Workstation 10.0.7

For those that run into similar issues, try changing the order of conda channels first with:
$ conda config --add channels ostrokach
$ conda config --add channels defaults
$ conda config --add channels conda-forge
then:
$ conda install graph-tool

Installing graph-tool 2.26 for Anaconda Python 3.5, Ubuntu 14.04.
Note: as of me writing this, the ostrokach channel conda install of graph-tool was only at version 2.18.
Here's the docker file I use to install graph-tool 2.26. There's likely a cleaner way, but so far this is the only thing I've managed to cobble together that actually works.
NOTE: If you're unfamiliar with docker files and you'd just like to do the install from the terminal, ignore the first line (starting with FROM), ignore every occurrence of the word RUN, and what you're left with is a series of commands to execute in a terminal.
FROM [your 14.04 base image]
RUN conda upgrade -y conda
RUN conda upgrade -y matplotlib
RUN \
add-apt-repository -y ppa:ubuntu-toolchain-r/test && \
apt-get update -y && \
apt-get install -y gcc-5 g++-5 && \
update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-5 60 --slave /usr/bin/g++ g++ /usr/bin/g++-5
RUN wget https://github.com/CGAL/cgal/archive/releases/CGAL-4.10.2.tar.gz && \
tar xzf CGAL-4.10.2.tar.gz && \
cd cgal-releases-CGAL-4.10.2/ && \
cmake . && \
make && \
make install
RUN cd /tmp && \
# note: master branch of repo appears relatively stable, has not been updated since 2016
git clone https://github.com/sparsehash/sparsehash.git && \
cd sparsehash && \
./configure && \
make && \
make install
RUN apt-get update
RUN apt-get install -y build-essential g++ python-dev autotools-dev libicu-dev build-essential libbz2-dev libboost-all-dev
RUN apt-get install -y autogen autoconf libtool shtool
# install boost
RUN cd /tmp && \
wget https://dl.bintray.com/boostorg/release/1.66.0/source/boost_1_66_0.tar.gz && \
tar xzvf boost_1_66_0.tar.gz && \
cd boost_1_66_0 && \
sudo ./bootstrap.sh --prefix=/usr/local && \
sudo ./b2 && \
sudo ./b2 install
# install newer cairo
RUN cd /tmp && \
wget https://cairographics.org/releases/cairo-1.14.12.tar.xz && \
tar xf cairo-1.14.12.tar.xz && \
cd cairo-1.14.12 && \
./configure && \
make && \
sudo make install
RUN cd /tmp && \
wget https://download.gnome.org/sources/libsigc++/2.99/libsigc++-2.99.10.tar.xz && \
tar xf libsigc++-2.99.10.tar.xz && \
cd libsigc++-2.99.10 && \
./configure && \
make && \
sudo make install && \
sudo cp ./sigc++config.h /usr/local/include/sigc++-3.0/sigc++config.h
RUN cd /tmp && \
wget https://www.cairographics.org/releases/cairomm-1.15.5.tar.gz && \
tar xf cairomm-1.15.5.tar.gz && \
cd cairomm-1.15.5 && \
./configure && \
make && \
sudo make install && \
sudo cp ./cairommconfig.h /usr/local/include/cairomm-1.16/cairomm/cairommconfig.h
RUN conda install -y -c conda-forge boost pycairo
RUN conda install -y -c numba numba=0.36.2
RUN conda install -y -c libboost py-boost && \
conda update -y cffi dbus expat pycairo pandas scipy numpy harfbuzz setuptools boost
RUN apt-get install -y apt-file dbus libdbus-1-dev && \
apt-file update
RUN apt-get install -y graphviz
RUN conda install -y -c conda-forge python-graphviz
RUN sudo apt-get install -y valgrind
RUN apt-get install -y libcgal-dev libcairomm-1.0 libcairomm-1.0-dev libcairo2-dev python-cairo-dev
RUN conda install -y -c conda-forge pygobject
RUN conda install -y -c ostrokach gtk
RUN cd /tmp && \
wget https://git.skewed.de/count0/graph-tool/repository/release-2.26/archive.tar.bz2 && \
bunzip2 archive.tar.bz2 && \
tar -xf archive.tar && \
cd graph-tool-release-2.26-b89e6b4e8c5dba675997d6f245b301292a5f3c59 && \
# Fix problematic parts of the graph-tool configure.ac file
sed -i 's/PKG_INSTALLDIR/#PKG_INSTALLDIR/' ./configure.ac && \
sed -i 's/AM_PATH_PYTHON(\[2\.7\])/AM_PATH_PYTHON(\[3\.5\])/' ./configure.ac && \
sed -i 's/\${PYTHON}/\/usr\/local\/anaconda3\/bin\/python/' ./configure.ac && \
sed -i '$a ACLOCAL_AMFLAGS = -I m4' ./Makefile.am && \
sudo ./autogen.sh && \
sudo ./configure CPPFLAGS="-I/usr/local/include -I/usr/local/anaconda3/pkgs/pycairo-1.15.4-py35h1b9232e_1/include -I/usr/local/include/cairo -I/usr/local/include/sigc++-3.0 -I/usr/include/freetype2" \
LDFLAGS="-L/usr/local/include -L/usr/local/lib/cairo -L/usr/local/include/sigc++-3.0 -L/usr/include/freetype2" \
PYTHON="/usr/local/anaconda3/bin/python" \
PYTHON_VERSION=3.5 \
sudo make && \
sudo make install
Warning: makeing graph-tool might take a couple hours and require >7 GB of ram.

Error installing pyV8 from source on ubuntu

when trying to install PyV8 in ubuntu, and type the command:
python setup.py build
then it display this error:
error: command 'c++' failed with exit status 1
anybody have solution about this?

Here is what I have in my Dockerfile. The following is tested and runs in production on top of Debian Stretch. I recommend using exactly the PyV8 / V8 setup that I'm using - I've spent at least a week to figure out which combination doesn't lead to memory leaks. I also recommend reading through the discussion and the JSContext fix here and here.
In short, support for PyV8 is almost non-existent - either you use it just as a toy, or you follow exactly this recipe, or you spend a significant amount of time and effort to fork the repo and make it better. If starting fresh, I recommend using Node-JS instead and communicate through some IPC method with Python.
ENV MY_HOME /home/forge
ENV MY_LIB $FORGE_HOME/lib
# preparing dependencies for V8 and PyV8
ENV V8_HOME $MY_LIB/v8
RUN apt-get update && \
apt-get install -y libboost-thread-dev \
libboost-all-dev \
libboost-dev \
libboost-python-dev \
autoconf \
libtool \
systemtap \
scons
# compiling an older version of boost, required for this version of V8
RUN mkdir -p $MY_LIB/boost && cd $MY_LIB/boost && \
wget http://sourceforge.net/projects/boost/files/boost/1.54.0/boost_1_54_0.tar.gz && tar -xvzf boost_1_54_0.tar.gz && cd $MY_LIB/boost/boost_1_54_0 && \
./bootstrap.sh && \
./b2 install --prefix=/usr/local --with-python --with-thread && \
ldconfig && \
ldconfig /usr/local/lib
# preparing gcc 4.9 - anything newer will lead to errors with the V8 codebase
ENV CC "gcc-4.9"
ENV CPP "gcc-4.9 -E"
ENV CXX "g++-4.9"
ENV PATH_BEFORE_V8 "${MY_HOME}/bin:${PATH}"
ENV PATH "${MY_HOME}/bin:${PATH}"
RUN echo "deb http://ftp.us.debian.org/debian/ jessie main contrib non-free" >> /etc/apt/sources.list && \
echo "deb-src http://ftp.us.debian.org/debian/ jessie main contrib non-free" >> /etc/apt/sources.list && \
apt-get update && \
apt-get install -y gcc-4.9 g++-4.9 && \
mkdir -p ${MY_HOME}/bin && cd ${MY_HOME}/bin && \
ln -s /usr/bin/${CC} ${MY_HOME}/bin/gcc && \
ln -s /usr/bin/${CC} ${MY_HOME}/bin/x86_64-linux-gnu-gcc && \
ln -s /usr/bin/${CXX} ${MY_HOME}/bin/g++ && \
ln -s /usr/bin/${CXX} ${MY_HOME}/bin/x86_64-linux-gnu-g++
# compiling a specific version of V8 and PyV8, since older combos lead to memory leaks
RUN git clone https://github.com/muellermichel/V8_r10452.git $V8_HOME && \
git clone https://github.com/muellermichel/PyV8_r429.git $MY_LIB/pyv8 && \
cd $MY_LIB/pyv8 && python setup.py build && python setup.py install
# cleaning up
RUN PATH=${PATH_BEFORE_V8} && \
head -n -2 /etc/apt/sources.list > ${MY_HOME}/sources.list.temp && \
mv ${MY_HOME}/sources.list.temp /etc/apt/sources.list && \
apt-get update
ENV PATH "${PATH_BEFORE_V8}"
ENV CC ""
ENV CPP ""
ENV CXX ""
older version that depends on the now defunct googlecode and was made for Ubuntu 12.04:
export MY_LIB_FOLDER=[PUT-YOUR-DESIRED-INSTALL-PATH-HERE]
apt-get install -y libboost-thread-dev
apt-get install -y libboost-all-dev
apt-get install -y libboost-dev
apt-get install -y libboost-python-dev
apt-get install -y git-core autoconf libtool systemtap
apt-get install -y subversion
apt-get install -y wget
mkdir -p $MY_LIB_FOLDER/boost && cd $MY_LIB_FOLDER/boost && wget http://sourceforge.net/projects/boost/files/boost/1.54.0/boost_1_54_0.tar.gz && tar -xvzf boost_1_54_0.tar.gz
cd $MY_LIB_FOLDER/boost/boost_1_54_0 && ./bootstrap.sh && ./b2 install --prefix=/usr/local --with-python --with-thread && ldconfig && ldconfig /usr/local/lib
svn checkout -r10452 http://v8.googlecode.com/svn/trunk/ $MY_LIB_FOLDER/v8
export V8_HOME=$MY_LIB_FOLDER/v8
svn checkout -r429 http://pyv8.googlecode.com/svn/trunk/ $MY_LIB_FOLDER/pyv8
git clone https://github.com/taguchimail/pyv8-linux-x64.git $MY_LIB_FOLDER/pyv8-taguchimail && cd $MY_LIB_FOLDER/pyv8-taguchimail && git checkout origin/stable
apt-get install -y scons
cd $MY_LIB_FOLDER/pyv8 && patch -p0 < $MY_LIB_FOLDER/pyv8-taguchimail/patches/pyv8.patch && python setup.py build && python setup.py install

Had the same problem and this worked for me:
export LIB=~
apt-get install -y curl libboost-thread-dev libboost-all-dev libboost-dev libboost-python-dev git-core autoconf libtool
svn checkout -r19632 http://v8.googlecode.com/svn/trunk/ $LIB/v8
export V8_HOME=$LIB/v8
svn checkout http://pyv8.googlecode.com/svn/trunk/ $LIB/pyv8 && cd $LIB/pyv8 && python setup.py build && python setup.py install
Solution found in comments here - https://code.google.com/p/pyv8/wiki/HowToBuild

I'm using a Debian based distro. Here's how I installed PyV8 (you'll need to
have git installed):
cd /usr/share
sudo git clone https://github.com/emmetio/pyv8-binaries.git
cd pyv8-binaries/
sudo unzip pyv8-linux64.zip
sudo cp -a PyV8.py _PyV8.so /usr/bin