Julia & graphic enthusiast. Interested in high performance computing, GPUs and machine learning.

Julia Python Image

CONDA_VER="4.5.4"

curl -sSL -o ~/anaconda.sh \
    https://repo.continuum.io/miniconda/Miniconda3-${CONDA_VER}-Linux-x86_64.sh
/bin/bash ~/anaconda.sh -b -p /opt/conda
rm ~/anaconda.sh
# make this the last alphabetically => lowest precedence libraries
echo "/opt/conda/lib" >> /etc/ld.so.conf.d/zz-conda.conf

conda config --set always_yes True

printf "[global]\ndisable-pip-version-check = True\n" > /etc/pip.conf

echo 'pip >=19.1' > /opt/conda/conda-meta/pinned # prevent pip downgrade

# upgrade Python within minor version
PYTHON_MINOR=`python --version 2>&1 | sed 's/Python //;s/.[0-9] ::.*//;'`
echo "python =$PYTHON_MINOR" >> /opt/conda/conda-meta/pinned

conda update python
conda update -yn base conda
conda clean -qtipy

ldconfig

python -V
pip -V
conda install -c matplotlib  numpy jupyter

conda clean -qtipy

ldconfig

pip install --upgrade jupyter-client

python -V
pip -V
jupyter --version
jupyter kernelspec list
jupyter --paths
pip install julia https://github.com/tkf/ipyjulia_hacks/archive/master.zip#egg=ipyjulia_hacks
]add PyCall
using PyCall
PyCall.current_python()
"/opt/conda/bin/python3"
import julia
julia.install()               # install PyCall.jl etc.
from julia import Base        # short demo
println(Base.sind(90))
Julia
write("test.py", """
import julia
from julia.api import Julia
jl = Julia(compiled_modules=False)

#julia.install()         # install PyCall.jl etc.
from julia import Base   # short demo
print(Base.sind(90))
""")
186
python3 test.py
import julia
from julia.api import Julia
jl = Julia(compiled_modules=False)
#julia.install()         # install PyCall.jl etc.
from julia import Main
from julia import Base   # short demo
print(Base.sind(90))
Main.eval("Dict(:a => 22)")
from julia import Colors
from julia import ImageShow
class Bla:
  def _repr_png_(self):
    img = Main.rand(Colors.RGB, 100, 100)
    return Main.repr(Main.eval('MIME"image/png"()'), img)
  
Bla()