Kyso's default docker image
Here are details on the Kyso docker image that we run when you start a new container on Kyso. Its a comprehensive image for doing data-science and machine learning with python.
With Kyso you can pick and choose as many CPU's and GPU's as you want, and we give you a ready-made environment for doing data-science with python (python3). We include many typical programs like git and nano, and many python libraries like Jupyter, Tensorflow, Numpy, Scipy and Pandas. We also include plotting libraries like Matplotlib, Seaborn, Plotly and Bokeh.
Here is a list of relevant programs and python libraries installed on the environment. Contact us on firstname.lastname@example.org if you want to request extra programs/libraries.
python-pip python python-dev python3 python3-dev python3-pip git gfortran libblas-dev liblapack-dev libatlas-base-dev libxml2-dev libxslt1-dev libreadline6 libreadline6-dev build-essential curl libjpeg8 libjpeg8-dev libfreetype6 libfreetype6-dev zlib1g-dev pkg-config libffi-dev python-pip curl wget gcc libhdf5-serial-dev nano
Here is a list of all the python libraries installed, currently they all get installed using the 'pip3' command, so will work best with python3.
numpy jupyter pyzmq scipy pandas pandas-datareader matplotlib statsmodels scikit-learn seaborn nltk gensim Flask django sympy bokeh networkx theano requests beautifulsoup4 jupyter_contrib_nbextensions jupyter_nbextensions_configurator jupyter_kernel_gateway ipyleaflet bqplot ipyvolume pythreejs pymc3 jupyter_dashboards dumb-init dash>=0.17.7 dash-renderer>=0.7.3 dash-html-components>=0.6.2 dash-core-components>=0.5.3 plotly>=2.0.12 ipywidgets===5.2.3 tensorflow h5py keras