Googlielmo's blog

Colab is the Google's platform for working with Python notebooks and practice Deep Learning using different frameworks. It is a powerful platform, there is availability of GPUs or TPUs, it allows to use your Google Drive space for notebooks and data, has a friendly user interface and lots of useful features, but in order to install/update Python packages, it comes by default only with pip and no availability for conda . If you need to import a Python package which is available in Anaconda , but not in PyPi you need to install Anaconda or Miniconda yourself from a notebook. In this post I am explaining the simple steps to do it. Anaconda installation Create your notebook and from a code cell download the Anaconda installer: !wget -c https://repo.continuum.io/archive/Anaconda3-5.1.0-Linux-x86_64.sh This is the version that works fine for me. I have tried also with the latest release 2019.10, but the configuration then would have extra complexity. Now you need to make the do...

During last Spark+AI Summit Europe 2019 I had a chance to attend a talk from Miguel Martinez  who was presenting Rapids , the new Open Source framework from NVIDIA for GPU accelerated end-to-end Data Science and Analytics. Fig. 1 - Overview of the Rapids eco-system Rapids is a suite of Open Source libraries: cuDF cuML cuGraph cuXFilter I enjoied the presentation and liked the idea of this initiative, so I wanted to start playing with the Rapids libraries in Python on Colab , starting from cuDF, but the first attempt came with an issue that I eventually solved. So in this post I am going to share how I fixed it, with the hope it would be useful to someone else running into the same blocker. I am assuming here you are already familiar with Google Colab. I am using Python 3.x as Python 2 isn't supported by Rapids. Once you have created a new notebook in Colab, you need to check if the runtime for it is set to use Python 3 and uses a GPU as hardware accelerator. You...