Part 5 of a 7-part series on running Jupyter on OpenShift - learn how to perform ad-hoc package installation using persistent volumes. Jupyter is one of the most popular data science tools around. It's an essential in helping data scientists manage their projects and even work together. Take a look inside Jupyter and find out how to get started quickly. Jupyter Notebook files end with a “.ipynb” file suffix, but you can use the directory explorer to preview and edit most text-based files. R Kernel for Jupyter. Contribute to JuniperKernel/JuniperKernel development by creating an account on GitHub. JupyterLab computational environment. Contribute to jupyterlab/jupyterlab development by creating an account on GitHub. OpenRefine is a free, open source power tool for working with messy data and improving it - OpenRefine/OpenRefine
jupyter/ipython notebooks demonstrating Pysal functionality - pysal/notebooks
Written by Dan Park the 03 Feb 2019 - Tagged: Guide | Python | AWS | Jupyter To run any Jupyter Notebook, you will need to install Jupyter. The easiest way to do this is by installing Anaconda: https://www.anaconda.com/download/ One of the ideas pitched by Daniel Mietchen at the London Open Research Data do-a-thon for Open Data Day 2017 was to analyse Jupyter Notebooks mentioned in PubMed Central. Jupyter Notebook (GraphFrames and NetworkX) This notebook is shipped by the bitcoin-notebook container and it is called blockchain.ipynb.
jupyter/ipython notebooks demonstrating Pysal functionality - pysal/notebooks
You can create new folders to store the downloaded datasets and other Jupyter Notebook files (*.ipynb), -that you might need if you want to work online with the data. In the fourth installment of this series, learn how to connect a (Sagemaker) Juypter Notebook to Snowflake via the Spark connector. They are freely available to be downloaded by anyone at any time, and run on any appropriately configured computer. In most cases, additional packages will need to be added and each notebook will give instructions for adding the appropriate… Jupyter Notebook on Raspberry Pi: About Jupyter NotebookThe Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text.
You can create your own IPython project files from the New tab in the top right corner of the Jupyter Project file browser and get started hacking away.
JupyterLab computational environment. Contribute to jupyterlab/jupyterlab development by creating an account on GitHub.
Jupyter (né IPython) notebook files are simple JSON documents, containing text, source code, rich media output, and metadata. You can create new folders to store the downloaded datasets and other Jupyter Notebook files (*.ipynb), -that you might need if you want to work online with the data. In the fourth installment of this series, learn how to connect a (Sagemaker) Juypter Notebook to Snowflake via the Spark connector.
Environment OS: Ubuntu 16.04 (nvidia/cuda:8.0-cudnn6-devel) Python version: 3.6.5 Conda version: conda 4.5.10 Pip version: pip 18.0 Description Pip install stopped working during docker build of a complex docker container (based on Kaggl.
JupyterLab computational environment. Contribute to jupyterlab/jupyterlab development by creating an account on GitHub. OpenRefine is a free, open source power tool for working with messy data and improving it - OpenRefine/OpenRefine Create interactive screencasts inside Jupyter Notebook that anybody can play back - willkessler/jupytergraffiti