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Data sketching and other magic tricks

This repository contains Jupyter notebooks for an interactive tutorial on hash-based probabilistic data structures. Here's how to run it:

The easy way

Use binder. (We don't recommend this if you'll be running the tutorial over conference wifi, but it requires almost no setup and can run from a computer that only has a browser.)

The flexible way

Install the prerequisites

  1. Make sure you have Python 3.7 installed, installing it if necessary
    • If you have a favorite package manager, use that
    • if not, python.org has binaries for many platforms
  2. Make sure you have git installed, installing it if necessary
    • If you have a favorite package manager, use that
    • if not, git-scm.com has binaries for many platforms (you won't need a GUI)
  3. Install pipenv
    • on a Mac, the easiest way is probably brew install pipenv
    • on a Fedora Linux machine, the easiest way is probably dnf install pipenv
    • on Windows, if you have Python installed already, the easiest way is probably to use pip

Install the notebooks and dependencies

  1. Clone this repository: git clone https://github.com/willb/data-sketching-and-other-magic-tricks/
  2. Change to this repository's directory: cd data-sketching-and-other-magic tricks
  3. Install the dependencies: pipenv install
  4. Run the notebooks: pipenv run jupyter notebook

Binder

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Materials for a workshop on hash-based sketches

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