https://github.com/ezmiller/dtype-next-workshop-starter

Starter template for the Re:Clojure / SciCloj dtype-next workshop in November 2021
https://github.com/ezmiller/dtype-next-workshop-starter

Last synced: about 7 hours ago
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Starter template for the Re:Clojure / SciCloj dtype-next workshop in November 2021

• Host: GitHub
• URL: https://github.com/ezmiller/dtype-next-workshop-starter
• Owner: ezmiller
• Created: 2021-11-01T07:37:54.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2022-11-27T22:59:43.000Z (almost 2 years ago)
• Last Synced: 2024-05-01T21:34:55.115Z (7 months ago)
• Language: Clojure
• Size: 13.7 KB
• Stars: 4
• Watchers: 4
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# dtype-next-workshop-starter

This is a repository template for the re:Clojure / SciCloj workshop

"Wrangling Arrays with dtype-next", given in association with the

[2021 re:Clojure conference](https://www.reclojure.org/#speakers), and

developed by [David Sletten]() and [Ethan

Miller](http://ethanzanemiller.com)

## Workshop description

This workshop will introduce dtype-next, explain its position in the

Clojure data science ecosystem, and introduce the key concepts and

techniques necessary for working with its performant buffers/arrays.

## What is this Template Repository?

This is a github template repository. That means you can use this

repository to create a new repository of your own in order to play

around with dtype-next further. See

[here](https://docs.github.com/en/repositories/creating-and-managing-repositories/creating-a-repository-from-a-template)

for a guide on how to create a repository from this template.

What is in this repository?

* A `deps.edn` file containing the dependencies you need to work with

  dtype-next. Really this is just one dependence: the

  [`tech.ml.dataset`](https://github.com/techascent/tech.ml.dataset)

  library -- that provides a column-based dataset for data analysis --

  and which includes the latest stable version of dtype-next.

* A namespace for starting your own exploration that already includes

  typical require statements for dtype-next, i.e.

  `src/playground/main.clj`.

  

* The code that we will cover in our workshop, see the

  `src/workshop/*`.

## A Few Suggested Exercises

1. Create a buffer containing a fibonacci sequence using the

   `make-reader` function.

1. Try to use the `argfilter` and `indexed-buffer` functions to filter

   a numerical buffer by a `<` or `>` operation on the existing values.

   

Try to complete some of these exercises for Numpy using dtype-next:

[link](https://www.machinelearningplus.com/python/101-numpy-exercises-python/)