https://github.com/ibis-project/ibis-tutorial

Ibis tutorial repository
https://github.com/ibis-project/ibis-tutorial

analytics data database duckdb ibis postgres pycon2024 python sql tutorial

Last synced: 3 months ago
JSON representation

Ibis tutorial repository

• Host: GitHub
• URL: https://github.com/ibis-project/ibis-tutorial
• Owner: ibis-project
• Created: 2023-08-03T22:34:20.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-07-08T14:30:24.000Z (7 months ago)
• Last Synced: 2024-07-09T01:09:22.466Z (7 months ago)
• Topics: analytics, data, database, duckdb, ibis, postgres, pycon2024, python, sql, tutorial
• Language: Jupyter Notebook
• Homepage:
• Size: 411 KB
• Stars: 23
• Watchers: 5
• Forks: 10
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Ibis Tutorial SciPy 2024

Previous iterations of this tutorial have been given at:

- PyCon 2024 ([YouTube recording](https://youtu.be/1ND6COslBKU))

- PyData NYC 2023 ([YouTube recording](https://youtu.be/TyopbrmlZx8))

- EuroSciPy 2023 ([YouTube recording](https://youtu.be/tkejUD5Uq40))

## Join our Zulip!

The Ibis team uses Zulip to answer questions and chat!  You can join using this

invitation link:

https://ibis-project.zulipchat.com/join/3pri2odw4bt4764icmphtdv6/

## Codespace Setup

This tutorial is designed to be run via GitHub codespaces.

First, create a codespace in the repository:

![](https://github.com/ibis-project/ibis-tutorial/assets/3596999/46349375-948d-453c-b02b-c0f6b8d76b9d)

Then, click back to the repo tab, and then select `Open in JupyterLab`

![](https://github.com/ibis-project/ibis-tutorial/assets/3596999/ca5b926f-7794-4948-ade3-2a9be4edd69a)

## Local Setup

You can also run the tutorial locally!  To do so, you'll want to create a

virtual environment and then install the tutorial dependencies using one of the

tools below:

### Clone this repository

```sh

git clone https://github.com/ibis-project/ibis-tutorial.git

cd ibis-tutorial

```

### Install dependencies

We recommend using `pixi`, or `conda` / `mamba`, but `pip` works, too!

#### pixi

The first time you run this it should download all the required dependencies.

``` sh

pixi shell

```

#### conda / mamba

```sh

mamba env create -f environment.yml

```

#### pip

```sh

python -m pip install -r requirements.txt

```