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https://github.com/astrojuanlu/talk-dataframes
Talk "Beyond pandas: The great Python dataframe showdown"
https://github.com/astrojuanlu/talk-dataframes
Last synced: about 2 months ago
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Talk "Beyond pandas: The great Python dataframe showdown"
- Host: GitHub
- URL: https://github.com/astrojuanlu/talk-dataframes
- Owner: astrojuanlu
- Created: 2022-05-25T00:47:39.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-09-30T12:17:19.000Z (about 2 years ago)
- Last Synced: 2024-10-14T19:59:17.649Z (2 months ago)
- Language: Jupyter Notebook
- Homepage: https://nbviewer.org/format/slides/github/astrojuanlu/talk-dataframes/blob/main/slides.ipynb
- Size: 6.13 MB
- Stars: 37
- Watchers: 3
- Forks: 6
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Beyond pandas: The great Python dataframe showdown
Talk "Beyond pandas: The great Python dataframe showdown" plus demo Orchest pipelines.
[![Open in Orchest](https://github.com/orchest/orchest-examples/raw/main/imgs/open_in_orchest.svg)](https://cloud.orchest.io/?import_url=https://github.com/astrojuanlu/talk-dataframes/)
Slides: https://nbviewer.org/format/slides/github/astrojuanlu/talk-dataframes/blob/main/slides.ipynb
Support blog posts:
- [The great Python dataframe showdown, part 1: Demystifying Apache Arrow](https://www.orchest.io/blog/the-great-python-dataframe-showdown-part-1-demystifying-apache-arrow)
- [The great Python dataframe showdown, part 2: out-of-core processing with Vaex](https://www.orchest.io/blog/the-great-python-dataframe-showdown-part-2-out-of-core-processing-with-vaex)
- [The great Python dataframe showdown, part 3: Lightning-fast queries with Polars](https://www.orchest.io/blog/the-great-python-dataframe-showdown-part-3-lightning-fast-queries-with-polars)![Pipeline visualization](https://pviz.orchest.io/?pipeline=https://github.com/astrojuanlu/talk-dataframes/blob/master/main.orchest)
## Slides
To convert the slides:
```
$ jupyter nbconvert slides.ipynb --to slides --template orchest --TemplateExporter.extra_template_basedirs=./share/jupyter/nbconvert/templates
```