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Julia #10

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6 changes: 5 additions & 1 deletion .gitignore
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Expand Up @@ -18,6 +18,7 @@
# knitr and R markdown default cache directories
*_cache/
/cache/
/_freeze/

# Temporary files created by R markdown
*.utf8.md
Expand All @@ -43,4 +44,7 @@ rsconnect/
.DS_Store

# scratch folder
SCRATCH/
SCRATCH/

# julia
Manifest.toml
5 changes: 5 additions & 0 deletions Project.toml
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[deps]
Chain = "8be319e6-bccf-4806-a6f7-6fae938471bc"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
DuckDB = "d2f5444f-75bc-4fdf-ac35-56f514c445e1"
15 changes: 14 additions & 1 deletion README.md
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# Clone of Original Repository!

This repo is a clone of [https://github.com/grantmcdermott/duckdb-polars](https://github.com/grantmcdermott/duckdb-polars).


# (Pretty) big data wrangling with DuckDB and Polars


- These materials were prepared as part of the
[Workshops for Ukraine](https://sites.google.com/view/dariia-mykhailyshyna/main/r-workshops-for-ukraine#h.xc2x33lbfxln)
series.
Expand Down Expand Up @@ -35,4 +42,10 @@ wrangling -> analysis).
_Disclaimer: The content for this workshop has been prepared, and is presented,
in my personal capacity. Any opinions expressed herein are my own and are not
necessarily shared by my employer. Please do not share any recorded material
without the express permission of myself or the workshop organisers._
without the express permission of myself or the workshop organisers._



### Meta info

* to get quarto to run with conda env, look at [this](https://thedatasavvycorner.com/blogs/08-quarto-conda-env)
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