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1313``` sh
1414calkit run
1515```
16-
17- ## Steps to recreate
18-
19- 1 . Create a new project on [ calkit.io] ( https://calkit.io ) .
20- 1 . ` calkit new question "Can we make reproducibility simple?" ` .
21- 1 . Create a Conda environment with
22- ` calkit new conda-env -n calkit-example-basic python matplotlib numpy pandas ` .
23- 1 . Create the data collection stage with:
24- ``` sh
25- dvc stage add -n collect-data \
26- -o data/raw/data.csv -d \
27- scripts/collect-data.py \
28- " calkit runenv -n calkit-example-basic -- python scripts/collect-data.py"
29- ```
30- 1. ` calkit run && git add . && calkit save -am " Run pipeline" `
31- 1. Add a script and DVC stage to create a figure, similar to the two steps
32- above.
33- 1. Add the figure and dataset to ` calkit.yaml` by editing the ` figures`
34- and ` datasets` section manually.
35- 1. Create a new LaTeX publication and Docker environment using the
36- ` latex/article` template.
37- See the
38- [docs](https://github.com/calkit/calkit/blob/main/docs/tutorials/adding-latex-pub-docker.md).
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