René's URL Explorer Experiment

Title: Data as Code

Generator: mkdocs-1.6.1, mkdocs-material-9.6.11

Links:

Skip to content	https://data-as-code.github.io/docs/#data-as-code
	https://data-as-code.github.io/docs/
GitHub	https://github.com/data-as-code/docs
	https://data-as-code.github.io/docs/
GitHub	https://github.com/data-as-code/docs
Home	https://data-as-code.github.io/docs/
Consumer - Data Scientist	https://data-as-code.github.io/docs/#consumer-data-scientist
Grab the data with the snap of a finger: load	https://data-as-code.github.io/docs/#grab-the-data-with-the-snap-of-a-finger-load
Meet the Schema Class: Your Data’s Best Friend	https://data-as-code.github.io/docs/#meet-the-schema-class-your-datas-best-friend
Producer - Data Engineer	https://data-as-code.github.io/docs/#producer-data-engineer
Write the library	https://data-as-code.github.io/docs/#write-the-library
1. Start from scratch	https://data-as-code.github.io/docs/#1-start-from-scratch
Public function load	https://data-as-code.github.io/docs/#public-function-load
Data must pass Schema.validate()	https://data-as-code.github.io/docs/#data-must-pass-schemavalidate
[Nice to have] Schema contains column names	https://data-as-code.github.io/docs/#nice-to-have-schema-contains-column-names
[Nice to have] Schema.example method	https://data-as-code.github.io/docs/#nice-to-have-schemaexample-method
2. Use the template	https://data-as-code.github.io/docs/#2-use-the-template
3. Use the dac CLI tool	https://data-as-code.github.io/docs/#3-use-the-dac-cli-tool
Template vs. dac pack	https://data-as-code.github.io/docs/#template-vs-dac-pack
Make Releases	https://data-as-code.github.io/docs/#make-releases
Why distributing Data as Code?	https://data-as-code.github.io/docs/#why-distributing-data-as-code
Consumer - Data Scientist	https://data-as-code.github.io/docs/#consumer-data-scientist
Grab the data with the snap of a finger: load	https://data-as-code.github.io/docs/#grab-the-data-with-the-snap-of-a-finger-load
Meet the Schema Class: Your Data’s Best Friend	https://data-as-code.github.io/docs/#meet-the-schema-class-your-datas-best-friend
Producer - Data Engineer	https://data-as-code.github.io/docs/#producer-data-engineer
Write the library	https://data-as-code.github.io/docs/#write-the-library
1. Start from scratch	https://data-as-code.github.io/docs/#1-start-from-scratch
Public function load	https://data-as-code.github.io/docs/#public-function-load
Data must pass Schema.validate()	https://data-as-code.github.io/docs/#data-must-pass-schemavalidate
[Nice to have] Schema contains column names	https://data-as-code.github.io/docs/#nice-to-have-schema-contains-column-names
[Nice to have] Schema.example method	https://data-as-code.github.io/docs/#nice-to-have-schemaexample-method
2. Use the template	https://data-as-code.github.io/docs/#2-use-the-template
3. Use the dac CLI tool	https://data-as-code.github.io/docs/#3-use-the-dac-cli-tool
Template vs. dac pack	https://data-as-code.github.io/docs/#template-vs-dac-pack
Make Releases	https://data-as-code.github.io/docs/#make-releases
Why distributing Data as Code?	https://data-as-code.github.io/docs/#why-distributing-data-as-code
	https://github.com/data-as-code/docs/edit/main/docs/index.md
¶	https://data-as-code.github.io/docs/#data-as-code
¶	https://data-as-code.github.io/docs/#consumer-data-scientist
this section	https://data-as-code.github.io/docs/#make-releases
¶	https://data-as-code.github.io/docs/#grab-the-data-with-the-snap-of-a-finger-load
¶	https://data-as-code.github.io/docs/#meet-the-schema-class-your-datas-best-friend
pandera	https://pandera.readthedocs.io/en/stable/index.html
this section	https://data-as-code.github.io/docs/#nice-to-have-schemaexample-method
¶	https://data-as-code.github.io/docs/#producer-data-engineer
pandera	https://pandera.readthedocs.io/en/stable/index.html
DataFrameModel	https://pandera.readthedocs.io/en/stable/dataframe_models.html
¶	https://data-as-code.github.io/docs/#write-the-library
¶	https://data-as-code.github.io/docs/#1-start-from-scratch
¶	https://data-as-code.github.io/docs/#public-function-load
¶	https://data-as-code.github.io/docs/#data-must-pass-schemavalidate
¶	https://data-as-code.github.io/docs/#nice-to-have-schema-contains-column-names
¶	https://data-as-code.github.io/docs/#nice-to-have-schemaexample-method
Consumer	https://data-as-code.github.io/docs/#consumer-data-scientist
¶	https://data-as-code.github.io/docs/#2-use-the-template
Copier	https://copier.readthedocs.io/en/stable/
Check out the template	https://gitlab.com/data-as-code/template/src
dac	https://github.com/data-as-code/dac
¶	https://data-as-code.github.io/docs/#3-use-the-dac-cli-tool
Explore the dac CLI tool	https://github.com/data-as-code/dac
¶	https://data-as-code.github.io/docs/#template-vs-dac-pack
¶	https://data-as-code.github.io/docs/#make-releases
¶	https://data-as-code.github.io/docs/#why-distributing-data-as-code
Material for MkDocs	https://squidfunk.github.io/mkdocs-material/

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URLs of crawlers that visited me.