diff --git a/README.md b/README.md index e8e35d2..c35ba5e 100644 --- a/README.md +++ b/README.md @@ -1,34 +1,27 @@ Jupyter notebook worksheets to accompany [*Data Science: A First Introduction*](https://datasciencebook.ca) by -Tiffany Timbers, Trevor Campbell and Melissa Lee. To use these worksheets, you can either: +Tiffany Timbers, Trevor Campbell and Melissa Lee. To use these worksheets: -1. Click on a "launch binder" button to open an interactive, but non-persistent, version of the notebook. +1. Download this repository by clicking [here](https://github.com/UBC-DSCI/data-science-a-first-intro-worksheets/archive/refs/heads/main.zip). +2. Follow our computer setup instructions [here](https://datasciencebook.ca/setup.html). -2. Download this repository by clicking [here](https://github.com/UBC-DSCI/data-science-a-first-intro-worksheets/archive/refs/heads/main.zip) and follow our computer setup instructions [here](https://datasciencebook.ca/setup.html). The setup instructions should be followed to guarantee that your software environment is compatible with the worksheets. +The setup instructions should be followed to guarantee that your software environment is compatible with the worksheets. +We also recommend reading our [Combining code and text with Jupyter chapter](https://datasciencebook.ca/jupyter.html) before starting out. -Regardless of the method you choose to access them, we also recommend reading our [Combining code and text with Jupyter chapter](https://datasciencebook.ca/jupyter.html) before starting out. - -| Book chapter | View worksheet on GitHub | Launch worksheet on myBinder.org | -|--------------|-----------|----| -| [R and the tidyverse](https://datasciencebook.ca/intro.html) | [view worksheet](worksheet_intro/worksheet_intro.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/UBC-DSCI/data-science-a-first-intro-worksheets/HEAD?labpath=worksheet_intro%2Fworksheet_intro.ipynb) | -| [Reading in data locally and from the web](https://datasciencebook.ca/reading.html) | [view worksheet](worksheet_reading/worksheet_reading.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/UBC-DSCI/data-science-a-first-intro-worksheets/HEAD?labpath=worksheet_reading%2Fworksheet_reading.ipynb) | -| [Cleaning and wrangling data](https://datasciencebook.ca/wrangling.html) | [view worksheet](worksheet_wrangling/worksheet_wrangling.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/UBC-DSCI/data-science-a-first-intro-worksheets/HEAD?labpath=worksheet_wrangling%2Fworksheet_wrangling.ipynb) | -| [Effective data visualization](https://datasciencebook.ca/viz.html) | [view worksheet](worksheet_viz/worksheet_viz.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/UBC-DSCI/data-science-a-first-intro-worksheets/HEAD?labpath=worksheet_viz%2Fworksheet_viz.ipynb) | -| [Classification I: training & predicting](https://datasciencebook.ca/classification1.html) | [view worksheet](worksheet_classification1/worksheet_classification1.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/UBC-DSCI/data-science-a-first-intro-worksheets/HEAD?labpath=worksheet_classification1%2Fworksheet_classification1.ipynb)| -| [Classification II: evaluation & tuning](https://datasciencebook.ca/classification2.html) | [view worksheet](worksheet_classification2/worksheet_classification2.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/UBC-DSCI/data-science-a-first-intro-worksheets/HEAD?labpath=worksheet_classification2%2Fworksheet_classification2.ipynb) | -| [Regression I: K-nearest neighbors](https://datasciencebook.ca/regression1.html) | [view worksheet](worksheet_regression1/worksheet_regression1.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/UBC-DSCI/data-science-a-first-intro-worksheets/HEAD?labpath=worksheet_regression1%2Fworksheet_regression1.ipynb) | -| [Regression II: linear regression](https://datasciencebook.ca/regression2.html) | [view worksheet](worksheet_regression2/worksheet_regression2.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/UBC-DSCI/data-science-a-first-intro-worksheets/HEAD?labpath=worksheet_regression2%2Fworksheet_regression2.ipynb) | -| [Clustering](https://datasciencebook.ca/clustering.html) | [view worksheet](worksheet_clustering/worksheet_clustering.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/UBC-DSCI/data-science-a-first-intro-worksheets/HEAD?labpath=worksheet_clustering%2Fworksheet_clustering.ipynb) | -| [Statistical inference (sampling)](https://datasciencebook.ca/inference.html) | [view worksheet](worksheet_inference1/worksheet_inference1.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/UBC-DSCI/data-science-a-first-intro-worksheets/HEAD?labpath=worksheet_inference1%2Fworksheet_inference1.ipynb) | -| [Statistical inference (bootstrapping)](https://datasciencebook.ca/inference.html) | [view worksheet](worksheet_inference2/worksheet_inference2.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/UBC-DSCI/data-science-a-first-intro-worksheets/HEAD?labpath=worksheet_inference2%2Fworksheet_inference2.ipynb) | -| [Collaboration with version control](https://datasciencebook.ca/version-control.html) | [view worksheet](worksheet_version_control/worksheet_version_control.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/UBC-DSCI/data-science-a-first-intro-worksheets/HEAD?labpath=worksheet_version_control%2Fworksheet_version_control.ipynb) | +| Book chapter | View worksheet on GitHub | +|--------------|-----------| +| [R and the tidyverse](https://datasciencebook.ca/intro.html) | [view worksheet](worksheet_intro/worksheet_intro.ipynb) | +| [Reading in data locally and from the web](https://datasciencebook.ca/reading.html) | [view worksheet](worksheet_reading/worksheet_reading.ipynb) | +| [Cleaning and wrangling data](https://datasciencebook.ca/wrangling.html) | [view worksheet](worksheet_wrangling/worksheet_wrangling.ipynb) | +| [Effective data visualization](https://datasciencebook.ca/viz.html) | [view worksheet](worksheet_viz/worksheet_viz.ipynb) | +| [Classification I: training & predicting](https://datasciencebook.ca/classification1.html) | [view worksheet](worksheet_classification1/worksheet_classification1.ipynb) | +| [Classification II: evaluation & tuning](https://datasciencebook.ca/classification2.html) | [view worksheet](worksheet_classification2/worksheet_classification2.ipynb) | +| [Regression I: K-nearest neighbors](https://datasciencebook.ca/regression1.html) | [view worksheet](worksheet_regression1/worksheet_regression1.ipynb) | +| [Regression II: linear regression](https://datasciencebook.ca/regression2.html) | [view worksheet](worksheet_regression2/worksheet_regression2.ipynb) | +| [Clustering](https://datasciencebook.ca/clustering.html) | [view worksheet](worksheet_clustering/worksheet_clustering.ipynb) | +| [Statistical inference (sampling)](https://datasciencebook.ca/inference.html) | [view worksheet](worksheet_inference1/worksheet_inference1.ipynb) | +| [Statistical inference (bootstrapping)](https://datasciencebook.ca/inference.html) | [view worksheet](worksheet_inference2/worksheet_inference2.ipynb) | +| [Collaboration with version control](https://datasciencebook.ca/version-control.html) | [view worksheet](worksheet_version_control/worksheet_version_control.ipynb) | ### Licence [Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/) -### Acknowledgments -We would like to thank the [BinderHub Federation](https://mybinder.readthedocs.io/en/latest/about/federation.html#the-binderhub-federation) for their kind and generous support of [mybinder.org](https://mybinder.org/). The interactive versions of these notebooks would not be possible without their efforts. - -### References -Jupyter et al., "Binder 2.0 - Reproducible, Interactive, Sharable -Environments for Science at Scale." Proceedings of the 17th Python -in Science Conference. 2018. doi://10.25080/Majora-4af1f417-011