diff options
| author |  swfarnsworth <[email protected]> | 2021-07-04 21:40:11 -0400 |
|---|---|---|
| committer | swfarnsworth <[email protected]> | 2021-07-04 21:40:11 -0400 |
| commit | 46339104514772724d672aec8b6ffe6bf7789f30 (patch) | |
| tree | 0446560755fb76957e327423d88e5d715de1ac6e | |
| parent | Add final line break for style compliance. (diff) | |
Add resource Data Science from Scratch.
| -rw-r--r-- | pydis_site/apps/resources/resources/data_science_from_scratch.yaml | 24 |
1 files changed, 24 insertions, 0 deletions
diff --git a/pydis_site/apps/resources/resources/data_science_from_scratch.yaml b/pydis_site/apps/resources/resources/data_science_from_scratch.yaml new file mode 100644 index 00000000..14cba1f4 --- /dev/null +++ b/pydis_site/apps/resources/resources/data_science_from_scratch.yaml @@ -0,0 +1,24 @@ +description: Data Science from Scratch is a good introduction to data science for the complete beginner, and covers + some of the fundamentals of Python programming as well as the basic math, probability and statistics needed to get + started. While either edition of this book is useful for those with prior Python experience, complete beginners + should use the second edition, which contains more up-to-date code examples and better practices. +name: Data Science from Scratch +urls: + - icon: regular/link + url: https://www.oreilly.com/library/view/data-science-from/9781492041122/ + color: teal + - icon: branding/goodreads + url: https://www.goodreads.com/en/book/show/52059715-data-science-from-scratch + color: goodreads-cream + - icon: branding/github + url: https://github.com/joelgrus/data-science-from-scratch + color: black +tags: + topics: + - data science + payment_tiers: + - paid + complexity: + - beginner + type: + - book |