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| -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 |