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Data Science from Scratch: First Principles with Python
May 13, 2026 ·
20m 9s
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Data Science from Scratch: First Principles with Python
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Description
Emphasizes a "from scratch" approach, where readers learn the field's foundations by manually building tools and implementing algorithms rather than relying solely on pre-existing libraries. The author transitions the curriculum...
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Emphasizes a "from scratch" approach, where readers learn the field's foundations by manually building tools and implementing algorithms rather than relying solely on pre-existing libraries. The author transitions the curriculum to Python 3.6, introducing modern features like type annotations and f-strings to promote cleaner code. Early chapters use a hypothetical social network called DataSciencester to demonstrate practical data problems, such as finding key connectors or predicting salaries. Furthermore, the source includes a comprehensive Python crash course designed to prepare students for more advanced technical topics in statistics and machine learning. Overall, the book serves as a pedagogical guide for those with some mathematical and programming aptitude to master the first principles of data science.
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You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/1492041130?&linkCode=ll2&tag=cvthunderx-20&linkId=6a80cfa01a1dfc03e0f6ac710a0a670b&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
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