{"title":"Computer \u0026 Technology Books","description":null,"products":[{"product_id":"data-science-from-scratch-2nd-edition","title":"Data Science from Scratch: First Principles with Python, 2nd Edition – Paperback by Joel Grus","description":"\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eData Science from Scratch: First Principles with Python, 2nd Edition\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e by Joel Grus is a practical introduction to the fundamental concepts and techniques of data science. Published by O’Reilly Media, this book helps readers understand how data science methods work by building core algorithms and tools from the ground up using Python.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe book explores essential topics such as data visualization, probability, statistics, linear algebra, hypothesis testing, machine learning, natural language processing, and neural networks. Through clear explanations and hands-on coding examples, readers learn how to implement important techniques and understand the mathematical principles behind them.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eRather than relying entirely on prebuilt libraries, the book emphasizes developing algorithms step by step. This approach helps readers build a stronger understanding of data analysis, predictive modeling, and machine learning while improving their Python programming and problem-solving skills.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eData Science from Scratch, 2nd Edition\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e is suitable for programmers, students, aspiring data scientists, analysts, and self-learners who want to develop a solid foundation in data science and understand the methods behind common analytical tools.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cspan\u003eKey Features\u003c\/span\u003e\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cspan\u003eIntroduces fundamental data science concepts using Python.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cspan\u003eCovers probability, statistics, linear algebra, and hypothesis 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Details\u003c\/span\u003e\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cspan\u003eDetail\u003c\/span\u003e\u003c\/th\u003e\n\u003cth\u003e\u003cspan\u003eInformation\u003c\/span\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003cspan\u003eTitle\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eData Science from Scratch: First Principles with Python\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003cspan\u003eEdition\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e2nd Edition\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003cspan\u003eAuthor\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eJoel 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