{"product_id":"python-data-science-9789811977015","title":"Python Data Science","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThis textbook provides an introduction to Python programming for data science, focusing on essential skills and advanced methods for big data analysis. It uses a code-centric approach, full-color printing, and Markdown to highlight 3C principles: creative design, curiosity, and critical thinking. Q\u0026amp;A-based knowledge maps, tips, suggestions, notes, warnings, and cautions are used to explain key points, difficulties, and common mistakes. It also includes suggestions for further reading and offers an open-source community via GitHub. The course materials are licensed for free use under CC BY-NC-ND 4.0. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 345 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 01 July 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer Verlag, Singapore\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eRather than presenting Python as Java or C, this textbook focuses on the essential Python programming skills for data scientists and advanced methods for big data analysts.\u003c\/p\u003e\u003cp\u003eUnlike conventional textbooks, it is based on Markdown and uses full-color printing and a code-centric approach to highlight the 3C principles in data science: creative design of data solutions, curiosity about the data lifecycle, and critical thinking regarding data insights. Q\u0026amp;A-based knowledge maps, tips and suggestions, notes, as well as warnings and cautions are employed to explain the key points, difficulties, and common mistakes in Python programming for data science. In addition, it includes suggestions for further reading. \u003c\/p\u003e\u003cp\u003eThis textbook provides an open-source community via GitHub, and the course materials are licensed for free use under the following license: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).\u003c\/p\u003e\u003cp\u003eMore teaching materials including Codes, Datasets, Slides, Syllabus can be found at https:\/\/github.com\/LemenChao\/PythonDataScience\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 1131g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 279 x 210 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9789811977015\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2023\u003c\/p\u003e","brand":"Chaolemen Borjigin","offers":[{"title":"Hardback","offer_id":44348286009594,"sku":"9789811977015","price":58.3,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1689351084769_book.jpg?v=1689442398","url":"https:\/\/shulphink.com\/products\/python-data-science-9789811977015","provider":"Shulph Ink","version":"1.0","type":"link"}