{"product_id":"python-data-science-9789811995910","title":"Python Data Science","description":"\u003cp\u003e • Author(s): Chaolemen Borjigin\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Information Theory\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eRather than presenting Python as Java or C, this book 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","brand":"Springer","offers":[{"title":"Paperback","offer_id":45274864156823,"sku":"9789811995910","price":4003.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9789811995910.webp?v=1769281164","url":"https:\/\/atlanticbooks.com\/products\/python-data-science-9789811995910","provider":"Atlantic Books","version":"1.0","type":"link"}