{"product_id":"python-for-data-mining-quick-syntax-reference-paperback","title":"Python for Data Mining Quick Syntax Reference - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eValentina Porcu\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e​Learn how to use Python and its structures, how to install Python, and which tools are best suited for data analyst work. This book provides you with a handy reference and tutorial on topics ranging from basic Python concepts through to data mining, manipulating and importing datasets, and data analysis.\u003ci\u003e\u003cbr\u003e\u003c\/i\u003e\u003ci\u003ePython for Data Mining Quick Syntax Reference \u003c\/i\u003ecovers each concept concisely, with many illustrative examples. You'll be introduced to several data mining packages, with examples of how to use each of them. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eThe first part covers core Python including objects, lists, functions, modules, and error handling. The second part covers Python's most important data mining packages: NumPy and SciPy for mathematical functions and random data generation, pandas for dataframe management and data import, Matplotlib for drawing charts, and scikitlearn for machine learning. \u003cbr\u003e\u003cb\u003eWhat You'll Learn\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eInstall Python and choose a development environment\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eUnderstand the basic concepts of object-oriented programming\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eImport, open, and edit files\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eReview the differences between Python 2.x and 3.x\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eProgrammers new to Python's data mining packages or with experience in other languages, who want a quick guide to Pythonic tools and techniques.\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e​Learn how to use Python and its structures, how to install Python, and which tools are best suited for data analyst work. This book provides you with a handy reference and tutorial on topics ranging from basic Python concepts through to data mining, manipulating and importing datasets, and data analysis.\u003ci\u003e\u003cbr\u003e\u003c\/i\u003e\u003cbr\u003e\u003ci\u003ePython for Data Mining Quick Syntax Reference \u003c\/i\u003ecovers each concept concisely, with many illustrative examples. You'll be introduced to several data mining packages, with examples of how to use each of them. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eThe first part covers core Python including objects, lists, functions, modules, and error handling. The second part covers Python's most important data mining packages: NumPy and SciPy for mathematical functions and random data generation, pandas for dataframe management and data import, Matplotlib for drawing charts, and scikitlearn for machine learning.\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eValentina Porcu is a computer geek with a passion for data mining and research, and a Ph.D in communication and complex systems. She has years of experience in teaching in universities in Italy, France and Morocco, and online, of course! She works as consultant in the field of data mining and machine learning and enjoys writing about new technologies and data mining. She spent the last 9 years working as freelancer and researcher in the field of social media analysis, benchmark analysis and web scraping for database building, in particular in the field of buzz analysis and sentiment analysis for universities, startups and web agencies across UK, France, US and Italy. Valentina is the founder of Datawiring, a popular Italian data science resource.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 260\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.58 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 20, 2018\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47212721045753,"sku":"9781484241127","price":35.62,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/b2tDY1NJMHhlbWFZREVCYUJ2MWgzUT09.webp?v=1768095189","url":"https:\/\/bookscloud.io\/products\/python-for-data-mining-quick-syntax-reference-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}