{"product_id":"python-for-data-analysis-data-wrangling-with-pandas-numpy-and-jupyter","title":"Python for Data Analysis","description":"\u003ch4 data-start=\"146\" data-end=\"167\"\u003e\u003cspan role=\"text\"\u003e\u003cstrong data-start=\"151\" data-end=\"167\"\u003eKey Features\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h4\u003e\n\u003cul data-start=\"168\" data-end=\"461\"\u003e\n\u003cli data-section-id=\"a6msf1\" data-start=\"168\" data-end=\"239\"\u003ePractical guide to data analysis using Python and popular libraries\u003c\/li\u003e\n\u003cli data-section-id=\"uem8j\" data-start=\"240\" data-end=\"309\"\u003eCovers pandas, NumPy, and Jupyter for efficient data manipulation\u003c\/li\u003e\n\u003cli data-section-id=\"11fn46f\" data-start=\"310\" data-end=\"395\"\u003eIncludes real-world examples for data cleaning, transformation, and visualization\u003c\/li\u003e\n\u003cli data-section-id=\"7v3g77\" data-start=\"396\" data-end=\"461\"\u003eIdeal for beginners, analysts, and data science professionals\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr data-start=\"463\" data-end=\"466\"\u003e\n\u003ch4 data-start=\"468\" data-end=\"495\"\u003e\u003cspan role=\"text\"\u003e\u003cstrong data-start=\"473\" data-end=\"493\"\u003eBook Description\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp data-start=\"496\" data-end=\"701\"\u003eThis book provides a hands-on introduction to data analysis using Python, focusing on powerful libraries like pandas and NumPy. It teaches how to clean, transform, and analyze large datasets efficiently.\u003c\/p\u003e\n\u003cp data-start=\"703\" data-end=\"927\"\u003eThe content is designed to bridge theory and practice, offering real-world examples and workflows commonly used in data science. It helps readers understand how to work with structured data and perform meaningful analysis.\u003c\/p\u003e\n\u003cp data-start=\"929\" data-end=\"1127\"\u003eWritten by the creator of pandas, the book ensures authoritative insights and best practices in data handling. It is widely used by students and professionals to build strong data analysis skills.\u003c\/p\u003e\n\u003cp data-start=\"1129\" data-end=\"1245\"\u003eOverall, this book is an essential resource for anyone looking to master data wrangling and analysis using Python.\u003c\/p\u003e\n\u003chr data-start=\"1247\" data-end=\"1250\"\u003e\n\u003ch4 data-start=\"1252\" data-end=\"1276\"\u003e\u003cspan role=\"text\"\u003e\u003cstrong data-start=\"1257\" data-end=\"1276\"\u003eProduct Details\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h4\u003e\n\u003cul data-start=\"1277\" data-end=\"1670\"\u003e\n\u003cli data-section-id=\"152o1q\" data-start=\"1277\" data-end=\"1364\"\u003e\n\u003cstrong data-start=\"1279\" data-end=\"1289\"\u003eTitle:\u003c\/strong\u003e Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter\u003c\/li\u003e\n\u003cli data-section-id=\"rag1ay\" data-start=\"1365\" data-end=\"1418\"\u003e\n\u003cstrong data-start=\"1367\" data-end=\"1378\"\u003eAuthor:\u003c\/strong\u003e \u003cspan class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"\u003e\u003cspan class=\"whitespace-normal\"\u003eWes McKinney\u003c\/span\u003e\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli data-section-id=\"cfzy2x\" data-start=\"1419\" data-end=\"1452\"\u003e\n\u003cstrong data-start=\"1421\" data-end=\"1435\"\u003ePublisher:\u003c\/strong\u003e O’Reilly Media\u003c\/li\u003e\n\u003cli data-section-id=\"1gdb4z6\" data-start=\"1453\" data-end=\"1478\"\u003e\n\u003cstrong data-start=\"1455\" data-end=\"1468\"\u003eLanguage:\u003c\/strong\u003e English\u003c\/li\u003e\n\u003cli data-section-id=\"b2qj4e\" data-start=\"1479\" data-end=\"1505\"\u003e\n\u003cstrong data-start=\"1481\" data-end=\"1493\"\u003eBinding:\u003c\/strong\u003e Paperback\u003c\/li\u003e\n\u003cli data-section-id=\"c0mo4t\" data-start=\"1506\" data-end=\"1540\"\u003e\n\u003cstrong data-start=\"1508\" data-end=\"1528\"\u003eNumber of Pages:\u003c\/strong\u003e 544 pages\u003c\/li\u003e\n\u003cli data-section-id=\"119amzq\" data-start=\"1541\" data-end=\"1568\"\u003e\n\u003cstrong data-start=\"1543\" data-end=\"1555\"\u003eISBN-10:\u003c\/strong\u003e 109810403X\u003c\/li\u003e\n\u003cli data-section-id=\"1vt8ae\" data-start=\"1569\" data-end=\"1600\"\u003e\n\u003cstrong data-start=\"1571\" data-end=\"1583\"\u003eISBN-13:\u003c\/strong\u003e 978-1098104030\u003c\/li\u003e\n\u003cli data-section-id=\"17xsk8q\" data-start=\"1601\" data-end=\"1643\"\u003e\n\u003cstrong data-start=\"1603\" data-end=\"1622\"\u003ePublisher Date:\u003c\/strong\u003e 2022 (3rd Edition)\u003c\/li\u003e\n\u003cli data-section-id=\"1oelyef\" data-start=\"1644\" data-end=\"1670\"\u003e\n\u003cstrong data-start=\"1646\" data-end=\"1657\"\u003eWeight:\u003c\/strong\u003e 1.9 pounds\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr data-start=\"1672\" data-end=\"1675\"\u003e\n\u003ch4 data-start=\"1677\" data-end=\"1709\"\u003e\u003cspan role=\"text\"\u003e\u003cstrong data-start=\"1682\" data-end=\"1709\"\u003ePhysical Specifications\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h4\u003e\n\u003cul data-start=\"1710\" data-end=\"1797\"\u003e\n\u003cli data-section-id=\"136unlu\" data-start=\"1710\" data-end=\"1737\"\u003e\n\u003cstrong data-start=\"1712\" data-end=\"1723\"\u003eHeight:\u003c\/strong\u003e 9.20 inches\u003c\/li\u003e\n\u003cli data-section-id=\"15hi7iv\" data-start=\"1738\" data-end=\"1764\"\u003e\n\u003cstrong data-start=\"1740\" data-end=\"1750\"\u003eWidth:\u003c\/strong\u003e 7.00 inches\u003c\/li\u003e\n\u003cli data-section-id=\"1i2u3v6\" data-start=\"1765\" data-end=\"1797\"\u003e\n\u003cstrong data-start=\"1767\" data-end=\"1783\"\u003eSpine Width:\u003c\/strong\u003e 1.20 inches\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"The Books Empire","offers":[{"title":"Default Title","offer_id":47720428241061,"sku":null,"price":41.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0761\/2206\/3013\/files\/PP91QBEYSpnLL._SY522_-1.jpg?v=1776318916","url":"https:\/\/thebooksempire.com\/products\/python-for-data-analysis-data-wrangling-with-pandas-numpy-and-jupyter","provider":"The Books Empire","version":"1.0","type":"link"}