{"product_id":"pandas-in-action-paperback","title":"Pandas in Action (Paperback)","description":"\u003cdiv aria-expanded=\"true\" class=\"a-expander-content a-expander-partial-collapse-content a-expander-content-expanded\" style=\"box-sizing: border-box; overflow: hidden; position: relative; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif padding-bottom:=\"\"\u003e\n\u003cspan class=\"a-text-bold\" style=\"box-sizing: border-box; font-weight: 700 !important;\"\u003eTake the next steps in your data science career! This friendly and hands-on guide shows you how to start mastering Pandas with skills you already know from spreadsheet software.\u003c\/span\u003e\u003cspan style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003eIn \u003c\/span\u003e\u003cspan class=\"a-text-italic\" style=\"box-sizing: border-box; font-style: italic !important;\"\u003ePandas in Action\u003c\/span\u003e\u003cspan style=\"box-sizing: border-box;\"\u003e you will learn how to:\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e    Import datasets, identify issues with their data structures, and optimize them for efficiency\u003cbr style=\"box-sizing: border-box;\"\u003e    Sort, filter, pivot, and draw conclusions from a dataset and its subsets\u003cbr style=\"box-sizing: border-box;\"\u003e    Identify trends from text-based and time-based data\u003cbr style=\"box-sizing: border-box;\"\u003e    Organize, group, merge, and join separate datasets\u003cbr style=\"box-sizing: border-box;\"\u003e    Use a GroupBy object to store multiple DataFrames\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003ePandas has rapidly become one of Python's most popular data analysis libraries. In \u003c\/span\u003e\u003cspan class=\"a-text-italic\" style=\"box-sizing: border-box; font-style: italic !important;\"\u003ePandas in Action\u003c\/span\u003e\u003cspan style=\"box-sizing: border-box;\"\u003e, a friendly and example-rich introduction, author Boris Paskhaver shows you how to master this versatile tool and take the next steps in your data science career. You’ll learn how easy Pandas makes it to efficiently sort, analyze, filter and munge almost any type of data.\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003ePurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003eAbout the technology\u003cbr style=\"box-sizing: border-box;\"\u003eData analysis with Python doesn’t have to be hard. If you can use a spreadsheet, you can learn pandas! While its grid-style layouts may remind you of Excel, pandas is far more flexible and powerful. This Python library quickly performs operations on millions of rows, and it interfaces easily with other tools in the Python data ecosystem. It’s a perfect way to up your data game.\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003eAbout the book\u003c\/span\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cspan class=\"a-text-italic\" style=\"box-sizing: border-box; font-style: italic !important;\"\u003ePandas in Action\u003c\/span\u003e\u003cspan style=\"box-sizing: border-box;\"\u003e introduces Python-based data analysis using the amazing pandas library. You’ll learn to automate repetitive operations and gain deeper insights into your data that would be impractical—or impossible—in Excel. Each chapter is a self-contained tutorial. Realistic downloadable datasets help you learn from the kind of messy data you’ll find in the real world.\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cstrong\u003eAbout the Author\u003c\/strong\u003e\u003c\/span\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cspan class=\"a-text-bold\" style=\"box-sizing: border-box; font-weight: 700 !important;\"\u003eBoris Paskhaver\u003c\/span\u003e\u003cspan style=\"box-sizing: border-box;\"\u003e is a software engineer, Agile consultant, and online educator. His programming courses have been taken by 300,000 students across 190 countries.\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cstrong\u003eTable of Contents\u003c\/strong\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cstrong\u003ePART 1 CORE PANDAS\u003c\/strong\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e1 Introducing pandas\u003cbr style=\"box-sizing: border-box;\"\u003e2 The Series object\u003cbr style=\"box-sizing: border-box;\"\u003e3 Series methods\u003cbr style=\"box-sizing: border-box;\"\u003e4 The DataFrame object\u003cbr style=\"box-sizing: border-box;\"\u003e5 Filtering a DataFrame\u003c\/span\u003e\n\u003c\/div\u003e\u003cdiv aria-expanded=\"true\" class=\"a-expander-content a-expander-partial-collapse-content a-expander-content-expanded\" style=\"box-sizing: border-box; overflow: hidden; position: relative; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif padding-bottom:=\"\"\u003e\u003cspan style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cstrong\u003ePART 2 APPLIED PANDAS\u003c\/strong\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e6 Working with text data\u003cbr style=\"box-sizing: border-box;\"\u003e7 MultiIndex DataFrames\u003cbr style=\"box-sizing: border-box;\"\u003e8 Reshaping and pivoting\u003cbr style=\"box-sizing: border-box;\"\u003e9 The GroupBy object\u003cbr style=\"box-sizing: border-box;\"\u003e10 Merging, joining, and concatenating\u003cbr style=\"box-sizing: border-box;\"\u003e11 Working with dates and times\u003cbr style=\"box-sizing: border-box;\"\u003e12 Imports and exports\u003cbr style=\"box-sizing: border-box;\"\u003e13 Configuring pandas\u003cbr style=\"box-sizing: border-box;\"\u003e14 Visualizatio\u003cbr\u003e\u003c\/span\u003e\u003c\/div\u003e\u003cp\u003e\u003cb\u003eEbook License\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eEnd-User Warranty And License Agreement\u003c\/p\u003e\u003cp\u003e1. Grant Of License\u003c\/p\u003e\u003cp\u003eManning Has Authorized The Download By You Of An Unrestricted Number Of Copies Of The Electronic Book (Ebook) In Any Of The Available Formats. Manning Grants You A Nonexclusive, Nontransferable License To Use The Ebook According To The Terms And Conditions Herein. This License Agreement Permits You To Install The Ebook On Any And All Your Devices For Your Personal Use Only.\u003c\/p\u003e\u003cp\u003e2. Restrictions\u003c\/p\u003e\u003cp\u003eYou Shall Not: (1) Share, Resell, Rent, Assign, Timeshare, Distribute, Or Transfer All Or Part Of The Ebook Or Any Rights Granted Hereunder To Any Other Person; (2) Duplicate The Ebook, Except For A Single Backup Or Archival Copy; (3) Remove Any Proprietary Notices, Labels, Or Marks From The Ebook; (4) Transfer Or Sublicense Title To The Ebook To Any Other Party.\u003c\/p\u003e\u003cp\u003e3. Intellectual Property Protection\u003c\/p\u003e\u003cp\u003eThe Ebook Is Owned By Manning And Is Protected By United States And International Copyright And Other Intellectual Property Laws. Manning Reserves All Rights In The Ebook Not Expressly Granted Herein. This License And Your Right To Use The Ebook Terminate Automatically If You Violate Any Part Of This Agreement. In The Event Of Termination, You Must Remove The Original And Any Copies Of The Ebook From All Your Devices.\u003c\/p\u003e\u003cp\u003e4. Source Code Supplementary Material\u003c\/p\u003e\u003cp\u003eAny Source Code Files Provided As A Supplement To The Book Are Freely Available To The Public For Download. Reuse Of The Code Is Permitted, In Whole Or In Part, Including The Creation Of Derivative Works, Provided That You Acknowledge That You Are Using It And Identify The Source: Title, Publisher And Year.\u003c\/p\u003e\u003cp\u003e5. Limited Warranty\u003c\/p\u003e\u003cp\u003eManning Warrants That The Ebook Files, A Copy Of Which You Are Authorized To Download, Are Free From Defects In The Operational Sense That They Can Be Read By A Pdf Reader Or Epub Reader, Or Other. Except For This Express Limited Warranty, Manning Makes And You Receive No Warranties, Express, Implied, Statutory Or In Any Communication With You, And Manning Specifically Disclaims Any Other Warranty Including The Implied Warranty Of Merchantability Or Fitness Or A Particular Purpose. Manning Does Not Warrant That The Operation Of The Ebook Will Be Uninterrupted Or Error Free. If The Ebook Was Purchased In The United States, The Above Exclusions May Not Apply To You As Some States Do Not Allow The Exclusion Of Implied Warranties. In Addition To The Above Warranty Rights, You May Also Have Other Rights That Vary From State To State.\u003c\/p\u003e\u003cp\u003e6. Limitation Of Liability\u003c\/p\u003e\u003cp\u003eIn No Event Will Manning Be Liable For Any Damages, Whether Arising For Tort Or Contract, Including Loss Of Data, Lost Profits, Or Other Special, Incidental, Consequential, Or Indirect Damages Arising Out Of The Use Or Inability To Use The Ebook.\u003c\/p\u003e\u003cp\u003e7. General\u003c\/p\u003e\u003cp\u003eThis Agreement Constitutes The Entire Agreement Between You And Manning And Supersedes Any Prior Agreement Concerning The Ebook. This Agreement Is Governed By The Laws Of The State Of New York. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Manning Publications","offers":[{"title":"Paperback","offer_id":50506260086854,"sku":"9781617297434","price":4317.0,"currency_code":"INR","in_stock":true},{"title":"E-Book","offer_id":50506260119622,"sku":"9781617297434-2","price":4333.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/61MY7dv8SoL.jpg?v=1790324469","url":"https:\/\/cb-india.com\/products\/pandas-in-action-paperback","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}