000			01816nam a22002177a 4500
999			_c2430 _d2430
003			OSt
005			20200224133634.0
008			200117b ||||| |||| 00| 0 eng d
020			_a978-93-5213-335-2
028			_bAllied Informatics, Jaipur _c7084 _d13/01/2020 _q2019-20
040			_aBSDU _bEnglish _cBSDU
082			_a005.133 _bKAZ
100			_aKazil, Jacqueline
245			_aData Wrangling with Python: Tips and tools to make your life easier
260			_aMumbai _bShroff Publishers & Distributors Pvt. Ltd. _c2019
300			_a482
504			_aAll Indian Reprints of O'Reilly are printed in Grayscale. How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started. Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. You’ll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain. Quickly learn basic Python syntax, data types, and language concepts Work with both machine-readable and human-consumable data Scrape websites and APIs to find a bounty of useful information Clean and format data to eliminate duplicates and errors in your datasets Learn when to standardize data and when to test and script data cleanup Explore and analyze your datasets with new Python libraries and techniques Use Python solutions to automate your entire data-wrangling process
650			_aPython
700			_aJarmul, Katharine
942			_2ddc _cBK