{"product_id":"python-for-data-analysis-data-wrangling-with-pandas-numpy-and-jupyter-paperback","title":"Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Jupyter - 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\u003eWes McKinney\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eGet the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process. \u003c\/p\u003e\u003cp\u003e Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eUse the Jupyter notebook and IPython shell for exploratory computing \u003c\/li\u003e\n\u003cli\u003eLearn basic and advanced features in NumPy \u003c\/li\u003e\n\u003cli\u003eGet started with data analysis tools in the pandas library \u003c\/li\u003e\n\u003cli\u003eUse flexible tools to load, clean, transform, merge, and reshape data \u003c\/li\u003e\n\u003cli\u003eCreate informative visualizations with matplotlib \u003c\/li\u003e\n\u003cli\u003eApply the pandas groupby facility to slice, dice, and summarize datasets \u003c\/li\u003e\n\u003cli\u003eAnalyze and manipulate regular and irregular time series data \u003c\/li\u003e\n\u003cli\u003eLearn how to solve real-world data analysis problems with thorough, detailed examples \u003c\/li\u003e\n\u003c\/ul\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 579\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.2 x 6.9 x 9.1 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 20, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47213382598905,"sku":"9781098104030","price":79.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/VEJzWG5ta2ZFVXlLUXNzbnh0SllXQT09.webp?v=1768104705","url":"https:\/\/bookscloud.io\/products\/python-for-data-analysis-data-wrangling-with-pandas-numpy-and-jupyter-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}