{"product_id":"python-for-data-analysis-data-wrangling-with-pandas-numpy-and-ipython-2nd-ed","title":"Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Ipython (2ND ed.)","description":"\u003cdiv data-expanded=\"true\" class=\"a-expander-content a-expander-partial-collapse-content a-expander-content-expanded\"\u003e\n\u003cp\u003e\u003cspan\u003eGet complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second 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, IPython, and Jupyter in the process.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eWritten 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\/span\u003e\u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical\"\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eUse the IPython shell and Jupyter notebook for exploratory computing\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eLearn basic and advanced features in NumPy (Numerical Python)\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eGet started with data analysis tools in the pandas library\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eUse flexible tools to load, clean, transform, merge, and reshape data\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eCreate informative visualizations with matplotlib\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eApply the pandas groupby facility to slice, dice, and summarize datasets\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eAnalyze and manipulate regular and irregular time series data\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003eLearn how to solve real-world data analysis problems with thorough, detailed examples\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e \u003cspan id=\"pd-product-id\"\u003e1491957662\u003c\/span\u003e    \u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan class=\"a-list-item\"\u003e\u003cspan\u003e\u003ca\u003e\u003c\/a\u003e\u003cstrong\u003eEAN:\u003c\/strong\u003e 9781491957660\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"a-expander-header a-expander-partial-collapse-header\"\u003e\u003c\/div\u003e","brand":"SureShot Books Publishing LLC","offers":[{"title":"Default Title","offer_id":50060319391981,"sku":null,"price":59.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0550\/8097\/6621\/files\/ibg.common.titledetail_26eebc52-b89d-4316-a2e5-6e0ef3a4fdc0.gif?v=1780342777","url":"https:\/\/sureshotbooks.com\/products\/python-for-data-analysis-data-wrangling-with-pandas-numpy-and-ipython-2nd-ed","provider":"SureShot Books Publishing LLC","version":"1.0","type":"link"}