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Item:333000627480⭐⭐ Important ⭐⭐✅ Paperback or package will be shipped. Nothing will be shipped. You Receive Only Digital Download Format:- Download EPUB or pdf MY DEAR BUYER!IF YOU HAVE ANY PROBLEMS WITH AN ITEM, PLEASE E-MAIL US FIRSTBEFORE LEAVING NEGATIVE FEEDBACK OR OPEN CASE,ALL PROBLEMS WILL BE RESOLVED!!! ====================PLEASE READ BEFORE BUY========================= This is an eBook = Digital bookNot The Physical book as Hardcover or paperback FormatPDF , EPUB and AZW3 DeliveryOnly Email dilivery. No shipping After successful Payment , I will send download link through eBay message box and PayPal Email ------------------------------Product DetailsSynopsisFinding great data analysts is difficult. Despite the explosive growth of data in industries ranging from manufacturing and retail to high technology, finance, and healthcare, learning and accessing data analysis tools has remained a challenge. This pragmatic guide will help train you in one of the most important tools in the field-Python. Filled with practical case studies, Python for Data Analysis demonstrates the nuts and bolts of manipulating, processing, cleaning, and crunching data with Python. It also serves as a modern introduction to scientific computing in Python for data-intensive applications. Learn about the growing field of data analysis from an expert in the community. Learn everything you need to start doing real data analysis work with Python Get the most complete instruction on the basics of the "modern scientific Python platform" Learn from an insider who builds tools for the scientific stack Get an excellent introduction for novices and a wealth of advanced methods for experienced analystsPython for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language. Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing. Use the IPython interactive shell as your primary development environment Learn basic and advanced NumPy (Numerical Python) features Get started with data analysis tools in the pandas library Use high-performance tools to load, clean, transform, merge, and reshape data Create scatter plots and static or interactive visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Measure data by points in time, whether it's specific instances, fixed periods, or intervals Learn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples---------------------------------------------- The only way to survive is to open your heart. Don't forget read all this carefully!Only digital book (Format:- Download EPUB or pdf) available, no Physical book, no shipping.we will automatically send it to your eBay inbox ! , or Please leave a note of what email you want your ebook sent to. Feedback! We will resolve every problem you have, to win your positive feedback!.Please leave 5 star feadback for us.NO REFUND ! In Case of any issues or concern please. write to us through eBay (Contact Seller)Condition:Brand New, Format:Download pdf or Epub, Language:English, Publication Year:2017, Educational Level:College, Modified Item:No, Edition Number::2, Product Type:Textbook, Country/Region of Manufacture:United States, Topic:United States, Author ::Wes McKinney
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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython