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Python for Data Analysis: A Practical Guide for Manipulating, Processing, Cleaning, and Crunching Data Sets in Python. How to Effectively Solve
Dylan Penny
Paperback. Charlie Creative Lab Ltd Publisher 2021-02-01.
ISBN 9781801820677
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Förlagets beskrivning
* 55% OFF for Bookstores! NOW Discounted Retail Price at $ 23.95 Instead of $ 34.95! LAST DAYS! * How many times have you thought about learning how to code but got discouraged as you didn't have any technical experience, the time to learn, or, simply, you didn't think you were intelligent enough? Then this book is perfect for your costumers will never stop to use this awesome guide! You don't need a costly computer science degree, a genius mind, and a 1000-page textbook to learn Python's basics for Data Analysis. This book, PYTHON FOR DATA ANALYSIS: A PRACTICAL GUIDE TO MANIPULATING, PROCESSING, CLEANING, AND CRUNCHING DATA SETS IN PYTHON. HOW TO EFFECTIVELY SOLVE A WIDE RANGE OF DATA ANALYSIS PROBLEMS, is a concise, step-by-step guide to Python for Data Analysis. Many books about Pythons are theoretical and have little to no practical examples. This manual offers a plethora of simple illustrations and examples to underline core concepts and enhance your understanding. Loads of practice exercises are provided to make you learn fast, remember, and build a thorough understanding of the key concepts. Are you ready to find out more? Here's a short preview of what you will learn inside this book: Why Python for data analysis? Data analysis basesPython libraries and installation Python language basics, ipython and jupyter notebooks Built-in data structures, functions, and files Introduction to modeling libraries in Python ...And so much more! This book will offer you a comprehensive explanation of Python for data analysis while not overpowering you with loads of information. Compared to other books, the examples' outputs are given, so you don't need to wait. Buy it NOWand let your customers get addicted to this amazing book!
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Python for Data Analysis: A Practical Guide for Manipulating, Processing, Cleaning, and Crunching Data Sets in Python. How to Effectively Solve
Bokrecensioner » Python for Data Analysis: A Practical Guide for Manipulating, Processing, Cleaning, and Crunching Data Sets in Python. How to Effectively Solve
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