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|a Henley, A.J.
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|a Learn Data Analysis with Python
|h [electronic resource] :
|b Lessons in Coding /
|c by A.J. Henley, Dave Wolf.
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|a 1st ed. 2018.
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|a Berkeley, CA :
|b Apress :
|b Imprint: Apress,
|c 2018.
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|a IX, 97 p. 15 illus. in color.
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|a 1. How to Use This Book -- 2. Getting Data into and out of Python -- 3. Preparing Data is Half the Battle -- 4. Finding the Meaning -- 5. Visualizing Data -- 6. Practice Problems.
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| 520 |
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|a Get started using Python in data analysis with this compact practical guide. This book includes three exercises and a case study on getting data in and out of Python code in the right format. Learn Data Analysis with Python also helps you discover meaning in the data using analysis and shows you how to visualize it. Each lesson is, as much as possible, self-contained to allow you to dip in and out of the examples as your needs dictate. If you are already using Python for data analysis, you will find a number of things that you wish you knew how to do in Python. You can then take these techniques and apply them directly to your own projects. If you aren’t using Python for data analysis, this book takes you through the basics at the beginning to give you a solid foundation in the topic. As you work your way through the book you will have a better of idea of how to use Python for data analysis when you are finished. You will: Get data into and out of Python code Prepare the data and its format Find the meaning of the data Visualize the data using iPython.
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|a Electronic access restricted to members of the Holy Cross Community.
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|a Python (Computer program language).
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|a Data mining.
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