Learn Data Analysis with Python - by A J Henley & Dave Wolf (Paperback)
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<p/><br></br><p><b> Book Synopsis </b></p></br></br>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.<i> Learn Data Analysis with Python</i> also helps you discover meaning in the data using analysis and shows you how to visualize it. <br>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.<br>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.<br><b>What You Will Learn</b><br><ul><li>Get data into and out of Python code<br></li><li>Prepare the data and its format<br></li><li>Find the meaning of the data<br></li><li>Visualize the data using iPython<br></li></ul><br><b>Who This Book Is For </b><br>Those who want to learn data analysis using Python. Some experience with Python is recommended but not required, as is some prior experience with data analysis or data science.<br><p/><br></br><p><b> From the Back Cover </b></p></br></br>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. <i>Learn Data Analysis with Python</i> also helps you discover meaning in the data using analysis and shows you how to visualize it. <br>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.<br>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.<br>You will: <br><ul><li>Get data into and out of Python code<br></li><li>Prepare the data and its format<br></li><li>Find the meaning of the data<br></li><li>Visualize the data using iPython</li></ul><p/><br></br><p><b> Review Quotes </b></p></br></br><br>"The present book is built as an accessible, yet thorough introduction to data analysis using Python as programming environment. ... The style of the book and textbook-like presentation of concepts recommend it as a good starting point for novices who wish either to understand more about data analysis or wish to learn Python through meaningful examples." (Irina Ioana Mohorianu, zbMATH 1393.68002, 2018)<br><p/><br></br><p><b> About the Author </b></p></br></br>AJ Henley is teaching courses on data analysis using Python, Java and more. He is a technology educator with over 20 years experience as a developer, designer and systems engineer. He is an instructor at Howard University and Montgomery College.<br>Dave Wolf is a certified Project Management Professional (PMP) with over twenty years' experience as a software developer, analyst and trainer. His latest projects include collaboratively developing training materials and programming bootcamps for Java and Python.
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