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دانشجوعلاقه‌مند یادگیری
کتابخوان حرفه‌ایلذت مطالعه
نویسندهالهام‌گیری

Learn data analysis with Python : lessons in coding

Jr, A J Henley;Wolf, Dave

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۴۴٬۰۰۰ تومان۴۹٬۰۰۰ تومان۱۰٪ تخفیف
  • تخفیف زمان‌دار−۵٬۰۰۰ تومان

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تحویل فوری
پرداخت امن
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پشتیبانی

مشخصات کتاب

ناشر
Apress
سال انتشار
۲۰۱۸
فرمت
EPUB
زبان
انگلیسی
حجم فایل
۶۱۴٫۴ کیلوبایت
شابک
9781484234853، 9781484234860، 1484234855، 1484234863

دربارهٔ کتاب

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. What You Will Learn 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 Who This Book Is For 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. "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."--Provided by publisher A quick and practical hands-on guide to learning and using Python in data analysis, this book includes three exercises and a case study on getting data in and out of Python code in the right format. -- Abstract: A quick and practical hands-on guide to learning and using Python in data analysis, this book includes three exercises and a case study on getting data in and out of Python code in the right format A quick and practical hands-on guide to learning and using Python in data analysis, this book includes three exercises and a case study on getting data in and out of Python code in the right format. -- Edited summary from book How to use this book -- Getting data into and out of Python -- Preparing data in half the battle -- Finding the meaning -- Visualizing data -- Practice problems.

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