Getting Started with Python Data Analysis

[Phuong Vo.T.H, Martin Czygan] ↠ Getting Started with Python Data Analysis ☆ Download Online eBook or Kindle ePUB. Getting Started with Python Data Analysis Learn to use powerful Python libraries for effective data processing and analysisAbout This BookLearn the basic processing steps in data analysis and how to use Python in this area through supported packages, especially Numpy, Pandas, and MatplotlibCreate, manipulate, and analyze your data to extract useful information to optimize your systemA hands-on guide to help you learn data analysis using PythonWho This Book Is ForIf you are a Python developer who wants to get started with data ana

Getting Started with Python Data Analysis

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Rating : 4.42 (956 Votes)
Asin : 1785285114
Format Type : paperback
Number of Pages : 188 Pages
Publish Date : 0000-00-00
Language : English

DESCRIPTION:

Learn to use powerful Python libraries for effective data processing and analysisAbout This BookLearn the basic processing steps in data analysis and how to use Python in this area through supported packages, especially Numpy, Pandas, and MatplotlibCreate, manipulate, and analyze your data to extract useful information to optimize your systemA hands-on guide to help you learn data analysis using PythonWho This Book Is ForIf you are a Python developer who wants to get started with data analysis and you need a quick introductory guide to the python data analysis libraries, then this book is for you.What You Will LearnUnderstand the importance of data analysis and get familiar with its processing stepsGet acquainted with Numpy to use with arrays and array-oriented computing in data analysisCreate effective visualizations to present your data using MatplotlibProcess and analy

He has been working as a software engineer for more than 10 years. His consultancy can be found at xvfz.. About the AuthorPhuong Vo.T.HPhuong Vo.T.H has a MSc degree in computer science, which is related to machine learning. She has experience in analyzing users' behavior and building recommendation systems based on users' web histories. For the past eight years, he has been diving into Python, and is still enjoying it. After graduation, she continued to work in some companies as a data scientist. In recent years, he has been helping clients to build data processing pipelines and search and analytics systems. She loves to read mac

Five Stars Balfiky very good overview. practical without unnecessary details

She loves to read machine learning and mathematics algorithm books, as well as data analysis articles.Martin CzyganMartin Czygan studied German literature and computer science in Leipzig, Germany. After graduation, she continued to work in some companies as a data scientist. She has experience in analyzing users' behavior and building recommendation systems base

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