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Titlebook: A Python Data Analyst’s Toolkit; Learn Python and Pyt Gayathri Rajagopalan Book 2021 Gayathri Rajagopalan 2021 Python.Data Analytics.Pandas

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期刊全稱A Python Data Analyst’s Toolkit
期刊簡稱Learn Python and Pyt
影響因子2023Gayathri Rajagopalan
視頻videohttp://file.papertrans.cn/142/141977/141977.mp4
發(fā)行地址Explains important data analytics concepts with real-life applications using Python.Includes multiple-choice and practice questions to bridge the gap between theory and practice.Contains case studies
圖書封面Titlebook: A Python Data Analyst’s Toolkit; Learn Python and Pyt Gayathri Rajagopalan Book 2021 Gayathri Rajagopalan 2021 Python.Data Analytics.Pandas
影響因子Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write code in Python, and use various Python libraries and functions for analyzing any dataset. The code is presented in Jupyter notebooks that can further be adapted and extended..This book is divided into three parts – programming with Python, data analysis and visualization, and statistics. You‘ll start with an introduction to Python – the syntax, functions, conditional statements, data types, and different types of containers.? You‘ll then review more advanced concepts like regular expressions, handling of files, and solving mathematical problems with Python.?.The second part of the book, will cover Python libraries used for data analysis. There will be an introductory chapter covering basic concepts and terminology, and one chapter each on NumPy(the scientific computation library), Pandas (the data wrangling library) and visualization libraries like Matplotlib and Seaborn. Case studies will be included as examples to help readers understand some real-world applications of data analysis.?.The final chapters of book focus on statistics, elucidating
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https://doi.org/10.1007/b137083 NumPy?– the library that helps us work with arrays and perform computations, also serving as the backbone for the Pandas library that we discuss in this chapter. Pandas, the Python library for data wrangling, has the advantage of being a powerful tool with many capabilities to manipulate data.
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Book 2021hon, and use various Python libraries and functions for analyzing any dataset. The code is presented in Jupyter notebooks that can further be adapted and extended..This book is divided into three parts – programming with Python, data analysis and visualization, and statistics. You‘ll start with an i
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Front Mattere bacteria, fungi, algae, and protozoa. Certain parameters must be established to provide the highest biodegradation rate of degradable microorganisms under the optimum conditions. These factors are biological factors such as bioavailability, nutrient availability, culture type and type of microorga
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