▶What You Will Learn
⦁ Use and manipulate complex and simple data structures
⦁ Harness the full potential of DataFrames and numpy.array at run time
⦁ Perform web scraping with BeautifulSoup4 and html5lib
⦁ Execute advanced string search and manipulation with RegEX
⦁ Handle outliers and perform data imputation with Pandas
⦁ Use descriptive statistics and plotting techniques
⦁ Practice data wrangling and modeling using data generation techniques
▶Key Features
⦁ Focus on the basics of data wrangling
⦁ Study various ways to extract the most out of your data in less time
⦁ Boost your learning curve with bonus topics like random data generation and data integrity checks
▶Who This Book Is For
Data Wrangling with Python is designed for developers, data analysts, and business analysts who are keen to pursue a career as a full-fledged data scientist or analytics expert. Although, this book is for beginners, prior working knowledge of Python is necessary to easily grasp the concepts covered here. It will also help to have rudimentary knowledge of relational database and SQL.
▶Approach
Data Wrangling with Python takes a practical approach to equip beginners with the most essential data analysis tools in the shortest possible time. It contains multiple activities that use real-life business scenarios for you to practice and apply your new skills in a highly relevant context.
▶Audience
Data Wrangling with Python is designed for developers, data analysts, and business analysts who are keen to pursue a career as a full-fledged data scientist or analytics expert. Although, this book is for beginners, prior working knowledge of Python is necessary to easily grasp the concepts covered here. It will also help to have rudimentary knowledge of relational database and SQL.
작가 소개
⦁ Dr. Tirthajyoti Sarkar
Dr. Tirthajyoti Sarkar works as a senior principal engineer in the semiconductor technology domain, where he applies cutting-edge data science/machine learning techniques for design automation and predictive analytics. He writes regularly about Python programming and data science topics. He holds a Ph.D. from the University of Illinois and certifications in artificial intelligence and machine learning from Stanford and MIT.
⦁ Shubhadeep Roychowdhury
Shubhadeep Roychowdhury works as a senior software engineer at a Paris-based cybersecurity startup, where he is applying state-of-the-art computer vision and data engineering algorithms and tools to develop cutting-edge products. He often writes about algorithm implementation in Python and similar topics. He holds a master’s degree in computer science from West Bengal University Of Technology and certifications in machine learning from Stanford.
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