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generation and data integrity checks Book DescriptionFor data to be useful and meaningful, it must be curated and refined. Data Wrangling with Python;
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of Python and R packages to implement them. You'll start by understanding the data wrangling process and get a solid foundation to work with;
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have developed a solid understanding of how to perform data wrangling with Python, and learned several techniques and best practices to extract;
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datasets with new Python libraries and techniques Use Python solutions to automate your entire data-wrangling process;
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Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write;
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Perform data analysis and data wrangling in Python Combine, group, and aggregate data from multiple sources Create data visualizations with;
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The Python Book delivers an essential introductory guide to learning Python for anyone who works with data but does not have experience;
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Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write;
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truly useful. This practical guide provides business analysts with an overview of various data wrangling techniques and tools, and puts the;
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. This book will show you how to analyze your data, get started with machine learning, and work effectively with the Python libraries often used;
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and representations Who this book is forData Visualization with Python is designed for developers and scientists, who want to get into data;
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-the-go Who This Book Is For Python developers, aspiring data scientists, and analysts who want to get started with scientific computing;
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), JavaScript is a terrific all-round environment for all data wrangling needs! Data Wrangling with JavaScript teaches readers core data;
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visualize results. Using Python for data analysis, you'll work with real-world datasets, understand data, summarize its characteristics, and;
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Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization * Learn effective strategies and best;
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The professional programmer's Deitel (R) guide to Python (R) with introductory artificial intelligence case studies Written for;
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This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to;
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This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to;
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wrangling process via a step-by-step tutorial approach and provide a solid foundation for working with data in R. The author's goal is to teach the;
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decisions. Starting with an introduction to data science with Python, you will take a closer look at the Python environment and get acquainted with;
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Get started using Python in data analysis with this compact practical guide. This book includes three exercises and a case study on getting;
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operation and manipulation of Python for data analysis Implement real-world datasets to perform predictive analytics with Python Access modern data;
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building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and;
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foundation with the best data science tools available in Python Add value to yourself, your organization, and society by extracting actionable;
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/notebooks Who this book is for: Data scientists and AI consultants with programming skills in Python and driven to succeed in AI.;
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Unleash the power of Python for your data analysis projects with For Dummies! Python is the preferred programming language for data;
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Science with Python - data mining, data analysis, data visualization, and machine learning Who This Book Is For If you are a Python;
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