Data Wrangling With Python
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Data Wrangling With Python
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Author : Jacqueline Kazil
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-02-04
Data Wrangling With Python written by Jacqueline Kazil and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-04 with Computers categories.
How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started. Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. You’ll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain. Quickly learn basic Python syntax, data types, and language concepts Work with both machine-readable and human-consumable data Scrape websites and APIs to find a bounty of useful information Clean and format data to eliminate duplicates and errors in your datasets Learn when to standardize data and when to test and script data cleanup Explore and analyze your datasets with new Python libraries and techniques Use Python solutions to automate your entire data-wrangling process
Practical Python Data Wrangling And Data Quality
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Author : Susan E. McGregor
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-12-03
Practical Python Data Wrangling And Data Quality written by Susan E. McGregor and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-03 with Computers categories.
The world around us is full of data that holds unique insights and valuable stories, and this book will help you uncover them. Whether you already work with data or want to learn more about its possibilities, the examples and techniques in this practical book will help you more easily clean, evaluate, and analyze data so that you can generate meaningful insights and compelling visualizations. Complementing foundational concepts with expert advice, author Susan E. McGregor provides the resources you need to extract, evaluate, and analyze a wide variety of data sources and formats, along with the tools to communicate your findings effectively. This book delivers a methodical, jargon-free way for data practitioners at any level, from true novices to seasoned professionals, to harness the power of data. Use Python 3.8+ to read, write, and transform data from a variety of sources Understand and use programming basics in Python to wrangle data at scale Organize, document, and structure your code using best practices Collect data from structured data files, web pages, and APIs Perform basic statistical analyses to make meaning from datasets Visualize and present data in clear and compelling ways
Data Wrangling With Python
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Author : Dr. Tirthajyoti Sarkar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-02-28
Data Wrangling With Python written by Dr. Tirthajyoti Sarkar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-28 with Computers categories.
Simplify your ETL processes with these hands-on data hygiene tips, tricks, and best practices. Key FeaturesFocus on the basics of data wranglingStudy various ways to extract the most out of your data in less timeBoost your learning curve with bonus topics like random data generation and data integrity checksBook Description For data to be useful and meaningful, it must be curated and refined. Data Wrangling with Python teaches you the core ideas behind these processes and equips you with knowledge of the most popular tools and techniques in the domain. The book starts with the absolute basics of Python, focusing mainly on data structures. It then delves into the fundamental tools of data wrangling like NumPy and Pandas libraries. You’ll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python. This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you’ll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. The book will further help you grasp concepts through real-world examples and datasets. By the end of this book, you will be confident in using a diverse array of sources to extract, clean, transform, and format your data efficiently. What you will learnUse and manipulate complex and simple data structuresHarness the full potential of DataFrames and numpy.array at run timePerform web scraping with BeautifulSoup4 and html5libExecute advanced string search and manipulation with RegEXHandle outliers and perform data imputation with PandasUse descriptive statistics and plotting techniquesPractice data wrangling and modeling using data generation techniquesWho 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.
Python For Data Analysis
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Author : Wes Mckinney
language : en
Publisher:
Release Date : 2017
Python For Data Analysis written by Wes Mckinney and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Data mining categories.
Data Wrangling With Python And Pandas
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Author : Caelum Bitwright
language : en
Publisher: Independently Published
Release Date : 2025-09-16
Data Wrangling With Python And Pandas written by Caelum Bitwright and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-16 with Computers categories.
You've collected your data. It's messy, chaotic, and far from ready for analysis. The column headers are inconsistent, there are missing values scattered everywhere, and the data types are all wrong. Sound familiar? You're not alone. This is the reality for data professionals, and it's a phase that can feel like an insurmountable obstacle. But what if you could tame this data chaos and transform it into a clean, structured asset? Welcome to the world of Data Wrangling with Python and Pandas, the book that turns data dilemmas into data victories. This isn't just another dry technical manual. It's a roadmap to mastery, a guide to reclaiming control over your data, and a journey into the heart of what makes data science truly possible. We've all been there: staring at a spreadsheet filled with inconsistencies, feeling overwhelmed and frustrated. This book gives you the tools to overcome that feeling and replace it with a sense of purpose and power. Your journey begins with the foundational principles of data wrangling. We'll start with the basics, helping you understand how to load and inspect different data formats from CSVs to Excel files and JSON. You'll learn to recognize common data problems and then use the powerful Pandas library to solve them. Think of it as learning the language of data-a language that lets you speak directly to your datasets, commanding them to bend to your will. The book is structured to build your skills from the ground up. You'll master essential operations like data selection and filtering, allowing you to isolate the exact information you need. You'll become an expert at handling missing values by learning different imputation techniques that maintain the integrity of your data. The days of struggling with inconsistent column names and incorrect data types will be over. We'll show you how to clean and standardize your data, ensuring every piece of information is precisely where it should be. But we don't stop there. The true power of data wrangling lies in transformation. You'll discover how to reshape your data from wide to long formats, making it more suitable for different types of analysis. Learn to merge and join multiple datasets, bringing together disparate sources to create a unified and comprehensive view. And for those tricky, repetitive tasks, you'll learn to automate your cleaning workflowswith custom functions, saving you countless hours and making your work more efficient. This book is filled with real-world examples and practical exercises that reinforce every concept. You won't just read about data wrangling; you'll do it. Each chapter concludes with a "Wrangling Challenge," pushing you to apply your newfound skills to solve complex problems, solidifying your knowledge and building your confidence. By the time you finish this book, you won't just be a data consumer; you'll be a data creator. You'll be the person who can take any messy dataset and transform it into a clean, usable, and powerful resource. You'll be the one who makes a project possible because you know how to prepare the data. Your data is waiting to tell its story. All it needs is a little help from you. Stop letting messy data hold you back. Take control of your data narrative today! Buy your copy of Data Wrangling with Python and Pandas now and start your journey to data mastery.
Data Wrangling With Python 3 X
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Author : Jamshaid Sohail
language : en
Publisher:
Release Date : 2019
Data Wrangling With Python 3 X written by Jamshaid Sohail and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
"In this course, you will gather data, prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, and more! This course will equip you with the tools and technologies you need to analyze datasets (real-life datasets containing lots of anomalies) using Python so that you can confidently jump into the field and enhance your skillset. The best part of this course is the take-away code templates generated using the real-life dataset. Towards the end of the course, you'll build an intuitive understanding of all the aspects available in Python for Data Wrangling."--Resource description page.
Data Wrangling Using Python
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Author : Jacqueline Kazil
language : en
Publisher: O'Reilly Media
Release Date : 2015-07-25
Data Wrangling Using Python written by Jacqueline Kazil and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-25 with Computers categories.
Digging into data does not have to be painful. With Data Wrangling Using Python, you'll learn how to clean and analyze data, create compelling stories, and scale that data as necessary. There are awesome discoveries to be made in unassuming datasets and stories to be told. You don’t have to be a programmer to tell them. What you need is to understand the context of the data and to know a few of the techniques found in this book. You'll learn enough Python to be empowered to engage with your data, through a series of examples that grow in complexity throughout the book.
The Data Wrangling Workshop
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Author : Brian Lipp
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-07-29
The Data Wrangling Workshop written by Brian Lipp and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-29 with Computers categories.
A beginner's guide to simplifying Extract, Transform, Load (ETL) processes with the help of hands-on tips, tricks, and best practices, in a fun and interactive way Key FeaturesExplore data wrangling with the help of real-world examples and business use casesStudy various ways to extract the most value from your data in minimal timeBoost your knowledge with bonus topics, such as random data generation and data integrity checksBook Description While a huge amount of data is readily available to us, it is not useful in its raw form. For data to be meaningful, it must be curated and refined. If you're a beginner, then The Data Wrangling Workshop will help to break down the process for you. You'll start with the basics and build your knowledge, progressing from the core aspects behind data wrangling, to using the most popular tools and techniques. This book starts by showing you how to work with data structures using Python. Through examples and activities, you'll understand why you should stay away from traditional methods of data cleaning used in other languages and take advantage of the specialized pre-built routines in Python. Later, you'll learn how to use the same Python backend to extract and transform data from an array of sources, including the internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, the book teaches you how to handle missing or incorrect data, and reformat it based on the requirements from your downstream analytics tool. By the end of this book, you will have developed a solid understanding of how to perform data wrangling with Python, and learned several techniques and best practices to extract, clean, transform, and format your data efficiently, from a diverse array of sources. What you will learnGet to grips with the fundamentals of data wranglingUnderstand how to model data with random data generation and data integrity checksDiscover how to examine data with descriptive statistics and plotting techniquesExplore how to search and retrieve information with regular expressionsDelve into commonly-used Python data science librariesBecome well-versed with how to handle and compensate for missing dataWho this book is for The Data Wrangling Workshop is designed for developers, data analysts, and business analysts who are looking to pursue a career as a full-fledged data scientist or analytics expert. Although this book is for beginners who want to start data wrangling, prior working knowledge of the Python programming language is necessary to easily grasp the concepts covered here. It will also help to have a rudimentary knowledge of relational databases and SQL.
Python Data Wrangling For Business Analytics
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Author : George Snypes
language : en
Publisher:
Release Date : 2024-11-18
Python Data Wrangling For Business Analytics written by George Snypes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-18 with Business & Economics categories.
Master the essential skills of modern data analysis with this comprehensive guide to Python data wrangling, data cleaning, and business analytics. Whether you're a business analyst moving from Excel to Python, a data scientist optimizing workflows, or an analytics professional handling large datasets, this practical guide bridges the gap between basic Python programming and real-world data challenges. What Makes This Book Different: Unlike theoretical guides, this hands-on manual tackles actual business scenarios you'll encounter daily. Learn through practical exercises using real-world datasets from various industries. Master professional-grade data cleaning techniques used by leading companies for customer analysis, sales reporting, financial data processing, and marketing analytics. Essential Skills You'll Master: Data cleaning and preprocessing with pandas and numpy form the foundation of your learning journey. You'll advance to automated data validation and quality checks, ensuring your analyses are built on reliable data. Through hands-on practice, you'll develop expertise in advanced data transformation techniques and complex dataset merging. Time series data handling becomes second nature as you work through real examples. The book covers text data processing, standardization techniques, ETL pipeline development, and crucial performance optimization methods for large datasets. Real-World Applications: Your journey through data wrangling will focus on practical business scenarios. You'll learn to handle data challenges in customer analytics, transforming raw customer data into actionable segments. Sales performance tracking becomes straightforward as you master data integration techniques. Financial reporting transforms from a manual process into an automated workflow. Marketing campaign analysis, supply chain analytics, and operations management datasets become opportunities rather than obstacles. You'll work with multiple data sources, from Excel files and databases to APIs and cloud services. Technical Coverage: The comprehensive guide to pandas for data manipulation starts with fundamentals and progresses to advanced techniques. You'll master step-by-step data cleaning workflows that can be applied immediately in your daily work. Missing data handling strategies ensure no valuable information is lost. Data validation frameworks protect the integrity of your analysis. Automated reporting techniques save hours of manual work. Best practices for reproducible analysis ensure your work meets professional standards. Code optimization methods keep your solutions scalable and efficient.
Data Wrangling 101
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Author : Amara Hawthorn
language : en
Publisher: Independently Published
Release Date : 2025-09-08
Data Wrangling 101 written by Amara Hawthorn and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-08 with Computers categories.
Are you tired of drowning in spreadsheets full of duplicates, typos, and confusing formats? Do you want to turn messy, unusable data into clean, reliable information-without being a coding expert? Data Wrangling 101 is your beginner-friendly guide to mastering one of the most essential skills in today's data-driven world: cleaning and transforming raw data. Written in plain English with no fluff, this book shows you step-by-step how to use Python and free, open-source tools to take control of your data-even if you've never programmed before. Inside, you'll discover how to: Identify and fix common data problems (duplicates, missing values, formatting errors). Standardize and reshape data for analysis. Automate tedious cleanup tasks that would take hours in Excel. Work with real-world datasets from spreadsheets, CSVs, and APIs. Use powerful Python libraries like Pandas and NumPy to handle data with ease. Packed with practical examples, exercises, and mini-projects, this book doesn't just teach you what to do-it shows you how to think like a data wrangler. By the end, you'll have the confidence to take messy, chaotic data and turn it into insights you can actually use. Whether you're a student, researcher, business analyst, or just curious about data, this is the perfect starting point for your journey into data science.