Download or read book The Data Wrangler s Handbook written by Kyle Banerjee and published by American Library Association. This book was released on 2019-08-05 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data manipulation and analysis are far easier than you might imagine—in fact, using tools that come standard with your desktop computer, you can learn how to extract, manipulate, and analyze data (and metadata) of any size and complexity.

Download or read book The Data Wrangler s Handbook written by Kyle Banerjee and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Like all organizations, libraries are generating more data than ever before and are keen to use it. Data manipulation and analysis is far easier than most people imagine. This book demystifies the process of working with data, familiarizing readers with a small number of simple tools, and easily digestible but powerful concepts. Using tools that come with desktop computers, readers will learn to extract, manipulate, and analyze data (and metadata) of any size and complexity. Kyle Banerjee, experienced author of in data and digital library topics, is determined to take the fear out of the command line. This book will be useful to librarians developing their skills, introducing concepts and tools gradually. Starter topics, most of which can be accomplished with a single-word command, will include: -how to use the output of one program as input for another -redirecting the results of that to any file or program -sorting files of any size by any criteria -identifying duplicates - listing the number of occurrences for each entry As readers develop a firm grasp of the fundamentals, they will learn progressively more sophisticated tasks such as comparing files, converting data from one format to another, reformatting values (e.g. converting inconsistent dates to a consistent format), combining data from multiple files, and communicating with APIs (Application Programming Interfaces) built into their systems. Each chapter with more examples that power users might appreciate, but others can skip over without impeding their ability to understand anything else in the book. Table of Contents 1. Introduction 2. Getting started 3. Directing output - making programs and files work with each other 4. Regular expressions -- the Swiss Army knife of data 5. Understanding data formats Model, namespaces, and validation 6. Application Programming Interfaces (APIs) - talk to programs across the Web 7. Putting it all together 8. More advanced topics 9. One line solutions for common library tasks 10. Command reference 11. Glossary"--

Download or read book Data Wrangling with Python written by Jacqueline Kazil and published by "O'Reilly Media, Inc.". This book was released on 2016-02-04 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Principles of Data Wrangling written by Tye Rattenbury and published by "O'Reilly Media, Inc.". This book was released on 2017-06-29 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: A key task that any aspiring data-driven organization needs to learn is data wrangling, the process of converting raw data into something truly useful. This practical guide provides business analysts with an overview of various data wrangling techniques and tools, and puts the practice of data wrangling into context by asking, "What are you trying to do and why?" Wrangling data consumes roughly 50-80% of an analyst’s time before any kind of analysis is possible. Written by key executives at Trifacta, this book walks you through the wrangling process by exploring several factors—time, granularity, scope, and structure—that you need to consider as you begin to work with data. You’ll learn a shared language and a comprehensive understanding of data wrangling, with an emphasis on recent agile analytic processes used by many of today’s data-driven organizations. Appreciate the importance—and the satisfaction—of wrangling data the right way. Understand what kind of data is available Choose which data to use and at what level of detail Meaningfully combine multiple sources of data Decide how to distill the results to a size and shape that can drive downstream analysis

Download or read book Data Wrangling with R written by Bradley C. Boehmke, Ph.D. and published by Springer. This book was released on 2016-11-17 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information. Data wrangling, which is also commonly referred to as data munging, transformation, manipulation, janitor work, etc., can be a painstakingly laborious process. Roughly 80% of data analysis is spent on cleaning and preparing data; however, being a prerequisite to the rest of the data analysis workflow (visualization, analysis, reporting), it is essential that one become fluent and efficient in data wrangling techniques. This book will guide the user through the data 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 user how to easily wrangle data in order to spend more time on understanding the content of the data. By the end of the book, the user will have learned: How to work with different types of data such as numerics, characters, regular expressions, factors, and dates The difference between different data structures and how to create, add additional components to, and subset each data structure How to acquire and parse data from locations previously inaccessible How to develop functions and use loop control structures to reduce code redundancy How to use pipe operators to simplify code and make it more readable How to reshape the layout of data and manipulate, summarize, and join data sets

Download or read book The Data Wrangling Workshop written by Brian Lipp and published by Packt Publishing Ltd. This book was released on 2020-07-29 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Data Science on AWS written by Chris Fregly and published by "O'Reilly Media, Inc.". This book was released on 2021-04-07 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application development to help level upyour skills. This guide shows you how to build and run pipelines in the cloud, then integrate the results into applications in minutes instead of days. Throughout the book, authors Chris Fregly and Antje Barth demonstrate how to reduce cost and improve performance. Apply the Amazon AI and ML stack to real-world use cases for natural language processing, computer vision, fraud detection, conversational devices, and more Use automated machine learning to implement a specific subset of use cases with SageMaker Autopilot Dive deep into the complete model development lifecycle for a BERT-based NLP use case including data ingestion, analysis, model training, and deployment Tie everything together into a repeatable machine learning operations pipeline Explore real-time ML, anomaly detection, and streaming analytics on data streams with Amazon Kinesis and Managed Streaming for Apache Kafka Learn security best practices for data science projects and workflows including identity and access management, authentication, authorization, and more

Download or read book The VES Handbook of Visual Effects written by Susan Zwerman and published by CRC Press. This book was released on 2014-07-11 with total page 1229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wisdom from the best and the brightest in the industry, this visual effects bible belongs on the shelf of anyone working in or aspiring to work in VFX. The book covers techniques and solutions all VFX artists/producers/supervisors need to know, from breaking down a script and initial bidding, to digital character creation and compositing of both live-action and CG elements. In-depth lessons on stereoscopic moviemaking, color management and digital intermediates are included, as well as chapters on interactive games and full animation authored by artists from EA and Dreamworks respectively. From predproduction to acquisition to postproduction, every aspect of the VFX production workflow is given prominent coverage. VFX legends such as John Knoll, Mike Fink, and John Erland provide you with invaluable insight and lessons from the set, equipping you with everything you need to know about the entire visual effects workflow. Simply a must-have book for anyone working in or wanting to work in the VFX industry.

Download or read book The VES Handbook of Visual Effects written by Jeffrey Okun, VES and published by Routledge. This book was released on 2020-06-14 with total page 909 pages. Available in PDF, EPUB and Kindle. Book excerpt: The award-winning VES Handbook of Visual Effects remains the most complete guide to visual effects techniques and best practices available today. This new edition has been updated to include the latest, industry-standard techniques, technologies, and workflows for the ever-evolving fast paced world of visual effects. The Visual Effects Society (VES) tasked the original authors to update their areas of expertise, such as AR/VR Moviemaking, Color Management, Cameras, VFX Editorial, Stereoscopic and the Digital Intermediate, as well as provide detailed chapters on interactive games and full animation. Additionally, 56 contributors share their best methods, tips, tricks, and shortcuts developed through decades of trial and error and real-world, hands-on experience. This third edition has been expanded to feature lessons on 2.5D/3D Compositing; 3D Scanning; Digital Cinematography; Editorial Workflow in Animated and Visual Effects Features; Gaming updates; General Geometry Instancing; Lens Mapping for VFX; Native Stereo; Real-Time VFX and Camera Tracking; Shot/Element Pulls and Delivery to VFX; Techvis; VFX Elements and Stereo; Virtual Production; and VR/AR (Virtual Reality / Augmented Reality). A must-have for anyone working in or aspiring to work in visual effects, The VES Handbook of Visual Effects, Third Edition covers essential techniques and solutions for all VFX artists, producers, and supervisors, from pre-production to digital character creation, compositing of both live-action and CG elements, photorealistic techniques, and much more. With subjects and techniques clearly and definitively presented in beautiful four-color, this handbook is a vital resource for any serious VFX artist.

Download or read book Python for Data Analysis written by Wes McKinney and published by "O'Reilly Media, Inc.". This book was released on 2017-09-25 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples

Download or read book Visual Effects Society Handbook written by Susan Zwerman and published by Taylor & Francis. This book was released on 2012-08-06 with total page 1064 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wisdom from the best and the brightest in the industry, this visual effects bible belongs on the shelf of anyone working in or aspiring to work in VFX. The book covers techniques and solutions all VFX artists/producers/supervisors need to know, from breaking down a script and initial bidding, to digital character creation and compositing of both live-action and CG elements. In-depth lessons on stereoscopic moviemaking, color management and digital intermediates are included, as well as chapters on interactive games and full animation authored by artists from EA and Dreamworks respectively. From predproduction to acquisition to postproduction, every aspect of the VFX production workflow is given prominent coverage. VFX legends such as John Knoll, Mike Fink, and John Erland provide you with invaluable insight and lessons from the set, equipping you with everything you need to know about the entire visual effects workflow. Simply a must-have book for anyone working in or wanting to work in the VFX industry.

Download or read book Data Wrangling on AWS written by Navnit Shukla and published by Packt Publishing Ltd. This book was released on 2023-07-31 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revamp your data landscape and implement highly effective data pipelines in AWS with this hands-on guide Purchase of the print or Kindle book includes a free PDF eBook Key Features Execute extract, transform, and load (ETL) tasks on data lakes, data warehouses, and databases Implement effective Pandas data operation with data wrangler Integrate pipelines with AWS data services Book DescriptionData wrangling is the process of cleaning, transforming, and organizing raw, messy, or unstructured data into a structured format. It involves processes such as data cleaning, data integration, data transformation, and data enrichment to ensure that the data is accurate, consistent, and suitable for analysis. Data Wrangling on AWS equips you with the knowledge to reap the full potential of AWS data wrangling tools. First, you’ll be introduced to data wrangling on AWS and will be familiarized with data wrangling services available in AWS. You’ll understand how to work with AWS Glue DataBrew, AWS data wrangler, and AWS Sagemaker. Next, you’ll discover other AWS services like Amazon S3, Redshift, Athena, and Quicksight. Additionally, you’ll explore advanced topics such as performing Pandas data operation with AWS data wrangler, optimizing ML data with AWS SageMaker, building the data warehouse with Glue DataBrew, along with security and monitoring aspects. By the end of this book, you’ll be well-equipped to perform data wrangling using AWS services.What you will learn Explore how to write simple to complex transformations using AWS data wrangler Use abstracted functions to extract and load data from and into AWS datastores Configure AWS Glue DataBrew for data wrangling Develop data pipelines using AWS data wrangler Integrate AWS security features into Data Wrangler using identity and access management (IAM) Optimize your data with AWS SageMaker Who this book is for This book is for data engineers, data scientists, and business data analysts looking to explore the capabilities, tools, and services of data wrangling on AWS for their ETL tasks. Basic knowledge of Python, Pandas, and a familiarity with AWS tools such as AWS Glue, Amazon Athena is required to get the most out of this book.

Download or read book The Screen Combat Handbook written by Kevin Inouye and published by Routledge. This book was released on 2020-04-02 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Screen Combat Handbook is an essential guide to navigating the unique challenges of putting combat on screen. Explore the process from the early stages of preproduction planning all the way through to editing and sound design, and everything in-between. This book uses practical instruction, examples, interviews, and illustrations to show how to plan, shoot, and assemble safe and effective fight sequences. It includes sections on thoughtful and practical design choices in set, wardrobe, props, and effects, preproduction planning, on-set protocol, fight choreography and coordination, shot planning and technical tricks, acting choices, effective cinematography, and impactful editing and sound design. It provides an invaluable resource for all those involved including directors, fight coordinators, actors and stunt players, and any filmmaker attempting to shoot an exciting action scene safely. Whether working on a no-budget indie production or on a professional set, this is your ultimate guide to screen combat and fight choreography.

Download or read book Jeep written by Patrick R. Foster and published by . This book was released on 2014-07-15 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: DIVThe definitive, fully illustrated celebration of an auto manufacturer that paved its own way by going off-road./divDIV /divDIVFew American vehicles, or vehicles made anywhere else in the world for that matter, are as universally iconic as the Jeep. From olive drab WWII military relics to the beloved Wrangler with its rear-mounted spare tire, open-air design, and telltale roll cage, the Jeep is a true classic. In Jeep: The History of America’s Greatest Vehicle, automotive writer Patrick R. Foster chronicles over 70 years of Jeep vehicle design and production. Beginning with the Jeep as a crucial component of the American World War II fleet, Foster expertly recounts the corporate shifts, financial struggles and successes, close calls, and—above all—the enduring machines that have carried Jeep from the early 1940s to its triumphant role as a modern-day embodiment of American perseverance. Three hundred color and black-and-white historical photos complement his expertly written narrative of Jeep’s entire history, reminding us that sometimes, the road less traveled was just waiting for the right truck./div

Download or read book Data Wrangling with SQL written by Raghav Kandarpa and published by Packt Publishing Ltd. This book was released on 2023-07-31 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Become a data wrangling expert and make well-informed decisions by effectively utilizing and analyzing raw unstructured data in a systematic manner Purchase of the print or Kindle book includes a free PDF eBook Key Features Implement query optimization during data wrangling using the SQL language with practical use cases Master data cleaning, handle the date function and null value, and write subqueries and window functions Practice self-assessment questions for SQL-based interviews and real-world case study rounds Book DescriptionThe amount of data generated continues to grow rapidly, making it increasingly important for businesses to be able to wrangle this data and understand it quickly and efficiently. Although data wrangling can be challenging, with the right tools and techniques you can efficiently handle enormous amounts of unstructured data. The book starts by introducing you to the basics of SQL, focusing on the core principles and techniques of data wrangling. You’ll then explore advanced SQL concepts like aggregate functions, window functions, CTEs, and subqueries that are very popular in the business world. The next set of chapters will walk you through different functions within SQL query that cause delays in data transformation and help you figure out the difference between a good query and bad one. You’ll also learn how data wrangling and data science go hand in hand. The book is filled with datasets and practical examples to help you understand the concepts thoroughly, along with best practices to guide you at every stage of data wrangling. By the end of this book, you’ll be equipped with essential techniques and best practices for data wrangling, and will predominantly learn how to use clean and standardized data models to make informed decisions, helping businesses avoid costly mistakes.What you will learn Build time series models using data wrangling Discover data wrangling best practices as well as tips and tricks Find out how to use subqueries, window functions, CTEs, and aggregate functions Handle missing data, data types, date formats, and redundant data Build clean and efficient data models using data wrangling techniques Remove outliers and calculate standard deviation to gauge the skewness of data Who this book is forThis book is for data analysts looking for effective hands-on methods to manage and analyze large volumes of data using SQL. The book will also benefit data scientists, product managers, and basically any role wherein you are expected to gather data insights and develop business strategies using SQL as a language. If you are new to or have basic knowledge of SQL and databases and an understanding of data cleaning practices, this book will give you further insights into how you can apply SQL concepts to build clean, standardized data models for accurate analysis.

Download or read book A Beginner s Guide to Learning Analytics written by Srinivasa K G and published by Springer Nature. This book was released on 2021-04-19 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book A Beginner’s Guide to Learning Analytics is designed to meet modern educational trends’ needs. It is addressed to readers who have no prior knowledge of learning analytics and functions as an introductory text to learning analytics for those who want to do more with evaluation/assessment in their organizations. The book is useful to all who need to evaluate their learning and teaching strategies. It aims to bring greater efficiency and deeper engagement to individual students, learning communities, and educators. Covered here are the key concepts linked to learning analytics for researchers and practitioners interested in learning analytics. This book helps those who want to apply analytics to learning and development programs and helps educational institutions to identify learners who require support and provide a more personalized learning experience. Like chapters show diverse uses of learning analytics to enhance student and faculty performance. It presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different educational domains. This book provides educators and researchers with the tools and frameworks to effectively make sense of and use data and analytics in their everyday practice. This book will be a valuable addition to researchers’ bookshelves.

Download or read book Data Wrangling with Python written by Dr. Tirthajyoti Sarkar and published by Packt Publishing Ltd. This book was released on 2019-02-28 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.