PHP/Architect's Guide to Date and Time Programming
PHP/Architect's Guide to Date and Time Programming

Author: Derick Rethans

Publisher: Musketeers.Me, LLC

Published: 2009-04

Total Pages: 152

ISBN-13: 9780981034508

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If your development involves working with dates and times, then this book is a must-have. In this book, Derick Rethans (contributor to PHP's core date extension and well-known PHP expert) explores in great detail the subtle nuances of working with dates and times. Frequently PHP developers encounter unexpected results that adversely affect their software and web applications. This book will undoubtedly help them tackle those issues. This book covers a variety of areas including: history of calendars and time standards, giving the reader a better understanding of how date/time concepts evolved into the way they are today parsing date/time strings and the potential pitfalls a developer can encounter timezones, the quirks inherent in them, and how your application can handle these quirks formatting and representing times and dates correctly and dealing with the DateTime Object manipulating and working with past, future and recurring dates obtaining dates when timestamps aren't available format specifiers upgrading the master timezone database What are PHP experts saying about this book? "Complex date and time programming isn't just for international applications. Even in the US, we have to deal with up to nine different time zones, and shifting between these can be difficult. Derick is one of the most knowledgeable people I know when it comes to date and time programming. I have turned to him countless times for help, and now he brings that depth of knowledge to this book. If you need to parse dates and times, shift between time zones, or manipulate dates and times in your applications then this book is for you." - Ben Ramsey "If you ever have to deal with parsing or formatting timestamps, or dealing with timezones this is the definite reference to make your time related PHP coding tasks fast and simple!" -Elizabeth Marie Smith This is the most comprehensive book on date/time data for PHP available, and one that any PHP developer can't do without.

R for Data Science
R for Data Science

Author: Hadley Wickham

Publisher: "O'Reilly Media, Inc."

Published: 2016-12-12

Total Pages: 521

ISBN-13: 1491910364

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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

The Data Book
The Data Book

Author: Meredith Zozus

Publisher: CRC Press

Published: 2017-07-12

Total Pages: 255

ISBN-13: 1351647733

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The Data Book: Collection and Management of Research Data is the first practical book written for researchers and research team members covering how to collect and manage data for research. The book covers basic types of data and fundamentals of how data grow, move and change over time. Focusing on pre-publication data collection and handling, the text illustrates use of these key concepts to match data collection and management methods to a particular study, in essence, making good decisions about data. The first section of the book defines data, introduces fundamental types of data that bear on methodology to collect and manage them, and covers data management planning and research reproducibility. The second section covers basic principles of and options for data collection and processing emphasizing error resistance and traceability. The third section focuses on managing the data collection and processing stages of research such that quality is consistent and ultimately capable of supporting conclusions drawn from data. The final section of the book covers principles of data security, sharing, and archival. This book will help graduate students and researchers systematically identify and implement appropriate data collection and handling methods.

Data, a Love Story
Data, a Love Story

Author: Amy Webb

Publisher: Penguin

Published: 2014-01-28

Total Pages: 306

ISBN-13: 0142180459

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“Amy Webb found her true love after a search that's both charmingly romantic and relentlessly data-driven. Anyone who uses online dating sites must read her funny, fascinating book.”—Gretchen Rubin, #1 New York Times bestselling author of The Happiness Project After yet another disastrous date, Amy Webb was preparing to cancel her JDate membership when epiphany struck: her standards weren’t too high, she just wasn’t approaching the process the right way. Using her gift for data strategy, she found which keywords were digital-man magnets, analyzed photos, and then adjusted her (female) profile to make the most of that intel. Then began the deluge—dozens of men who actually met her own stringent requirements wanted to meet her. Among them: her future husband, now the father of her child.

Pacific Crest Trail Data Book
Pacific Crest Trail Data Book

Author: Benedict Go

Publisher: Wilderness Press

Published: 2013-08-13

Total Pages: 138

ISBN-13: 0899977456

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The essential, cut-to-the-chase handbook to the Pacific Crest Trail, based on the comprehensive Wilderness Press guidebooks to the PCT, has been completely updated. Packed with trail-tested features, it’s useful both on and off the trail, covering pre-trip planning for resupply stops, how to set daily on-the-trail mileage goals by knowing trail gradient and the locations of campsites, water sources, and facilities, and how to easily calculate distances between any two points on the trail, and how to planning both north-bound and south-bound hiking trips.

Everyday Adventures with Unruly Data
Everyday Adventures with Unruly Data

Author: Melanie Feinberg

Publisher: MIT Press

Published: 2022-10-11

Total Pages: 331

ISBN-13: 0262371456

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Paired informal and scholarly essays show how everyday events reveal fundamental concepts of data, including its creation, aggregation, management, and use. Whether questioning numbers on a scale, laughing at a misspelling of one’s name, or finding ourselves confused in a foreign supermarket, we are engaging with data. The only way to handle data responsibly, says Melanie Feinberg in this incisive work, is to take into account its human character. Though the data she discusses may seem familiar, close scrutiny shows it to be ambiguous, complicated, and uncertain: unruly. Drawing on the tools of information science, she uses everyday events such as deciding between Blender A and Blender B on Amazon to demonstrate a practical, critical, and generative mode of thinking about data: its creation, management, aggregation, and use. Each chapter pairs a self-contained main essay (an adventure) with a scholarly companion essay (the reflection). The adventure begins with an anecdote—visiting the library, running out of butter, cooking rice on a different stove. Feinberg argues that to understand the power and pitfalls of data science, we must attend to the data itself, not merely the algorithms that manipulate it. As she reflects on the implications of commonplace events, Feinberg explicates fundamental concepts of data that reveal the many tiny design decisions—which may not even seem like design at all—that shape how data comes to be. Through the themes of serendipity, objectivity, equivalence, interoperability, taxonomy, labels, and locality, she illuminates the surprisingly pervasive role of data in our daily thoughts and lives.

Street Data
Street Data

Author: Shane Safir

Publisher: Corwin

Published: 2021-02-12

Total Pages: 281

ISBN-13: 1071812661

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Radically reimagine our ways of being, learning, and doing Education can be transformed if we eradicate our fixation on big data like standardized test scores as the supreme measure of equity and learning. Instead of the focus being on "fixing" and "filling" academic gaps, we must envision and rebuild the system from the student up—with classrooms, schools and systems built around students’ brilliance, cultural wealth, and intellectual potential. Street data reminds us that what is measurable is not the same as what is valuable and that data can be humanizing, liberatory and healing. By breaking down street data fundamentals: what it is, how to gather it, and how it can complement other forms of data to guide a school or district’s equity journey, Safir and Dugan offer an actionable framework for school transformation. Written for educators and policymakers, this book · Offers fresh ideas and innovative tools to apply immediately · Provides an asset-based model to help educators look for what’s right in our students and communities instead of seeking what’s wrong · Explores a different application of data, from its capacity to help us diagnose root causes of inequity, to its potential to transform learning, and its power to reshape adult culture Now is the time to take an antiracist stance, interrogate our assumptions about knowledge, measurement, and what really matters when it comes to educating young people.

Temporal Data & the Relational Model
Temporal Data & the Relational Model

Author: C.J. Date

Publisher: Morgan Kaufmann

Published: 2003

Total Pages: 449

ISBN-13: 1558608559

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A review of relational concepts -- An overview of Tutorial D -- Time and the database -- What is the problem? -- Intervals -- Operators on intervals -- The EXPAND and COLLAPSE operators -- The PACK and UNPACK operators -- Generalizing the relational operators -- Database design -- Integrity constraints 1 : candidate keys and related constraints -- Integrity constraints 2 : general constraints -- Database queries -- Database updates -- Stated times and logged times -- Point and interval types revisited.

Storytelling with Data
Storytelling with Data

Author: Cole Nussbaumer Knaflic

Publisher: John Wiley & Sons

Published: 2015-10-09

Total Pages: 284

ISBN-13: 1119002265

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Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!