underdetermination and theoretical virtues dana tulodziecki

Underdetermination and Theoretical Virtues - Dana Tulodziecki

This Element advances the epistemic labour view about the role, limits, and potential of the theoretical virtues as the arbiters of various versions of underdetermination. It shows how the theoretical virtues can resolve issues surrounding underdetermination in scientific practice. This title is also available as Open Access on Cambridge Core.

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The Seven Deadly Sins and Seven Heavenly Virtues - Ed Simon

A captivating artistic and philosophic exploration of humankind’s complex moral codes A companion piece to Pandemonium: A Visual History of Demonology and Elysium: A Visual History of Angelology, Seven Sins and Seven Virtues will complete this moral trilogy and finally consider God’s most enigmatic of creations: None of the conundrums of metaphysics are as baroque as the motivations of the human soul. Unlike the devils condemned to perdition and the angels compelled to paradise, humans are divine creatures that house within them warring impulses.Seven Sins and Seven Virtues will examine the literary, philosophical, theological, and most of all artistic expressions of the seven deadly sins and their respective seven cardinal virtues, drawing upon millennia of history to gather a compendium of humanity at its best and its worst. As a volume, the book will explore the Manichean nature of the human animal in all of its grandeur and canker, motivated by the faith that tales of damnation and salvation are the only stories that are ultimately worth telling.

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Practical and Theoretical Geoarchaeology - Paul Goldberger, Yijie Zhuang, Chris Carey, Richard I. Macphail

Practical and Theoretical Geoarchaeology, Second Edition, provides an invaluable and vastly updated overview of geoarchaeology and how it can be used effectively in the study of archaeological sites and contexts. Taking a pragmatic and functional approach, this book presents: a fundamental, broad-based perspective of the essentials of modern geoarchaeology in order to demonstrate the breadth of the approaches and the depth of the problems that it can tackle. the rapid advances made in the area in recent years, but also gives the reader a firm grasp of conventional approaches. covers traditional topics with the emphasis on landscapes, as well as anthropogenic deposits and site formation processes and their investigation. provides guidelines for the presentation of field and laboratory methods and the reporting of geoarchaeological results. essential reading for archaeology undergraduate and graduate students, practicing archaeologists and geoscientists who need to understand and apply geoarchaeological methodologies, and help foster the dialog among diverse researchers investigating archaeological sites. Practical and Theoretical Geoarchaeology, Second Edition, is an ideal resource for undergraduate and graduate students in archaeology, and a great practical reference for practicing archaeologists and geoscientists who need to understand and apply geoarchaeological methodologies internationally.

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Theoretical Astrophysics: Volume 3, Galaxies and Cosmology - T. Padmanabhan

This volume covers all aspects of cosmology and extragalactic astronomy at an advanced level. Topics are developed in a contemporary fashion, with emphasis on currently active research areas. Containing over one hundred exercises, this text is invaluable for researchers and graduate students of extragalactic astronomy, astrophysics and theoretical physics.

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Developing Data Migrations and Integrations with Salesforce - David Masri

Migrate your data to Salesforce and build low-maintenance and high-performing data integrations to get the most out of Salesforce and make it a "go-to" place for all your organization''s customer information.When companies choose to roll out Salesforce, users expect it to be the place to find any and all Information related to a customer-the coveted Client 360° view. On the day you go live, users expect to see all their accounts, contacts, and historical data in the system. They also expect that data entered in other systems will be exposed in Salesforce automatically and in a timely manner. This book shows you how to migrate all your legacy data to Salesforce and then design integrations to your organization''s mission-critical systems. As the Salesforce platform grows more powerful, it also grows in complexity. Whether you are migrating data to Salesforce, or integrating with Salesforce, it is important to understand how these complexities need to be reflected in your design. Developing Data Migrations and Integrations with Salesforce covers everything you need to know to migrate your data to Salesforce the right way, and how to design low-maintenance, high-performing data integrations with Salesforce. This book is written by a practicing Salesforce integration architect ... Unknown localization key: "more"

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How to Watch Basketball Like a Genius: What Game Designers, Economists, Ballet Choreographers, and Theoretical Astrophysicists Reveal About the Greate

A brilliant, entertaining deconstruction of basketball, drawing on the expertise of board-game creators, magicians, therapists, and more“Really novel way to approach the game, and pretty unique to basketball.” —Sopan Deb, New York Times Basketball is the second-most popular sport in the world—an insanely complicated game built on a combination of athleticism, craftiness, rules, intangibles, and superstardom. However, while it’s enjoyable to watch, the real reason it works is because it’s a game of culture, art, and all the things that make us human. Nick Greene’s How to Watch Basketball Like a Genius deconstructs the sport from top to bottom and then puts it back together again, detailing its intricacies through reporting and dozens of interviews with experts. These experts, however, are a diverse group: wine critics weighing in on LeBron’s ability to delegate on the fly, magicians analyzing Chris Paul’s mystifying dribbling techniques, cartographers breaking down Steph Curry’s deadeye three-point shooting. Every chapter treats basketball to a multidisciplined study that adventures far beyond the lines of the court, examining key elements of the sport from some surprising and revealing angles. There’s a reason it has conquered the world, and every game is a chance to learn about pop culture, fashion, ... Unknown localization key: "more"

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Data and Analytics for Instructional Designers - Megan Torrance

Add Data and Analytics to Your TD ToolkitInstructional design pro Megan Torrance addresses the importance of instructional designers accessing and applying learning and performance data—from how to design learning experiences with data collection in mind to how to use the data to improve and evaluate those experiences. With the advance of new learning technologies and data specifications, instructional designers have access to more and richer data sources than ever before. With that comes the question of what to do with the data. While most data and analytics books focus on their application for measurement and evaluation and assume a prior baseline understanding of what learning data and analytics mean, Data and Analytics for Instructional Designers delves into the foundational concepts that will enable instructional designers and L&D professionals to use data in their roles. Split into two parts, the book first defines key data and analytics terms, data specifications, learning metrics, and statistical concepts. It then lays out a framework for using learning data for planning how to gather data and to building scale and maturity in your data operations. Megan reassures readers that basic math skills with some computer assistance is what you’ll need to get going. So set ... Unknown localization key: "more"

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Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365) - Wayne Winston

Master business modeling and analysis techniques with Microsoft Excel and transform data into bottom-line results. Award-winning educator Wayne Winston''s hands-on, scenario-focused guide helps you use today''s Excel to ask the right questions and get accurate, actionable answers. More extensively updated than any previous edition, new coverage ranges from one-click data analysis to STOCKHISTORY, dynamic arrays to Power Query, and includes six new chapters. Practice with over 900 problems, many based on real challenges faced by working analysts. Solve real problems with Microsoft Excel—and build your competitive advantage Quickly transition from Excel basics to sophisticated analytics Use recent Power Query enhancements to connect, combine, and transform data sources more effectively Use the LAMBDA and LAMBDA helper functions to create Custom Functions without VBA Use New Data Types to import data including stock prices, weather, information on geographic areas, universities, movies, and music Build more sophisticated and compelling charts Use the new XLOOKUP function to revolutionize your lookup formulas Master new Dynamic Array formulas that allow you to sort and filter data with formulas and find all UNIQUE entries Illuminate insights from geographic and temporal data with 3D Maps Improve decision-making with probability, Bayes'' theorem, and Monte Carlo simulation and scenarios Use ... Unknown localization key: "more"

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Geographical Data Science and Spatial Data Analysis - Chris Brunsdon, Lex Comber

We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial – it is collected some-where – and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges.Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. This is a ‘learning by doing’ textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.

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Dash And Lily's Book Of Dares - Rachel Cohnová, David Levithan

A whirlwind romance from the New York Times bestselling authors of Nick & Norah''s Infinite Playlist, now a Netflix original series!I’ve left some clues for you. If you want them, turn the page. If you don’t, put the book back on the shelf, please.At the urge of her lucky-in-love brother, sixteen-year-old Lily has left a red notebook full of challenges on her favourite bookshop shelf, waiting for just the right guy to come along and accept its dares. Curious, Dash isn’t one to back down from a challenge – and the Book of Dares is the perfect distraction he’s been looking for.As they send each other on a scavenger hunt across Manhattan, a whirlwhind romance ensues on paper. But finding out if they share their on-page chemistry in real life could be their biggest dare yet….Perfect for fans of Emily in Paris, To All the Boys I’ve Loved Before and The Kissing Booth.''One of the best books I’ve ever read’ The Guardian on Every DayReaders LOVE Dash & Lily’s Book of Dares!‘A perfect Christmas read’ *****‘I absolutely loved this book. The way that Dash and Lily meet and develop their romance is unique and made for a cute and fun ... Unknown localization key: "more"

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Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value - Eric Anderson, Florian Zettelmeyer

Lead your organization to become evidence-drivenData. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries.The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what’s often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories.Inside, you’ll find the essential tools to help you:Develop a strong data science intuition quotientLead and scale AI and analytics throughout your organizationMove from “best-guess” decision making to evidence-based decisionsCraft strategies and tactics to create real impactWritten for anyone in a leadership or management ... Unknown localization key: "more"

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Walking in the Yorkshire Dales: North and East - Dennis Kelsall

This guidebook contains 43 circular day walks in the north and east Yorkshire Dales. It explores the dales, hills and moors between Kirkby Stephen and Pateley Bridge. Walking ranges from gentle 3 mile strolls to more strenuous day-long rambles across the Howgills, Wensleydale, Swaledale, Nidderdale, Mallerstang and Coverdale.

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Hierarchical Modeling and Analysis for Spatial Data - Alan E. Gelfand, Sudipto Banerjee, Bradley P. Carlin

The 3rd edition of this popular and authoritative text on Bayesian modeling and inference for spatial and spatial-temporal data presents a comprehensive presents a comprehensive and up-to-date treatment of hierarchical and multilevel modeling for spatial and spatio-temporal data within a Bayesian framework.

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Walking in the Yorkshire Dales: South and West - Dennis Kelsall, Jan Kelsall

Part of a 2-book set, this guidebook describes 44 walks in the southern and western Yorkshire Dales, including the famous 23 mile Three Peaks circuit over Pen-y-Ghent, Whernside and Ingleborough. The other, mostly circular routes of 3½ to 13 miles cover the scenic region between Sedbergh, Kirkby Lonsdale, Settle, Skipton and Grassington.

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The Sparkling Stories of Phoebe and Her Unicorn - Dana Simpsonová

Both of Dana Simpson's original Phoebe and Her Unicorn graphic novels — "The Magic Storm" and "Unicorn Theater" — are collected here in one sparkling volume. Two books in one.

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Phoebe and Her Unicorn - Dana Simpsonová

The first book in this beautifully drawn comic strip series follows the unlikely friendship between a somewhat awkward girl and the magical unicorn who gradually shows her just how special she really is. Over a series of hilarious adventures, Phoebe learns to bask in the awesomeness of Marigold and discover just how extraordinary it is to have a unicorn for a best friend."Phoebe is a remarkably real little girl, as bright and imaginative as Bill Watterson's Calvin, as touchingly vulnerable as Charles Schulz's Charlie Brown...Simpson is that good, and that original." —Peter S. Beagle, author of The Last Unicorn It all started when a girl named Phoebe skipped a rock across a pond and accidentally hit a unicorn in the face. Improbably, this led to Phoebe being granted one wish, and she used it to make the unicorn, Marigold Heavenly Nostrils, her obligational best friend. But can a vain mythical beast and a nine-year-old daydreamer really forge a connection? Indeed they can, and that's how Phoebe and Her Unicorn unfolds. Over time, Phoebe and Marigold acknowledge that they had been lonely before they met and come to truly appreciate the bond they now share.

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The Enchanting Escapades of Phoebe and Her Unicorn - Dana Simpsonová

A deluxe bind-up featuring all the comics from two different Phoebe and Her Unicorn books: Unicorn Crossing and Unicorn of Many Hats.A deluxe bind-up featuring all the comics from two different Phoebe and Her Unicorn books: Unicorn Crossing and Unicorn of Many Hats.This dazzling Phoebe and Her Unicorn collection includes all the comics from two previous books, Unicorn Crossing and Unicorn of Many Hats. In these enchanting episodes, Phoebe Howell and her unicorn BFF, Marigold Heavenly Nostrils, get decked out for Halloween parties, revel in the freedom of unexpected snow days, and even enjoy a spa vacation. They love getting lost on adventures, but if they ever get too far astray, Marigold can always use her horn to get a wireless internet signal. Join this charming—and charmed—duo as they question the idea of “coolness,” delve into the power of friendship, and make the most of their days together.

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Truth and Reality - Douglas Dales

This is a thorough study and exposition of the last work for which St Bonaventure was responsible before his death in 1274. The Collations on the Hexaëmeron, also called The Illuminations of the Church comprises lectures that he gave in Paris in 1273 to Franciscan and other students and masters in the university there. They were recorded by two independent witnesses and one version, the definitive one, was prepared for publication and approved by Bonaventure.This is one of the most interesting, original and important texts of medieval theology and it has been well translated and edited in a new edition. The purpose of this study is to examine the precise context for the approach that Bonaventure took, to place this work as the culmination of his spiritual theology, and to provide the reader with a lucid epitome of the contents of the text, drawing out their significance for theology and prayer in the life of the Church today.

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Celtic Goddesses, Witches, and Queens Oracle - Danu Forest

A powerful divinatory tool focusing on the wisdom of 40 amazing Celtic goddesses and other powerful women in Celtic myth. Drawing upon the deep well of wisdom from Celtic goddesses and other powerful women in Celtic myth, this is an oracle filled with authentic and ancient sources of pre-Christian Celtic religion to provide guidance based on traditions going back thousands of years. Within the 40 cards embodying archetypes of the Celtic world are different figures with a focus on nature, home, sovereignty, fertility, and death, along with elemental goddesses of water, fire, earth, and air. These elements and their significance are thoroughly explained in the accompanying guidebook, where the aspects of these strong feminine figures in the Celtic traditions help the reader form a council of wise women to draw upon for guidance and inner development. •   Celtic tradition is the perfect bridge to the wisdom and teaching of our ancestral heritage •   Written by an expert who has her own spirituality and magical school and has many years’ experience running women’s circles, covens, and druid groups •   Includes 40 richly decorated cards portraying powerful women to inspire the readers mapping their objectives Drawing ... Unknown localization key: "more"

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Effective Data Storytelling - Brent Dykes

Master the art and science of data storytelling—with frameworks and techniques to help you craft compelling stories with data. The ability to effectively communicate with data is no longer a luxury in today’s economy; it is a necessity. Transforming data into visual communication is only one part of the picture. It is equally important to engage your audience with a narrative—to tell a story with the numbers. Effective Data Storytelling will teach you the essential skills necessary to communicate your insights through persuasive and memorable data stories. Narratives are more powerful than raw statistics, more enduring than pretty charts. When done correctly, data stories can influence decisions and drive change. Most other books focus only on data visualization while neglecting the powerful narrative and psychological aspects of telling stories with data. Author Brent Dykes shows you how to take the three central elements of data storytelling—data, narrative, and visuals—and combine them for maximum effectiveness. Taking a comprehensive look at all the elements of data storytelling, this unique book will enable you to: Transform your insights and data visualizations into appealing, impactful data storiesLearn the fundamental elements of a data story and key audience driversUnderstand the differences between how the brain ... Unknown localization key: "more"

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Become a Great Data Storyteller - Angelica Lo Duca

Unlock the power of data storytelling to create change Become a Great Data Storyteller: Learn How You Can Drive Change with Data is a transformational journey guided by author and researcher Angelica Lo Duca. This insightful guide challenges the conventional approach to data visualization by emphasizing the creation of compelling data stories. With a focus on understanding the audience's needs, this book offers a unique value proposition: teaching you how to weave raw data into engaging, narrative-driven presentations that can significantly impact decision-making and generate organizational change. The author masterfully demonstrates the process of building a data story, from creating relatable characters with clear objectives to tailoring these narratives for specific audiences. You'll discover your role as a narrative guide, learning how to employ the power of context to make your data-driven stories not just informative but captivating. This book sets itself apart by focusing on the human aspect of data storytelling, ensuring your narratives resonate deeply with your audience. In the book, you'll: Learn to craft engaging data narratives that go beyond charts and graphs, making your presentations memorable and impactfulTailor your data stories to meet the specific needs and interests of your audience, enhancing understanding and engagementPosition yourself ... Unknown localization key: "more"

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Big Data Fundamentals - Thomas Erl, Paul Buhler, Wajid Khattak

“This text should be required reading for everyone in contemporary business.” --Peter Woodhull, CEO, Modus21 “The one book that clearly describes and links Big Data concepts to business utility.” --Dr. Christopher Starr, PhD “Simply, this is the best Big Data book on the market!” --Sam Rostam, Cascadian IT Group “...one of the most contemporary approaches I’ve seen to Big Data fundamentals...” --Joshua M. Davis, PhD The Definitive Plain-English Guide to Big Data for Business and Technology Professionals Big Data Fundamentals provides a pragmatic, no-nonsense introduction to Big Data. Best-selling IT author Thomas Erl and his team clearly explain key Big Data concepts, theory and terminology, as well as fundamental technologies and techniques. All coverage is supported with case study examples and numerous simple diagrams. The authors begin by explaining how Big Data can propel an organization forward by solving a spectrum of previously intractable business problems. Next, they demystify key analysis techniques and technologies and show how a Big Data solution environment can be built and integrated to offer competitive advantages. Discovering Big Data’s fundamental concepts and what makes it different from previous forms of data analysis and data science Understanding the business motivations and drivers behind Big Data adoption, ... Unknown localization key: "more"

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Data Science Bookcamp - Leonard Apeltsin

Learn data science with Python by building five real-world projects! In Data Science Bookcamp you’ll test and build your knowledge of Python and learn to handle the kind of open-ended problems that professional data scientists work on daily. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career. about the technologyIn real-world practice, data scientists create innovative solutions to novel open ended problems. Easy to learn and use, the Python language has become the de facto language for data science amongst researchers, developers, and business users. But knowing a few basic algorithms is not enough to tackle a vague and thorny problem. It takes relentless practice at cracking difficult data tasks to achieve mastery in the field. That’s just what this book delivers. about the book Data Science Bookcamp is a comprehensive set of challenging projects carefully designed to grow your data science skills from novice to master. Veteran data scientist Leonard Apeltsin sets five increasingly difficult exercises that test your abilities against the kind of problems you’d encounter in the real world. As you solve each challenge, you’ll acquire and expand the ... Unknown localization key: "more"

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Data Storytelling with Generative AI - Angelica Duca

Great data presentations tell a story. Learn how to organize, visualize, and present data using Python, generative AI, and the cutting-edge Altair data analysis toolkit.After you''ve crunched, sliced, and organized your data behind the scenes, you need to present it in a way that tells a story. With Python''s Altair library and generative AI tools like Copilot and ChatGPT, it''s never been easier to create intuitive data presentations.In Data Storytelling with Generative AI you''ll discover: Using Python Altair for data visualization Using Generative AI tools for data storytelling The main concepts of data storytelling Building data stories with the DIKW pyramid approach Transforming raw data into a data story Data Storytelling with Generative AI teaches you how to turn raw data into effective, insightful data stories. You''ll learn exactly what goes into an effective data story, then combine your Python data skills with the Altair library and AI tools to rapidly create amazing visualizations. Your bosses and decision-makers will love your new presentations—and you''ll love how quick Generative AI makes the whole process!

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Interactive Visual Data Analysis - Christian Tominski, Heidrun Schumann

In the age of big data, being able to make sense of data is an important key to success. Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and automatic computation to facilitate insight generation and knowledge crystallization from large and complex data.The book provides a systematic and comprehensive overview of visual, interactive, and analytical methods. It introduces criteria for designing interactive visual data analysis solutions, discusses factors influencing the design, and examines the involved processes. The reader is made familiar with the basics of visual encoding and gets to know numerous visualization techniques for multivariate data, temporal data, geo-spatial data, and graph data. A dedicated chapter introduces general concepts for interacting with visualizations and illustrates how modern interaction technology can facilitate the visual data analysis in many ways. Addressing today’s large and complex data, the book covers relevant automatic analytical computations to support the visual data analysis. The book also sheds light on advanced concepts for visualization in multi-display environments, user guidance during the data analysis, and progressive visual data analysis.The authors present a top-down perspective on interactive visual data analysis with a focus on concise and clean terminology. Many real-world examples and rich illustrations make the book ... Unknown localization key: "more"

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Exam Ref 70-767 Implementing a SQL Data Warehouse - Jose Chinchilla, Raj Uchhana

Prepare for Microsoft Exam 70-767–and help demonstrate your real-world mastery of skills for managing data warehouses. This exam is intended for Extract, Transform, Load (ETL) data warehouse developers who create business intelligence (BI) solutions. Their responsibilities include data cleansing as well as ETL and data warehouse implementation. The reader should have experience installing and implementing a Master Data Services (MDS) model, using MDS tools, and creating a Master Data Manager database and web application. The reader should understand how to design and implement ETL control flow elements and work with a SQL Service Integration Services package. Focus on the expertise measured by these objectives: • Design, and implement, and maintain a data warehouse • Extract, transform, and load data • Build data quality solutionsThis Microsoft Exam Ref: • Organizes its coverage by exam objectives • Features strategic, what-if scenarios to challenge you • Assumes you have working knowledge of relational database technology and incremental database extraction, as well as experience with designing ETL control flows, using and debugging SSIS packages, accessing and importing or exporting data from multiple sources, and managing a SQL data warehouse. Implementing a SQL Data Warehouse About the Exam Exam 70-767 focuses on skills and knowledge ... Unknown localization key: "more"

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Halo Data - Peter Jackson, Caroline Carruthers

The past two decades have seen an explosion both in the volume of data we use, and our understanding of its management.However, while techniques and technology for manipulating data have advanced rapidly in this time, the concepts around the value of our data have not. This lack of progress has made it increasingly difficult for organisations to understand the value in their data, the value of their data and how exploit that value. Halo Data proposes a paradigm shift in methodology for organisations to properly appreciate and leverage the value of their data. Written by an author team with many years’ experience in data strategy, management and technology, the book will first review the current state of our understanding of data. This opening will demonstrate the limitations of this status quo, including a discussion on metadata and its limitations, data monetisation and data-driven business models. Following this, the book will present a new concept and framework for understanding and quantifying value in an organisation’s data and a practical methodology for using this in practice.Ideal for data leaders and executives who are looking to leverage the data at their fingertips.

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A Fine and Bitter Snow - Dana Stabenow

Two women have been savagely attacked. One is dead by the time the authorities arrive, the other clings to life by a thread. The obvious suspect is a man found near the scene. A man clutching a knife, covered in the victims'' blood, claiming to have lost all memory of the last twenty-four hours; it looks like an open and shut case. And no-one thinks twice about the death of a man living alone. An obvious suicide. He even leaves a note. Unfortunately his final words are a confession: ‘I killed her''. One crime, two suspects. And Kate Shugak thinks that someone, somewhere, is getting away with murder.

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DAMA-DMBOK Guide

Written by over 120 data management practitioners, this is the most impressive compilation of data management principals and best practices, ever assembled. It provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure. The equivalent of the PMBOK or the BABOK, the DAMA-DMBOK provides information on: Data Governance; Data Architecture Management; Data Development; Database Operations Management; Data Security Management; Reference & Master Data Management; Data Warehousing & Business Intelligence Management; Document & Content Management; Meta Data Management; Data Quality Management; Professional Development. As an authoritative introduction to data management, the goals of the DAMA-DMBOK Guide are: To build consensus for a generally applicable view of data management functions; To provide standard definitions for commonly used data management functions, deliverables, roles, and other terminology; To document guiding principles for data management; To present a vendor-neutral overview to commonly accepted good practices, widely adopted methods and techniques, and significant alternative approaches; To clarify the scope and boundaries of data management; To act as a reference which guides readers to additional resources for further understanding.

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Data Analysis with Python - Rituraj Dixit

An Absolute Beginner''s Guide to Learning Data Analysis Using Python, a Demanding Skill for TodayKey FeaturesHands-on learning experience of Python''s fundamentals.Covers various examples of how to code end-to-end data analysis with easy illustrations.An excellent starting point to begin your data analysis journey with Python programming.DescriptionIn an effort to provide content for beginners, the book Data Analysis with Python provides a concrete first step in learning data analysis. Written by a data professional with decades of experience, this book provides a solid foundation in data analysis and numerous data science processes. In doing so, readers become familiar with common Python libraries and straightforward scripting techniques.Python and many of its well-known data analysis libraries, such as Pandas, NumPy, and Matplotlib, are utilized throughout this book to carry out various operations typical of data analysis projects.Following an introduction to Python programming fundamentals, the book combines well-known numerical calculation and statistical libraries to demonstrate the fundamentals of programming, accompanied by many practical examples. This book provides a solid groundwork for data analysis by teaching Python programming as well as Python''s built-in data analysis capabilities.What you will learnLearn the fundamentals of core Python programming for data analysis.Master Python''s most demanding data analysis and visualization libraries, ... Unknown localization key: "more"

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R for Data Science - Grolemund Garrett, Hadley Wickham, Mine Cetinkaya-Rundel

Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse-a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly.You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Each section in this edition includes exercises to help you practice what you've learned along the way.Updated for the latest tidyverse best practices, new chapters dive deeper into visualization and data wrangling, show you how to get data from spreadsheets, databases, and websites, and help you make the most of new programming tools. You'll learn how to:Visualize-create plots for data exploration and communication of resultsTransform-discover types of variables and the tools you can use to work with themImport-get data into R and in a form convenient for analysisProgram-learn R tools for solving data problems with ... Unknown localization key: "more"

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Data Engineering for Cybersecurity - James Bonifield

When a cyber security incident occurs, how does anyone know? Data must leave workstations and servers, bounce across the network, and land in a central database before analysts can use it. This project-based book covers that complex space between an organization''s computers and the security analyst tasked with protecting them. The guidance is straightforward, and the focus is on streamlining the process of gathering, transforming, and storing cybersecurity data using free and open-source tools. The author elaborates on core but often overlooked logging strategies, while also emphasizing the importance of standardizing data, using encryption to protect transmitted data, and creating ''data pipelines'' that support cybersecurity, data analytics, and automation needs alike. You''ll how to: Implement core logging strategies using free tools such as Elastic stack; Transform data to fit your needs, and configure your tools to send it back and forth; Secure your logging infrastructure by encrypting connections using TLS and SSH; Handle version control and backups with Git, and improve your efficiency with caching. By the end, you''ll know how to enrich your security data, protect it from unauthorized parties, and automate your workflow in the process - leaving more room for creative thinking.

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Exploring Lake District Dales - Marsh Terry

Explore the beauty of the Lake District dales with this enchanting and absorbing guide.Crisp and sharp, fascinating throughout, [this book] is an outstanding journey through the Lake District. - Bill Birkett, Author, Mountaineer and PhotographerThe Lake District has over 100 dales, many of them tranquil enclaves far from the hectic comings and goings of daily Lakeland life. Yet beyond the main river arteries, most dales remain little-known; some see more sheep and deer than humans. Even locals would be hard pressed to pinpoint some with certainty.Ticking your way through a list of Lake District summits is easy; they stick up and are easily accounted for. Less so the dales. Where, for example, is Blengdale, or Miterdale, seldom-visited Woundale, Fusedale, Moasdale and Pasture Bottom?In Exploring Lake District Dales, Terry Marsh champions the cause of the dales. Diving into their geology, geography, history, culture, folklore and matters of curious and touristic interest, this book reveals the beauty and appeal of dales, great and small.Among captivating text and stunning photography, Exploring Lake District Dales also provides you with essential visitor information such as transport links, the most inspiring visitor attractions and sights, unmissable restaurants and great places to stay, making this book the ... Unknown localization key: "more"

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Data Governance For Dummies - Jonathan Reichental

How to build and maintain strong data organizations—the Dummies way Data Governance For Dummies offers an accessible first step for decision makers into understanding how data governance works and how to apply it to an organization in a way that improves results and doesn't disrupt. Prep your organization to handle the data explosion (if you know, you know) and learn how to manage this valuable asset. Take full control of your organization’s data with all the info and how-tos you need. This book walks you through making accurate data readily available and maintaining it in a secure environment. It serves as your step-by-step guide to extracting every ounce of value from your data. Identify the impact and value of data in your businessDesign governance programs that fit your organizationDiscover and adopt tools that measure performance and needAddress data needs and build a more data-centric business cultureThis is the perfect handbook for professionals in the world of data analysis and business intelligence, plus the people who interact with data on a daily basis. And, as always, Dummies explains things in terms anyone can understand, making it easy to learn everything you need to know.

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Stochastic Modelling of Big Data in Finance - Anatoliy Swishchuk

Stochastic Modelling of Big Data in Finance provides a rigorous overview and exploration of stochastic modelling of big data in finance (BDF). The book describes various stochastic models, including multivariate models, to deal with big data in finance. This includes data in high-frequency and algorithmic trading, specifically in limit order books (LOB), and shows how those models can be applied to different datasets to describe the dynamics of LOB, and to figure out which model is the best with respect to a specific data set. The results of the book may be used to also solve acquisition, liquidation and market making problems, and other optimization problems in finance.FeaturesSelf-contained book suitable for graduate students and post-doctoral fellows in financial mathematics and data science, as well as for practitioners working in the financial industry who deal with big dataAll results are presented visually to aid in understanding of conceptsDr. Anatoliy Swishchuk is a Professor in Mathematical Finance at the Department of Mathematics and Statistics, University of Calgary, Calgary, AB, Canada. He got his B.Sc. and M.Sc. degrees from Kyiv State University, Kyiv, Ukraine. He earned two doctorate degrees in Mathematics and Physics (PhD and DSc) from the prestigious National Academy of Sciences ... Unknown localization key: "more"

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What Does Your School Data Team Sound Like? - Dean T. Spaulding, Gail M. Smith

Get your data team working effectively! Data is a valuable resource for improving education. Unfortunately, many school teams struggle to make sense of new and often overwhelming data. What Does Your Data Team Sound Like? provides an approach that supports teams as they review a range of data sets, and improves their conversation about effectively applying data to instructional decision-making. Written to help teams navigate the world of data analysis for on-going school improvement, this book offers an easy to follow framework that dives deep into data-driven instruction. Readers will find: Easy, step-by-step analysis techniques  Case studies that demonstrate different approaches Checklists and flowcharts to help visual the process Developed by expert authors who have worked with data teams across a wide variety of settings and scenarios, this book will help educators take action to create better learning environments for students.Â

Objev podobné jako What Does Your School Data Team Sound Like? - Dean T. Spaulding, Gail M. Smith

Data for All - John K. Thompson

Gain in-depth knowledge about how companies manipulate and exploit personal data. A book that does not require particular technical knowledge – just mere curiosity to explore the subject. From tech experts to the general public, Data for All is the ground-breaking guide to help with the ways third parties use personal data. Written by bestselling author John K Thompson, this edition will aid your understanding of areas, such as The types of data you generate with every action, every day Where your data is stored, who controls it, and how much money they make from it How you can manage access and monetisation of your own data Restricting data access to only companies and organisations you want to support The history of how we think about data, and why that is changing The new data ecosystem is being built right now for your benefit About the technology For years, companies have had free rein to use every click, purchase, and “like” you make, to earn money. Now, across the globe, new laws have been written, passed, and are coming into force, giving individuals the right to access, delete, and monetise their own data. This book provides a vision of how ... Unknown localization key: "more"

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Queer Data - Kevin Guyan

Data has never mattered more. Our lives are increasingly shaped by it and how it is defined, collected and used. But who counts in the collection, analysis and application of data?This important book is the first to look at queer data – defined as data relating to gender, sex, sexual orientation and trans identity/history. The author shows us how current data practices reflect an incomplete account of LGBTQ lives and helps us understand how data biases are used to delegitimise the everyday experiences of queer people.Guyan demonstrates why it is important to understand, collect and analyse queer data, the benefits and challenges involved in doing so, and how we might better use queer data in our work. Arming us with the tools for action, this book shows how greater knowledge about queer identities is instrumental in informing decisions about resource allocation, changes to legislation, access to services, representation and visibility.

Objev podobné jako Queer Data - Kevin Guyan

Data-Driven Decisions - Amy Stubbing

Data-Driven Decisions: A Practical Toolkit for Library and Information Professionals is a simple, jargon-free guide to using data for decision making in library services. The book walks readers step-by-step through each stage of implementing, reviewing and embedding data-driven decisions in their organisation, providing accessible visualisations, top tips, and downloadable tools to support readers on their data journey. Starting with the absolute basics of using data, the author creates a framework for building skills and knowledge slowly until the reader is comfortable with even complex uses of data. The book begins with an exploration of the foundations of data-driven decisions in libraries including a look at the impact of the current financial climate on resources, theoretical foundations of data collection and analysis, and how this book can be used in practice. The next section takes readers through the data-driven decisions model, providing a guide for understanding and a manual for implementation of the model. Finally, the book provides further perspectives and reading surrounding analysis and implementation of data-driven decisions. This section aims to give supplementary and focused information on different areas of data-driven decisions which can be included in processes once the reader understands the foundation of the book from earlier ... Unknown localization key: "more"

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Data Visualization in Excel - Jonathan Schwabish

This book closes the gap between what people think Excel can do and what they can achieve in the tool. Over the past few years, recognition of the importance of effectively visualizing data has led to an explosion of data analysis and visualization software tools. But for many people, Microsoft Excel continues to be the workhorse for their data visualization needs, not to mention the only tool that many data workers have access to. Although Excel is not a specialist data visualization platform, it does have strong capabilities. The default chart types do not need to be the limit of the toolÂ’s data visualization capabilities, and users can extend its features by understanding some key elements and strategies. Data Visualization in Excel provides a step-by-step guide to creating more advanced and often more effective data visualizations in Excel and is the perfect guide for anyone who wants to create better, more effective, and more engaging data visualizations.

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Foundations of Data Science with Python - John M. Shea

Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming. It uses a computational-first approach to data science: the reader will learn how to use Python and the associated data-science libraries to visualize, transform, and model data, as well as how to conduct statistical tests using real data sets. Rather than relying on obscure formulas that only apply to very specific statistical tests, this book teaches readers how to perform statistical tests via resampling; this is a simple and general approach to conducting statistical tests using simulations that draw samples from the data being analyzed. The statistical techniques and tools are explained and demonstrated using a diverse collection of data sets to conduct statistical tests related to contemporary topics, from the effects of socioeconomic factors on the spread of the COVID-19 virus to the impact of state laws on firearms mortality.This book can be used as an undergraduate textbook for an Introduction to Data Science course or to provide a ... Unknown localization key: "more"

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A General Introduction to Data Analytics - Tomáš Horváth, Andre Carvalho, Joao Moreira

A guide to the principles and methods of data analysis that does not require knowledge of statistics or programming A General Introduction to Data Analytics is an essential guide to understand and use data analytics. This book is written using easy-to-understand terms and does not require familiarity with statistics or programming. The authors—noted experts in the field—highlight an explanation of the intuition behind the basic data analytics techniques. The text also contains exercises and illustrative examples. Thought to be easily accessible to non-experts, the book provides motivation to the necessity of analyzing data. It explains how to visualize and summarize data, and how to find natural groups and frequent patterns in a dataset. The book also explores predictive tasks, be them classification or regression. Finally, the book discusses popular data analytic applications, like mining the web, information retrieval, social network analysis, working with text, and recommender systems. The learning resources offer: A guide to the reasoning behind data mining techniquesA unique illustrative example that extends throughout all the chaptersExercises at the end of each chapter and larger projects at the end of each of the text’s two main parts Together with these learning resources, the book can be used in ... Unknown localization key: "more"

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An Introduction to Secondary Data Analysis with IBM SPSS Statistics - John MacInnes

Many professional, high-quality surveys collect data on people′s behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects. Here you will find all you need to know about locating, accessing, preparing and analysing secondary data, along with step-by-step instructions for using IBM SPSS Statistics. You will learn how to: Create a robust research question and design that suits secondary analysis Locate, access and explore data online Understand data documentation Check and ′clean′ secondary data Manage and analyse your data to produce meaningful results Replicate analyses of data in published articles and books Using case studies and video animations to illustrate each step of your research, this book provides you with the quantitative analysis skills you′ll need to pass your course, complete your research project and compete in the job market. Exercises throughout the book and on the book′s companion website give you an opportunity to practice, check your understanding and work hands on with real data as you′re learning.

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Data Science for Business With R - Jeffrey Morgan Stanton, Jeffrey S. Saltz

Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business’s customer survey dataset to illustrate how to turn data in business decisions, in addition to numerous examples throughout. To aid in usability beyond the classroom, the text features full integration of freely-available R and RStudio software, one of the most popular data science tools available. Designed for students with little to no experience in related areas like computer science, the book chapters follow a logical order from introduction and installation of R and RStudio, working with data architecture, undertaking data collection, performing data analysis, and transitioning to data archiving and presentation. Each chapter follows a familiar structure, starting with learning objectives and background, following the basic steps of functions alongside simple examples, applying these functions to the case study, and ending with chapter challenge questions, sources, and a list of R functions so students know what to expect in each step of their data science course. Data Science for Business with ... Unknown localization key: "more"

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Building Data Centers with VXLAN BGP EVPN - David Jansen, Shyam Kapadia, Lukas Krattiger

The complete guide to building and managing next-generation data center network fabrics with VXLAN and BGP EVPN This is the only comprehensive guide and deployment reference for building flexible data center network fabrics with VXLAN and BGP EVPN technologies. Writing for experienced network professionals, three leading Cisco experts address everything from standards and protocols to functions, configurations, and operations. The authors first explain why and how data center fabrics are evolving, and introduce Cisco’s fabric journey. Next, they review key switch roles, essential data center network fabric terminology, and core concepts such as network attributes, control plane details, and the associated data plane encapsulation. Building on this foundation, they provide a deep dive into fabric semantics, efficient creation and addressing of the underlay, multi-tenancy, control and data plane interaction, forwarding flows, external interconnectivity, and service appliance deployments. You’ll find detailed tutorials, descriptions, and packet flows that can easily be adapted to accommodate customized deployments. This guide concludes with a full section on fabric management, introducing multiple opportunities to simplify, automate, and orchestrate data center network fabrics. Learn how changing data center requirements have driven the evolution to overlays, evolved control planes, and VXLAN BGP EVPN spine-leaf fabrics Discover why VXLAN ... Unknown localization key: "more"

Objev podobné jako Building Data Centers with VXLAN BGP EVPN - David Jansen, Shyam Kapadia, Lukas Krattiger

Data-Oriented Programming - Yehonathan Sharvit

Eliminate the unavoidable complexity of object-oriented designs. Using the persistent data structures built into most modern programming languages, Data-oriented programming cleanly separates code and data, which simplifies state management and eases concurrency. In Data-Oriented Programming you will learn how to: Separate code from data Effectively manage state using immutable data Represent data with generic data structures Manipulate data with general-purpose functions Control concurrency in highly scalable systems Specify the shape of your data Benefit from polymorphism without objects Debug programs without a debugger Distinguish data-oriented programming from functional and OO programming Data-Oriented Programming teaches you to design applications using the data-oriented paradigm. These powerful new ideas are presented through conversations, code snippets, diagrams, and even songs to help you quickly grok what''s great about DOP. You''ll learn to write DOP code that can be implemented in languages like JavaScript, Ruby, Python, Clojure and also in traditional OO languages like Java or C#.

Objev podobné jako Data-Oriented Programming - Yehonathan Sharvit

Data Mesh - Pradeep Menon

"Data Mesh: Principles, patterns, architecture, and strategies for data-driven decision making" introduces Data Mesh which is a macro data architecture pattern designed to harmonize governance with flexibility. This book guides readers through the nuances of Data Mesh topologies, explaining how they can be tailored to meet specific organizational needs while balancing central control with domain-specific autonomy. The book delves into the Data Mesh governance framework, which provides a structured approach to manage and control decentralized data assets effectively. It emphasizes the importance of a well-implemented governance structure that ensures data quality, compliance, and access control across various domains. Additionally, the book outlines robust data cataloging and sharing strategies, enabling organizations to improve data discoverability, usage, and interoperability between cross-functional teams. Securing Data Mesh architectures is another critical focus. The text explores comprehensive security strategies that protect data across different layers of the architecture, ensuring data integrity and protecting against breaches.

Objev podobné jako Data Mesh - Pradeep Menon

Ultimate Data Science Programming in Python - Saurabh Chandrakar

In today''s data-driven world, the ability to extract meaningful insights from vast datasets is crucial for success in various fields. This ultimate book for mastering open-source libraries of data science in Python equips you with the essential tools and techniques to navigate the ever-evolving field of data analysis and visualization. Discover how to use Python libraries like NumPy, Pandas, and Matplotlib for data manipulation, analysis, and visualization. This book also covers scientific computing with SciPy and integrates ChatGPT to boost your data science workflow. Designed for data scientists, analysts, and beginners, it offers a practical, hands-on approach to mastering data science fundamentals. With real-world applications and exercises, you will turn raw data into actionable insights, gaining a competitive edge. This book covers everything you need, including open-source libraries, Visual Explorer tools, and ChatGPT, making it a one-stop resource for Python-based data science.

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Byl jednou jeden člověk - Leonardo da Vinci

Naučný komiks představuje život a dílo Leonarda da Vinciho, renesančního génia. Forma komiksu propojená s animovaným seriálem zpřístupňuje téma dětem od 8 let. Kniha má 48 stran v českém jazyce a rozměry 21 x 29 cm.

  • Naučný obsah podaný zábavnou komiksovou formou
  • Propojení s populárním animovaným seriálem České televize
  • Vhodné pro děti od 8 let s českým jazykem
  • Kvalitní rozměry 21x29 cm pro pohodlné čtení

Objev podobné jako Byl jednou jeden člověk - Leonardo da Vinci

How to Think Like Leonardo da Vinci - Michael J. Gelb

This inspiring and inventive guide teaches readers how to develop their full potential by following the example of the greatest genius of all time, Leonardo da Vinci.Acclaimed author Michael J. Gelb, who has helped thousands of people expand their minds to accomplish more than they ever thought possible, shows you how. Drawing on Da Vinci''s notebooks, inventions, and legendary works of art, Gelb introduces Seven Da Vincian Principles—the essential elements of genius—from curiosità, the insatiably curious approach to life to connessione, the appreciation for the interconnectedness of all things. With Da Vinci as your inspiration, you will discover an exhilarating new way of thinking. And step-by-step, through exercises and provocative lessons, you will harness the power—and awesome wonder—of your own genius, mastering such life-changing abilities as:•Problem solving•Creative thinking•Self-expression•Enjoying the world around you •Goal setting and life balance •Harmonizing body and mindDrawing on Da Vinci''s notebooks, inventions, and legendary works of art, acclaimed author Michael J. Gelb, introduces seven Da Vincian principles, the essential elements of genius, from curiosita, the insatiably curious approach to life, to connessione, the appreciation for the interconnectedness of all things. With Da Vinci as their inspiration, readers will discover an exhilarating new way of thinking. Step-by-step, ... Unknown localization key: "more"

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