python for data analysis 3e wes mckinney

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third 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, 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 Jupyter notebook and IPython shell for exploratory computingLearn basic and advanced features in NumPyGet started with data analysis tools in the pandas libraryUse flexible tools to load, clean, transform, merge, and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, detailed examples

Objev podobné jako Python for Data Analysis 3e - Wes McKinney

Data science and machine learningâ ”two of the world s hottest fieldsâ ”are attracting talent from a wide variety of technical, business, and liberal arts disciplines. Python, the world s #1 programming language, is also the most popular language for data science and machine learning. This is the first guide specifically designed to help students with widely diverse backgrounds learn foundational Python so they can use it for data science and machine learning. This book is catered to introductory-level college courses on data science. Leading data science instructor and practitioner Kennedy Behrman first walks through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data science programmer needs to master. Once students have learned these foundations, Behrman introduces intermediate and applied Python techniques for real-world problem-solving. Throughout, Foundational Python for Data Science presents hands-on exercises, learning assessments, case studies, and moreâ ”all created with Colab (Jupyter compatible) notebooks, so students can execute all coding examples interactively without installing or configuring any software.

Objev podobné jako Foundational Python for Data Science - Kennedy Behrman

Python Workout presents 50 exercises designed to deepen the reader⠙s skill with Python. Readers will not only tackle exercises using built-in data structures, but also more advanced techniques, such as functional programming, object-oriented programming, iterators, and generators. With each engaging challenge, readers will practice a new skill and learn how to apply it to everyday coding tasks. Key Features 50 hands-on exercises and solutions Basic Python sequence types Python dictionaries and sets Functional programming in Python Creating your own classes Working with Python objects Generator functions Intended for readers with basic Python skills. About the technology Python is a versatile, elegant, general purpose programming language. Essential for data analysis, web development, artificial intelligence, games, desktop apps, and more, Python skills are a hot commodity. Reuven M. Lerner, an independent consultant for more than two decades, teaches Python, data science, and Git to companies around the world. His Better developers newsletter and blog are read by thousands of Python developers each week. Reuven has written a monthly column, ⠜At the Forge,⠝ for Linux Journal since 1996 and is a panellist on the weekly Freelancers Show podcast. Reuven lives with his wife and three children in Modi⠙in, Israel, and can be reached at https://lerner.co.il/ or on Twitter at @reuvenmlerner.

Objev podobné jako Python Workout - Reuven Lerner

See how an AI assistant can bring your ideas to life immediately! Once, to be a programmer you had to write every line of code yourself. Now tools like GitHub Copilot can instantly generate working programs based on your description in plain English. An instant bestseller, Learn AI-Assisted Python Programming has taught thousands of aspiring programmers how to write Python the easy wayâ ”with the help of AI. It s perfect for beginners, or anyone who s struggled with the steep learning curve of traditional programming. In Learn AI-Assisted Python Programming, Second Edition you ll learn how to: Write fun and useful Python applicationsâ ”no programming experience required! Use the GitHub Copilot AI coding assistant to create Python programs Write prompts that tell Copilot exactly what to do Read Python code and understand what it does Test your programs to make sure they work the way you want them to Fix code with prompt engineering or human tweaks Apply Python creatively to help out on the job AI moves fast, and so the new edition of Learn AI-Assisted Python Programming, Second Edition is fully updated to take advantage of the latest models and AI coding tools. Written by two esteemed computer science university professors, it teaches you everything you need to start programming Python in an AI-first world. You ll learn skills you can use to create working apps for data analysis, automating tedious tasks, and even video games. Plus, in this new edition, you ll find groundbreaking techniques for breaking down big software projects into smaller tasks AI can easily achieve. About the technology: The way people write computer programs has changed forever. Using GitHub Copilot, you describe in plain English what you want your program to do, and the AI generates it instantly.

Objev podobné jako Learn AI-Assisted Python Programming, Second Edition - Daniel Zingaro, Leo Porter

MACHINE LEARNING FOR BUSINESS ANALYTICS An up-to-date introduction to a market-leading platform for data analysis and machine learning Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro, 2nd ed. offers an accessible and engaging introduction to machine learning. It provides concrete examples and case studies to educate new users and deepen existing usersâ ™ understanding of their data and their business. Fully updated to incorporate new topics and instructional material, this remains the only comprehensive introduction to this crucial set of analytical tools specifically tailored to the needs of businesses. Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro, 2nd ed. readers will also find: Updated material which improves the bookâ ™s usefulness as a reference for professionals beyond the classroomFour new chapters, covering topics including Text Mining and Responsible Data ScienceAn updated companion website with data sets and other instructor resources: www.jmp.com/dataminingbookA guide to JMP Pro s new features and enhanced functionality Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro, 2nd ed. is ideal for students and instructors of business analytics and data mining classes, as well as data science practitioners and professionals in data-driven industries.

Objev podobné jako Machine Learning for Business Analytics - Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Muralidhara Anandamurthy, Mia L. Stephens

Wrangle stats as you learn how to graph, analyze, and interpret data with Python Statistical Analysis with Python For Dummies introduces you to the tool of choice for digging deep into data to inform business decisions. Even if you re new to coding, this book unlocks the magic of Python and shows you how to apply it to statistical analysis tasks. You ll learn to set up a coding environment and use Python s libraries and functions to mine data for correlations and test hypotheses. You ll also get a crash course in the concepts of probability, including graphing and explaining your results. Part coding book, part stats class, part business analyst guide, this book is ideal for anyone tasked with squeezing insight from data. Get clear explanations of the basics of statistics and data analysisLearn how to summarize and analyze data with Python, step by stepImprove business decisions with objective evidence and analysisExplore hypothesis testing, regression analysis, and prediction techniques This is the perfect introduction to Python for students, professionals, and the stat-curious.

Objev podobné jako Statistical Analysis with Python For Dummies - Joseph Schmuller

An ideal textbook for complete beginnersâ ”teaches from scratch R, statistics, and the fundamentals of quantitative social scienceData Analysis for Social Science provides a friendly introduction to the statistical concepts and programming skills needed to conduct and evaluate social scientific studies. Assuming no prior knowledge of statistics and coding and only minimal knowledge of math, the book teaches the fundamentals of survey research, predictive models, and causal inference while analyzing data from published studies with the statistical program R. It teaches not only how to perform the data analyses but also how to interpret the results and identify the analysesâ ™ strengths and limitations. Progresses by teaching how to solve one kind of problem after another, bringing in methods as needed. It teaches, in this order, how to (1) estimate causal effects with randomized experiments, (2) visualize and summarize data, (3) infer population characteristics, (4) predict outcomes, (5) estimate causal effects with observational data, and (6) generalize from sample to population. Flips the script of traditional statistics textbooks. It starts by estimating causal effects with randomized experiments and postpones any discussion of probability and statistical inference until the final chapters. This unconventional order engages students by demonstrating from the very beginning how data analysis can be used to answer interesting questions, while reserving more abstract, complex concepts for later chapters. Provides a step-by-step guide to analyzing real-world data using the powerful, open-source statistical program R, which is free for everyone to use. The datasets are provided on the bookâ ™s website so that readers can learn how to analyze data by following along with the exercises in the book on their own computer. Assumes no prior knowledge of statistics or coding. Specifically designed to accommodate students with a variety of math backgrounds. It includes supplemental materials for students with minimal knowledge of math and clearly identifies sections with more advanced material so that readers can skip them if they so choose. Provides cheatsheets of statistical concepts and R code. Comes with instructor materials (upon request), including sample syllabi, lecture slides, and additional replication-style exercises with solutions and with the real-world datasets analyzed. Looking for a more advanced introduction? Consider Quantitative Social Science by Kosuke Imai. In addition to covering the material in Data Analysis for Social Science, it teaches diffs-in-diffs models, heterogeneous effects, text analysis, and regression discontinuity designs, among other things.

Objev podobné jako Data Analysis for Social Science - Kosuke Imai, Elena Llaudet

Everything you need to know to get into Python coding, with 7 books in one Python All-in-One For Dummies is your one-stop source for answers to all your Python questions. From creating apps to building complex web sites to sorting big data, Python provides a way to get the work done. This book is great as a starting point for those new to coding, and it also makes a perfect reference for experienced coders looking for more than the basics. Apply your Python skills to data analysis, learn to write AI-assisted code using GitHub CoPilot, and discover many more exciting uses for this top programming language. Get started coding in Pythonâ ”even if youâ ™re new to computer programmingReference all the essentials and the latest updates, so your code is air-tightLearn how Python can be a solution for large-scale projects and big datasetsAccelerate your career path with this comprehensive guide to learning PythonExperienced and would-be coders alike will love this easy-to-follow guide to learning and applying Python.

Objev podobné jako Python All-in-One For Dummies - Alan Simpson, John C. Shovic

Create simple, easy programs in the popular Python language Beginning Programming with Python For Dummies is the trusted way to learn the foundations of programming using the Python programming language. Python is one of the top-ranked languages, and thereâ ™s no better way to get started in computer programming than this friendly guide. Youâ ™ll learn the basics of coding and the process of creating simple, fun programs right away. This updated edition features new chapters, including coverage of Google Colab, plus expanded information on functions and objects, and new examples and graphics that are relevant to todayâ ™s beginning coders. Dummies helps you discover the wealth of things you can achieve with Python. Employ an online coding environment to avoid installation woes and code anywhere, any time Learn the basics of programming using the popular Python language Create easy, fun projects to show off your new coding chops Fix errors in your code and use Python with external data sets Beginning Programming with Python For Dummies will get new programmers startedâ ”the easy way.Â

Objev podobné jako Beginning Programming with Python For Dummies - John Paul Mueller

Python for Kids brings Python to life and brings kids (and their parents) into the wonderful world of programming. Author Jason R. Briggs guides readers through the basics, experimenting with unique (and often hilarious) example programs that feature ravenous monsters, secret agents, thieving ravens, and more. Full-colour illustrations keep things fun and engaging throughout! This second edition has been completely updated and revised to reflect the latest Python version and programming practices, with new puzzles to inspire readers to take their code farther than ever before.

Objev podobné jako Python for Kids, 2nd Edition - Jason R. Briggs

Developed in cooperation with the International Baccalaureate®Enable students to construct, communicate and justify correct mathematical arguments with a range of activities and examples of maths in the real world.- Engage and excite students with examples and photos of maths in the real world, plus inquisitive starter activities to encourage their problem-solving skills- Build mathematical thinking with our new toolkit feature of questions, investigations and activities- Develop understanding with key concepts and applications integrated throughout, along with TOK links for every topic- Prepare your students for assessment with worked examples, and extended essay support- Check understanding with review exercise at the end of the coursebookFollows the new 2019 IB Guide for Mathematics: analysis and approaches Higher LevelAvailable in the seriesMathematics for the IB Diploma: Analysis and approaches SLStudent Book ISBN: 9781510462359Student Book Boost eBook ISBN: 9781398334304Exam Practice Workbook Mathematics for the IB Diploma: Analysis and approaches SL 9781398321182Exam Practice Workbook Mathematics for the IB Diploma: Analysis and approaches SL Boost eBook 9781398342316Mathematics for the IB Diploma: Analysis and approaches HLStudent Book ISBN: 9781510462366Student Book Boost eBook ISBN: 9781398334311Exam Practice Workbook Mathematics for the IB Diploma: Analysis and approaches HL 9781398321878Exam Practice Workbook Mathematics for the IB Diploma: Analysis and approaches HL Boost eBook 9781398342361SL HL Boost Subscription: 9781398341265

Objev podobné jako Mathematics for the IB Diploma: Analysis and approaches HL - Fannon Paul, Ben Woolley, Vesna Kadelburg, Stephen Ward, Huw Jones

Developed in cooperation with the International Baccalaureate®Enable students to construct, communicate and justify correct mathematical arguments, with a range of activities and examples of maths in the real world.- Engage and excite students with examples and photos of maths in the real world, plus inquisitive starter activities to encourage their problem-solving skills- Build mathematical thinking with our Toolkit and mathematical exploration chapter, along with our new toolkit feature of questions, investigations and activities- Develop understanding with key concepts and applications integrated throughout, along with TOK links for every topic- Prepare your students for assessment with worked examples, and extended essay support- Check understanding with review exercise midway and at the end of the coursebookFollows the new 2019 IB Guide for Mathematics: analysis and approaches Standard LevelAvailable in the seriesMathematics for the IB Diploma: Analysis and approaches SLStudent Book ISBN: 9781510462359Student Book Boost eBook ISBN: 9781398334304Exam Practice Workbook Mathematics for the IB Diploma: Analysis and approaches SL 9781398321182Exam Practice Workbook Mathematics for the IB Diploma: Analysis and approaches SL Boost eBook 9781398342316Mathematics for the IB Diploma: Analysis and approaches HLStudent Book ISBN: 9781510462366Student Book Boost eBook ISBN: 9781398334311Exam Practice Workbook Mathematics for the IB Diploma: Analysis and approaches HL 9781398321878Exam Practice Workbook Mathematics for the IB Diploma: Analysis and approaches HL Boost eBook 9781398342361SL HL Boost Subscription: 9781398341265

Objev podobné jako Mathematics for the IB Diploma: Analysis and approaches SL - Fannon Paul, Ben Woolley, Vesna Kadelburg, Stephen Ward, Huw Jones

An intuitive guide for professionals wanting to prepare for the future of Microsoft Excel by building Python in Excel skills and unleashing the power of their data. A hands-on guide to the foundational Python in Excel skills youâ ™ll need to understand and use this powerful analytics tool, Python in Excel Step-by-Step is for current Excel users interested in expanding their data analysis skillset with Python. Analytics educator and Microsoft Excel MVP David Langer demonstrates how to use Python in Excel, tounlock new analytics capabilities in Excel, and build your foundation for the future of Excel: do-it-yourself (DIY) data science. The book leverages your existing Excel knowledge to learn the Python foundation you can apply right away. This is the same approach David has used to successfully teach more than 1,000 professionals Python â “ even if youâ ™ve never written code before. David also includes: Targeted coverage of the Python fundamentals required for analytics â “ learn just what you need fastHow to use the powerful pandas and plotnine libraries to facilitate data manipulation and visualization using Python in ExcelA DIY data science roadmap for you to build the skills you need to unleash the power of your data to have more impact at work Perfect for professionals use Microsoft Excel for data analysis, like marketing managers, financial analysts, and supply chain manager, Python in Excel Step-by-Step is an invaluable new resource for all business professionals who use Excel and want to build skills for Excelâ ™s AI-powered future.

Objev podobné jako Python in Excel Step-by-Step - David Langer

You Will Learn Python! Zed Shaw has created the world s most reliable system for learning Python. Follow it and you will succeed--just like the millions of beginners Zed has taught to date! You bring the discipline, persistence, and attention; the author supplies the masterful knowledge you need to succeed. In Learn Python the Hard Way, Fifth Edition, you ll learn Python by working through 60 lovingly crafted exercises. Read them. Type in the code. Run it. Fix your mistakes. Repeat. As you do, you ll learn how a computer works, how to solve problems, and how to enjoy programming . . . even when it s driving you crazy. Install a complete Python environment Organize and write code Fix and break code Basic mathematics Strings and text Interact with users Work with files Looping and logic Object-oriented programming Data structures using lists and dictionaries Modules, classes, and objects Python packaging Automated testing Basic SQL for Data Science Web scraping Fixing bad data (munging) The Data part of Data Science It ll be frustrating at first. But if you keep trying, you ll get it--and it ll feel amazing! This course will reward you for every minute you put into it. Soon, you ll know one of the world s most powerful, popular programming languages. You ll be a Python programmer. This Book Is Perfect For Total beginners with zero programming experience Junior developers who know one or two languages Returning professionals who haven t written code in years Aspiring Data Scientists or academics who need to learn to code Seasoned professionals looking for a fast, simple crash course in Python for Data Science Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Objev podobné jako Learn Python the Hard Way - Zed Shaw

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 Excelâ ”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 Excel trend curves, multiple regression, and exponential smoothing for predictive analytics Use Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbook

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

Looking to use NVivo in your qualitative research? With easy-to-use instructions and screenshots for both Windows and Mac users, this book first covers the basics of coding in NVivo before helping you extend your knowledge and confidence using the software. But this is more than just a ⠘how to⠙ software manual. Each chapter offers rich, methodological discussions that interweave qualitative thinking with technology, enabling you to develop a sophisticated research practice.Starting with how to navigate the software before moving on to different types of data you might use - such as text, images, and social media data - and how to code and visualise that data, each chapter helps you develop your skill in using NVivo to support effective qualitative analysis.The book also: Helps you understand why and when to use NVivo tools and how to combine them creatively; Includes a new chapter on visualising and reporting on your data using NVivo; Provides practical support for using NVivo 14, including fully updated screenshots, click-by-click instructions, screencast videos, and datasets for you to try what you⠙ve learned. Designed for anyone who wants to use NVivo in their research, this book is the go-to for conducting robust qualitative data analysis.

Objev podobné jako Qualitative Data Analysis with NVivo - Jenine Beekhuyzen, Pat Bazeley

What if Wes Anderson designed your house? His aesthetic is colourful, warm and inviting - perfect ingredients for beautiful home decor. Live Like Wes focuses on the interior design and styling of classic Wes Anderson films and shows you how to apply it at home. The book is split into eight chapters, each based on an Anderson movie and the aesthetic styling it best exemplifies - Bohemian kitsch for The Royal Tenenbaums, cottage-core for Fantastic Mr Fox, pattern for The Darjeeling Limited, European Charm for The French Dispatch, whimsical for Moonrise Kingdom, Mid-Century Modern for Asteroid City, symmetry for The Life Aquatic with Steve Zissou and dopamine decor for The Grand Budapest Hotel. So whether you re in the market for a cottage-core kitchen straight out of Fantastic Mr Fox or you want to turn your dining room into a Mid-Century Modern masterpiece a la Asteroid City, there is something here no matter how deep you want to live your Wes fantasy.With well-researched film analysis and practical advice on how to get the look, the book includes stunning photos from 30 international interior designers who have emanated the Anderson aesthetic - to perfection. Each chapter also includes an illustrated step-by-step project and a party plan inspired by a film. Knit yourself a Steve Zissou red beanie table favour and you ll be all set for The Life Aquatic lunch menu, complete with original negroni recipe, playlist and dream invite list. Of course David Attenborough is invited.This beautiful book is perfect for fans of Accidentally Wes or anyone who would like to make that Wes magic last after the final credits.

Objev podobné jako Live Like Wes - Jessie Atkinson

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.

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

Excel is a mainstay of the modern workplace, but it isn t up to every task. Python for Excel Users offers a better way, showing how relatively simple programming can greatly boost productivity by streamlining workflows and adding new tools to the reader s toolbox - no programming experience required. Uses include: Generating beautiful data visualizations, Creating interactive reports and dashboards, Tracking collaborative projects. This book leverages what readers already know about Excel to introduce useful coding applications. Practical examples illustrate how programming skills can be immediately applied to the reader s day-to-day work.

Objev podobné jako Python for Excel Users - Tracy Stephens

A hands-on roadmap to using Python for artificial intelligence programming In Practical Artificial Intelligence Programming with Python: From Zero to Hero, veteran educator and photophysicist Dr. Perry Xiao delivers a thorough introduction to one of the most exciting areas of computer science in modern history. The book demystifies artificial intelligence and teaches readers its fundamentals from scratch in simple and plain language and with illustrative code examples. Divided into three parts, the author explains artificial intelligence generally, machine learning, and deep learning. It tackles a wide variety of useful topics, from classification and regression in machine learning to generative adversarial networks. He also includes: Fulsome introductions to MATLAB, Python, AI, machine learning, and deep learningExpansive discussions on supervised and unsupervised machine learning, as well as semi-supervised learningPractical AI and Python ⠜cheat sheet⠝ quick referencesThis hands-on AI programming guide is perfect for anyone with a basic knowledge of programming⠔including familiarity with variables, arrays, loops, if-else statements, and file input and output⠔who seeks to understand foundational concepts in AI and AI development.

Objev podobné jako Artificial Intelligence Programming with Python - Perry Xiao

Using statistics to analyse research data can be tricky when you are getting started. This book shows you how to effectively conduct statistical analysis in both R and SPSS without getting overwhelmed by complex theories and formulas.It is a practical manual that uses worked examples to help you get to grips with running statistical tests using commonly used software. Straightforward and clear, it assumes no prior knowledge and calmly takes you from reading the first page to completing your own analysis.It also: Covers all the statistics you need to know to pass your exam and do well at coursework Presents varied, adaptable solutions to common problems. Embeds road-tested best practice into every stage of your analysis. Provides you with programming skills that boost your employability.  Gives any essential theory in a simple, easy to follow, manner Helps to bridge the gap between using SPSS and R (or vice versa)If you want to strengthen your grasp of statistics, overcome statistics anxiety or just pass your course - this is the guide for you.Â

Objev podobné jako A Practical Guide to Data Analysis - Andrew Jones, Christiansen

Further Mathematics for Economic Analysis is a companion volume to the successful and highly regarded Essential Mathematics for Economic Analysis. It finds the right balance between mathematics and economic examples, providing a text that is demanding in level and broad ranging in content, whilst remaining accessible and interesting to its target audience.This book is intended for advanced undergraduate and graduate students of economics whose mathematical requirements go beyond the material usually taught in undergraduate courses. Student: Student Manual Instructor: Instructorâ ™s Manual with answers

Objev podobné jako Further Mathematics for Economic Analysis - Arne Strom, Peter Hammond, Knut Sydsaeter, Atle Seierstad

Peck and Olsenâ ™s INTRODUCTION TO STATISTICS AND DATA ANALYSIS, 7th Edition helps you develop the ability to think statistically through its focus on conceptual understanding, use of real data and interpretation and communication of statistical information. Graphical displays of complex data sets are now common both online and in print media, and it is important to be able to interpret these types of displays. The 7th edition contains a new section on graphical displays of multivariable data, with a focus on extracting information and learning from them. WebAssign for Statistics accompanies this text. Designed by educators, WebAssign helps you learn not just do homework. WebAssign grants access to the ebook, assessments and analytics to enable you to be a self-sufficient learner and help you succeed in your course.

Objev podobné jako Introduction to Statistics and Data Analysis - Christina Olséni, Roxy Peck

The Third Edition of Structured Analytic Techniques for Intelligence Analysis by Randolph H. Pherson and Richards J. Heuer Jr showcases sixty-six structured analytic techniquesâ ”nine new to this editionâ ”that represent the most current best practices in intelligence, law enforcement, homeland security, and business analysis. With more depth, detail, and utility than existing handbooks, each technique is clearly and systematically explained. Logically organized and richly illustrated, and with spiral binding and tabs that separate techniques into categories, this book is an easy-to-use, comprehensive reference.

Objev podobné jako Structured Analytic Techniques for Intelligence Analysis - Randolph H. Pherson, Richards J., Jr. Heuer

Exam Board: SQALevel: National 5Subject: EnglishFirst teaching: September 2017First exam: Summer 2018Offer the best possible preparation for National 5 English RUAE. Building students confidence in reading unseen texts, this book focuses on the skills required for the exam before progressing to worked examples and full-length practice papers.- Teaches students how to answer every question type effectively and demonstrate their ability to understand ideas, analyse language and structure, and evaluate writers techniques- Enables students to put their RUAE skills into practice as they tackle a range of short extracts and questions accompanied by active learning approaches, group work and individual tasks- Tests the skills that students have developed through six full-length passages and practice assessments, with answers and marking guidelines available online at hoddergibson.co.uk/answers-N5-English-RUAE- Provides stretch and challenge opportunities, including extension activities and further reading that will broaden students Reading for Understanding, Analysis and Evaluation skills

Objev podobné jako National 5 English: Reading for Understanding, Analysis and Evaluation, Second Edition - Andrew G. Ralston, Nicola Daniel, Mary M. Firth

Syllabus: CfE (Curriculum for Excellence, from Education Scotland) and SQALevel: BGE S1-3: Third Fourth LevelsSubject: EnglishFocus specifically on RUAE skills at Third and Fourth Levels with this popular book from Jane Cooper, comprising examples, models and active learning tasks, plus 15 practice assessments.Designed for use in BGE (S1-S3), this book helps students to: Develop their close reading skills Understand the distinction between key ideas and supporting details Analyse writers language and style via a broad range of text extracts Learn the key concepts of reading for understanding, analysis and evaluation through examples, models and active learning tasks in Part One of the book Apply, develop and monitor RUAE skills in Part Two, with 15 practice assessments that gradually increase in difficulty and sample both fiction and non-fiction texts Prepare for National qualifications as the practice assessments serve as a useful precursor to the style of RUAE assessments at National 5 and beyond

Objev podobné jako Levels 3-4 English: Reading for Understanding, Analysis and Evaluation Skills - Jane Cooper

Exam Board: SQALevel: HigherSubject: EnglishFirst Teaching: September 2014First Exam: June 2015A brand new edition of the former Higher English Close Reading, completely rewritten for the new Higher element - worth 30% of marks in the final exam. Written by two highly experienced authors, this book shows you how to practise for the Reading for Understanding, Analysis and Evaluation section of the CfE Higher English exam. It introduces the terms and concepts that lie behind success and offers guidance on the interpretation of questions and targeting answers.- Acquire and improve the skills needed for success in this area of CfE Higher- Includes questions and passages to reflect the style of assessments in this section of the paper- Revise for the exam using the practice papers and accompanying book of suggested answers

Objev podobné jako Higher English: Reading for Understanding, Analysis and Evaluation - Ann Bridges, Colin Eckford

Syllabus: CfE (Curriculum for Excellence, from Education Scotland) and SQALevel: BGE S1-3: Third Fourth LevelsSubject: EnglishCapture pupils imagination and attention with a rich collection of quality texts, handpicked by Jane Cooper to ensure that pupils want to start reading - and keep reading.Tailored to the interests, motivations and abilities of pupils working towards Second and Third Levels in S1 to S3, this book will help you to close the attainment gap. Unlock a world of meaning, connection and questioning. Part One teaches the close reading skills that pupils need throughout their lives, with simple explanations, lots of examples and tasks set at three levels - Building , Strengthening and Extending . Apply and develop RUAE skills and monitor progress. Part Two contains ten practice assessments that gradually increase in difficulty, with longer passages, more complex language and more challenging questions. Save time sourcing non-fiction text extracts. Drawing on her long career as an English teacher and author, Jane Cooper has a talent for knowing which topics pupils will find curious or fun - from the world s cheesiest pizza to a mysterious metal column that appeared in a desert. Build the foundations for success in National qualifications. With Course Reports showing that N5 and Higher students most commonly lose marks in the RUAE papers, this book offers a proactive solution to building confidence and skills during BGE. Support the individual needs of every pupil. Providing differentiated, age-appropriate content and tasks, this is the perfect resource for mixed-ability classrooms - especially when used alongside its companion volume, Levels 3-4 English: Reading for Understanding, Analysis and Evaluation Skills.

Objev podobné jako Reading for Understanding, Analysis and Evaluation Skills: Second and Third Levels English - Jane Cooper

Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.

Objev podobné jako Python for Finance 2e - Yves Hilpisch

Malware analysis is big business, and attacks can cost a company dearly. When malware breaches your defenses, you need to act quickly to cure current infections and prevent future ones from occurring. For those who want to stay ahead of the latest malware, Practical Malware Analysis will teach you the tools and techniques used by professional analysts. With this book as your guide, you ll be able to safely analyze, debug, and disassemble any malicious software that comes your way. You ll learn how to: Set up a safe virtual environment to analyze malware Quickly extract network signatures and host-based indicators Use key analysis tools like IDA Pro, OllyDbg, and WinDbg Overcome malware tricks like obfuscation, anti-disassembly, anti-debugging, and anti-virtual machine techniques Use your newfound knowledge of Windows internals for malware analysis Develop a methodology for unpacking malware and get practical experience with five of the most popular packers Analyze special cases of malware with shellcode, C++, and 64-bit code Hands-on labs throughout the book challenge you to practice and synthesize your skills as you dissect real malware samples, and pages of detailed dissections offer an over-the-shoulder look at how the pros do it. You ll learn how to crack open malware to see how it really works, determine what damage it has done, thoroughly clean your network, and ensure that the malware never comes back. Malware analysis is a cat-and-mouse game with rules that are constantly changing, so make sure you have the fundamentals. Whether you re tasked with securing one network or a thousand networks, or you re making a living as a malware analyst, you ll find what you need to succeed in Practical Malware Analysis.

Objev podobné jako Practical Malware Analysis - Michael Sikorski

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 greater clarity and easeCommunicate-integrate prose, code, and results with Quarto

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

Crime Analysis With Crime Mapping, Fifth Edition provides students and practitioners with a solid introduction to the conceptual nature and practice of crime analysis and how it assists police in crime reduction. Author Rachel Boba Santos delves into this emerging field, providing guidelines and techniques for conducting crime analysis supported by evidence-based research, real world application, and recent innovations in the field. As the only introductory core text for crime analysis, this must-have resource presents readers with opportunities to apply theory, research methods, and statistics to careers that support and enhance the effectiveness of modern policing.

Objev podobné jako Crime Analysis with Crime Mapping - Rachel Boba Santos

Charles Krebs best-selling majors-level text approaches ecology as a series of problems that are best understood by evaluating empirical evidence through data analysis and application of quantitative reasoning. No other text presents analytical, quantitative, and statistical ecological information in an equally accessible style for students. Reflecting the way ecologists actually practice, the new edition emphasises the role of experiments in testing ecological ideas and discusses many contemporary and controversial problems related to distribution and abundance. Ecology: The Experimental Analysis of Distribution and Abundance, 6th Edition builds on a clear writing style, historical perspective, and emphasis on data analysis with an updated, reorganised discussion of key topics and two new chapters on climate change and animal behavior. Key concepts and key terms are now included at the beginning of each chapter to help students focus on what is most important within each chapter, mathematical analyses are broken down step by step in a new feature called ⠜Working with the Data,⠝ concepts are reinforced throughout the text with examples from the literature, and end-of-chapter questions and problems emphasise application.

Objev podobné jako Ecology: The Experimental Analysis of Distribution and Abundance - Charles Krebs

This book provides a narrative of how R can be useful in the analysis of public administration, public policy, and political science data specifically, in addition to the social sciences more broadly. It can serve as a textbook and reference manual for students and independent researchers who wish to use R for the first time or broaden their skill set with the program. While the book uses data drawn from political science, public administration, and policy analyses, it is written so that students and researchers in other fields should find it accessible and useful as well. By the end of the first seven chapters, an entry-level user should be well acquainted with how to use R as a traditional econometric software program. The remaining four chapters will begin to introduce the user to advanced techniques that R offers but many other programs do not make available such as how to use contributed libraries or write programs in R. The book details how to perform nearly every task routinely associated with statistical modeling: descriptive statistics, basic inferences, estimating common models, and conducting regression diagnostics. For the intermediate or advanced reader, the book aims to open up the wide array of sophisticated methods options that R makes freely available. It illustrates how user-created libraries can be installed and used in real data analysis, focusing on a handful of libraries that have been particularly prominent in political science. The last two chapters illustrate how the user can conduct linear algebra in R and create simple programs. A key point in these chapters will be that such actions are substantially easier in R than in many other programs, so advanced techniques are more accessible in R, which will appeal to scholars and policy researchers who already conduct extensive data analysis. Additionally, the book should draw the attention of students and teachers of quantitative methods in the political disciplines.

Objev podobné jako Political Analysis Using R - James E. Monogan III

In Analysing Quantitative Data, Charles A. Scherbaum and Kristen M. Shockley guide the reader through Understanding Quantitative Data Analysis, Basic Components of Quantitative Data Analysis, Conducting Quantitative Data Analysis, Examples of Quantitative Data Analysis and Conclusions. An appendix contains Excel Formulas. Ideal for Business and Management students reading for a Master⠙s degree, each book in the series may also serve as reference books for doctoral students and faculty members interested in the method. Part of SAGE⠙s Mastering Business Research Methods Series, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis.

Objev podobné jako Analysing Quantitative Data for Business and Management Students - Charles A Scherbaum, Kristen M. Shockley

When you know the cause of an event, you can affect its outcome. This accessible introduction to causal inference shows you how to determine causality and estimate effects using statistics and machine learning.In Causal Inference for Data Science you will learn how to: Model reality using causal graphs Estimate causal effects using statistical and machine learning techniques Determine when to use A/B tests, causal inference, and machine learning Explain and assess objectives, assumptions, risks, and limitations Determine if you have enough variables for your analysis It s possible to predict events without knowing what causes them. Understanding causality allows you both to make data-driven predictions and also intervene to affect the outcomes. Causal Inference for Data Science shows you how to build data science tools that can identify the root cause of trends and events. You ll learn how to interpret historical data, understand customer behaviors, and empower management to apply optimal decisions.

Objev podobné jako Causal Inference for Data Science - Aleix de Villa

Eugene Bardach and co-author Eric Patashnik draw on more than 40 years of experience teaching students to be effective, accurate, and persuasive policy analysts. This bestselling handbook presents dozens of concrete tips, interesting case studies, and step-by-step strategies for the budding analyst as well as the seasoned professional.

Objev podobné jako A Practical Guide for Policy Analysis - International Student Edition - Eric M. Patashnik, Eugene S. Bardach

Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field Big Data: Concepts, Technology, and Architecture delivers a comprehensive treatment of Big Data tools, terminology, and technology perfectly suited to a wide range of business professionals, academic researchers, and students. Beginning with a fulsome overview of what we mean when we say, ⠜Big Data,⠝ the book moves on to discuss every stage of the lifecycle of Big Data. Youâ ™ll learn about the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining. Youâ ™ll also discover how specific technologies like Apache Hadoop, SQOOP, and Flume work. Big Data also covers the central topic of big data visualization with Tableau, and youâ ™ll learn how to create scatter plots, histograms, bar, line, and pie charts with that software. Accessibly organized, Big Data includes illuminating case studies throughout the material, showing you how the included concepts have been applied in real-world settings. Some of those concepts include: The common challenges facing big data technology and technologists, like data heterogeneity and incompleteness, data volume and velocity, storage limitations, and privacy concerns Relational and non-relational databases, like RDBMS, NoSQL, and NewSQL databases Virtualizing Big Data through encapsulation, partitioning, and isolating, as well as big data server virtualization Apache software, including Hadoop, Cassandra, Avro, Pig, Mahout, Oozie, and Hive The Big Data analytics lifecycle, including business case evaluation, data preparation, extraction, transformation, analysis, and visualization Perfect for data scientists, data engineers, and database managers, Big Data also belongs on the bookshelves of business intelligence analysts who are required to make decisions based on large volumes of information. Executives and managers who lead teams responsible for keeping or understanding large datasets will also benefit from this book. Â

Objev podobné jako Big Data - Amir H. Gandomi, Seifedine Kadry, Nandhini Abirami R, Balamurugan Balusamy

⠜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, from operational improvements through innovation Planning strategic, business-driven Big Data initiatives Addressing considerations such as data management, governance, and security Recognizing the 5 ⠜V⠝ characteristics of datasets in Big Data environments: volume, velocity, variety, veracity, and value Clarifying Big Data⠙s relationships with OLTP, OLAP, ETL, data warehouses, and data marts Working with Big Data in structured, unstructured, semi-structured, and metadata formats Increasing value by integrating Big Data resources with corporate performance monitoring Understanding how Big Data leverages distributed and parallel processing Using NoSQL and other technologies to meet Big Data⠙s distinct data processing requirements Leveraging statistical approaches of quantitative and qualitative analysis Applying computational analysis methods, including machine learning

Objev podobné jako Big Data Fundamentals - Thomas Erl, Paul Buhler, Wajid Khattak

Prepare for Microsoft Exam PL-300 and help demonstrate your real-world ability to deliver actionable insights with Power BI by leveraging available data and domain expertise; to provide meaningful business value through clear data visualizations; to enable others to perform self-service analytics, and to deploy and configure solutions for consumption. Designed for data analysts, business users, and other professionals, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Power BI Data Analyst Associate level. Focus on the expertise measured by these objectives: Prepare the data Model the data Visualize and analyze the data Deploy and maintain assets This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are a data analyst, business intelligence professional, report creator, or other professional seeking to validate your skills and knowledge in analyzing data with Power BI About the Exam Exam PL-300 focuses on knowledge needed to get data from different data sources; clean, transform, and load data; design and develop data models; create model calculations with DAX; optimize model performance; create reports and dashboards; enhance reports for usability and storytelling; identify patterns and trends; and manage files, datasets, and workspaces. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Power BI Data Analyst Associate certification, demonstrating your understanding of data repositories and data processes, and your skills in designing and building scalable data models, cleaning and transforming data, enabling advanced analytic capabilities to provide meaningful business value, and collaborating with key stakeholders to deliver relevant insights based on identified business requirements. See full details at: microsoft.com/learn

Objev podobné jako Exam Ref PL-300 Power BI Data Analyst - Daniil Maslyuk

For thirty years, ⠜best practices⠝ in data have delivered bigger platforms, thicker slide decks, and disappointing outcomes. The problem isn⠙t technology. It⠙s mindset. The Data Hero Playbook reveals how limiting beliefs⠔learned helplessness, all-or-nothing thinking, externalized blame⠔have kept data from becoming truly transformational. The cure is a growth mindset, put into action through practical steps any data professional can take. You⠙ll discover how to: Put customers at the center of every decision. Apply product management principles to data work. Quantify value in revenue, cost savings, and risk reduction. Run data as if it were a P L. Deliver fast wins with a Data Strategy MVP in weeks, not months. Unflinching about what hasn⠙t worked yet unapologetically hopeful about what⠙s next, this book is a call to arms for data leaders ready to escape the status quo. If you want to stop explaining why data should matter and start proving it with measurable results, The Data Hero Playbook is your guide. Become the data hero your company actually needs.

Objev podobné jako The Data Hero Playbook - Malcolm Hawker

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

This book provides insights into the true nature of financial and economic data, and is a practical guide on how to analyze a variety of data sources. The focus of the book is on finance and economics, but it also illustrates the use of quantitative analysis and data science in many different areas. Lastly, the book includes practical information on how to store and process data and provides a framework for data driven reasoning about the world.The book begins with entertaining tales from Graham Giller s career in finance, starting with speculating in UK government bonds at the Oxford Post Office, accidentally creating a global instant messaging system that went viral before anybody knew what that meant, on being the person who forgot to hit enter to run a hundred-million dollar statistical arbitrage system, what he decoded from his brief time spent with Jim Simons, and giving Michael Bloomberg a tutorial on Granger Causality.The majority of the content is a narrative of analytic work done on financial, economics, and alternative data, structured around both Dr Giller s professional career and some of the things that just interested him. The goal is to stimulate interest in predictive methods, to give accurate characterizations of the true properties of financial, economic and alternative data, and to share what Richard Feynman described as The Pleasure of Finding Things Out.

Objev podobné jako Adventures In Financial Data Science: The Empirical Properties Of Financial And Economic Data - Graham L Giller

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 presentationsâ ”and you ll love how quick Generative AI makes the whole process!

Objev podobné jako Data Storytelling with Generative AI - Angelica Duca

Prepare for Microsoft Exam 70-778â “and help demonstrate your real-world mastery of Power BI data analysis and visualization. Designed for experienced BI professionals and data analysts ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Consume and transform data by using Power BI Desktop Model and visualize data Configure dashboards, reports, and apps in the Power BI Service This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have experience consuming and transforming data, modeling and visualizing data, and configuring dashboards using Excel and Power BI

Objev podobné jako Exam Ref 70-778 Analyzing and Visualizing Data by Using Microsoft Power BI - Daniil Maslyuk

An expansive vision for data equality that goes beyond algorithmic fairness. When we gave algorithms power over our world, we hoped that the apparent neutrality of machine thinking would create a more egalitarian age. Yet we are more divided than ever, staring down threats to democracy itself. In Data Equals, Colin Koopman argues that data technologies fail us so often because we built them around a deficient notion of equality. It is not enough, Koopman explains, that algorithms engage everyoneâ ™s data with the same measuring stick. The data themselves are all too often structured in ways that obscure and exacerbate stratifying distinctions. Koopman contends that we must also work to ensure that those people subject to computational assessment enter data systems on equal terms. Part philosophical argument, part practical guide (replete with case studies from education technology), Data Equals offers novel methods for realizing democratic equality in a digital age.

Objev podobné jako Data Equals - Colin Koopman

A long overdue look at the artistic investigations of the late artist Beatriz da Costa, revealing the depth and prescience of her work.Beatriz da Costa: (un)disciplinary tactics is the most comprehensive documentation and analysis to date of late artist Beatriz da Costa’s (1974–2012) groundbreaking work. As a retrospective of a brilliant young artist, it renders a social portrait of her artistic practice by both contextualizing the work in its historical period (late 1990s to early 2010s) and extending the work’s socio-political concerns to the present. The book, edited by Daniela Lieja Quintanar, features a collection of essays by curators, artists, and researchers from a variety of fields, including technoscience, tactical media, cancer research, environmental justice, performance art, and participatory art. It also includes a group of reflections written by former collaborators and close friends.Beginning with da Costa’s early projects in the late 1990s as a student in the arts and robotics at Carnegie Mellon University, the book surveys her collaborative work withcollectives Critical Art Ensemble and Preemptive Media, as well as her research-basedand large-scale installations made in the early 2000s. The publication is a faithfulrecord of da Costa’s entire oeuvre, including information about artworks sheleft incomplete due to financial, health, or time limitations. Additionally, the bookincludes da Costa’s own critical writing on art and politics, as well as self-authoreddescriptions of her own work and an unflinching interview with cancer researcher Robert Schneider, who was a fundamental figure for da Costa at the end of her young life.The book accompanies a solo exhibition at LACE (Los Angeles Contemporary Exhibitions) as part of the Getty’s PST ART: Art Science Collide initiative.

Objev podobné jako Beatriz da Costa - Daniela Lieja Quintanar

A Nordic Ware Premier Gold Collection 6 darabos, miniatűr bábovkaformája öntött alumíniumból készült, tapadásmentes bevonattal. Kiváló hővezető képessége és könnyű kiboríthatósága garantálja a tökéletes sütési eredményt. A forma életre szóló garanciával rendelkezik, és az USA-ban készült.

• Prémium minőségű, öntött alumínium anyagból készült tartós forma.
• Speciális tapadásmentes bevonat garantálja a tökéletes kiborítást.
• Kompakt, 6 darabos kialakítás, ideális egy adagos desszertekhez.
• A Heritage mintázat ikonikus, dekoratív megjelenést kölcsönöz.

Objev podobné jako Nordic Ware Forma na 6 malých bábovek zlatá 6 x 160 ml

A Nordic Ware Premier Gold kollekciójába tartozó, arany színű chiffon bundt forma öntött alumíniumból készült, speciális tapadásmentes bevonattal. Közepes méretű, kb. 10 csésze térfogatú tésztához ideális, romantikus, ráncos mintázattal. Kiváló hővezetést és könnyű kiboríthatóságot biztosít, kézi mosást igényel.

• Prémium öntött alumínium kivitelezés kiváló hővezető képességgel.
• Speciális tapadásmentes bevonat biztosítja a tökéletes kiboríthatóságot és finom részletek megőrzését.
• Romantikus, ráncos szövetet idéző dekoratív design, amely díszítő elem is a konyhában.
• Az USA-ban készült Premier Gold kollekció része, garantált minőség és tartósság.

Objev podobné jako Nordic Ware Forma na bábovku Chiffon, zlatá

A Nordic Ware réz színű, liliomvirág mintás Bundt® forma öntött alumíniumból készül, nem tapadó bevonattal. Kiváló hővezetését és könnyű kiboríthatóságát a prémium anyagok és a speciális bevonat biztosítja. Közepes méretű, hagyományos amerikai dizájnú, élethosszig tartó garanciával ellátott sütőedény.

• Prémium minőségű, öntött alumíniumból készült, kiváló hővezető képességgel.
• Speciális nem tapadó bevonat garantálja a tökéletes, sérülésmentes kiborítást.
• Elegáns liliomvirág (Fleur De Lis) dizájn, amely dekoratív elem is a konyhában.
• Élethosszig tartó garancia és egyszerű kézi tisztíthatóság.

Objev podobné jako Nordic Ware Forma na bábovku Lilie měděná 2,4 l