Problems applied analysis (264 Ergebnisse)

Zustand: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

hardcover. Zustand: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

hardcover. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

hardcover. Zustand: Good. Hardcover ex-library with typical marks shows moderate cover wear. Text is unmarked. Ships FAST.

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Zustand: Fine. Zustand des Schutzumschlags: Very Good. 1977 Academic Press Edition. With previous owner's name, otherwise this is a fine hardcover 1977 printing copy in green cloth binding, no DJ.

Hardcover. Zustand: Good. Good plus. NOT A FORMER LIBRARY BOOK.

hardcover. Zustand: Very Good. Legacy smart filter userdata3=general (pricing criteria).

hardcover. Zustand: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority.

hardcover. Zustand: Very Good. Advances in Local Fracture/Damage Models for the Analysis of Engineering Problems 1992: Applied Mechanics Conference, Tempe, Arizona, April 28-May 1, . Tempe, Arizona, April 28-May 1, 1992) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.…

Paperback. Zustand: Good. Intelligently connect data points and gain a deeper understanding of environmental problems through hands-on Geospatial Data Science case studies written in Python The book includes colored images of important concepts Key Features Learn how to integrate spatial data and spatial thinking into traditional data science workflows Develop a spatial perspective and learn to avoid common pitfalls along the way Gain expertise through practical case studies applicable in a variety of industries with code samples that can be reproduced and expanded Book DescriptionData scientists, when presented with a myriad of data, can often lose sight of how to present geospatial analyses in a meaningful way so that it makes sense to everyone. Using Python to visualize data helps stakeholders in less technical roles to understand the problem and seek solutions. The goal of this book is to help data scientists and GIS professionals learn and implement geospatial data science workflows using Python. Throughout this book, you?ll uncover numerous geospatial Python libraries with which you can develop end-to-end spatial data science workflows. You?ll learn how to read, process, and manipulate spatial data effectively. With data in hand, you?ll move on to crafting spatial data visualizations to better understand and tell the story of your data through static and dynamic mapping applications. As you progress through the book, you?ll find yourself developing geospatial AI and ML models focused on clustering, regression, and optimization. The use cases can be leveraged as building blocks for more advanced work in a variety of industries. By the end of the book, you?ll be able to tackle random data, find meaningful correlations, and make geospatial data models.What you will learn Understand the fundamentals needed to work with geospatial data Transition from tabular to geo-enabled data in your workflows Develop an introductory portfolio of spatial data science work using Python Gain hands-on skills with case studies relevant to different industries Discover best practices focusing on geospatial data to bring a positive change in your environment Explore solving use cases, such as traveling salesperson and vehicle routing problems Who this book is forThis book is for you if you are a data scientist seeking to incorporate geospatial thinking into your workflows or a GIS professional seeking to incorporate data science methods into yours. You?ll need to have a foundational knowledge of Python for data analysis and/or data science.…

Hardcover. Zustand: VG-. Zustand des Schutzumschlags: Very Good. used hardcover in a dust jacket. the jacket is somewhat worn about the edges and slightly scuffed, has only small tears at extremeties. corners slightly bumped, but pages and binding are clean, straight and tight. there are no marks to the text or other serious flaws. FORMER OWNER'S NAME STAMPED TO BOTTOM EDGES AND FFEP.…

Paperback. Zustand: Good. Intelligently connect data points and gain a deeper understanding of environmental problems through hands-on Geospatial Data Science case studies written in Python The book includes colored images of important concepts Key Features Learn how to integrate spatial data and spatial thinking into traditional data science workflows Develop a spatial perspective and learn to avoid common pitfalls along the way Gain expertise through practical case studies applicable in a variety of industries with code samples that can be reproduced and expanded Book DescriptionData scientists, when presented with a myriad of data, can often lose sight of how to present geospatial analyses in a meaningful way so that it makes sense to everyone. Using Python to visualize data helps stakeholders in less technical roles to understand the problem and seek solutions. The goal of this book is to help data scientists and GIS professionals learn and implement geospatial data science workflows using Python. Throughout this book, you?ll uncover numerous geospatial Python libraries with which you can develop end-to-end spatial data science workflows. You?ll learn how to read, process, and manipulate spatial data effectively. With data in hand, you?ll move on to crafting spatial data visualizations to better understand and tell the story of your data through static and dynamic mapping applications. As you progress through the book, you?ll find yourself developing geospatial AI and ML models focused on clustering, regression, and optimization. The use cases can be leveraged as building blocks for more advanced work in a variety of industries. By the end of the book, you?ll be able to tackle random data, find meaningful correlations, and make geospatial data models.What you will learn Understand the fundamentals needed to work with geospatial data Transition from tabular to geo-enabled data in your workflows Develop an introductory portfolio of spatial data science work using Python Gain hands-on skills with case studies relevant to different industries Discover best practices focusing on geospatial data to bring a positive change in your environment Explore solving use cases, such as traveling salesperson and vehicle routing problems Who this book is forThis book is for you if you are a data scientist seeking to incorporate geospatial thinking into your workflows or a GIS professional seeking to incorporate data science methods into yours. You?ll need to have a foundational knowledge of Python for data analysis and/or data science.…

Hardcover. Zustand: Very Good.

Paperback. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

hardcover. Zustand: New.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9780691142173. …

Zustand: New.

Zustand: very_good. This book is in Very good condition. There may be a few flaws like shelf wear and some light wear.

Softcover. Zustand: Sehr gut. 1. Auflage. Das Buch ist in einem sehr guten Zustand. Es ist noch unbenutzt.

PAPERBACK. Zustand: Very Good. 0486627136 Light cover wear. Pages are like new. No highlighting. No underlining. Previous owner's name inside front covers. Retail 4.00.

Paperback. Zustand: Brand New. reprint edition. 410 pages. 8.75x5.75x0.75 inches. In Stock.

Zustand: New.

Zustand: good. Books may contain some notes and highlighting. Supplements such as Access Codes, Cd's Dust Jackets, etc. are not guaranteed with used book purchases.

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Paperback or Softback. Zustand: New. Urban Problems (Routledge Revivals): An Applied Urban Analysis. Book.

hardcover. Zustand: Fine. Connecting readers with great books since 1972! May contain remainder marks. We ship orders daily and Customer Service is our top priority.