Antoniucci J Ultimate Monorepo and Bazel for Building Apps at Scale 2024

Antoniucci J Ultimate Monorepo and Bazel for Building Apps at Scale 2024

General:

Name: Antoniucci J Ultimate Monorepo and Bazel for Building Apps at Scale 2024
Format: pdf
Size: 7.32 MB

Book:

Title: Ultimate Monorepo and Bazel for Building Apps at Scale: Level up Your Large-Scale Application Development With Monorepo and Bazel for Enhanced Productivity, Scalability, and Integration
Author: Javier Antoniucci
Language: angielski
Year: 2024
Subjects: Computers, Computers – General & Miscellaneous, Computer Programming, Parallel, Distributed, and Supercomputing, Programming – General & Miscellaneous
Publisher: Orange Education Pvt Ltd
ISBN: 9788197223976
Total pages: 502

Description:

Write optimized queries. This book helps you write queries that perform fast and deliver results on time. You will learn that query optimization is not a dark art practiced by a small, secretive cabal of sorcerers. Any motivated professional can learn to write efficient queries from the get-go and capably optimize existing queries. You will learn to look at the process of writing a query from the database engine’s point of view, and know how to think like the database optimizer.

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Antoni M , Drecki I Geospatial Vision New Dimensions in Cartography 2008

Antoni M , Drecki I Geospatial Vision New Dimensions in Cartography 2008

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Name: Antoni M , Drecki I Geospatial Vision New Dimensions in Cartography 2008
Format: pdf
Size: 30.21 MB

Book:

Title: New Dimensions III
Author: Robert Silverberg, Ursula K. Le Guin&nbspi inni , Damon Knight, Gardner Dozois, Barry N. Malzberg, Wallace M. Macfarlane, Terry Carr, James Tiptree, R.A. Lafferty, George Alec Effinger, Gordon Eklund, F. M. Busbyzwiń
Language: angielski
Year: 1974
Subjects: N/A
Publisher: Wydawnictwo: Signet
ISBN: N/A
Total pages: 252

Description:

Through the portals of time and space – new dimensions!

CONTENTS:
• Introduction (New Dimensions 3) • (1973) • essay by Robert Silverberg
• The Ones Who Walk Away from Omelas • (1973) • short story by Ursula K. Le Guin
• Down There • (1973) • short story by Damon Knight
• How Shall We Conquer? • (1973) • short story by W. Macfarlane
• They Live on Levels • (1973) • short story by Terry Carr
• The Girl Who Was Plugged In • (1973) • novelette by James Tiptree, Jr.
• Days of Grass, Days of Straw • (1973) • short story by R. A. Lafferty
• Notes Leading Down to the Conquest • (1973) • short story by Barry N. Malzberg
• At the Bran Foundry • (1973) • short story by George Alec Effinger [as by Geo. Alec Effinger]
• Tell Me All About Yourself • (1973) • short story by F. M. Busby
• Three Comedians • (1973) • novelette by Gordon Eklund
• The Last Day of July • (1973) • novelette by Gardner Dozois [as by Gardner R. Dozois]

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Anton H , Busby R Contemporary Linear Algebra 1ed 2003

Anton H , Busby R Contemporary Linear Algebra 1ed 2003

General:

Name: Anton H , Busby R Contemporary Linear Algebra 1ed 2003
Format: pdf
Size: 119.27 MB

Book:

Title: Introduction to Linear Algebra
Author: Gilbert Strang
Language: angielski
Year: 2016
Subjects: N/A
Publisher: Wydawnictwo: Cambridge University Press
ISBN: N/A
Total pages: 639

Description:

Undergraduate mathematics textbooks are not what they used to be, and Gilbert Strang’s superb new edition of Introduction to Linear Algebra is an example of everything that a modern textbook could possibly be, and more.
First, let us consider the book itself. As with his classic Linear Algebra and its Applications (Academic Press) from forty years ago, Strang’s new edition of Introduction to Linear Algebra keeps one eye on the theory, the other on applications, and has thestated goal of "opening linear algebra to the world" (Preface, page x).Aimed at the serious undergraduate student – though not just thoseundergraduates who fill the lecture halls of MIT, Strang’s homeinstitution – the writing is engaging and personal, and the presentation is exceptionally clear and informative (even seasoned instructors maybenefit from Strang’s insights). The first six chapters offer atraditional first course that covers vector algebra and geometry,systems of linear equations, vector spaces and subspaces, orthogonality, determinants, and eigenvalues and eigenvectors. The next three chapters are devoted to the singular value decomposition, lineartransformations, and complex numbers and complex matrices, followed bychapters that address a wide range of contemporary applications andcomputational issues. The book concludes with a brief but cogenttreatment of linear statistical analysis.
I would like to stress that there is arichness to the material that goes beyond most texts at this level.Included are guides to websites and to OpenCourseWare, which I shallcomment upon later in this review. The final page lists "Six GreatTheorems of Linear Algebra." Chapter 7 begins with an informativeaccount of image compression, and would be wonderful material for an undergraduate student to present in a seminar to other students.

Strang’s experience at writing and teachinglinear algebra is apparent in the layout of the typeset. Offset in bluetype are topic-specific headings that indicate what is contained in thecontent of the text to follow. For example, on page 5, after developingmaterial on linear combinations of vectors, we find the heading "TheImportant Questions." On page 149, after studying the null space, thereis a subsection with the heading "Elimination: The Big Picture." Eachsection contains the headings "Review of the Key Ideas," "WorkedExamples," "Problems," and "Challenge Problems." These sections areessential reading for the instructor, not just the student. The WorkedExamples include material such as the Gershgorin Circle Theorem, whilethe Problems and Challenge Problems offer the student a chance to master basic ideas and to think much more mathematically about the conceptsunder study. For example, Problem 29 of Chapter 6 asks for thecomputation of the eigenvalues of three matrices (not just genericmatrices, but matrices with structure and, thus, a chance to learnsomething about how the features of the matrix influence theeigenvalues),while Problem 39 of the same chapter asks for the possible values of the determinants, traces, and eigenvalues of the six 3 X 3permutation matrices. There is nothing here that can be said to be dry,uninteresting, or irrelevant; rarely does an undergraduate mathematicstext feel so alive as this one.

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Anton H Elementary Linear Algebra 12ed 2020

Anton H Elementary Linear Algebra 12ed 2020

General:

Name: Anton H Elementary Linear Algebra 12ed 2020
Format: pdf
Size: 12.39 MB

Book:

Title: Elementary Linear Algebra, 12th Edition
Author: HOWARD ANTON AND ANTON KAUL
Language: angielski
Year: 2017
Subjects: Science & Technology, Mathematics, Algebra
Publisher: CRC Press
ISBN: 9781351253109
Total pages: 611

Description:

Elementary Linear Algebra is written for the first undergraduate course. The book focuses on the importance of linear algebra in many disciplines such as engineering, economics, statistics, and computer science. The text reinforces critical ideas and lessons of traditional topics. More importantly, the book is written in a manner that deeply ingrains computational methods.

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Anton H Elementary Linear Algebra Apps Version 12ed 2019

Anton H Elementary Linear Algebra Apps Version 12ed 2019

General:

Name: Anton H Elementary Linear Algebra Apps Version 12ed 2019
Format: pdf
Size: 31.95 MB

Book:

Title: Elementary Linear Algebra: Applications Version, 12th Australia and New Zealand Edition
Author: Anton, Howard;
Language: angielski
Year: 2016
Subjects: N/A
Publisher: Wydawnictwo: Cambridge University Press
ISBN: N/A
Total pages: 803

Description:

Undergraduate mathematics textbooks are not what they used to be, and Gilbert Strang’s superb new edition of Introduction to Linear Algebra is an example of everything that a modern textbook could possibly be, and more.
First, let us consider the book itself. As with his classic Linear Algebra and its Applications (Academic Press) from forty years ago, Strang’s new edition of Introduction to Linear Algebra keeps one eye on the theory, the other on applications, and has thestated goal of "opening linear algebra to the world" (Preface, page x).Aimed at the serious undergraduate student – though not just thoseundergraduates who fill the lecture halls of MIT, Strang’s homeinstitution – the writing is engaging and personal, and the presentation is exceptionally clear and informative (even seasoned instructors maybenefit from Strang’s insights). The first six chapters offer atraditional first course that covers vector algebra and geometry,systems of linear equations, vector spaces and subspaces, orthogonality, determinants, and eigenvalues and eigenvectors. The next three chapters are devoted to the singular value decomposition, lineartransformations, and complex numbers and complex matrices, followed bychapters that address a wide range of contemporary applications andcomputational issues. The book concludes with a brief but cogenttreatment of linear statistical analysis.
I would like to stress that there is arichness to the material that goes beyond most texts at this level.Included are guides to websites and to OpenCourseWare, which I shallcomment upon later in this review. The final page lists "Six GreatTheorems of Linear Algebra." Chapter 7 begins with an informativeaccount of image compression, and would be wonderful material for an undergraduate student to present in a seminar to other students.

Strang’s experience at writing and teachinglinear algebra is apparent in the layout of the typeset. Offset in bluetype are topic-specific headings that indicate what is contained in thecontent of the text to follow. For example, on page 5, after developingmaterial on linear combinations of vectors, we find the heading "TheImportant Questions." On page 149, after studying the null space, thereis a subsection with the heading "Elimination: The Big Picture." Eachsection contains the headings "Review of the Key Ideas," "WorkedExamples," "Problems," and "Challenge Problems." These sections areessential reading for the instructor, not just the student. The WorkedExamples include material such as the Gershgorin Circle Theorem, whilethe Problems and Challenge Problems offer the student a chance to master basic ideas and to think much more mathematically about the conceptsunder study. For example, Problem 29 of Chapter 6 asks for thecomputation of the eigenvalues of three matrices (not just genericmatrices, but matrices with structure and, thus, a chance to learnsomething about how the features of the matrix influence theeigenvalues),while Problem 39 of the same chapter asks for the possible values of the determinants, traces, and eigenvalues of the six 3 X 3permutation matrices. There is nothing here that can be said to be dry,uninteresting, or irrelevant; rarely does an undergraduate mathematicstext feel so alive as this one.

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Anton H Elementary Linear Algebra Apps Version 11ed 2014

Anton H Elementary Linear Algebra Apps Version 11ed 2014

General:

Name: Anton H Elementary Linear Algebra Apps Version 11ed 2014
Format: pdf
Size: 8.08 MB

Book:

Title: Elementary Linear Algebra: Applications Version, 11th Edition
Author: Howard Anton
Language: angielski
Year: 2016
Subjects: N/A
Publisher: Wydawnictwo: Cambridge University Press
ISBN: N/A
Total pages: 802

Description:

Undergraduate mathematics textbooks are not what they used to be, and Gilbert Strang’s superb new edition of Introduction to Linear Algebra is an example of everything that a modern textbook could possibly be, and more.
First, let us consider the book itself. As with his classic Linear Algebra and its Applications (Academic Press) from forty years ago, Strang’s new edition of Introduction to Linear Algebra keeps one eye on the theory, the other on applications, and has thestated goal of "opening linear algebra to the world" (Preface, page x).Aimed at the serious undergraduate student – though not just thoseundergraduates who fill the lecture halls of MIT, Strang’s homeinstitution – the writing is engaging and personal, and the presentation is exceptionally clear and informative (even seasoned instructors maybenefit from Strang’s insights). The first six chapters offer atraditional first course that covers vector algebra and geometry,systems of linear equations, vector spaces and subspaces, orthogonality, determinants, and eigenvalues and eigenvectors. The next three chapters are devoted to the singular value decomposition, lineartransformations, and complex numbers and complex matrices, followed bychapters that address a wide range of contemporary applications andcomputational issues. The book concludes with a brief but cogenttreatment of linear statistical analysis.
I would like to stress that there is arichness to the material that goes beyond most texts at this level.Included are guides to websites and to OpenCourseWare, which I shallcomment upon later in this review. The final page lists "Six GreatTheorems of Linear Algebra." Chapter 7 begins with an informativeaccount of image compression, and would be wonderful material for an undergraduate student to present in a seminar to other students.

Strang’s experience at writing and teachinglinear algebra is apparent in the layout of the typeset. Offset in bluetype are topic-specific headings that indicate what is contained in thecontent of the text to follow. For example, on page 5, after developingmaterial on linear combinations of vectors, we find the heading "TheImportant Questions." On page 149, after studying the null space, thereis a subsection with the heading "Elimination: The Big Picture." Eachsection contains the headings "Review of the Key Ideas," "WorkedExamples," "Problems," and "Challenge Problems." These sections areessential reading for the instructor, not just the student. The WorkedExamples include material such as the Gershgorin Circle Theorem, whilethe Problems and Challenge Problems offer the student a chance to master basic ideas and to think much more mathematically about the conceptsunder study. For example, Problem 29 of Chapter 6 asks for thecomputation of the eigenvalues of three matrices (not just genericmatrices, but matrices with structure and, thus, a chance to learnsomething about how the features of the matrix influence theeigenvalues),while Problem 39 of the same chapter asks for the possible values of the determinants, traces, and eigenvalues of the six 3 X 3permutation matrices. There is nothing here that can be said to be dry,uninteresting, or irrelevant; rarely does an undergraduate mathematicstext feel so alive as this one.

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Anthony J et al Advanced Accounting 13ed 2018

Anthony J et al Advanced Accounting 13ed 2018

General:

Name: Anthony J et al Advanced Accounting 13ed 2018
Format: pdf
Size: 3.85 MB

Book:

Title: Advanced Accounting, Global Edition
Author: Floyd A. Beams,Joseph H. Anthony,Bruce Bettinghaus,Kenneth Smith
Language: angielski
Year: N/A
Subjects: N/A
Publisher: Wydawnictwo: John Wiley & Sons, Inc.
ISBN: N/A
Total pages: 820

Description:

This is a continuation of a distinguished series of handbooks, first published over 79 years ago. The list of contributors reads like a who s-who in accounting. The Accountants Handbook series has the longest tradition of providing comprehensive coverage

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Ansermet J Spintronics A Primer 2025

Ansermet J Spintronics A Primer 2025

General:

Name: Ansermet J Spintronics A Primer 2025
Format: pdf
Size: 11.7 MB

Book:

Title: Spintronics: A Primer
Author: Jean-Philippe Ansermet
Language: angielski
Year: 2015
Subjects: Bibles & Christianity, Religion, Current Affairs & Politics, Christianity, Diplomacy & International Relations, General Christianity, Christianity – General & Miscellaneous, Peace Studies
Publisher: Orbis
ISBN: 9781608332380
Total pages: 455

Description:

Thoroughly revised and updated, the new edition of this popular classroom text has added substantial discussions of globalization, ethno-nationalist conflict, terrorism, and conflicts in the Middle East, plus a list of web sites along with study questions for each chapter, maps, tables, figures and sidebars with topics for reflection.

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Anselin L An Introduction to Spatial Data Science with GeoDa Vol 2 2024

Anselin L An Introduction to Spatial Data Science with GeoDa Vol 2 2024

General:

Name: Anselin L An Introduction to Spatial Data Science with GeoDa Vol 2 2024
Format: pdf
Size: 34.67 MB

Book:

Title: An Introduction to Spatial Data Science with GeoDa: Volume 2 – Clustering Spatial Data
Author: Luc Anselin
Language: polski
Year: 2024
Subjects: Science & Technology, Mathematics, Probability Theory, Statistics
Publisher: CRC Press
ISBN: 9781040028759
Total pages: 238

Description:

This book is the second in a two-volume series that introduces the field of spatial data science. It moves beyond pure data exploration to the organization of observations into meaningful groups, i.e., spatial clustering. This constitutes an important component of so-called unsupervised learning, a major aspect of modern machine learning.
The distinctive aspects of the book are both to explore ways to spatialize classic clustering methods through linked maps and graphs, as well as the explicit introduction of spatial contiguity constraints into clustering algorithms. Leveraging a large number of real-world empirical illustrations, readers will gain an understanding of the main concepts and techniques and their relative advantages and disadvantages. The book also constitutes the definitive user’s guide for these methods as implemented in the GeoDa open source software for spatial analysis.
It is organized into three major parts, dealing with dimension reduction (principal components, multidimensional scaling, stochastic network embedding), classic clustering methods (hierarchical clustering, k-means, k-medians, k-medoids and spectral clustering), and spatially constrained clustering methods (both hierarchical and partitioning). It closes with an assessment of spatial and non-spatial cluster properties.
The book is intended for readers interested in going beyond simple mapping of geographical data to gain insight into interesting patterns as expressed in spatial clusters of observations. Familiarity with the material in Volume 1 is assumed, especially the analysis of local spatial autocorrelation and the full range of visualization methods.

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Anselin L An Introduction to Spatial Data Science with GeoDa Vol 1 2024

Anselin L An Introduction to Spatial Data Science with GeoDa Vol 1 2024

General:

Name: Anselin L An Introduction to Spatial Data Science with GeoDa Vol 1 2024
Format: pdf
Size: 20.42 MB

Book:

Title: An Introduction to Spatial Data Science with GeoDa: Volume 1 – Exploring Spatial Data
Author: Luc Anselin
Language: polski
Year: 2024
Subjects: Science & Technology, Earth Science, Geography, Geography – General & Miscellaneous
Publisher: CRC Press
ISBN: 9781040010907
Total pages: 453

Description:

This book is the first in a two-volume series that introduces the field of spatial data science. It offers an accessible overview of the methodology of exploratory spatial data analysis. It also constitutes the definitive user’s guide for the widely adopted GeoDa open-source software for spatial analysis. Leveraging a large number of real-world empirical illustrations, readers will gain an understanding of the main concepts and techniques, using dynamic graphics for thematic mapping, statistical graphing, and, most centrally, the analysis of spatial autocorrelation. Key to this analysis is the concept of local indicators of spatial association, pioneered by the author and recently extended to the analysis of multivariate data.
The focus of the book is on intuitive methods to discover interesting patterns in spatial data. It offers a progression from basic data manipulation through description and exploration to the identification of clusters and outliers by means of local spatial autocorrelation analysis. A distinctive approach is to spatialize intrinsically non-spatial methods by means of linking and brushing with a range of map representations, including several that are unique to the GeoDa software. The book also represents the most in-depth treatment of local spatial autocorrelation and its visualization and interpretation by means of GeoDa.
The book is intended for readers interested in going beyond simple mapping of geographical data to gain insight into interesting patterns. Some basic familiarity with statistical concepts is assumed, but no previous knowledge of GIS or mapping is required.
Key Features:
• Includes spatial perspectives on cluster analysis
• Focuses on exploring spatial data
• Supplemented by extensive support with sample data sets and examples on the GeoDaCenter website
This book is both useful as a reference for the software and as a text for students and researchers of spatial data science.

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