Tabla de Contenidos: “…-- Thin Provisioning -- Data Deduplication -- Array Compression -- Downside of Saving Space -- Designing for Performance -- Measuring Storage Performance -- How to Calculate a Disk's IOPS -- What Can Affect a Storage Array's IOPS? …”

Tabla de Contenidos: “…-- 8.1.1 The five stages of the Datashader rendering pipeline -- 8.1.2 Creating a Datashader Visualization -- 8.2 Plotting location data as an interactive heatmap -- 8.2.1 Preparing geographic data for map tiling -- 8.2.2 Creating the interactive heatmap -- Summary -- Part 3: Extending and deploying Dask -- Chapter 9: Working with Bags and Arrays -- 9.1 Reading and parsing unstructured data with Bags -- 9.1.1 Selecting and viewing data from a Bag -- 9.1.2 Common parsing issues and how to overcome them -- 9.1.3 Working with delimiters -- 9.2 Transforming, filtering, and folding elements -- 9.2.1 Transforming elements with the map method -- 9.2.2 Filtering Bags with the filter method -- 9.2.3 Calculating descriptive statistics on Bags -- 9.2.4 Creating aggregate functions using the foldby method -- 9.3 Building Arrays and DataFrames from Bags -- 9.4 Using Bags for parallel text analysis with NLTK -- 9.4.1 The basics of bigram analysis -- 9.4.2 Extracting tokens and filtering stopwords -- 9.4.3 Analyzing the bigrams -- Summary -- Chapter 10: Machine learning with Dask-ML -- 10.1 Building linear models with Dask-ML -- 10.1.1 Preparing the data with binary vectorization -- 10.1.2 Building a logistic regression model with Dask-ML -- 10.2 Evaluating and tuning Dask-ML models -- 10.2.1 Evaluating Dask-ML models with the score method -- 10.2.2 Building a naïve Bayes classifier with Dask-ML -- 10.2.3 Automatically tuning hyperparameters -- 10.3 Persisting Dask-ML models -- Summary -- Chapter 11: Scaling and deploying Dask -- 11.1 Building a Dask cluster on Amazon AWS with Docker -- 11.1.1 Getting started…”

Tabla de Contenidos: “…Introduction to NumPy -- C.1 NumPy -- C.1.1 NumPy arrays -- C.1.2 Two-dimensional NumPy arrays -- C.1.3 Randomly generated arrays -- C.2 NumPy operations -- C.2.1 Element-wise operations -- C.2.2 Summarizing operations -- C.2.3 Sorting -- C.2.4 Reshaping and combining -- C.2.5 Slicing and filtering…”

Tabla de Contenidos: “…7.3 Passing Arguments -- 7.3.1 Call by Value -- 7.3.2 Call by Address -- 7.3.3 Call by Reference -- 7.4 Lvalues and Rvalues -- 7.4.1 Lvalues (Left Values) -- 7.4.2 Rvalues (Right Values) -- 7.5 Return by Reference -- 7.6 Returning More Values by Reference -- 7.7 Default Arguments -- 7.8 const Arguments -- 7.9 Inputting Default Arguments -- 7.10 Inline Functions -- 7.11 Function Overloading -- 7.12 Principles of Function Overloading -- 7.13 Precautions with Function Overloading -- 7.14 Recursion -- 7.14.1 Rules for Recursive Function -- 7.15 Library Functions -- 7.15.1 Ceil, ceill and floor, floorl -- 7.15.2 modf and modfI -- 7.15.3 abs, fabs, and labs -- 7.15.4 norm -- 7.15.5 complex(), real(), imag(), and conj() -- 7.16 More Programs -- Summary -- Exercises -- Chapter 8 : Classes and Objects -- 8.1 Introduction -- 8.2 Structure in C -- 8.3 Structure in C++ -- 8.4 Classes in C++ -- 8.5 Declaring Objects -- 8.6 The public Keyword -- 8.7 The private Keyword -- 8.8 The protected Keyword -- 8.9 Access Specifiers and their Scope -- 8.10 Defining Member Functions -- 8.10.1 Member Function Inside the class -- 8.10.2 Private Member Function -- 8.10.3 Member Function Outside the class -- 8.11 Characteristics of Member Functions -- 8.12 Outside Member Function as Inline -- 8.13 Rules for Inline Functions -- 8.14 Data Hiding or Encapsulation -- 8.15 Classes, Objects, and Memory -- 8.16 static Member Variables -- 8.17 static Member Functions -- 8.17.1 static Private Member Function -- 8.17.2 static Public Member Variable -- 8.18 static Object -- 8.19 Array of Objects -- 8.20 Objects as Function Arguments -- 8.21 friend Functions -- 8.21.1 friend Classes -- 8.22 The const Member Functions -- 8.23 The Volatile Member Function -- 8.24 Recursive Member Function -- 8.25 Local Classes -- 8.26 empty, static, and const Classes…”

Tabla de Contenidos: “…La música madrileña en la Restauración (1875-1885)El ambiente musical madrileño; La Ópera; La Ópera Nacional Española ; La situación a comienzos del periodo; Un folleto de Barbieri; Los teatros madrileños; La crítica y los estrenos; Compositores; Óperas: ""Ledia"",""Mitríadates""; Libretistas: Arnao y Capdepón; Posibilidades de una Ópera Nacional; Capdepón (1881); Arderíus (1882); Bretón (1885); El público y los críticos; Situación a finales del período; Wagner en Madrid; Peña y Goñi; Esperanza y Solá; El P. …”

Tabla de Contenidos: “….); STRING (CADENA DE CARACTERES); ARRAY; OBJETO; LO QUE HEMOS APRENDIDO TEMA 2; TEMA 3; GETTYPE; CAMBIO DE TIPO O TIPADO; FORZADO; INTEGER (ENTERO); FORMATOS DE BASE…”

Tabla de Contenidos: “…Herencias campesinasHerencias de collazos; Rehaciendo las explotaciones campesinas: arras y dotes; Rehaciendo las explotaciones campesinas: arrendamientos, mercado de la tierra y roturaciones; Estrategias campesinas; La formación de las comunidades campesinas; SEGUNDA PARTE; IV DEGRADACIÓN SIMBÓLICA EN LA SERVIDUMBRE NAVARRO-ARAGONESA; Virginidad, violación y matrimonio en el Fuero General de Navarra; Violencia y honor en el universo servil: juicios de Dios en las normativas forales de Navarra y Aragón; La soga al cuello y otros asuntos de honor…”

Tabla de Contenidos: “…FIDEIUSSIO Y FIANZA. -- 6.2. ARRAS. -- 6.3. ESTIPULACIÓN PENAL. -- BIBLIOGRAFÍA RECOMENDADA. -- RESUMEN -- PRÁCTICA SOBRE CONOCIMIENTOS ADQUIRIDOS. -- 8.- DELITOS -- 1. …”
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“…This updated second edition includes new material on key conversations with distance workers, as well as within the context of a fast-growth company, and a broad selection of real-world case studies from a diverse array of workplaces. Backed by contemporary psychological theory and time-tested amongst thousands of leaders, these highly relevant suggestions give you the power to deal with the tough stuff effectively and compassionately. …”

Tabla de Contenidos: “…La prima en función de arras…”

Tabla de Contenidos: “…; c) Sources; 2) Terms and Definitions; a) Consumerism and Consumption; i) The Term Consumption; ii) The Concept of Consumerism; b) Cultural Critique, Critique of Authority andEnvironmental Criticism; c) Consumer Society; i) Narrowing Down »Consumer Society«; ii) Emergence of Consumer Societies; d) Consumption and Religion; e) Consumption in Art History; i) Marcel Duchamp; ii) Andy Warhol; iii) Jeff Koons; f) Graffiti, Street Art, and Urban Art…”

Tabla de Contenidos: “…; The C# name; Chapter 7: General description; Where to look for requirements on unsafe constructs; Chapter 8: Language overview; Annotation free zone; 8.1 Getting started; 8.2 Types; 8.2.1 Predefined types; 8.2.2 Conversions; 8.2.3 Array types; 8.2.4 Type system unification; 8.3 Variables and parameters; 8.4 Automatic memory management; 8.5 Expressions; 8.6 Statements; 8.7 Classes; 8.7.1 Constants; 8.7.2 Fields; 8.7.3 Methods; 8.7.4 Properties; 8.7.5 Events; 8.7.6 Operators; 8.7.7 Indexers; 8.7.8 Instance constructors; 8.7.9 Finalizers…”

“…This updated edition contains: Significant new material including an expanded view of its applicability to a broad array of business and life challenges a new streamlined version of the Preparation Checklist a more precise understanding of the concept of WIN-win a Foreword by Cal Ripken, Jr. and an Epilogue highlighting negotiation lessons from the life of Nelson Mandela The book also provides a link to reinforcement of its lessons through the website of the Shapiro Negotiations Institute.Whether you are negotiating with, among others, a customer or client, a boss or government official, or even setting a teenager's curfew or getting a last seat on an airplane, this invaluable guide will help you read the other side and bring the power of human psychology and a time-tested process to the negotiating table. …”

“…This book is a problem-solution primer for using R to set up your data, pose your problems and get answers using a wide array of statistical tests. The book walks you through R basics and how to use R to accomplish a wide variety statistical operations. …”

Tabla de Contenidos: “…""2.1.2 2.5G technology: general packet radio service""""2.1.3 EDGE""; ""2.2 3G mobile technologies""; ""2.2.1 UMTS""; ""2.2.2 High speed downlink packet access""; ""2.2.3 High speed uplink packet access""; ""2.2.4 HSPA""; ""2.2.5 HSPA+""; ""2.2.6 LTE and LTE-A technologies""; ""3 LTE""; ""3.1 E-UTRAN""; ""3.2 Evolved packet core""; ""3.2.1 Serving gateway""; ""3.2.2 Packet data network gateway""; ""3.2.3 Mobility management entity""; ""3.2.4 Home subscriber server""; ""3.2.5 Policy and charging rules function""; ""3.3 LTE radio protocol architecture""; ""3.3.1 Physical layer""…”

“…This new fourth edition has been updated to cover the Raspberry Pi 3 board and software, with detailed discussion on its wide array of configurations, languages, and applications. …”

“…t Run a Machine This Way explores an array of ways we?ve made work downright inhuman - in a way that, ironically, actually stifles the growth and profitability of organizations. …”

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Tabla de Contenidos: “…6.1.1 Speed tuning6.1.2 Contrast dependence; 6.1.3 Spatial frequency tuning; 6.1.4 Orientation tuning; 6.2 Intersection-of-constraints Solution; 6.3 Flow Field Estimation; 6.4 Device Mismatch; 6.4.1 Gradient offsets; 6.4.2 Variations across the array; 6.5 Processing Speed; 6.6 Applications; 6.6.1 Sensor modules for robotic applications; 6.6.2 Human-machine interface; 7 Extended Network Implementations; 7.1 Motion Segmentation Chip; 7.1.1 Schematics of the motion segmentation pixel; 7.1.2 Experiments and results; 7.2 Motion Selection Chip; 7.2.1 Pixel schematics…”