Materias:

“…Operations research/computer science interfaces series ; ORCS 36.…”

Tabla de Contenidos: “…INNOVACIONES DERIVADAS DE LA INCORPORACION DE LAS TIC A LA ORC -- 3. COMO ENTENDER LOS CAMBIOS QUE ESTAN SUCEDIENDO EN MATERIA DE ORC? …”

Tabla de Contenidos: “…Mari-Morp -- v. 14. Morr-Orc -- v. 15. Ord-Pin -- v. 16. Pio-Rae -- v. 17. …”

Tabla de Contenidos: “…Mega -- The Bulk -- The Red Wraith -- Lady Electric -- Manga &amp -- More -- The World of Manga -- Tools &amp -- Materials -- Character Development -- Shading -- Drawing Heads -- Drawing Hair -- Facial Expressions -- Our Hero -- Schoolgirl -- Photoshop Tutorial -- Chiharu -- Zaim -- Villainess -- Happy Heroine -- Comic Relief -- Character Interaction -- Science Fiction &amp -- Visions of the Future -- Space Hero -- Alien Heroine -- Gray Alien -- Starfighter Pilot -- Mad Scientist -- Brain in a Jar -- Space Sword Mystic -- Android -- Robot Attack Pod -- Cthulhu -- Fascinating Fantasy -- Werewolf -- Vampire -- Hydra -- Cyclops -- Centaur -- Troll -- Orc -- Swordsman -- Blacksmith -- Archer -- King of the Dwarves -- Black Knight -- Cursed Warrior -- Index -- Copyright…”

Tabla de Contenidos: “…George: English -- Ladon: Greek -- Azhi Dahaka: Persian -- Sui-Riu: Japanese -- T'ien Lung: Chinese -- Hydrus: Egyptian -- Mythological Beasts -- Sphinx: Greek -- Cerberus: Greek -- Grendel: Anglo-Saxon -- Minotaur: Greek -- Centaur: Greek -- Satyr: Greek -- Cyclops: Greek -- Siren: Greek -- Harpy: Greek -- Gorgon: Greek -- Pegasus: Greek -- Fantasy Creatures -- Leprechaun -- Troll -- Ogre -- Ettin -- Orc -- Gnome -- Goblin -- Hobgoblin -- Gremlin -- Gargoyle -- Manticore -- Phoenix -- Griffin -- Kraken -- Unicorn -- Pixie -- Fairy -- About the Author -- Copyright…”

Tabla de Contenidos: “…Leprechaun -- Banshee -- Troll -- Ogre -- Ettin -- Orc -- Gnome -- Goblin -- Hobgoblin -- Gremlin -- Gargoyle -- Manticore -- Phoenix -- Griffin -- Kraken -- Unicorn -- Pixie -- Fairy -- Index…”

Tabla de Contenidos: “…. -- v.XXIII : MOL-NÈV. -- v.XXIV : NEZ-ORC. -- v.XXV : ORE-PAP. -- v.XXVII : PESS-PIG. -- v.XXVIII : PIL-POI. -- v.XXIX : POL-PRO. -- v.XXX : PS-REI. -- v.XXXI : REI-ROT. -- v.XXXII : ROU-SCR. -- v.XXXIII : SE-ST. -- v.XXXIV : SU-SY. -- v.XXXV : TA-TO. -- v.XXXVI : TR-TYPHO. -- v.XXXVII : TYP-UTÉR. -- v.XXXVIII : VAC-VEI. -- v.XXXIX : VEN-ZO. -- v.XL : ZYN…”

Tabla de Contenidos: “…Map Reduce program to partition data using a custom partitionerWriting Map Reduce results to multiple output files; Performing Reduce side Joins using Map Reduce; Unit testing the Map Reduce code using MRUnit; Introduction; Storing and processing Hive data in a sequential file format; Storing and processing Hive data in the ORC file format; Storing and processing Hive data in the ORC file format; Storing and processing Hive data in the Parquet file format; Performing FILTER By queries in Pig; Performing Group By queries in Pig; Performing Order By queries in Pig; Performing JOINS in Pig…”

Tabla de Contenidos: “…Jóvenes, familias y tensiones generacionales. una lectura desde la sociología de la educación. por Victoria Orce 7. Cuando la escuela es noticia en los diarios. la criminalización mediática. por Virginia Saez, Natalia Adduci y Sebastián Urquiza ; 8. …”

Tabla de Contenidos: “…-- A brief history of the genre -- Characteristics of an RPG -- Story and setting -- A glimpse of a cRPG story -- Exploration and quests -- A glimpse at our exploration and quests -- Inventory system -- Character attributes and actions -- Experience and leveling -- Combat system -- User interaction and graphics -- Existing or upcoming RPG games -- MU Legend -- Titan Siege -- Citadel: Forged with Fire -- Cyberpunk 2077 -- Patterns in RPG -- Terminology -- Contest tree -- Last Man Standing -- Negotiated Contest -- Summary -- Chapter 2: Planning the Game -- Building our RPG -- The story of the Zazar dynasty -- Backstory -- Exploration and quests -- Awakening -- The village -- Broken forest - the horizon -- The kingdom -- Asset inventory -- Environment assets -- Medieval Environment Pack -- Terrain Toolkit 2017 -- Nature Starter Kit 2 -- Character assets -- Barbarians -- Orcs -- Villagers -- Free Assets -- Level design -- Setting the stage -- Terrain toolkit in a nutshell -- The Awakening -- Using the terrain model -- Using a custom toolkit -- Skybox -- Testing the level -- Creating the main menu -- Creating the GameMaster script -- Summary -- Chapter 3: RPG Character Design -- Character definitions -- Character assets -- Base character class attributes -- Character states -- Character model -- Default character models -- Barbarian -- Villager -- Orc -- Let's get started -- Rigging your model -- Character motion -- Animator Controller -- Animation states -- Character controller -- Modification to animations -- Inverse Kinematics -- Setting the animation curve -- Summary -- Chapter 4: The Game Mechanics -- Customizing the player character -- Customizable parts -- User interface…”

Tabla de Contenidos: “…Burge -- Are religious adherents more likely to buy into COVID-19 conspiracy theories? / Diana Orcés, Ian Huff, and Natalie Jackson -- Religion and gun purchasing amid a pandemic, civil unrest, and an election / Abigail Vegter and Donald Haider-Markel -- Christian nationalism and the COVID-19 Pandemic / Andrew L. …”

Tabla de Contenidos: “…Ingestion from files -- 7.1 Common behaviors of parsers -- 7.2 Complex ingestion from CSV -- 7.2.1 Desired output -- 7.2.2 Code -- 7.3 Ingesting a CSV with a known schema -- 7.3.1 Desired output -- 7.3.2 Code -- 7.4 Ingesting a JSON file -- 7.4.1 Desired output -- 7.4.2 Code -- 7.5 Ingesting a multiline JSON file -- 7.5.1 Desired output -- 7.5.2 Code -- 7.6 Ingesting an XML file -- 7.6.1 Desired output -- 7.6.2 Code -- 7.7 Ingesting a text file -- 7.7.1 Desired output -- 7.7.2 Code -- 7.8 File formats for big data -- 7.8.1 The problem with traditional file formats -- 7.8.2 Avro is a schema-based serialization format -- 7.8.3 ORC is a columnar storage format -- 7.8.4 Parquet is also a columnar storage format -- 7.8.5 Comparing Avro, ORC, and Parquet -- 7.9 Ingesting Avro, ORC, and Parquet files -- 7.9.1 Ingesting Avro -- 7.9.2 Ingesting ORC -- 7.9.3 Ingesting Parquet -- 7.9.4 Reference table for ingesting Avro, ORC, or Parquet -- Summary -- 8. …”

Tabla de Contenidos: “…Meeting 50 Audit Status Memos 53 Remote Auditor Skills Profile 54 Beyond Audit Development Plan 59 Chapter 5: The Methodology - Objective Recognition 61 Improving the Audit Process 61 Beyond Audit - ORC Model 62 Identifying the Business Objective 66 Business Objective Identification Challenge 69 Business Objective Identification in a Remote Audit 70 Business Process Risks 73 Business Process Controls 75 Completing the Audit Planning 77 Chapter 6: Audit Fieldwork 79 Fieldwork Communication 82 Fieldwork Responsibilities 84 Workpaper Requirements 85 Beyond Audit - Baseline Workpaper Components 86 Sufficient Evidence 91 Workpaper Self-Review and Keys 93 Beyond Audit - Top 10 Keys to Managing Fieldwork 93 Chapter 7: The Methodology - Partner Results 101 Communicating Audit Results 101 Understanding…”

Tabla de Contenidos: “…Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: A Typical JavaScript Project; The core idea of domain-driven design; Managing an orc dungeon; Inside the dungeon; Managing incoming prisoners; The current state of the art; Digital dungeon management; Specification; Tracking available cells; Starting outgoing transfers; Tracking the state of incoming transfers; Initiating incoming transfers; From greenfield to application; The first route and model; Creating the model; The first route and loading the dungeon…”

Tabla de Contenidos: “…The usage of Algebraic UDFsThe usage of Accumulator UDFs; Eliminating nulls in the data; The usage of specialized joins; Compressing intermediate results; Combining smaller files; Summary; Chapter 4: Advanced Hive; The Hive architecture; The Hive metastore; The Hive compiler; The Hive execution engine; The supporting components of Hive; Data types; File formats; Compressed files; ORC files; The Parquet files; The data model; Dynamic partitions; Semantics for dynamic partitioning; Indexes on Hive tables; Hive query optimizers; Advanced DML; The GROUP BY operation…”

Tabla de Contenidos: “…The Comparable and WritableComparable interfacesStoring data; Serialization and Containers; Compression; General-purpose file formats; Column-oriented data formats; RCFile; ORC; Parquet; Avro; Using the Java API; Summary; Chapter 3: Processing - MapReduce and Beyond; MapReduce; Java API to MapReduce; The Mapper class; The Reducer class; The Driver class; Combiner; Partitioning; The optional partition function; Hadoop-provided mapper and reducer implementations; Sharing reference data; Writing MapReduce programs; Getting started; Running the examples; Local cluster; Elastic MapReduce…”

Tabla de Contenidos: “…; EL «CALDO PRIMITIVO»; CASI UN MILAGRO; EL PREJUICIO MATERIALISTA; NUEVAS HIPÓTESIS; HOYLE, DE NUEVO; UNA INTELIGENCIA ORDENADORA; A MÁS PROGRESO, MÁS ORDEN; CAPÍTULO III EL ORIGEN DEL HOMBRE; EL «HOMBRE DE ORCE» Y EL «HOMBRE DE ATAPUERCA»; LAS AVENTURAS DEL «HOMBRE DE PEKÍN»; LOS FÓSILES DESAPARECIDOS; LAS DIFICULTADES DE LA PALEOANTROPOLOGÍA; INCÓGNITAS; HOMINOIDEOS, HOMÍNIDOS Y HOMBRES; FRAGMENTOS DE POSIBLES ESLABONES; ¿ORIGEN AFRICANO ÚNICO O MODELO MULTIRREGIONAL?…”
Acceso restringido con credenciales UPSA

Tabla de Contenidos: “…Viewing columns of data -- Viewing summary statistics -- Collecting the data -- Using take -- Using tail -- Using head -- Counting the number of rows of data -- Converting a PySpark DataFrame to a Pandas DataFrame -- How to manipulate data on rows and columns -- Selecting columns -- Creating columns -- Dropping columns -- Updating columns -- Renaming columns -- Finding unique values in a column -- Changing the case of a column -- Filtering a DataFrame -- Logical operators in a DataFrame -- Using isin() -- Datatype conversions -- Dropping null values from a DataFrame -- Dropping duplicates from a DataFrame -- Using aggregates in a DataFrame -- Summary -- Sample question -- Answer -- Chapter 5: Advanced Operations and Optimizations in Spark -- Grouping data in Spark and different Spark joins -- Using groupBy in a DataFrame -- A complex groupBy statement -- Joining DataFrames in Spark -- Reading and writing data -- Reading and writing CSV files -- Reading and writing Parquet files -- Reading and writing ORC files -- Reading and writing Delta files -- Using SQL in Spark -- UDFs in Apache Spark -- What are UDFs? …”

Tabla de Contenidos: “…Intro -- Table of Contents -- About the Author -- About the Technical Reviewers -- Acknowledgments -- Introduction -- Chapter 1: Introduction to Apache Spark -- Overview -- History -- Spark Core Concepts and Architecture -- Spark Cluster and Resource Management System -- Spark Applications -- Spark Drivers and Executors -- Spark Unified Stack -- Spark Core -- Spark SQL -- Spark Structured Streaming -- Spark MLlib -- Spark GraphX -- SparkR -- Apache Spark 3.0 -- Adaptive Query Execution Framework -- Dynamic Partition Pruning (DPP) -- Accelerator-aware Scheduler -- Apache Spark Applications -- Spark Example Applications -- Apache Spark Ecosystem -- Delta Lake -- Koalas -- MLflow -- Summary -- Chapter 2: Working with Apache Spark -- Downloading and Installation -- Downloading Spark -- Installing Spark -- Spark Scala Shell -- Spark Python Shell -- Having Fun with the Spark Scala Shell -- Useful Spark Scala Shell Command and Tips -- Basic Interactions with Scala and Spark -- Basic Interactions with Scala -- Spark UI and Basic Interactions with Spark -- Spark UI -- Basic Interactions with Spark -- Introduction to Collaborative Notebooks -- Create a Cluster -- Create a Folder -- Create a Notebook -- Setting up Spark Source Code -- Summary -- Chapter 3: Spark SQL: Foundation -- Understanding RDD -- Introduction to the DataFrame API -- Creating a DataFrame -- Creating a DataFrame from RDD -- Creating a DataFrame from a Range of Numbers -- Creating a DataFrame from Data Sources -- Creating a DataFrame by Reading Text Files -- Creating a DataFrame by Reading CSV Files -- Creating a DataFrame by Reading JSON Files -- Creating a DataFrame by Reading Parquet Files -- Creating a DataFrame by Reading ORC Files -- Creating a DataFrame from JDBC -- Working with Structured Operations -- Working with Columns -- Working with Structured Transformations…”