Tabla de Contenidos: “…Order the supporting reasons by priority -- Inductive arguments can be used to rationalize pros and cons -- The methods can be combined to build the framework of a story -- Case study: SmartStream -- Building a story for the SmartStream case -- The story blueprint plays an important role -- In some cases, an inductive argument can be used as the key argument -- Presenting the story verbally, in a conversation or meeting -- Conclusion first or conclusion last? …”

Tabla de Contenidos: “…. -- There's more... -- Chapter 11: Conversion Library -- Technical requirements -- Converting data -- How to do it... -- How it works... -- There's more... -- Converting images -- How to do it... -- How it works... -- There's more... -- Converting videos -- How to do it... -- How it works... -- There's more... -- Converting currency -- How to do it... -- How it works... -- There's more... -- Chapter 12: Accessing Databases with SQL Driver and Qt -- Technical requirements -- Setting up a database -- How to do it... -- How it works... -- Connecting to a database -- How to do it... -- How it works... -- Writing basic SQL queries -- How to do it... -- How it works... -- Creating a login screen with Qt -- How to do it... -- How it works... -- Displaying information from a database in model view -- How to do it... -- How it works...…”

Tabla de Contenidos: “…5.1 Background -- 5.2 Introduction -- 5.3 Energy Outlook for India -- 5.4 Power Demand and Resources in India -- 5.5 Energy and Environment -- 5.6 Sustainable Development Goals (SDGs) for Indian Electricity Sector -- 5.7 Results -- 5.8 Conclusions -- References -- Chapter 6 Solar Energy from the Urban Areas: A New Direction Towards Indian Power Sector -- 6.1 Introduction -- 6.2 Renewable Energy Chain in India -- 6.3 Development of Solar Photovoltaic and Solar Thermal Plants -- 6.4 Solar Photovoltaic Market in India -- 6.5 Need for Solar Energy -- 6.6 Government Initiatives -- 6.7 Challenges for Solar Thermal Systems -- 6.8 Benefits of Solar PV -- 6.9 Causes of Delay in Solar PV Implementation and Ways to Quicken the Rate of Installation -- 6.10 Future Trends of Solar PV -- 6.11 Conclusion -- References -- Other Works Consulted -- Chapter 7 Energy Management Strategies of a Microgrid: Review, Challenges, Opportunities, Future Scope -- 7.1 Introduction -- 7.2 Methodology -- 7.2.1 Research Studies Selection Criteria -- 7.2.2 Section of Literature -- 7.2.3 Testing Criteria -- 7.2.4 Extraction of Data -- 7.2.5 Findings -- 7.3 Preliminary -- 7.3.1 Fuzzy Logic-Based Management Strategies -- 7.3.2 AI-Based Management Strategies -- 7.3.3 Other Management Strategies -- 7.4 Challenges of Energy Management in Microgrids -- 7.5 Opportunities -- 7.6 Future Research Direction -- 7.7 Conclusion -- References -- Chapter 8 Urban Solid Waste Management for Energy Generation -- 8.1 Introduction -- 8.1.1 Background -- 8.1.2 Study Focus -- 8.2 Literature Review -- 8.3 Methodology -- 8.3.1 Formulating Research Background -- 8.3.2 Literature Review -- 8.3.3 Analysis -- 8.4 Case Study -- 8.4.1 Precedent Success -- 8.4.2 Precedent Failure -- 8.4.3 The Takeaway from Case Studies -- 8.5 Research Findings: Challenges of Waste-to-Energy Conversion…”

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: “…-- Capabilities -- Engaging in Human-Like Conversations -- Following Instructions -- Running Code -- Real-Time Web Browsing -- Language Understanding -- Context Awareness -- Specialized Knowledge -- Creativity and Flexibility -- Real-Time Adaptability -- Ethical and Safe Interactions -- Multilingual Support -- Fine-Tuning for Customization -- Limitations -- Lack of Deep Understanding -- Short-Term Memory -- Sensitivity to Input Phrasing -- Ethical and Safety Concerns -- Computational Costs -- Data Privacy -- Multilingual Limitations -- Dependence on Training Data -- Inability to Learn During Interaction -- Hallucinations -- What Is a Prompt? …”

Tabla de Contenidos: “…Creating a class that has orderable objects -- Deleting from a list of complicated objects -- Chapter 9: Functional Programming Features -- Writing generator functions with the yield statement -- Applying transformations to a collection -- Using stacked generator expressions -- Picking a subset - three ways to filter -- Summarizing a collection - how to reduce -- Combining the map and reduce transformations -- Implementing ``there exists'' processing -- Creating a partial function -- Writing recursive generator functions with the yield from statement -- Chapter 10: Working with Type Matching and Annotations -- Designing with type hints -- Using the built-in type matching functions -- Using the match statement -- Handling type conversions -- Implementing more strict type checks with Pydantic -- Including run-time valid value checks -- Chapter 11: Input/Output, Physical Format, and Logical Layout -- Using pathlib to work with filenames -- Replacing a file while preserving the previous version -- Reading delimited files with the CSV module -- Using dataclasses to simplify working with CSV files -- Reading complex formats using regular expressions -- Reading JSON and YAML documents -- Reading XML documents -- Reading HTML documents -- Chapter 12: Graphics and Visualization with Jupyter Lab -- Starting a Notebook and creating cells with Python code -- Ingesting data into a notebook -- Using pyplot to create a scatter plot -- Using axes directly to create a scatter plot -- Adding details to markdown cells -- Including Unit Test Cases in a Notebook -- Chapter 13: Application Integration: Configuration -- Finding configuration files -- Using TOML for configuration files -- Using Python for configuration files -- Using a class as a namespace for configuration -- Designing scripts for composition -- Using logging for control and audit output…”

Tabla de Contenidos: “…Premières années -- "Au temps où les bêtes parlaient" -- "Une sorte de hurlement que pousse le chacal" -- Heureux comme Dieu en France -- Le bal des spectres -- La débâcle -- Les rituels de passage -- Paris désert -- Découverte de Jean-Paul Sartre -- Deux années folles -- Voyage en Allemagne -- L'exposition de 1947 -- L'histoire de Tobie et de Sara -- Situation de René Girard en 1947 -- Une ambiance euphorique -- "L'époque des mystifications" -- Découverte de l'Amérique -- "1nstructor in French" -- "Une nouvelle girl-friend" -- Le héros du 18 Juin -- Deux nations en miroir -- Le "pétainisme américain" -- Le tournant du procès de Riom -- Une tragédie française -- Les jumeaux de Casablanca -- La légitimité du général de Gaulle -- Les sorcières de Salem -- "Rien n'a plus de sens" -- Le retour de la drôle de guerre -- De bien ennuyeuses provinces -- Soleil et Lune -- Au miroir de l'amitié -- De l'autre côté de l'océan -- "Le temps des longues études et des lectures appliquées" -- Une Amérique "assez sympathique" -- Du secret au sacré -- Un "art de l'allusion" -- Un premier diptyque -- Le rire de Dieu -- Rire et philosophie : des "conversions manquées" -- Le grand écrivain comique -- "Rira bien qui rira le dernier" -- "Le point de vue du sacré" -- "Premiers ébranlements" -- "Les vues grandes et éloignées de Madame de Clèves" -- Mort et résurrection du personnage -- Un "jansénisme moderne" -- "Mme Bovary, c'est moi !" …”

Tabla de Contenidos: “…Cover -- Title -- Copyright -- Contents -- Preface -- Acknowledgements -- Chapter 1 Electrical and electronic principles -- 1.1 Safe working practices -- 1.1.1 Introduction -- 1.1.2 Risk assessment and reduction -- 1.2 Basic electrical principles -- 1.2.1 Introduction -- 1.2.2 Electron flow and conventional flow -- 1.2.3 Effects of current flow -- 1.2.4 Fundamental quantities -- 1.2.5 Describing electrical circuits -- 1.2.6 Conductors, insulators and semiconductors -- 1.2.7 Factors affecting the resistance of a conductor -- 1.2.8 Resistors and circuit networks -- 1.2.9 Magnetism and electromagnetism -- 1.2.10 Electromagnetic induction -- 1.2.11 Mutual induction -- 1.2.12 Definitions and laws -- 1.3 Electronic components and circuits -- 1.3.1 Introduction -- 1.3.2 Components -- 1.3.3 Integrated circuits -- 1.3.4 Amplifiers -- 1.3.5 Bridge circuits -- 1.3.6 Schmitt trigger -- 1.3.7 Timers -- 1.3.8 Filters -- 1.3.9 Darlington pair -- 1.3.10 Stepper motor driver -- 1.3.11 Digital-to-analogue conversion -- 1.3.12 Analogue-to-digital conversion -- 1.4 Digital electronics -- 1.4.1 Introduction to digital circuits -- 1.4.2 Logic gates -- 1.4.3 Combinational logic -- 1.4.4 Sequential logic -- 1.4.5 Timers and counters -- 1.4.6 Memory circuits -- 1.4.7 Clock or astable circuits -- 1.5 Microprocessor systems -- 1.5.1 Introduction -- 1.5.2 Ports -- 1.5.3 Central processing unit (CPU) -- 1.5.4 Memory -- 1.5.5 Buses -- 1.5.6 Fetch-execute sequence -- 1.5.7 A typical microprocessor -- 1.5.8 Microcontrollers -- 1.5.9 Testing microcontroller systems -- 1.5.10 Programming -- 1.6 Measurement -- 1.6.1 What is measurement? …”

Tabla de Contenidos: “…11.3.2 Rheumatoid Arthritis -- 11.3.2.1 Radiographic Appearances -- 11.3.2.2 Advanced Imaging -- 11.3.3 Spondyloarthritides -- 11.3.3.1 Radiographic Appearances -- 11.3.3.2 Advanced Imaging -- 11.3.3.3 Sacroiliitis -- 11.3.3.4 Spinal Involvement in Spondyloarthritis -- 11.3.4 Metabolic Joint Disease -- 11.3.4.1 Gout -- Radiographic Appearances -- Advanced Imaging -- 11.3.4.2 Calcium Pyrophosphate Deposition Disease -- Radiographic Appearances -- Advanced Imaging -- 11.4 Concluding Remarks -- References -- 12: Metabolic-Endocrine -- 12.1 Introduction -- 12.2 Metabolic Marrow Disorders -- 12.2.1 Structure, Function, and Development of Bone Marrow -- 12.2.1.1 Normal Development of Bone Marrow -- 12.2.1.2 Red to Yellow Marrow Conversion -- 12.2.1.3 Reconversion of Yellow to Red Marrow -- 12.2.2 Magnetic Resonance Imaging of Bone Marrow -- 12.2.2.1 Anatomic Imaging -- 12.2.2.2 Chemical Shift Imaging -- 12.2.2.3 Proton MR Spectroscopy -- 12.2.3 Bone Marrow Changes in Athletes -- 12.2.3.1 Female Athlete Triad -- 12.2.4 Bone Marrow Changes in Eating Disorders -- 12.3 Metabolic Bone Disorders -- 12.3.1 Structure, Function, and Development of Bone -- 12.3.2 Osteoporosis -- 12.3.3 Rickets and Osteomalacia -- 12.3.4 Renal Osteodystrophy and Hyperparathyroidism -- 12.3.5 Insufficiency Fractures -- 12.3.5.1 Vertebral Insufficiency Fractures -- 12.3.5.2 Pelvic Bone Insufficiency Fractures -- 12.3.5.3 Femoral and Tibial Insufficiency Fractures -- 12.3.5.4 Subchondral Insufficiency Fractures -- 12.3.6 Complications of Insufficiency Fractures -- 12.3.6.1 Displacement of Insufficiency Fractures -- 12.3.6.2 Delayed Union and Nonunion -- 12.4 Concluding Remarks -- References -- 13: Spine Trauma -- 13.1 Craniocervical Junction (CCJ) -- 13.2 Mid to Lower Cervical -- 13.3 Upper Thoracic -- 13.4 Thoracolumbar…”

Tabla de Contenidos: “…13.3 An Illustrative Example on Ergonomic Design Evaluation -- 13.4 Conclusions -- References -- Chapter 14 Optimization of Energy Generated from Ocean Wave Energy Using Fuzzy Logic -- 14.1 Introduction -- 14.2 Control Approach in Wave Energy Systems -- 14.3 Related Work -- 14.4 Mathematical Modeling for Energy Conversion from Ocean Waves -- 14.5 Proposed Methodology -- 14.5.1 Wave Parameters -- 14.5.2 Fuzzy-Optimizer -- 14.6 Conclusion -- References -- Chapter 15 The m-Polar Fuzzy TOPSIS Method for NTM Selection -- 15.1 Introduction -- 15.2 Literature Review -- 15.3 Methodology -- 15.3.1 Steps of the mFS TOPSIS -- 15.4 Case Study -- 15.4.1 Effect of Analytical Hierarchy Process (AHP) Weight Calculation on the mFS TOPSIS Method -- 15.4.2 Effect of Shannon's Entropy Weight Calculation on the m-Polar Fuzzy Set TOPSIS Method -- 15.5 Results and Discussions -- 15.5.1 Result Validation -- 15.6 Conclusions and Future Scope -- References -- Chapter 16 Comparative Analysis on Material Handling Device Selection Using Hybrid FMCDM Methodology -- 16.1 Introduction -- 16.2 MCDM Techniques -- 16.2.1 FAHP -- 16.2.2 Entropy Method as Weights (Influence) Evaluation Technique -- 16.3 The Proposed Hybrid and Super Hybrid FMCDM Approaches -- 16.3.1 TOPSIS -- 16.3.2 FMOORA Method -- 16.3.3 FVIKOR -- 16.3.4 Fuzzy Grey Theory (FGT) -- 16.3.5 COPRAS -G -- 16.3.6 Super Hybrid Algorithm -- 16.4 Illustrative Example -- 16.5 Results and Discussions -- 16.5.1 FTOPSIS -- 16.5.2 FMOORA -- 16.5.3 FVIKOR -- 16.5.4 Fuzzy Grey Theory (FGT) -- 16.5.5 COPRAS-G -- 16.5.6 Super Hybrid Approach (SHA) -- 16.6 Conclusions -- References -- Chapter 17 Fuzzy MCDM on CCPM for Decision Making: A Case Study -- 17.1 Introduction -- 17.2 Literature Review -- 17.3 Objective of Research -- 17.4 Cluster Analysis -- 17.4.1 Hierarchical Clustering -- 17.4.2 Partitional Clustering -- 17.5 Clustering…”

Tabla de Contenidos: “…16.2 Implementing a CNN -- 16.2.1 Implementing a CNN as a single-step model -- 16.2.2 Implementing a CNN as a multi-step model -- 16.2.3 Implementing a CNN as a multi-output model -- 16.3 Next steps -- 16.4 Exercises -- Summary -- 17 Using predictions to make more predictions -- 17.1 Examining the ARLSTM architecture -- 17.2 Building an autoregressive LSTM model -- 17.3 Next steps -- 17.4 Exercises -- Summary -- 18 Capstone: Forecasting the electric power consumption of a household -- 18.1 Understanding the capstone project -- 18.1.1 Objective of this capstone project -- 18.2 Data wrangling and preprocessing -- 18.2.1 Dealing with missing data -- 18.2.2 Data conversion -- 18.2.3 Data resampling -- 18.3 Feature engineering -- 18.3.1 Removing unnecessary columns -- 18.3.2 Identifying the seasonal period -- 18.3.3 Splitting and scaling the data -- 18.4 Preparing for modeling with deep learning -- 18.4.1 Initial setup -- 18.4.2 Defining the DataWindow class -- 18.4.3 Utility function to train our models -- 18.5 Modeling with deep learning -- 18.5.1 Baseline models -- 18.5.2 Linear model -- 18.5.3 Deep neural network -- 18.5.4 Long short-term memory (LSTM) model -- 18.5.5 Convolutional neural network (CNN) -- 18.5.6 Combining a CNN with an LSTM -- 18.5.7 The autoregressive LSTM model -- 18.5.8 Selecting the best model -- 18.6 Next steps -- Part 4. …”

Tabla de Contenidos: “…7.2.6 Prismatic Slip during PVT growth 4H‐SiC Boules -- 7.2.7 Relationship Between Local Basal Plane Bending and Basal Plane Dislocations in PVT‐grown 4H‐SiC Substrate Wafers -- 7.2.8 Investigation of Dislocation Behavior at the Early Stage of PVT‐grown 4H‐SiC Crystals -- 7.3 Dislocations in Homoepitaxial 4H‐SiC -- 7.3.1 Conversion of BPDs into TEDs -- 7.3.2 Susceptibility of Basal Plane Dislocations to the Recombination‐Enhanced Dislocation Glide in 4H Silicon Carbide -- 7.3.3 Nucleation of TEDs, BPDs, and TSDs at Substrate Surface Damage -- 7.3.4 Nucleation Mechanism of Dislocation Half‐Loop Arrays in 4H‐SiC Homo‐Epitaxial Layers -- 7.3.5 V‐ and Y‐shaped Frank‐type Stacking Faults -- 7.4 Summary -- Acknowledgments -- References -- Chapter 8 Novel Theoretical Approaches for Understanding and Predicting Dislocation Evolution and Propagation -- 8.1 Introduction -- 8.2 General Modeling and Simulation Approaches -- 8.3 Continuum Dislocation Modeling Approaches -- 8.3.1 Alexander-Haasen Model -- 8.3.2 Continuum Dislocation Dynamics Models -- 8.3.2.1 The Simplest Model: Straight Parallel Dislocation with the Same Line Direction -- 8.3.2.2 The "Groma" Model: Straight Parallel Dislocations with Two Line Directions -- 8.3.2.3 The Kröner-Nye Model for Geometrically Necessary Dislocations -- 8.3.2.4 Three‐dimensional Continuum Dislocation Dynamics (CDD) -- 8.4 Example 1: Comparison of the Alexander-Haasen and the Groma Model -- 8.4.1 Governing Equations -- 8.4.2 Physical System and Model Setup -- 8.4.3 Results and Discussion -- 8.5 Example 2: Dislocation Flow Between Veins -- 8.5.1 A Brief Introduction to Dislocation Patterning and the Similitude Principle -- 8.5.2 Physical System and Model Setup -- 8.5.3 Geometry and Initial Values -- 8.5.4 Results and Discussion -- 8.6 Summary and Conclusion -- References…”

Tabla de Contenidos: “…9.7 Binary Tree Traversals -- 9.7.1 Inorder Traversal (LVR) -- 9.7.2 Preorder Traversal (VLR) -- 9.7.3 Postorder Traversal (LRV) -- 9.7.4 Level-order Traversal -- 9.8 Conversion of a Tree into a Binary Tree -- 9.9 Threaded Binary Trees -- 9.9.1 Linked Representation of a Threaded Binary Tree -- 9.10 Applications of Binary Trees -- 9.10.1 Traversal of an Expression Tree -- 9.10.2 Operations on Expression Trees -- 9.11 ADT of Binary Tree -- Summary -- Exercises -- Chapter 10 Graphs -- 10.1 Introduction -- 10.2 Basic Terminology -- 10.3 Representation of Graphs -- 10.3.1 Sequential Representation of Graphs -- 10.3.2 Linked Representation of Graphs -- 10.4 Operations on Graphs -- 10.5 Graph Traversals -- 10.5.1 Breadth First Traversal -- 10.5.2 Depth First Traversal -- 10.6 Applications -- 10.7 Graph ADT -- Summary -- Exercises -- Chapter 11 Priority Queues -- 11.1 Introduction -- 11.2 Priority Queue ADT -- 11.3 Priority Queue Implementation Using Heaps -- 11.3.1 Priority Queue Interface -- 11.3.2 Min Heap-Insertion -- 11.3.3 Min Heap-Deletion -- 11.3.4 Max Heap-Insertion -- 11.3.5 Max Heap-Deletion -- 11.4 Applications -- 11.4.1 Job Scheduling -- 11.5 External Sorting -- 11.5.1 Polyphase Merge -- 11.5.2 Multiway Merge -- Summary -- Exercises -- Chapter 12 Binary Search Trees and AVL Trees -- 12.1 Binary Search Trees -- 12.2 Representation of a Binary Search Tree -- 12.3 Operations on Binary Search Trees -- 12.3.1 Searching -- 12.3.2 Insertion -- 12.3.3 Deletion -- 12.3.4 Disadvantages of Binary Search Tree -- 12.4 AVL Trees -- 12.5 Operation of AVL Search Trees -- 12.5.1 Searching -- 12.5.2 Insertion -- 12.5.3 Deletion -- 12.6 Applications -- Summary -- Exercises -- Chapter 13 Multiway Trees and B Trees -- 13.1 Introduction -- 13.2 Representation of a Node Structure -- 13.3 Operations on m-Way Search Trees -- 13.3.1 Searching -- 13.3.2 Insertion…”

Tabla de Contenidos: “…4.2.2.2 Problem response and resolution time -- 4.2.2.3 Scalability -- 4.2.2.4 Utilization -- 4.2.2.5 Latency and throughput -- 4.2.3 Data Center Resource Celling -- 4.3 Data Center Space -- 4.3.1 Five Types of Space -- 4.3.1.1 Total space (building shell) -- 4.3.1.2 Total adjacent lot size (raw lot size) -- 4.3.1.3 Whitespace (raised floor) -- 4.3.1.4 Effective usable space (rack space) -- 4.3.1.5 General space -- 4.3.2 Data Center Functional Rooms -- 4.3.2.1 Utility support functions -- 4.3.2.1.1 Mechanical rooms -- 4.3.2.1.2 Electrical rooms -- 4.3.2.1.3 Staging area -- 4.3.2.2 Computing functions -- 4.3.2.2.1 Entrance rooms -- 4.3.2.2.2 Computer rooms -- 4.3.2.2.3 Telecommunication rooms -- 4.3.2.3 Operational functions -- 4.3.2.3.1 Network operation rooms -- 4.3.2.3.2 Common area -- 4.3.2.3.3 General office space -- 4.4 How to Estimate Cost of Space -- 4.5 Summary -- 4.6 Review Questions -- 5 Data Center Power -- 5.1 Introduction -- 5.2 Fundamentals of Power -- 5.2.1 Three Basic Power Metrics -- 5.2.2 Power Factor for AC Power -- 5.3 Power Panel (Circuit Breaker) -- 5.3.1 Type of Circuit Breaker and Selection -- 5.3.2 Circuit Breaker Coordination -- 5.4 Transfer Switches and Generators -- 5.4.1 Static Transfer Switch (STS) -- 5.4.2 Automatic transfer switch (ATS) -- 5.4.3 Generator -- 5.5 Uninterruptible Power Supply (UPS) -- 5.5.1 Different Types of UPS Topologies -- 5.5.1.1 Standby or offline single UPS topology -- 5.5.1.2 Line interactive UPS topology -- 5.5.1.3 Online double conversion -- 5.5.1.4 Delta conversion topology -- 5.5.1.5 Rotary UPS topology -- 5.6 How to Select UPS Topologies -- 5.6.1 UPS Redundancy and Cost Efficiency -- 5.6.1.1 Configuration of UPS redundancy -- 5.6.1.2 Single module system (SMS) -- 5.6.1.3 1+1 redundancy or two module system -- 5.6.1.4 N+1 redundancy -- 5.6.1.5 2(N+1) redundancy…”

Tabla de Contenidos: “…Regulación de la ruta tyn de Conversión de la- tiramina; en 4-OH-PhAc - Gen tynC 4.1.1.4. …”
Enlace del recurso

Tabla de Contenidos: “…SEÑALES DESPUÉS DE LA MUERTE -- XVIII. CONVERSIÓN DEL CENTURIÓN Y DE OTROS -- XIX. ES ABIERTO SU PECHO CON LA LANZA -- EPÍLOGO DE TODA LA PASIÓN…”

Tabla de Contenidos: “…-- Seeing What Learning Go Can Do for You -- Installing Go on Your Machine -- macOS -- Windows -- Using an Integrated Development Environment with Go -- Writing Your First Go Program -- Compiling and running the program -- Understanding how a Go program works -- Making sense of the Go file structure -- Compiling for multiple operating systems -- Comparing Go with Other Languages -- Syntax -- Compilation -- Concurrency -- Library support -- Chapter 2 Working with Different Data Types -- Declaring Always-Changing Variables -- Using the var keyword: Type-inferred variables -- Specifying the data type: Explicitly typed variables -- Using the short variable declaration operator -- Declaring Never-Changing Constants -- Removing Unused Variables -- Dealing with Strings -- Performing Type Conversions -- Discovering the type of a variable -- Converting a variable's type -- Interpolating strings -- Chapter 3 Making Decisions -- Using If/Else Statements to Make Decisions -- Laying the foundation for the if/else statement: Logical and comparison operators -- Using the if/else statement -- Short-circuiting: Evaluating conditions in Go -- When You Have Too Many Conditions: Using the Switch Statement -- Switching with fall-throughs -- Matching multiple cases -- Switching without condition -- Chapter 4 Over and Over and Over: Using Loops -- Performing Loops Using the for Statement -- Iterating over a Range of Values -- Iterating through arrays/slices -- Iterating through a string -- Using Labels with the for Loop -- Chapter 5 Grouping Code into Functions -- Defining a Function -- Defining functions with parameters…”

Tabla de Contenidos: “…-- Ten Ways to Keep Your Employees Motivated to Participate in Content Marketing -- Chapter 43 "I've Been Told If We're Not Adding Anything New to the Conversation, Then We Shouldn't Be Talking about It" -- Chapter 44 A Revolutionary Marketing Strategy -- Index -- EULA…”

Tabla de Contenidos: “…Configuring an Azure function as a serverless architecture model integrated with Stream Analytics job output -- Summary -- Chapter 9: Optimizing Intelligence in Azure Streaming -- Integration of JavaScript user-defined functions using Azure Stream Analytics -- Adding JavaScript UDF with a Stream Analytics job -- Stream Analytics and JavaScript data type conversions -- Integrating intelligent Azure machine learning algorithms with Stream Analytics function -- Data pipeline Streaming application building concepts using Azure .NET Management SDK -- Implementation steps of Azure Stream Analytics jobs using .NET management SDK -- Summary -- Chapter 10: Understanding Stream Analytics Job Monitoring -- Troubleshooting with job metrics -- Visual monitoring of job diagram -- Logging of diagnostics logs -- Enabling diagnostics logs -- Exploring the logs sent to the storage account -- Configuring job alerts -- Viewing resource health information with Azure resource health -- Exploring different monitoring experiences -- Building a monitoring dashboard -- Summary -- Chapter 11: Use Cases for Real-World Data Streaming Architectures -- Solution architecture design and Proof-of-Concept implementation of social media sentiment analytics using Twitter and a sentiment analytics dashboard -- Definition of sentiment analytics -- Prerequisites required for the implementation of Twitter sentiment analytics PoC -- Steps for implementation of Twitter sentiment analytics -- Remote monitoring analytics using Azure IoT Suite -- Provisioning of remote device monitoring analytics using Azure IoT Suite -- Implementation of a connected factory use case using Azure IoT Suite -- Connected factory solution with Azure IoT Suite -- Real-world telecom fraud detection analytics using Azure Stream Analytics and Cortana Intelligence Gallery with interactive visuals from Microsoft Power BI…”

Tabla de Contenidos: “…-- Chapter 12: Pillar II: Developing Leader Coaches -- Coaching -- What Is a Coaching Leader? -- Better Conversations -- Develop Strengths -- Emotional Skills -- Self-Actualization -- Empathy -- Kick It up a Notch -- Watching a Pro -- Interpersonal Relationships -- Balance Recognition with Constructive Feedback -- Take the Extra Step -- Assertiveness -- Knowing Where You Stand -- Crossing the Aggression Line -- Emotional Self-Awareness -- Example of Coaching Leadership -- Chapter 13: Pillar III: Developing Insight -- Insight -- Discovering Your Purpose -- Communicating the Purpose -- What Is an Insightful Leader? …”