Tabla de Contenidos: “…1.Introduction -- Hardware Support -- Detecting Hardware Differences -- GPS Availability -- Compass Availability -- Setting Required Hardware Capabilities -- Background Modes -- 2.Core Location -- The Standard Location Service -- Basic Usage -- Reporting the User's Position -- Adding a User Interface -- Significant Location Monitoring -- Continuous Location Monitoring -- Sending Your Location to a Database -- Region Monitoring -- Adding Region Monitoring -- Adding Local Notifications -- 3.Map Kit -- Adding a Map -- Annotating Maps -- Adding Overlays -- 4.Digital Compass -- About the Magnetometer -- Writing a Compass Application -- Determining the Heading in Landscape Mode -- 5.Geocoding -- Reverse Geocoding -- Using Alternative Reverse Geocoding Services -- Forward Geocoding -- Building an Example App -- CLPlacemark Objects -- Adding CLPlacemarks to Maps -- 6.Drawing Heat Maps -- Building an Earthquake Map -- Adding Earthquake Data -- Building the User Interface -- Adding the Overlay -- Adding the Heat Map -- Overlaying Other Data -- Overlaying Other Types of Images -- 7.Further Information and Third-Party SDKs -- Skyhook Wireless -- SpotRank -- Local Faves -- GeoLoqi -- MapBox -- Bing Maps Control for iOS -- ArcGIS for iOS -- Urban Airship…”

Tabla de Contenidos: “…1 Introduction -- 2 Compatibility of Policies & Social Capital -- 3 Implementability of SC-Compatible Policies -- 4 Ranking Approach and Social Planners’ MSMEs Policy Preferences -- 5 Financing Gap & Digitalization -- 6 Network and Size -- 7 Summary -- Appendix A: Summary Statistics -- Appendix B: Analytic Hierarchy Process -- Appendix C: Analytic Network Process -- Appendix D: Implementability and Monotonicity…”

Tabla de Contenidos: “…Intro -- Table of Contents -- About the Author -- About the Technical Reviewer -- Acknowledgments -- Introduction -- Chapter 1: Master Excel Through Projects -- Why Learn Through Projects -- Cell Reference and Formula -- Formula -- Cell Reference in Formulas -- Experiment -- Excel Options and Show Formulas -- Autofill or Copy -- Experiment 1 -- Experiment 2 -- Experiment 3 -- Functions to Learn -- SUM, AVERAGE, MAX, MIN, and COUNT -- CHAR and CODE -- MID -- RANDBETWEEN -- LOOKUP -- Experiment 1 -- Experiment 2 -- Experiment 3 -- IF -- IFERROR -- Autofill Formulas -- Relative Cell Reference -- Absolute Cell Reference -- Work on the Project -- Chapter Tip -- Review Points -- Chapter 2: Food Nutrition Ranking -- Functions to Learn -- IF -- ISBLANK -- AND, OR -- VLOOKUP -- Work on the Project -- Name Manager and Data Validation -- Instructions to Complete the Project -- Chapter Tip -- Review Points -- Chapter 3: Payroll Calculation -- Functions to Learn -- ROUND -- SUBSTITUTE -- INDEX -- MATCH -- Experiment 1 -- Experiment 2 -- Experiment 3 -- INDIRECT -- Work on Project 1 -- Federal Tax Withholding Explanation and Worksheet Setup -- Instructions to Complete Project 1 -- Work on Project 2 -- Table Setup and Naming -- Instructions to Complete Project 2 -- Chapter Tip -- Review Points -- Chapter 4: Public and Private Key Cryptography -- Functions to Learn -- CONCATENATE and the &amp -- Operator -- LEN and INT -- MOD and Its Use in Encryption -- QUOTIENT and GCD -- COUNTIF -- Knowledge to Learn -- Work on the Project -- Chapter Tip -- Review Points -- Chapter 5: Two-Way Table and Chi-Square Test -- Functions to Learn -- ISERROR -- ADDRESS -- Work on the Project -- Chapter Tip -- Review Points -- Chapter 6: Kaplan-Meier Analysis -- Functions to Learn -- MEDIAN -- COUNTIFS -- Work on the Project -- Chapter Tip -- Review Points…”

Tabla de Contenidos: “…Mobile View -- Desktop View -- Add a Card -- Web Link Card -- Assigned Tasks Card -- Teams App Card -- Shifts Card -- Approvals Card -- Top News Card -- Card Designer Card -- Section 1: Size and Layout -- Section 2: Card Content -- Section 3: Actions -- Section 4: Quick View Layout and Data -- Section 5: Audience Targeting -- Preview and Publish Dashboard -- Partner Solutions -- Access and Install the Partner Solutions -- Custom Development -- Employee Dashboard Example with Cards -- Employee Engagement -- Facilities -- IT Support -- Pay and Benefits -- Conclusion -- Chapter 7: Define Your Content Feeds -- Basics of Feeds -- User Experience for Feeds -- Mobile Experience -- Desktop Experience -- Sources of Content Feeds -- SharePoint -- Yammer -- Stream -- User Experience for a Content Refresh -- Content Ranking -- Chronology -- Content Promotion -- User Actions on Feed -- Role of Content Creator -- Feeds from SharePoint -- Organizational News Site -- Designate a SharePoint Site as an Organizational News Site -- Bring the News Experience to Users -- News Boost Feature -- Insights and Analysis -- Yammer -- Feature a Conversation -- Deploy the Communities App -- Insights and Analysis -- Active People -- Active Members and Nonmembers -- Content Insights -- Microsoft Stream (Built on SharePoint) -- Microsoft Stream (Classic) -- Microsoft Stream (Built on SharePoint) -- Migrating to Microsoft Stream (Built on SharePoint) -- Video News Links -- Step 1: Create a Sharing Link -- Step 2: Publish the Video as a News Item -- Conclusion -- Chapter 8: Enable Viva Connections in Microsoft Teams -- Understanding the Process -- Permissions -- Enable the Viva Connections App in the Teams Admin Center -- PowerShell for Desktop-Only Experience -- Prepare the Package with the CLI for Microsoft 365 -- Upload the Viva Connections Desktop Package in the Teams Admin Center…”

Tabla de Contenidos: “…Multicriteria Decision Making 3.1 Pugh Concept Selection Method 3.2 Analytic Hierarchy Process (AHP) 3.3 Multiattribute Utility Theory (MAUT) 3.4 Conjoint Analysis 3.5 Value of a Statistical Life 3.6 Compensation 3.7 The Impact of Changing Weights Exercises References 4. …”

Tabla de Contenidos: “…8: Image-Capturing Webbots -- Example Image-Capturing Webbot -- Creating the Image-Capturing Webbot -- Binary-Safe Download Routine -- Directory Structure -- The Main Script -- Further Exploration -- Final Thoughts -- 9: Link-Verification Webbots -- Creating the Link-Verification Webbot -- Initializing the Webbot and Downloading the Target -- Setting the Page Base -- Parsing the Links -- Running a Verification Loop -- Generating Fully Resolved URLs -- Downloading the Linked Page -- Displaying the Page Status -- Running the Webbot -- LIB_http_codes -- LIB_resolve_addresses -- Further Exploration -- 10: Anonymous Browsing Webbots -- Anonymity with Proxies -- Non-proxied Environments -- Your Online Exposure -- Proxied Environments -- The Anonymizer Project -- Writing the Anonymizer -- Final Thoughts -- 11: Search-Ranking Webbots -- Description of a Search Result Page -- What the Search-Ranking Webbot Does -- Running the Search-Ranking Webbot -- How the Search-Ranking Webbot Works -- The Search-Ranking Webbot Script -- Initializing Variables -- Starting the Loop -- Fetching the Search Results -- Parsing the Search Results -- Final Thoughts -- Be Kind to Your Sources -- Search Sites May Treat Webbots Differently Than Browsers -- Spidering Search Engines Is a Bad Idea -- Familiarize Yourself with the Google API -- Further Exploration -- 12: Aggregation Webbots -- Choosing Data Sources for Webbots -- Example Aggregation Webbot -- Familiarizing Yourself with RSS Feeds -- Writing the Aggregation Webbot -- Adding Filtering to Your Aggregation Webbot -- Further Exploration -- 13: FTP Webbots -- Example FTP Webbot -- PHP and FTP -- Further Exploration -- 14: NNTP News Webbots -- NNTP Use and History -- Webbots and Newsgroups -- Identifying News Servers -- Identifying Newsgroups -- Finding Articles in Newsgroups -- Reading an Article from a Newsgroup…”

Tabla de Contenidos: “…Cover -- Title -- Copyright -- About the Authors -- Preface -- New to the Third Edition -- Foreword -- Chapter 1 Introduction -- Contents of the Exam -- Tools and Techniques -- Agile Knowledge and Skills -- Chapter-wise Coverage of Exam Content -- Eight Steps for PMI-ACP® Exam Preparation -- Tips and Tricks for PMI-ACP® Exam -- Chapter 2 Introduction to Agile Principles and Mindset -- Introduction -- What is Agile? …”

Tabla de Contenidos: “…-- Validation and Verification -- Techniques for Requirements V&amp -- V -- Walkthroughs -- Inspections -- Goal-Based Requirements Analysis -- Requirements Understanding -- Validating Requirements Use Cases -- Prototyping -- Tools for V&amp -- V -- Requirements V&amp -- V Matrices -- Standards for V&amp -- V -- ISO/IECIEEE Standard 29148 -- Singularity -- Feasibility -- Ambiguity -- Completeness -- Consistency -- Verifiability -- Traceability -- Ranking -- Example Validation of Requirements -- Singular -- Feasible -- Unambiguous -- Complete -- Consistent -- Verifiable -- Traceable -- Ranked -- The Importance of Measurement in Requirements V&amp -- V -- Goal/Question/Metric Analysis -- NASA Requirements Testing -- NASA ARM Tool -- Imperatives -- Continuances -- Directives -- Options -- Weak Phrases -- Incomplete -- Subjects -- Specification Depth -- Readability Statistics -- Summary of NASA Metrics -- Exercises -- Note -- References -- 7 Formal Methods -- Motivation -- What Are Formal Methods? …”

Tabla de Contenidos: “…Prediction, Analysis and Monitoring of System Architecture -- Performance Prediction of J2EE Applications Using Messaging Protocols -- EJBMemProf – A Memory Profiling Framework for Enterprise JavaBeans -- Model-Driven Safety Evaluation with State-Event-Based Component Failure Annotations -- Optimizing Resource Usage in Component-Based Real-Time Systems -- Evaluating Performance Attributes of Layered Software Architecture -- Component-Level Dataflow Analysis -- Architecture and Design of Component-Based Systems -- Exogenous Connectors for Software Components -- Qinna, a Component-Based QoS Architecture -- Architecture Based Deployment of Large-Scale Component Based Systems: The Tool and Principles -- Component-Based Open Middleware Supporting Aspect-Oriented Software Composition -- An Empirical Study on the Specification and Selection of Components Using Fuzzy Logic -- Finding a Needle in the Haystack: A Technique for Ranking Matches Between Components -- Extra-Functional System Properties of Components and Component-Based Systems -- A Contracting System for Hierarchical Components -- Tailored Responsibility Within Component-Based Systems -- Efficient Upgrading in a Purely Functional Component Deployment Model -- Real-Time Scheduling Techniques for Implementation Synthesis from Component-Based Software Models -- A Component-Oriented Model for the Design of Safe Multi-threaded Applications -- TeStor: Deriving Test Sequences from Model-Based Specifications -- Components at Work -- A CCA-compliant Nuclear Power Plant Simulator Kernel -- Experience with Component-Based Development of a Telecommunication Service -- Reusable Dialog Component Framework for Rapid Voice Application Development -- Unlocking the Grid -- Experience Report: Design and Implementation of a Component-Based Protection Architecture for ASP.NET Web Services…”

Tabla de Contenidos: “…6.9.3.1 Alternative Models Based on Figure a -- 6.9.3.2 Alternative Models Based on Figure b -- 6.9.3.3 Alternative Models Based on Figure c -- 6.9.3.4 Alternative Models Based on Figure d -- 6.10 QRs with Multiple Numerical Predictors -- 6.10.1 Developing an Additive QR -- 6.10.2 Developing a Simple Two‐Way Interaction QR -- 6.10.3 Developing a Simple Three‐Way Interaction QR -- Chapter 7 Quantile Regressions with the Ranks of Numerical Predictors -- 7.1 Introduction -- 7.2 NPQRs Based on a Single Rank Predictor -- 7.2.1 Alternative Piecewise NPQRs of ACCEL on R&amp -- uscore -- Milli -- 7.2.2 Polynomial NPQRs of ACCEL on R&amp -- uscore -- Milli -- 7.2.3 Special Notes and Comments -- 7.3 NPQRs on Group of R&amp -- uscore -- Milli -- 7.3.1 An Application of the G&amp -- uscore -- Milli as a Categorical Variable -- 7.3.2 The kth‐Degree Polynomial NPQRs of ACCEL on G&amp -- uscore -- Milli -- 7.4 Multiple NPQRs Based on Data‐Faad.wf1 -- 7.4.1 An NPQR Based on a Triple Numerical Variable (X1,X2,Y) -- 7.4.2 NPQRs with Multi‐Rank Predictors -- 7.5 Multiple NPQRs Based on MLogit.wf1 -- Chapter 8 Heterogeneous Quantile Regressions Based on Experimental Data -- 8.1 Introduction -- 8.2 HQRs of Y1 on X1 by a Cell‐Factor -- 8.2.1 The Simplest HQR -- 8.2.2 A Piecewise Quadratic QR -- 8.2.3 A Piecewise Polynomial Quantile Regression -- 8.3 HLQR of Y1 on (X1,X2) by the Cell‐Factor -- 8.3.1 Additive HLQR of Y1 on (X1,X2) by CF -- 8.3.2 A Two‐Way Interaction Heterogeneous‐QR of Y1 on (X1,X2) by CF -- 8.3.3 An Application of Translog‐Linear QR of Y1 on (X1,X2) by CF -- 8.4 The HLQR of Y1 on (X1,X2,X3) by a Cell‐Factor -- 8.4.1 An Additive HLQR of Y1 on (X1,X2,X3) by CF -- 8.4.2 A Full Two‐Way Interaction HQR of Y1 on (X1,X2,X3) by CF -- 8.4.3 A Full Three‐Way Interaction HQR of Y1 on (X1,X2,X3) by CF -- Chapter 9 Quantile Regressions Based on CPS88.wf1…”

Tabla de Contenidos: “…Statistics, analytic, OLAP functions in business scenarios -- 4.1 Introduction -- 4.1.1 Using sample data -- 4.1.2 Sampling and aggregation example -- 4.2 Retail -- 4.2.1 Present annual sales by region and city -- 4.2.2 Provide total quarterly and cumulative sales revenues by year -- 4.2.3 List the top 5 sales persons by region this year -- 4.2.4 Compare and rank the sales results by state and country -- 4.2.5 Determine relationships between product purchases -- 4.2.6 Determine the most profitable items and where they are sold -- 4.2.7 Identify store sales revenues noticeably different from average -- 4.3 Finance -- 4.3.1 Identify the most profitable customers -- 4.3.2 Identify the profile of transactions concluded recently -- 4.3.3 Identify target groups for a campaign…”

“…Because with Joomla you don't need to have anytechnical expertise or web design experience to create effectivewebsites and web apps. Whether you're creating your first websiteor building a multi-function site for a client, this book providesstraightforward, hands-on instruction that makes it easy to learnthis open source web content management system. …”

Tabla de Contenidos: “…The Pyramid Principle : Logic in Writing -- Why a pyramid structure? -- Sorting into pyramids -- The magical number seven -- The need to state the logic -- Ordering from the top down -- Thinking from the bottom up -- The substructures within the pyramid -- The vertical relationship -- The horizontal relationship -- The introductory flow -- How to build a pyramid structure -- The top-down approach -- The bottom-up approach -- Caveats for beginners -- Fine points of introductions -- Initial introductions -- Why a story? …”

Tabla de Contenidos: “…Kaplan-Meier Survival Analysis -- Appendix A: Tables -- Appendix B: Data Sets -- Appendix C: Websites and Bibliography of Books -- Appendix D: Answers to Odd-Numbered Section Exercises -- Credits -- Index -- Back Cover…”

“…In the first two projects, you will learn everything from adding ranking and voting capabilities to your App to building a multiuser blog platform with a unique twist. …”

Tabla de Contenidos: “…8.1 Introduction8.2 Symbol-Ranking Compression; 8.3 Buynovsky's ACB Compressor; 8.4 References; Part III: Applications; Chapter 9. …”

Tabla de Contenidos: “…Machine generated contents note: List of Contributors Preface Part One The Contributions of Intelligent Techniques in Multicriteria Decision Aiding 1 Computational Intelligence Techniques for Multicriteria Decision Aiding: An Overview 1.1 Introduction 1.2 The MCDA Paradigm 1.2.1 Modeling Process 1.2.2 Methodological Approaches 1.3 Computational Intelligence in MCDA 1.3.1 Statistical Learning and Data Mining 1.3.2 Fuzzy Modeling 1.3.3 Metaheuristics 1.4 Conclusions References 2 Intelligent Decision Support Systems 2.1 Introduction 2.2 Fundamentals of Human Decision Making 2.3 Decision Support System 2.4 Intelligent Decision Support Systems 2.4.1 Artificial Neural Networks for Intelligent Decision Support 2.4.2 Fuzzy Logic for Intelligent Decision Support 2.4.3 Expert Systems for Intelligent Decision Support 2.4.4 Evolutionary Computing for Intelligent Decision Support 2.4.5 Intelligent Agents for Intelligent Decision Support 2.5 Evaluating Intelligent Decision Support Systems 2.5.1 Determining Evaluation Criteria 2.5.2 Multi-Criteria Model for IDSS Assessment 2.6 Summary and Future Trends References Part Two Intelligent Technologies for Decision Support and Preference Modeling 3 Designing Distributed Multi-Criteria Decision Support Systems for Complex and Uncertain Situations 3.1 Introduction 3.2 Example Applications 3.3 Key Challenges 3.4 Making Trade-offs: Multi-criteria Decision Analysis 3.4.1 Multi-attribute Decision Support 3.4.2 Making Trade-offs Under Uncertainty 3.5 Exploring the Future: Scenario-based Reasoning 3.6 Making Robust Decisions: Combining MCDA and SBR 3.6.1 Decisions Under Uncertainty: The Concept of Robustness 3.6.2 Combining Scenarios and MCDA 3.6.3 Collecting, Sharing and Processing Information: A Distributed Approach 3.6.4 Keeping Track of Future Developments: Constructing Comparable Scenarios 3.6.5 Respecting Constraints and Requirements: Scenario Management 3.6.6 Assisting Evaluation: Assessing Large Numbers of Scenarios 3.7 Discussion 3.8 Conclusion References 4 Preference Representation with Ontologies 4.1 Introduction 4.1.1 Structure of the Chapter 4.2 Ontology-based Preference Models 4.3 Maintaining the User's Profile up to Date 4.4 Decision Making Methods Exploiting the Preference Information Stored in Ontologies 4.4.1 Recommendation Based on Aggregation 4.4.2 Recommendation Based on Similarities 4.4.3 Recommendation Based on Rules 4.5 Discussion and Open Questions References Part Three Decision Models 5 Neural Networks in Multicriteria Decision Support 5.1 Introduction 5.2 Basic Concepts of Neural Networks 5.2.1 Neural Networks for Intelligent Decision Support 5.3 Basics in Multicriteria Decision Aid 5.3.1 MCDM Problems 5.3.2 Solutions of MCDM Problems 5.4 Neural Networks and Multicriteria Decision Support 5.4.1 Review of Neural Network Applications to MCDM Problems 5.4.2 Discussion 5.5 Summary and Conclusions References 6 Rule-Based Approach to Multicriteria Ranking 6.1 Introduction 6.2 Problem Setting 6.3 Pairwise Comparison Table (PCT) 6.4 Rough Approximation of Outranking and Non-outranking Relations 6.5 Induction and Application of Decision Rules 6.6 Exploitation of Preference Graphs 6.7 Illustrative Example 6.8 Summary and Conclusions References 7 About the Application of Evidence Theory in MultiCriteria Decision Aid 7.1 Introduction 7.2 Evidence Theory: Some Concepts 7.2.1 Knowledge Model 7.2.2 Combination 7.2.3 Decision Making 7.3 New Concepts in Evidence Theory for MCDA 7.3.1 First Belief Dominance 7.3.2 RBBD Concept 7.4 Multicriteria Methods modeled by Evidence Theory 7.4.1 Evidential Reasoning Approach 7.4.2 DS/AHP 7.4.3 DISSET 7.4.4 A Choice Model Inspired by ELECTRE I 7.4.5 A Ranking Model Inspired by Xu et al.'…”

Tabla de Contenidos: “…Understanding additional btree features -- Combined indexes -- Adding functional indexes -- Reducing space consumption -- Adding data while indexing -- Introducing operator classes -- Hacking up an operator class for a btree -- Creating new operators -- Creating operator classes -- Testing custom operator classes -- Understanding PostgreSQL index types -- Hash indexes -- GiST indexes -- Understanding how GiST works -- Extending GiST -- GIN indexes -- Extending GIN -- SP-GiST indexes -- BRIN indexes -- Extending BRIN indexes -- Adding additional indexes -- Achieving better answers with fuzzy searching -- Taking advantage of pg_trgm -- Speeding up LIKE queries -- Handling regular expressions -- Understanding full-text search -- Comparing strings -- Defining GIN indexes -- Debugging your search -- Gathering word statistics -- Taking advantage of exclusion operators -- Summary -- Q&amp -- A -- Chapter 4: Handling Advanced SQL -- Introducing grouping sets -- Loading some sample data -- Applying grouping sets -- Investigating performance -- Combining grouping sets with the FILTER clause -- Making use of ordered sets -- Understanding hypothetical aggregates -- Utilizing windowing functions and analytics -- Partitioning data -- Ordering data inside a window -- Using sliding windows -- Abstracting window clauses -- Making use of on-board windowing functions -- The rank and dense_rank functions -- The ntile() function -- The lead() and lag() functions -- The first_value(), nth_value(), and last_value() functions -- The row_number() function -- Writing your own aggregates -- Creating simple aggregates -- Adding support for parallel queries -- Improving efficiency -- Writing hypothetical aggregates -- Summary -- Chapter 5: Log Files and System Statistics -- Gathering runtime statistics -- Working with PostgreSQL system views -- Checking live traffic…”

Tabla de Contenidos: “…-- Relative date filtering -- Visual-level filtering -- Top N visual-level filters -- Visualization formatting -- Visual-level formatting -- Line and column charts -- Tooltips -- Report page tooltips -- Column and line chart conditional formatting -- Column chart conditional formatting -- Line chart conditional formatting -- Table and matrix -- Table and matrix conditional formatting -- Values as rows -- Scatter charts -- Map visuals -- Bubble map -- Filled map -- Mobile-optimized reports -- Responsive visuals -- Report design summary -- Summary -- Chapter 6: Applying Custom Visuals, Animation, and Analytics -- Drillthrough report pages -- Custom labels and the back button -- Multi-column drillthrough -- Bookmarks -- Selection pane and the Spotlight property -- Custom report navigation -- View mode -- ArcGIS Map visual for Power BI -- ArcGIS Maps Plus subscriptions -- Waterfall chart breakdown -- Analytics pane -- Trend Line -- Forecast line -- Quick Insights -- Explain the increase/decrease -- Custom visuals -- Adding a custom visual -- Power KPI visual -- Chiclet Slicer -- Impact Bubble Chart -- Dot Plot by Maq Software -- Animation and data storytelling -- Play axis for scatter charts -- Pulse Chart -- Summary -- Chapter 7: Designing Power BI Dashboards and Architectures -- Dashboards versus reports -- Dashboard design…”

Tabla de Contenidos: “…. -- Dissecting Hello World -- There's more... -- Working with data types -- How to&amp -- #160 -- do it... -- How&amp -- #160 -- it works... -- There's more... -- Working with pure functions and user-defined data types -- Getting ready -- How&amp -- #160 -- to do it... -- How it works... -- Source formatting -- Working with list functions -- Getting ready -- How to do it... -- How&amp -- #160 -- it works... -- List creation -- Enumerated list -- Head and tail of a list -- Operations on a list -- Indexed access -- Checking whether an element is present -- Pattern matching on list -- List concatenation -- Strings are lists -- There's more... -- Chapter 2: Getting Functional -- Introduction -- Working with recursive functions -- Getting ready -- How to&amp -- #160 -- do it... -- How it works... -- There's more... -- Reversing a list - Recursive worker function pattern -- Getting ready -- How to do it... -- How it works... -- There's more... -- Creating maps and filters -- Getting ready -- How to&amp -- #160 -- do it... -- How it works... -- Map&amp -- #160 -- function -- Filter function -- There's more... -- Working with laziness and recursion -- Getting ready -- How to do it... -- How it works... -- Working with folds -- Getting ready -- How to do it... -- How it works... -- There's more... -- Sorting a list -- Getting ready -- How to do it... -- How it works... -- There's more... -- Implementing merge sort -- Getting ready -- How to do it... -- How it works... -- Implementing Eratosthenes Sieve -- Getting ready -- How to do it... -- How it works... -- There's more... -- Chapter 3: Defining Data…”