8.14

5 Lists🔗

    5.1 From Tables to Lists

      5.1.1 Basic Statistical Questions

      5.1.2 Extracting a Column from a Table

      5.1.3 Understanding Lists

        5.1.3.1 Lists as Anonymous Data

        5.1.3.2 Creating Literal Lists

      5.1.4 Operating on Lists

        5.1.4.1 Built-In Operations on Lists of Numbers

        5.1.4.2 Built-In Operations on Lists in General

        5.1.4.3 An Aside on Naming Conventions

        5.1.4.4 Getting Elements By Position

        5.1.4.5 Transforming Lists

        5.1.4.6 Recap: Summary of List Operations

      5.1.5 Lambda: Anonymous Functions

      5.1.6 Combining Lists and Tables

    5.2 Processing Lists

      5.2.1 Making Lists and Taking Them Apart

      5.2.2 Some Example Exercises

      5.2.3 Structural Problems with Scalar Answers

        5.2.3.1 my-len: Examples

        5.2.3.2 my-sum: Examples

        5.2.3.3 From Examples to Code

      5.2.4 Structural Problems that Transform Lists

        5.2.4.1 my-doubles: Examples and Code

        5.2.4.2 my-str-len: Examples and Code

      5.2.5 Structural Problems that Select from Lists

        5.2.5.1 my-pos-nums: Examples and Code

        5.2.5.2 my-alternating: Examples and Code

      5.2.6 Structural Problems Over Relaxed Domains

        5.2.6.1 my-max: Examples

        5.2.6.2 my-max: From Examples to Code

      5.2.7 More Structural Problems with Scalar Answers

        5.2.7.1 my-avg: Examples

      5.2.8 Structural Problems with Accumulators

        5.2.8.1 my-running-sum: First Attempt

        5.2.8.2 my-running-sum: Examples and Code

        5.2.8.3 my-alternating: Examples and Code

      5.2.9 Dealing with Multiple Answers

        5.2.9.1 uniq: Problem Setup

        5.2.9.2 uniq: Examples

        5.2.9.3 uniq: Code

        5.2.9.4 uniq: Reducing Computation

        5.2.9.5 uniq: Example and Code Variations

        5.2.9.6 uniq: Why Produce a List?

      5.2.10 Monomorphic Lists and Polymorphic Types

    5.3 Recursive Data

      5.3.1 Functions to Process Recursive Data

      5.3.2 A Template for Processing Recursive Data

      5.3.3 The Design Recipe