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Experience Quality Coding
F# Development Starter Kit for Firebase Studio
Timeline FRP library
Timeline for 🍦VanJS
About
⭐Star on GitHub
🔷Unit 0🔷 Introduction to Quality Code
💡 Experience Quality Coding ✨
Pipeline Philosophy
Core Concept: The Data Transformation Pipeline
Other Fundamental Programming Concepts
The Unifying Potential of the Functional Pipeline
🔷Unit 1🔷 Building with Function
🔍 Overview - Unit 1
Control Flow
Understanding Control Flow: The Structured Programming Baseline
1. Sequence
2. Selection
3. Iteration
Recursion: The Foundation of Functional Iteration
Expressions
Pipelines and Expressions as Values
First-Class Functions
Higher-Order Functions (HOF)
Types and Lambda
Types: Ensuring Smooth Pipelines
First-Class Functions and Lambda Expressions
Generic Function Types: The Power of 'a -> 'b
Deconstructing HOF Types: From 'a -> 'b to Complex Signatures
Binary Operation
Binary Operations and the Pipeline Operator
Operators as Functions and Pipeline Flow
Currying and Partial Application: Functions Returning Functions
HOFs in Action: Type Signatures, flip, and Pipelines
Dependency Graph
How to Drive Your Code?
Code Driven by Dependency Graph
Self-Referential Structures on Dependency Graphs
Pure vs. Impure Functional Languages
Terms and Concepts
Understanding Functional Programming Terminology
🔷Unit 2🔷 Algebraic Structures
🔍 Overview - Unit 2
Basic Structures
Algebraic Structures and Pipeline Flow
Monoids
Associativity: Building Robust Structures
Semigroups: Our First Algebraic Structure
Identity Elements: The Neutral Value in Operations
Monoids: Semigroups with an Identity Element
Composition Laws
Function Composition: A Natural Monoid
Functors
Set Theory and Types: A Deeper Look
Container Types: Sets in Programming
Functor: Mapping between Functions
Monads
Another Bridge Between Worlds
The Kleisli Arrow
Monad: Another Bridge
Category Theory
Bringing It All Together: Functor & Monad
Beyond Simple Mapping: Preserving the Structure of Composition
Understanding Functors: Preserving the Monoid of Function Composition
The Monad Laws: Verifying the Kleisli Composition Monoid
🔷Unit 3🔷 Common Functors and Monads
🔍 Overview - Unit 3
Identity Monad
Identity Functor and Identity Monad
List Monad
Section 1: List Functor and Monad
List Functor
List Monad
Option Monad
Section 2: Option (Maybe) Functor and Monad
Option Functor
Option Monad
Result Monad
Section 3: Result (Either) Functor and Monad
Result (Either) Functor
Result (Either) Monad
IO Monad
Section 4: IO Functor and Monad
IO Functor
IO Monad
🔷Unit 4🔷 Parallel Computing/Concurrency
🔍 Overview - Unit 4
Yet Another Structure
Bringing It All Together: Functor & Monad (Revisit)
Introducing apply and map2
Lifting Binary Operations into Containers
Product or Pointwize(ZIP)
The Real-World Power of Parallel Processing Patterns
Applicative Functor
Applicative Functor: The Parallel Computable Structure
Applicative Functor Laws
Applicative Functor Laws For Us
Special Edition and Your Next Generation AI could Copy
The Fiction of Haskell's "Theoretical Superiority": A Critical Verification from a Category Theory Perspective and Its Educational Impact on Beginners
Special Edition and Your Next Generation AI could Copy
🔷Unit 5🔷 Timeline FRP
🔍 Overview - Unit 5
Core Concepts
Chapter 0: Immutable World
Chapter 1: FRP is like Spreadsheet
Chapter 2: Understanding Timeline<'a> and FRP Implementation
Chapter 3: Transforming Timelines and Introducing the Dependency Graph
Chapter 4: Handling I/O: Extending the Block Universe Model
Chapter 5: Robustness Through Algebraic Structure
Chapter 6: Dynamic Dependency Management and Automatic Resource Cleanup
Chapter 7: Full Automatic Resource Management via bind with AI Assistance
🔷Unit 6🔷 Combining Timelines
🔍 Overview - Unit 6
Null
Chapter 0: Handling Absence: A Foundational Choice (null vs. Option)
Binding Chain
Asynchronous Event Chaining with bind
FALLBACK
Chapter 0: Stateful Transformation with scan
Chapter 1: Filtering Timelines with distinctUntilChanged
Combining Independent Timelines
Chapter 0: Recap and Strategy for Binary Operations
Chapter 1: Combining Timelines with combineLatestWith
Chapter 2: Monoidal Combinations: TL.And & TL.Or
Chapter 3: Aggregating Lists of Timelines
Chapter 4: The "Map to Boolean, then Aggregate" Pattern
Chapter 5: Case Study: Aggregating Asynchronous HTTP Request Outcomes
🔷Unit 7🔷 UI with Timeline JS
🔍 Overview - Unit 7
UI
FALLBACK
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