The Art of Clean Code: Best Practices to Eliminate Complexity and Simplify Your Life

Brief Contents
Contents in Detail
Foreword
Acknowledgments
Introduction
	Who Is This Book For?
	What Will You Learn?
Chapter 1: How Complexity Harms Your Productivity
	What Is Complexity?
	Complexity in a Project Life Cycle
		Planning
		Defining
		Designing
		Building
		Testing
		Deployment
	Complexity in Software and Algorithmic Theory
	Complexity in Learning
	Complexity in Processes
	Complexity in Your Daily Life, or Death by a Thousand Cuts
	Conclusion
Chapter 2: The 80/20 Principle
	80/20 Principle Basics
	Application Software Optimization
	Productivity
	Success Metrics
	Focus and the Pareto Distribution
	Implications for Coders
		A Success Metric for Programmers
		Pareto Distributions in the Real World
	Pareto Is Fractal
	80/20 Practice Tips
	Resources
Chapter 3: Build a Minimum Viable Product
	A Problem Scenario
		Loss of Motivation
		Distraction
		Running Over Time
		Lack of Response
		Wrong Assumptions
		Unnecessary Complexity
	Building a Minimum Viable Product
		Four Pillars of Building a Minimum Viable Product
		Advantages of the Minimum Viable Product
		Stealth vs. Minimum Viable Product Approach
	Conclusion
Chapter 4: Write Clean and Simple Code
	Why Write Clean Code?
	Writing Clean Code: The Principles
		Principle 1: Think About the Big Picture
		Principle 2: Stand on the Shoulders of Giants
		Principle 3: Code for People, Not Machines
		Principle 4: Use the Right Names
		Principle 5: Adhere to Standards and Be Consistent
		Principle 6: Use Comments
		Principle 7: Avoid Unnecessary Comments
		Principle 8: The Principle of Least Surprise
		Principle 9: Don’t Repeat Yourself
		Principle 10: Single Responsibility Principle
		Principle 11: Test
		Principle 12: Small Is Beautiful
		Principle 13: The Law of Demeter
		Principle 14: You Ain’t Gonna Need It
		Principle 15: Don’t Use Too Many Levels of Indentation
		Principle 16: Use Metrics
		Principle 17: Boy Scout Rule and Refactoring
	Conclusion
Chapter 5: Premature Optimization Is the Root of All Evil
	Six Types of Premature Optimization
		Optimizing Code Functions
		Optimizing Features
		Optimizing Planning
		Optimizing Scalability
		Optimizing Test Design
		Optimizing Object-Oriented World Building
	Premature Optimization: A Story
	Six Tips for Performance Tuning
		Measure First, Improve Second
		Pareto Is King
		Algorithmic Optimization Wins
		All Hail the Cache
		Less Is More
		Know When to Stop
	Conclusion
Chapter 6: Flow
	What Is Flow?
	How to Achieve Flow
		Clear Goals
		Feedback Mechanism
		Balance Opportunity and Capacity
	Flow Tips for Coders
	Conclusion
	Resources
Chapter 7: Do One Thing Well and Other Unix Principles
	The Rise of Unix
	Philosophy Overview
	15 Useful Unix Principles
		1. Make Each Function Do One Thing Well
		2. Simple Is Better Than Complex
		3. Small Is Beautiful
		4. Build a Prototype as Soon as Possible
		5. Choose Portability Over Efficiency
		6. Store Data in Flat Text Files
		7. Use Software Leverage to Your Advantage
		8. Avoid Captive User Interfaces
		9. Make Every Program a Filter
		10. Worse Is Better
		11. Clean Code Is Better Than Clever Code
		12. Design Programs to Connect With Other Programs
		13. Make Your Code Robust
		14. Repair What You Can—But Fail Early and Noisily
		15. Avoid Hand-Hacking: Write Programs to Write Programs If You Can
	Conclusion
	Resources
Chapter 8: Less Is More in Design
	Minimalism in the Evolution of Mobile Phones
	Minimalism in Search
	Material Design
	How to Achieve Minimalistic Design
		Use Whitespace
		Remove Design Elements
		Remove Features
		Reduce Variations of Fonts and Colors
		Be Consistent
	Conclusion
	Resources
Chapter 9: Focus
	The Weapon Against Complexity
	Unifying the Principles
	Conclusion
Letter from the Author
Index