Complete Readings Index

Complete Readings Index

Welcome to the complete readings index for TaoTeZipcode! This page lists all course materials organized by their reading numbers, making it easy to find assigned readings and track your progress.

How to Use This Index

  • Find assigned readings: If your instructor assigns “Reading 4.5”, scan the index to find it quickly
  • Track progress: Check off readings as you complete them
  • Plan ahead: See what’s coming next in your learning path
  • Reference: Bookmark this page for quick access to any article

1.0 Computational Thinking Foundations

Core problem-solving methodologies that form the foundation of all programming work.

NumberTitleDescription
1.1DecompositionBreaking down complex problems into manageable pieces
1.2AbstractionHiding complexity while preserving essential characteristics
1.3Pattern RecognitionIdentifying similarities and connections between problems
1.4Algorithmic DesignCreating step-by-step procedures to solve problems systematically

Suggested Sequence: Complete in order (1.1 → 1.2 → 1.3 → 1.4)


2.0 Development Environment & Tools

Essential command-line tools and version control systems every developer needs.

NumberTitleDescription
2.1Shell BasicsEssential command-line skills for navigating and working in the terminal
2.2Git GuideVersion control fundamentals for managing code
2.3Linux Files GuideUnderstanding file systems, permissions, and navigation
2.4Zsh GuideModern shell features and configuration for power users

Suggested Sequence: 2.1 → 2.3 → 2.2 → 2.4 (master shell before Git)


3.0 Programming Fundamentals

Cross-language concepts and professional development skills.

NumberTitleDescription
3.1Basics GuideGeneral programming fundamentals and development environment setup
3.2What’s a REPLUnderstanding Read-Eval-Print Loops for interactive programming
3.3Unit Testing BasicsFundamentals of testing your code to ensure correctness
3.4Approaching Programming LabsSystematic strategies for tackling programming assignments
3.5MetacognitionThinking about your thinking to become a better learner
3.6Intro to Note-TakingEffective note-taking strategies for programming education
3.7Attention as a StrengthManaging focus and energy for deep programming work

Suggested Sequence: 3.1 → 3.2 → 3.6 → 3.5 → 3.4 → 3.3 → 3.7


4.0 Java Code Reading

Progressive Java examples from beginner to advanced, showcasing object-oriented programming.

Core Java Progression

NumberTitleDescription
4.1Java Beginner BasicsVariables, data types, and basic Java syntax
4.2Java FundamentalsCore Java concepts and control flow
4.3Java Control StructuresConditionals, loops, and program flow control
4.4Objects and MethodsObject-oriented programming basics in Java
4.5OOP ConceptsInterfaces, inheritance, polymorphism, and encapsulation
4.6CollectionsLists, sets, maps, and Java’s collections framework
4.7File I/OReading, writing, and processing files in Java
4.8Threads & ConcurrencyMulti-threading and synchronization patterns

Capstone Project: Pong Game

NumberTitleDescription
4.9Pong Game ProjectComplete game project overview and architecture
4.9.1Ball ClassGame physics and ball movement
4.9.2Paddle ClassPlayer paddle implementation
4.9.3Score ClassScore tracking and display
4.9.4Game PanelMain game rendering and logic
4.9.5Game FrameWindow and UI setup
4.9.6Main GameApplication entry point

Suggested Sequence: Complete 4.1-4.8 in order, then explore 4.9.x as a capstone


5.0 Python Code Reading

Progressive Python examples from beginner to advanced, emphasizing Pythonic patterns.

NumberTitleDescription
5.1Python Beginner BasicsVariables, data types, and basic Python syntax
5.2Python FundamentalsCore Python concepts and data structures
5.3Python Control StructuresConditionals, loops, and control flow in Python
5.4SlicingWorking with sequences and advanced slicing patterns
5.5ComprehensionsList, dict, and set comprehensions for elegant data processing
5.6Classes and MethodsObject-oriented programming in Python
5.7File I/OReading, writing, and managing files efficiently
5.8Generators & IteratorsLazy evaluation and memory-efficient data processing
5.9Decorators & Context ManagersCode enhancement and resource management patterns
5.10Pythonic PatternsIdiomatic Python code and best practices
5.11Virtual EnvironmentsManaging Python dependencies and project isolation

Suggested Sequence: Complete in order (5.1 → 5.11)


6.0 Troubleshooting & Fixes

Common setup issues and their solutions. Reference these as needed.

NumberTitleDescription
6.1Git SSH Key SetupSetting up SSH keys for Git authentication
6.2Spark Docker SetupTroubleshooting Spark and Docker configuration

Usage: Reference material - consult when you encounter specific setup problems


7.0 Practice & Application

Whiteboard problems and supplemental notes for practice and reinforcement.

NumberTitleDescription
7.1Whiteboard: Beginner PythonBeginner-level Python whiteboard problems
7.2Whiteboard: Beginner PseudocodeBeginner problems focusing on algorithmic thinking
7.3Whiteboard: Intermediate PseudocodeIntermediate-level algorithmic challenges
7.4Notes on Beginner JavaSupplemental notes for Java beginners
7.5Notes on Beginner PythonSupplemental notes for Python beginners

Usage: Practice problems to reinforce concepts from main readings


Learning Paths

Path 1: Foundations First (Recommended for Beginners)

Start here if you’re new to programming:

  1. Complete 1.1-1.4 (Computational Thinking)
  2. Complete 2.1-2.3 (Tools)
  3. Complete 3.1-3.2 (Programming Basics)
  4. Choose Java (4.1+) or Python (5.1+) track

Path 2: Java Developer Track

For students focusing on Java:

  1. Complete 1.1-1.4 (Computational Thinking)
  2. Complete 2.1-2.2 (Shell & Git)
  3. Complete 3.1-3.4 (Programming Fundamentals)
  4. Progress through 4.1-4.8 (Java Core)
  5. Complete 4.9.x (Pong Capstone)

Path 3: Python Developer Track

For students focusing on Python:

  1. Complete 1.1-1.4 (Computational Thinking)
  2. Complete 2.1-2.2 (Shell & Git)
  3. Complete 3.1-3.4 (Programming Fundamentals)
  4. Progress through 5.1-5.11 (Python)

Path 4: Full Stack

For students learning both languages:

  1. Complete 1.1-1.4 (Computational Thinking)
  2. Complete 2.1-2.4 (All Tools)
  3. Complete 3.1-3.7 (All Fundamentals)
  4. Complete 4.1-4.8 (Java)
  5. Complete 5.1-5.11 (Python)
  6. Practice with 7.1-7.5

Progress Tracking

Print this page or create a checklist to track your progress through the readings. Here’s a suggested format:

Week 1:
☐ 1.1 Decomposition
☐ 1.2 Abstraction
☐ 2.1 Shell Basics
☐ 3.1 Basics Guide
☐ 3.6 Intro to Note-Taking

Week 2:
☐ 1.3 Pattern Recognition
☐ 1.4 Algorithmic Design
☐ 2.2 Git Guide
☐ 2.3 Linux Files Guide
☐ 3.5 Metacognition

... and so on

Quick Search by Number

Looking for a specific reading? Use your browser’s find feature (Ctrl+F or Cmd+F) and search for the number (e.g., “3.5”).


Tips for Success

Make the Most of These Readings

  • Don’t just skim—actively engage with the examples
  • Take notes in your own words
  • Try the code examples yourself
  • Connect concepts to your current lab work
  • Ask questions when something isn’t clear
  • Review previous readings when needed

Avoid These Common Mistakes

  • Skipping prerequisite readings
  • Reading too many articles at once without practice
  • Not taking breaks between complex topics
  • Memorizing instead of understanding
  • Moving ahead before mastering fundamentals

Need Help?

  • Lost or confused? Go back to 1.1-1.4 to refresh computational thinking foundations
  • Struggling with tools? Review 2.1-2.3 and use 6.1-6.2 for troubleshooting
  • Feeling overwhelmed? Read 3.5-3.7 for metacognition and study strategies
  • Want more practice? Work through 7.1-7.5 whiteboard problems

Last Updated: January 2026

🚀 Start with 1.1: Decomposition