Zipcode Notes

Core Concepts:

• Computational Thinking Overview - The four pillars that transform complex problems into manageable solutions
• Decomposition - Breaking down complex problems (demonstrated through a dungeon game example)
• Abstraction - Hiding complexity to reveal what really matters

Problem-Solving Techniques:

• Pattern Matching - Recognizing solutions you’ve seen before
• Algorithmic Design - Creating step-by-step procedures that actually solve problems

Core Understanding:

• Programming Basics - What programming actually is and how to set up your environment
• What’s a REPL - Interactive programming environments for safe experimentation
• Spreadsheet Fundamentals - Understanding data organization before databases

Problem-Solving Approach:

• Approaching Programming Labs - Systematic methods for tackling any assignment
• Regex Overview - Pattern matching concepts you’ll encounter everywhere

Learning Strategies:

• Note-Taking Strategies - Effective techniques for programming subjects
• Metacognition - Learning how to learn effectively
• Attention & Focus Techniques - Cognitive strategies for maintaining concentration

Java Programming:

• Java Basics - Object-oriented programming fundamentals and strong typing
• Java Code Reading - Comprehensive examples organized by difficulty level

Python Programming:

• Python Basics - Dynamic programming and Pythonic patterns
• Python Code Reading - Extensive examples showcasing Python’s philosophy

Version Control & Collaboration:

• Git Basics - Version control that’ll save your sanity
• Git Collaboration - Working with teams using branches and pull requests

Command Line & Environment:

• Shell Basics - Command-line skills that make you look like a pro
• Zsh Configuration - Modern shell features and customization
• Linux Files Guide - File system navigation and permissions

Code Quality:

• Unit Testing Basics - Writing code that doesn’t break and catching bugs early

Core Decomposition Guides:

• Lab Project Guides Overview - Framework for systematic problem decomposition
• DiceyLab Decomposition - Dice rolling simulation with probability and OOP
• PhoneBook Lab Guide - Your first meaningful abstraction project

Advanced Project Guides:

• Hamurabi Game Guide - Ancient civilization simulation with state management
• UML & Program Design - Visual program planning
• Casino Week 5 Study Guide - 6-day collaborative casino development plan

Java Fundamentals:

• Java Code Reading Overview - Comprehensive collection organized by difficulty
• Java Beginner Basics - Numbers, strings, lists, and maps
• Java Fundamentals - Control structures, built-in types, and variables
• Control Structures - if/else statements, loops, and conditional logic

Object-Oriented Programming:

• Objects and Methods - Classes, objects, method calls, and encapsulation
• OOP Concepts - Inheritance, polymorphism, interfaces, and advanced patterns

Advanced Java Topics:

• Collections Framework - Lists, sets, maps, and collection algorithms
• File I/O Operations - Reading, writing, and processing files
• Regular Expressions - Pattern matching and text processing in Java
• Exception Handling - Robust error handling with try-catch blocks
• Threads & Concurrency - Multi-threading and synchronization
• Lambdas & Functional Programming - Master lambda expressions, functional interfaces, and stream operations

Python Fundamentals:

• Python Code Reading Overview - Comprehensive collection showcasing Pythonic patterns
• Python Beginner Basics - Numbers, strings, lists, and dictionaries
• Python Fundamentals - Essential Python concepts and syntax
• Control Structures - if/else statements, loops, and conditional logic

Data Structures & Processing:

• Python Lists - Your first data structure that actually makes sense
• Python Dictionaries - Key-value pairs that’ll change how you store data
• Python Slicing - Working with sequences and advanced slicing patterns
• Comprehensions - List, dict, and set comprehensions for elegant data processing
• Generators & Iterators - Lazy evaluation and memory-efficient processing

Advanced Python Topics:

• Classes and Methods - Object-oriented programming in Python
• Regular Expressions - Pattern matching and text processing the Pythonic way
• Exception Handling - Graceful error handling with try-except patterns
• Decorators & Context Managers - Code enhancement and resource management
• File I/O Operations - Reading, writing, and managing files efficiently
• Pythonic Code - Writing idiomatic Python following community standards
• Dunder Methods - Magic methods and operator overloading
• Lambdas & Functional Programming - Master lambda expressions, map, filter, reduce, and Pythonic patterns
• Virtual Environments - Managing project dependencies and environments
• Venv Redux - Modern Python environment management
• Why Pip - Understanding Python package management
• Name Main Idiom - The if __name__ == "__main__" pattern

Jupyter Notebooks:

• Jupyter Introduction - Interactive computing that changed data science forever
• Jupyter User Guide - Master productivity features, shortcuts, and workflows
• Pandas in Jupyter - The dynamic duo for interactive data analysis
• Jupyter Week 5 Study Guide - Strategic approach to real-world data analysis projects

Data Pipeline Fundamentals:

• Data Engineering Overview - Building robust data processing systems
• Pipeline Basics - Core concepts every data engineer needs
• Basic Pipeline Example - Simple Python data processing workflow

Data Processing & Quality:

• Pandas Fundamentals - Comprehensive guide to data manipulation
• Working with Data Sources - APIs, databases, files, and integration patterns
• Data Quality & Validation - Cleaning and validation techniques

Core SQL Concepts:

• SQL Fundamentals Introduction - What SQL is and why it matters for every programmer
• SQL Terminology and Structure - Tables, records, fields, keys, and schemas explained
• Database Relationships Explained - How tables connect and create powerful data models

Essential SQL Commands:

• Your First SELECT Statements - The foundation command for talking to databases
• Filtering Data with WHERE - Find exactly the data you need with precision
• Changing Data: INSERT, UPDATE, DELETE - Safely modify database data with proper precautions

Advanced SQL Techniques:

• Aggregation and Grouping - Summarize data with COUNT, SUM, AVG, and GROUP BY
• Working with Multiple Tables - JOINs - Combine data from related tables
• Subqueries and Derived Tables - Solve complex problems with queries within queries

Foundation Concepts:

• Three-Tier Architecture - The blueprint for scalable web applications
• REST API Fundamentals - How front-ends and back-ends communicate effectively

Frontend Development:

• Vanilla JavaScript + Fetch - Core browser technologies and DOM manipulation
• Vue.js Task Manager - Progressive framework with reactive data binding
• React Task Manager - Industry standard patterns with hooks and modern React

Backend Development:

• FastAPI Simple User API - Python-based REST API development
• Spring Boot Simple User API - Java-based enterprise API patterns
• Simple Messaging App - Real-time communication with SQLAlchemy

Program Structure & Collaboration:

• Group Coding Level Zero - Foundation skills for collaborative programming
• ZipCode Blueprint - Understanding the program structure and expectations

Progress & Documentation:

• Writing Progress - Methods for tracking and documenting learning progress