mirror of
https://github.com/tradecatlabs/vibe-coding-cn.git
synced 2026-08-25 00:28:24 +00:00
refactor(en): restructure en/documents to match zh structure
- Reorganize from 7 flat directories to 5 aggregated directories - 00-fundamentals: core concepts, glue coding, methodology - 01-getting-started: environment setup guides - 02-methodology: tools, tutorials, development guides - 03-practice: project examples (polymarket, telegram, fate-engine, etc.) - 04-resources: templates, tools, external resources - Remove duplicate files with underscore naming - Add README.md for 00-fundamentals and 02-methodology
This commit is contained in:
tukuaiai
@@ -0,0 +1,45 @@
|
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# Code Organization
|
||||
|
||||
## Modular Programming
|
||||
|
||||
- Divide code into small, reusable modules or functions, with each module responsible for doing only one thing.
|
||||
- Use clear modular structures and directory structures to organize code, making it easier to navigate.
|
||||
|
||||
## Naming Conventions
|
||||
|
||||
- Use meaningful and consistent naming conventions so that the purpose of variables, functions, and classes can be understood from their names.
|
||||
- Follow naming conventions, such as CamelCase for class names and snake_case for function and variable names.
|
||||
|
||||
## Code Comments
|
||||
|
||||
- Add comments to complex code segments to explain the code's functionality and logic.
|
||||
- Use block comments (/*...*/) and line comments (//) to distinguish between different types of comments.
|
||||
|
||||
## Code Formatting
|
||||
|
||||
- Use consistent code style and formatting rules, and use tools like Prettier or Black to automatically format code.
|
||||
- Use blank lines, indentation, and spaces to increase code readability.
|
||||
|
||||
# Documentation
|
||||
|
||||
## Docstrings
|
||||
|
||||
- Use docstrings at the beginning of each module, class, and function to explain its purpose, parameters, and return values.
|
||||
- Choose a consistent docstring format, such as Google Style, NumPy/SciPy Style, or Sphinx Style.
|
||||
|
||||
## Automated Document Generation
|
||||
|
||||
- Use tools like Sphinx, Doxygen, or JSDoc to automatically generate documentation from code.
|
||||
- Keep documentation and code synchronized to ensure documentation is always up-to-date.
|
||||
|
||||
## README File
|
||||
|
||||
- Include a detailed README file in the root directory of each project, explaining the project's purpose, installation steps, usage, and examples.
|
||||
- Write README files using Markdown syntax to make them easy to read and maintain.
|
||||
|
||||
# Tools
|
||||
|
||||
## IDE
|
||||
|
||||
- Use powerful IDEs such as Visual Studio Code, PyCharm, or IntelliJ, leveraging their code auto-completion, error checking, and debugging features.
|
||||
- Configure IDE plugins, such as linters (e.g., ESLint, Pylint) and code formatters.
|
||||
@@ -0,0 +1,695 @@
|
||||
# General Project Architecture Template
|
||||
|
||||
## 1️⃣ Standard Structure for Python Web/API Projects
|
||||
|
||||
```
|
||||
project_name/
|
||||
├── README.md # Project README
|
||||
├── LICENSE # Open-source license
|
||||
├── requirements.txt # Dependency management (pip)
|
||||
├── pyproject.toml # Modern Python project configuration (recommended)
|
||||
├── setup.py # Package installation script (if packaged as a library)
|
||||
├── .gitignore # Git ignore file
|
||||
├── .env # Environment variables (not committed to Git)
|
||||
├── .env.example # Example environment variables
|
||||
├── CLAUDE.md # Claude persistent context
|
||||
├── AGENTS.md # Codex persistent context
|
||||
├── Sublime-Text.txt # For requirements and notes, for self-reference, and CLI session recovery commands ^_^
|
||||
│
|
||||
├── docs/ # Documentation directory
|
||||
│ ├── api.md # API documentation
|
||||
│ ├── development.md # Development guide
|
||||
│ └── architecture.md # Architecture description
|
||||
│
|
||||
├── scripts/ # Script tools
|
||||
│ ├── deploy.sh # Deployment script
|
||||
│ ├── backup.sh # Backup script
|
||||
│ └── init_db.sh # Database initialization
|
||||
│
|
||||
├── tests/ # Test code
|
||||
│ ├── __init__.py
|
||||
│ ├── conftest.py # pytest configuration
|
||||
│ ├── unit/ # Unit tests
|
||||
│ ├── integration/ # Integration tests
|
||||
│ └── test_config.py # Configuration tests
|
||||
│
|
||||
├── src/ # Source code (recommended)
|
||||
│ ├── __init__.py
|
||||
│ ├── main.py # Program entry point
|
||||
│ ├── app.py # Flask/FastAPI application
|
||||
│ ├── config.py # Configuration management
|
||||
│ │
|
||||
│ ├── core/ # Core business logic
|
||||
│ │ ├── __init__.py
|
||||
│ │ ├── models/ # Data models
|
||||
│ │ ├── services/ # Business services
|
||||
│ │ └── utils/ # Utility functions
|
||||
│ │
|
||||
│ ├── api/ # API interface layer
|
||||
│ │ ├── __init__.py
|
||||
│ │ ├── v1/ # Version 1
|
||||
│ │ └── dependencies.py
|
||||
│ │
|
||||
│ ├── data/ # Data processing
|
||||
│ │ ├── __init__.py
|
||||
│ │ ├── repository/ # Data access layer
|
||||
│ │ └── migrations/ # Database migrations
|
||||
│ │
|
||||
│ └── external/ # External services
|
||||
│ ├── __init__.py
|
||||
│ ├── clients/ # API clients
|
||||
│ └── integrations/ # Integration services
|
||||
│
|
||||
├── logs/ # Log directory (not committed to Git)
|
||||
│ ├── app.log
|
||||
│ └── error.log
|
||||
│
|
||||
└── data/ # Data directory (not committed to Git)
|
||||
├── raw/ # Raw data
|
||||
├── processed/ # Processed data
|
||||
└── cache/ # Cache
|
||||
```
|
||||
|
||||
**Use Cases**: Flask/FastAPI Web applications, RESTful API services, Web backends
|
||||
|
||||
---
|
||||
|
||||
## 2️⃣ Standard Structure for Data Science/Quant Projects
|
||||
|
||||
```
|
||||
project_name/
|
||||
├── README.md
|
||||
├── LICENSE
|
||||
├── requirements.txt
|
||||
├── .gitignore
|
||||
├── .env
|
||||
├── .env.example
|
||||
├── CLAUDE.md # Claude persistent context
|
||||
├── AGENTS.md # Codex persistent context
|
||||
├── Sublime-Text.txt # For requirements and notes, for self-reference, and CLI session recovery commands ^_^
|
||||
│
|
||||
├── docs/ # Documentation directory
|
||||
│ ├── notebooks/ # Jupyter documentation
|
||||
│ └── reports/ # Analysis reports
|
||||
│
|
||||
├── notebooks/ # Jupyter Notebook
|
||||
│ ├── 01_data_exploration.ipynb
|
||||
│ ├── 02_feature_engineering.ipynb
|
||||
│ └── 03_model_training.ipynb
|
||||
│
|
||||
├── scripts/ # Script tools
|
||||
│ ├── train_model.py # Training script
|
||||
│ ├── backtest.py # Backtest script
|
||||
│ ├── collect_data.py # Data collection
|
||||
│ └── deploy_model.py # Model deployment
|
||||
│
|
||||
├── tests/ # Tests
|
||||
│ ├── test_data/
|
||||
│ └── test_models/
|
||||
│
|
||||
├── configs/ # Configuration files
|
||||
│ ├── model.yaml
|
||||
│ ├── database.yaml
|
||||
│ └── trading.yaml
|
||||
│
|
||||
├── src/ # Source code
|
||||
│ ├── __init__.py
|
||||
│ │
|
||||
│ ├── data/ # Data processing module
|
||||
│ │ ├── __init__.py
|
||||
│ │ ├── collectors/ # Data collectors
|
||||
│ │ ├── processors/ # Data cleaning
|
||||
│ │ ├── features/ # Feature engineering
|
||||
│ │ └── loaders.py # Data loaders
|
||||
│ │
|
||||
│ ├── models/ # Model module
|
||||
│ │ ├── __init__.py
|
||||
│ │ ├── strategies/ # Trading strategies
|
||||
│ │ ├── backtest/ # Backtest engine
|
||||
│ │ └── risk/ # Risk management
|
||||
│ │
|
||||
│ ├── utils/ # Utility module
|
||||
│ │ ├── __init__.py
|
||||
│ │ ├── logging.py # Log configuration
|
||||
│ │ ├── database.py # Database tools
|
||||
│ │ └── api_client.py # API client
|
||||
│ │
|
||||
│ └── core/ # Core module
|
||||
│ ├── __init__.py
|
||||
│ ├── config.py # Configuration management
|
||||
│ ├── signals.py # Signal generation
|
||||
│ └── portfolio.py # Portfolio
|
||||
│
|
||||
├── data/ # Data directory (Git ignored)
|
||||
│ ├── raw/ # Raw data
|
||||
│ ├── processed/ # Processed data
|
||||
│ ├── external/ # External data
|
||||
│ └── cache/ # Cache
|
||||
│
|
||||
├── models/ # Model files (Git ignored)
|
||||
│ ├── checkpoints/ # Checkpoints
|
||||
│ └── exports/ # Exported models
|
||||
│
|
||||
└── logs/ # Logs (Git ignored)
|
||||
├── trading.log
|
||||
└── errors.log
|
||||
```
|
||||
|
||||
**Use Cases**: Quantitative trading, machine learning, data analysis, AI research
|
||||
|
||||
---
|
||||
|
||||
## 3️⃣ Monorepo (Multi-Project Repository) Standard Structure
|
||||
|
||||
```
|
||||
project_name-monorepo/
|
||||
├── README.md
|
||||
├── LICENSE
|
||||
├── .gitignore
|
||||
├── .gitmodules # Git submodules
|
||||
├── docker-compose.yml # Docker orchestration
|
||||
├── CLAUDE.md # Claude persistent context
|
||||
├── AGENTS.md # Codex persistent context
|
||||
├── Sublime-Text.txt # This is a file, for requirements and notes, for self-reference, and CLI session recovery commands ^_^
|
||||
│
|
||||
├── docs/ # Global documentation
|
||||
│ ├── architecture.md
|
||||
│ └── deployment.md
|
||||
│
|
||||
├── scripts/ # Global scripts
|
||||
│ ├── build_all.sh
|
||||
│ ├── test_all.sh
|
||||
│ └── deploy.sh
|
||||
│
|
||||
├── backups/ # Backup files
|
||||
│ ├── archive/ # Old backup files
|
||||
│ └── gz/ # Gzip backup files
|
||||
│
|
||||
├── services/ # Microservice directory
|
||||
│ │
|
||||
│ ├── user-service/ # User service
|
||||
│ │ ├── Dockerfile
|
||||
│ │ ├── requirements.txt
|
||||
│ │ ├── src/
|
||||
│ │ └── tests/
|
||||
│ │
|
||||
│ ├── trading-service/ # Trading service
|
||||
│ │ ├── Dockerfile
|
||||
│ │ ├── requirements.txt
|
||||
│ │ ├── src/
|
||||
│ │ └── tests/
|
||||
│ ...
|
||||
│ └── data-service/ # Data service
|
||||
│ ├── Dockerfile
|
||||
│ ├── requirements.txt
|
||||
│ ├── src/
|
||||
│ └── tests/
|
||||
│
|
||||
├── libs/ # Shared libraries
|
||||
│ ├── common/ # Common modules
|
||||
│ │ ├── utils/
|
||||
│ │ └── models/
|
||||
│ ├── external/ # Third-party libraries (immutable, call only)
|
||||
│ └── database/ # Database access library
|
||||
│
|
||||
├── infrastructure/ # Infrastructure
|
||||
│ ├── terraform/ # Cloud resource definition
|
||||
│ ├── kubernetes/ # K8s configuration
|
||||
│ └── nginx/ # Reverse proxy configuration
|
||||
│
|
||||
└── monitoring/ # Monitoring system
|
||||
├── prometheus/ # Metrics collection
|
||||
├── grafana/ # Visualization
|
||||
└── alertmanager/ # Alerts
|
||||
```
|
||||
|
||||
**Use Cases**: Microservice architecture, large projects, team collaboration
|
||||
|
||||
---
|
||||
|
||||
## 4️⃣ Standard Structure for Full-Stack Web Applications
|
||||
|
||||
```
|
||||
project_name/
|
||||
├── README.md
|
||||
├── LICENSE
|
||||
├── .gitignore
|
||||
├── docker-compose.yml # Frontend and backend orchestration
|
||||
├── CLAUDE.md # Claude persistent context
|
||||
├── AGENTS.md # Codex persistent context
|
||||
├── Sublime-Text.txt # This is a file, for requirements and notes, for self-reference, and CLI session recovery commands ^_^
|
||||
│
|
||||
├── frontend/ # Frontend directory
|
||||
│ ├── public/ # Static assets
|
||||
│ ├── src/ # Source code
|
||||
│ │ ├── components/ # React/Vue components
|
||||
│ │ ├── pages/ # Pages
|
||||
│ │ ├── store/ # State management
|
||||
│ │ └── utils/ # Utilities
|
||||
│ ├── package.json # NPM dependencies
|
||||
│ └── vite.config.js # Build configuration
|
||||
│
|
||||
└── backend/ # Backend directory
|
||||
├── requirements.txt
|
||||
├── Dockerfile
|
||||
├── src/
|
||||
│ ├── api/ # API interfaces
|
||||
│ ├── core/ # Business logic
|
||||
│ │ └── models/ # Data models
|
||||
└── tests/
|
||||
```
|
||||
|
||||
**Use Cases**: Full-stack applications, SPA single-page applications, frontend/backend separated projects
|
||||
|
||||
---
|
||||
|
||||
## 📌 Core Design Principles
|
||||
|
||||
### 1. Separation of Concerns
|
||||
```
|
||||
API → Service → Data Access → Database
|
||||
Clear at a glance, clear hierarchy
|
||||
```
|
||||
|
||||
### 2. Testability
|
||||
```
|
||||
Each module is independently testable
|
||||
Dependencies can be mocked
|
||||
```
|
||||
|
||||
### 3. Configurability
|
||||
```
|
||||
Configuration separated from code
|
||||
Environment variables > Configuration files > Default values
|
||||
```
|
||||
|
||||
### 4. Maintainability
|
||||
```
|
||||
Self-documenting code
|
||||
Reasonable file naming
|
||||
Clear directory structure
|
||||
```
|
||||
|
||||
### 5. Version Control Friendly (Git-Friendly)
|
||||
```
|
||||
data/, logs/, models/ added to .gitignore
|
||||
Only commit source code and configuration examples
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🎯 Best Practice Recommendations
|
||||
|
||||
1. **Use `src/` directory**: Place source code in a dedicated `src` directory to avoid top-level clutter.
|
||||
2. **Relative imports**: Consistently use `from src.module import thing` for imports.
|
||||
3. **Test coverage**: Ensure core business logic has unit and integration tests.
|
||||
4. **Document first**: Write `README.md` for important modules.
|
||||
5. **Environment isolation**: Use virtualenv or conda to create isolated environments.
|
||||
6. **Explicit dependencies**: All dependencies written to `requirements.txt` and versions locked.
|
||||
7. **Configuration management**: Use a combination of environment variables + configuration files.
|
||||
8. **Logging levels**: DEBUG, INFO, WARNING, ERROR, FATAL.
|
||||
9. **Error handling**: Do not swallow exceptions; have a complete error chain.
|
||||
10. **Code style**: Use black for formatting, flake8 for checking.
|
||||
|
||||
---
|
||||
|
||||
## 🔥 .gitignore Recommended Template
|
||||
|
||||
```gitignore
|
||||
# Python
|
||||
__pycache__/
|
||||
*.py[cod]
|
||||
*$py.class
|
||||
*.so
|
||||
.Python
|
||||
*.egg-info/
|
||||
dist/
|
||||
build/
|
||||
|
||||
# Environment
|
||||
.env
|
||||
.venv/
|
||||
env/
|
||||
venv/
|
||||
ENV/
|
||||
|
||||
# IDE
|
||||
.vscode/
|
||||
.idea/
|
||||
*.swp
|
||||
*.swo
|
||||
*~
|
||||
|
||||
# Data
|
||||
data/
|
||||
*.csv
|
||||
*.json
|
||||
*.db
|
||||
*.sqlite
|
||||
*.duckdb
|
||||
|
||||
# Logs
|
||||
logs/
|
||||
*.log
|
||||
|
||||
# Models
|
||||
models/
|
||||
*.h5
|
||||
*.pkl
|
||||
|
||||
# Temporary files
|
||||
tmp/
|
||||
temp/
|
||||
*.tmp
|
||||
.DS_Store
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 📚 Technology Selection Reference
|
||||
|
||||
| Scenario | Recommended Tech Stack |
|
||||
| :------- | :--------------------- |
|
||||
| Web API | FastAPI + Pydantic + SQLAlchemy |
|
||||
| Data Processing | Pandas + NumPy + Polars |
|
||||
| Machine Learning | Scikit-learn + XGBoost + LightGBM |
|
||||
| Deep Learning | PyTorch + TensorFlow |
|
||||
| Databases | PostgreSQL + Redis |
|
||||
| Message Queue | RabbitMQ / Kafka |
|
||||
| Task Queue | Celery |
|
||||
| Monitoring | Prometheus + Grafana |
|
||||
| Deployment | Docker + Docker Compose |
|
||||
| CI/CD | GitHub Actions / GitLab CI |
|
||||
|
||||
---
|
||||
|
||||
## 📝 File Template Examples
|
||||
|
||||
### requirements.txt
|
||||
```txt
|
||||
# Core dependencies
|
||||
fastapi==0.104.1
|
||||
uvicorn[standard]==0.24.0
|
||||
pydantic==2.5.0
|
||||
|
||||
# Database
|
||||
sqlalchemy==2.0.23
|
||||
alembic==1.12.1
|
||||
psycopg2-binary==2.9.9
|
||||
|
||||
# Testing
|
||||
pytest==7.4.3
|
||||
pytest-cov==4.1.0
|
||||
pytest-asyncio==0.21.1
|
||||
|
||||
# Utilities
|
||||
python-dotenv==1.0.0
|
||||
loguru==0.7.2
|
||||
|
||||
# Development (optional)
|
||||
black==23.11.0
|
||||
flake8==6.1.0
|
||||
mypy==1.7.1
|
||||
```
|
||||
|
||||
### pyproject.toml (Recommended for modern Python projects)
|
||||
```toml
|
||||
[project]
|
||||
name = "Project Name"
|
||||
version = "0.1.0"
|
||||
description = "Project Description"
|
||||
authors = [{name = "Author", email = "email@example.com"}]
|
||||
dependencies = [
|
||||
"fastapi>=0.104.0",
|
||||
"uvicorn[standard]>=0.24.0",
|
||||
"sqlalchemy>=2.0.0",
|
||||
]
|
||||
|
||||
[project.optional-dependencies]
|
||||
dev = ["pytest", "black", "flake8", "mypy"]
|
||||
|
||||
[build-system]
|
||||
requires = ["setuptools", "wheel"]
|
||||
build-backend = "setuptools.build_meta"
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## ✅ New Project Checklist
|
||||
|
||||
When starting a new project, ensure the following are completed:
|
||||
|
||||
- [ ] Create README.md, including project overview and usage instructions.
|
||||
- [ ] Create LICENSE file, clarifying the open-source license.
|
||||
- [ ] Set up Python virtual environment (venv/conda).
|
||||
- [ ] Create requirements.txt and lock dependency versions.
|
||||
- [ ] Create .gitignore, excluding sensitive and unnecessary files.
|
||||
- [ ] Create .env.example, explaining required environment variables.
|
||||
- [ ] Design directory structure, adhering to the principle of separation of concerns.
|
||||
- [ ] Create basic configuration files.
|
||||
- [ ] Set up code formatter (black).
|
||||
- [ ] Set up code checker (flake8/ruff).
|
||||
- [ ] Write the first test case.
|
||||
- [ ] Set up Git repository and commit initial code.
|
||||
- [ ] Create CHANGELOG.md, recording version changes.
|
||||
|
||||
---
|
||||
|
||||
In **programming / software development**, **Project Architecture / Software Architecture** refers to:
|
||||
|
||||
> **The design solution for how a project is broken down, organized, communicated, and evolved at the "overall level"**
|
||||
> —it determines how code is layered, how modules are divided, how data flows, and how the system expands and is maintained.
|
||||
|
||||
---
|
||||
|
||||
## One-Sentence Understanding
|
||||
|
||||
**Project Architecture = Deciding "where the code goes, how modules connect, and how responsibilities are divided" before writing any specific business code.**
|
||||
|
||||
---
|
||||
|
||||
## I. What Problems Does Project Architecture Primarily Solve?
|
||||
|
||||
Project architecture is not about "coding skills," but about solving these **higher-level problems**:
|
||||
|
||||
* 📦 How to organize code to avoid chaos?
|
||||
* 🔁 How do modules communicate?
|
||||
* 🧱 Which parts can be modified independently without affecting the whole?
|
||||
* 🚀 How will the project be extended in the future?
|
||||
* 🧪 How to facilitate testing, debugging, and deployment?
|
||||
* 👥 How to collaborate without stepping on each other's code?
|
||||
|
||||
---
|
||||
|
||||
## II. What Does Project Architecture Generally Include?
|
||||
|
||||
### 1️⃣ Directory Structure (Most Intuitive)
|
||||
|
||||
```text
|
||||
project/
|
||||
├── src/
|
||||
│ ├── main/
|
||||
│ ├── services/
|
||||
│ ├── models/
|
||||
│ ├── utils/
|
||||
│ └── config/
|
||||
├── tests/
|
||||
├── docs/
|
||||
└── README.md
|
||||
```
|
||||
|
||||
👉 Determines **"where different types of code are placed"**.
|
||||
|
||||
---
|
||||
|
||||
### 2️⃣ Layered Design (Core)
|
||||
|
||||
The most common is **Layered Architecture**:
|
||||
|
||||
```text
|
||||
Presentation Layer (UI / API)
|
||||
↓
|
||||
Business Logic Layer (Service)
|
||||
↓
|
||||
Data Access Layer (DAO / Repository)
|
||||
↓
|
||||
Database / External Systems
|
||||
```
|
||||
|
||||
**Rules:**
|
||||
|
||||
* Upper layers can call lower layers.
|
||||
* Lower layers cannot depend on upper layers.
|
||||
|
||||
---
|
||||
|
||||
### 3️⃣ Module Partitioning (Responsibility Boundaries)
|
||||
|
||||
For example, a trading system:
|
||||
|
||||
```text
|
||||
- market_data # Market data
|
||||
- strategy # Strategy
|
||||
- risk # Risk control
|
||||
- order # Order placement
|
||||
- account # Account
|
||||
```
|
||||
|
||||
👉 Each module:
|
||||
|
||||
* Does only one type of thing.
|
||||
* Aims for low coupling, high cohesion.
|
||||
|
||||
---
|
||||
|
||||
### 4️⃣ Data and Control Flow
|
||||
|
||||
* Where does the data come from?
|
||||
* Who is responsible for processing?
|
||||
* Who is responsible for storage?
|
||||
* Who is responsible for external output?
|
||||
|
||||
For example:
|
||||
|
||||
```text
|
||||
WebSocket → Data Cleaning → Indicator Calculation → AI Scoring → SQLite → API → Frontend
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 5️⃣ Technology Selection (Part of Architecture)
|
||||
|
||||
* Programming languages (Python / Java / Go)
|
||||
* Frameworks (FastAPI / Spring / Django)
|
||||
* Communication methods (HTTP / WebSocket / MQ)
|
||||
* Storage (SQLite / Redis / PostgreSQL)
|
||||
* Deployment (Local / Docker / Cloud)
|
||||
|
||||
---
|
||||
|
||||
## III. Common Project Architecture Types (Essential for Beginners)
|
||||
|
||||
### 1️⃣ Monolithic Architecture
|
||||
|
||||
```text
|
||||
One project, one process
|
||||
```
|
||||
|
||||
**Suitable for:**
|
||||
|
||||
* Personal projects
|
||||
* Prototypes
|
||||
* Small systems
|
||||
|
||||
**Advantages:**
|
||||
|
||||
* Simple
|
||||
* Easy to debug
|
||||
|
||||
**Disadvantages:**
|
||||
|
||||
* Difficult to scale later
|
||||
|
||||
---
|
||||
|
||||
### 2️⃣ Layered Architecture (Most Common)
|
||||
|
||||
```text
|
||||
Controller → Service → Repository
|
||||
```
|
||||
|
||||
**Suitable for:**
|
||||
|
||||
* Web backends
|
||||
* Business systems
|
||||
|
||||
---
|
||||
|
||||
### 3️⃣ Modular Architecture
|
||||
|
||||
```text
|
||||
core + plugins
|
||||
```
|
||||
|
||||
**Suitable for:**
|
||||
|
||||
* Pluggable systems
|
||||
* Strategy / indicator systems
|
||||
|
||||
👉 **Very suitable for quant, AI analysis you are doing.**
|
||||
|
||||
---
|
||||
|
||||
### 4️⃣ Microservice Architecture (Advanced)
|
||||
|
||||
```text
|
||||
Each service is an independent process + API communication
|
||||
```
|
||||
|
||||
**Suitable for:**
|
||||
|
||||
* Large teams
|
||||
* High concurrency
|
||||
* Long-term evolution
|
||||
|
||||
❌ **Not recommended for beginners to start with.**
|
||||
|
||||
---
|
||||
|
||||
## IV. Understanding with a "Real Example" (Close to what you are doing now)
|
||||
|
||||
Suppose you are building a **Binance Futures AI Analysis System**:
|
||||
|
||||
```text
|
||||
backend/
|
||||
├── data/
|
||||
│ └── binance_ws.py # Market data subscription
|
||||
├── indicators/
|
||||
│ └── vpvr.py
|
||||
├── strategy/
|
||||
│ └── signal_score.py
|
||||
├── storage/
|
||||
│ └── sqlite_writer.py
|
||||
├── api/
|
||||
│ └── http_server.py
|
||||
└── main.py
|
||||
```
|
||||
|
||||
This is **project architecture design**:
|
||||
|
||||
* Each folder is responsible for one thing.
|
||||
* Replaceable, testable.
|
||||
* Later, if you want to connect a Telegram Bot / Web frontend, you don't need to rewrite the core.
|
||||
|
||||
---
|
||||
|
||||
## V. Common Misconceptions for Beginners ⚠️
|
||||
|
||||
❌ Starting with microservices
|
||||
❌ All code in one file
|
||||
❌ Architecture pursuing "seniority" rather than "maintainability"
|
||||
❌ Starting to write code without clearly thinking about data flow
|
||||
|
||||
---
|
||||
|
||||
## VI. Suggested Learning Path (Very Important)
|
||||
|
||||
If you are learning CS now, this order is highly recommended:
|
||||
|
||||
1. **First write runnable projects (imperfect).**
|
||||
2. **Code becomes messy → then learn architecture.**
|
||||
3. Learn:
|
||||
|
||||
* Module decomposition
|
||||
* Layering
|
||||
* Dependency direction
|
||||
4. Then learn:
|
||||
|
||||
* Design patterns
|
||||
* Microservices / message queues
|
||||
|
||||
---
|
||||
|
||||
**Version**: 1.0
|
||||
**Update Date**: 2025-11-24
|
||||
**Maintained by**: CLAUDE, CODEX, KIMI
|
||||
@@ -0,0 +1,322 @@
|
||||
# 🔗 External Resource Aggregation
|
||||
|
||||
> A collection of high-quality external resources related to Vibe Coding
|
||||
|
||||
---
|
||||
|
||||
<details open>
|
||||
<summary><strong>🎙️ Quality Bloggers/Influencers</strong></summary>
|
||||
|
||||
### 𝕏 (Twitter) Influencers
|
||||
|
||||
| Influencer | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| @shao__meng | [x.com/shao__meng](https://x.com/shao__meng) | |
|
||||
| @0XBard_thomas | [x.com/0XBard_thomas](https://x.com/0XBard_thomas) | |
|
||||
| @Pluvio9yte | [x.com/Pluvio9yte](https://x.com/Pluvio9yte) | |
|
||||
| @xDinoDeer | [x.com/xDinoDeer](https://x.com/xDinoDeer) | |
|
||||
| @geekbb | [x.com/geekbb](https://x.com/geekbb) | |
|
||||
| @GitHub_Daily | [x.com/GitHub_Daily](https://x.com/GitHub_Daily) | |
|
||||
| @BiteyeCN | [x.com/BiteyeCN](https://x.com/BiteyeCN) | |
|
||||
| @CryptoJHK | [x.com/CryptoJHK](https://x.com/CryptoJHK) | |
|
||||
| @rohanpaul_ai | [x.com/rohanpaul_ai](https://x.com/rohanpaul_ai) | |
|
||||
| @DataChaz | [x.com/DataChaz](https://x.com/DataChaz) | |
|
||||
|
||||
### 📺 YouTube Influencers
|
||||
|
||||
| Influencer | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| Best Partners | [youtube.com/@bestpartners](https://www.youtube.com/@bestpartners) | |
|
||||
| 王路飞 | [youtube.com/@王路飞](https://www.youtube.com/@%E7%8E%8B%E8%B7%AF%E9%A3%9E) | |
|
||||
| 即刻风 | [youtube.com/@jidifeng](https://www.youtube.com/@jidifeng) | |
|
||||
| 3Blue1Brown | [youtube.com/@3blue1brown](https://www.youtube.com/@3blue1brown) | Math visualization |
|
||||
| Andrej Karpathy | [youtube.com/andrejkarpathy](https://www.youtube.com/andrejkarpathy) | AI/Deep Learning |
|
||||
|
||||
### 📱 WeChat Video Accounts
|
||||
|
||||
| Influencer | Description |
|
||||
|:---|:---|
|
||||
| 美国的牛粪博士 | |
|
||||
|
||||
### 🎵 Douyin (TikTok)
|
||||
|
||||
| Influencer | Description |
|
||||
|:---|:---|
|
||||
|
||||
</details>
|
||||
|
||||
---
|
||||
|
||||
<details open>
|
||||
<summary><strong>🤖 AI Tools and Platforms</strong></summary>
|
||||
|
||||
### 💬 AI Chat Platforms
|
||||
|
||||
#### Tier 1 (Recommended)
|
||||
|
||||
| Platform | Model | Features |
|
||||
|:---|:---|:---|
|
||||
| [Claude](https://claude.ai/) | Claude Opus 4.5 | Strong code capabilities, supports Artifacts |
|
||||
| [ChatGPT](https://chatgpt.com/) | GPT-5.1 | Strong overall capabilities, supports Codex |
|
||||
| [Gemini](https://gemini.google.com/) | Gemini 3.0 Pro | Large free tier, supports long context |
|
||||
|
||||
#### Domestic Platforms
|
||||
|
||||
| Platform | Model | Features |
|
||||
|:---|:---|:---|
|
||||
| [Kimi](https://kimi.moonshot.cn/) | Kimi K2 | Strong long-text processing |
|
||||
| [Tongyi Qianwen](https://tongyi.aliyun.com/) | Qwen | From Alibaba, free |
|
||||
| [Zhipu Qingyan](https://chatglm.cn/) | GLM-4 | From Zhipu AI |
|
||||
| [Doubao](https://www.doubao.com/) | Doubao | From ByteDance |
|
||||
|
||||
### 🖥️ AI Programming IDEs
|
||||
|
||||
| Tool | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| Cursor | [cursor.com](https://cursor.com/) | AI-native editor, based on VS Code |
|
||||
| Windsurf | [windsurf.com](https://windsurf.com/) | From Codeium |
|
||||
| Kiro | [kiro.dev](https://kiro.dev/) | From AWS, free Claude Opus |
|
||||
| Zed | [zed.dev](https://zed.dev/) | High-performance editor, supports AI |
|
||||
|
||||
### ⌨️ AI CLI Tools
|
||||
|
||||
| Tool | Command | Description |
|
||||
|:---|:---|:---|
|
||||
| Claude Code | `claude` | Anthropic official CLI |
|
||||
| Codex CLI | `codex` | OpenAI official CLI |
|
||||
| Gemini CLI | `gemini` | Google official CLI, free |
|
||||
| Aider | `aider` | Open-source AI pair programming |
|
||||
|
||||
### 🆓 Free Resources
|
||||
|
||||
#### Completely Free
|
||||
|
||||
| Resource | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| AI Studio | [aistudio.google.com](https://aistudio.google.com/) | Google free Gemini |
|
||||
| Gemini CLI | [geminicli.com](https://geminicli.com/) | Free command-line access |
|
||||
| antigravity | [antigravity.google](https://antigravity.google/) | Google free AI service |
|
||||
| Qwen CLI | [qwenlm.github.io](https://qwenlm.github.io/qwen-code-docs/zh/cli/) | Alibaba free CLI |
|
||||
|
||||
#### With Free Tier
|
||||
|
||||
| Resource | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| Kiro | [kiro.dev](https://kiro.dev/) | Free Claude Opus 4.5 |
|
||||
| Windsurf | [windsurf.com](https://windsurf.com/) | Free tier for new users |
|
||||
| GitHub Copilot | [github.com/copilot](https://github.com/copilot) | Free for students/open source |
|
||||
|
||||
### 🎨 AI Generation Tools
|
||||
|
||||
| Type | Tool | Link |
|
||||
|:---|:---|:---|
|
||||
| Image | Midjourney | [midjourney.com](https://midjourney.com/) |
|
||||
| Image | DALL-E 3 | [ChatGPT](https://chatgpt.com/) |
|
||||
| Music | Suno | [suno.ai](https://suno.ai/) |
|
||||
| Sound | ElevenLabs | [elevenlabs.io](https://elevenlabs.io/) |
|
||||
| Video | Sora | [sora.com](https://sora.com/) |
|
||||
|
||||
</details>
|
||||
|
||||
---
|
||||
|
||||
<details>
|
||||
<summary><strong>👥 Communities and Forums</strong></summary>
|
||||
|
||||
### Telegram
|
||||
|
||||
| Community | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| Vibe Coding Discussion Group | [t.me/glue_coding](https://t.me/glue_coding) | |
|
||||
| Vibe Coding Channel | [t.me/tradecat_ai_channel](https://t.me/tradecat_ai_channel) | |
|
||||
|
||||
### Discord
|
||||
|
||||
| Community | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| Cursor Discord | [discord.gg/cursor](https://discord.gg/cursor) | |
|
||||
| Anthropic Discord | [discord.gg/anthropic](https://discord.gg/anthropic) | |
|
||||
|
||||
### X (Twitter)
|
||||
|
||||
| Community | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| Vibe Coding Community | [x.com/communities](https://x.com/i/communities/1993849457210011871) | |
|
||||
| Community Content Aggregation | [x.com/vibeverything](https://x.com/vibeverything/status/1999796188053438687) | |
|
||||
|
||||
</details>
|
||||
|
||||
---
|
||||
|
||||
<details>
|
||||
<summary><strong>📝 Prompt Resources</strong></summary>
|
||||
|
||||
### Prompt Libraries
|
||||
|
||||
| Resource | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| Online Prompt Table | [Google Sheets](https://docs.google.com/spreadsheets/d/1ngoQOhJqdguwNAilCl1joNwTje7FWWN9WiI2bo5VhpU/edit?gid=2093180351#gid=2093180351&range=A1) | Recommended |
|
||||
| Meta Prompt Library | [Google Sheets](https://docs.google.com/spreadsheets/d/1ngoQOhJqdguwNAilCl1joNwTje7FWWN9WiI2bo5VhpU/edit?gid=1770874220#gid=1770874220) | |
|
||||
| System Prompts Repository | [GitHub](https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools) | |
|
||||
| Awesome ChatGPT Prompts | [GitHub](https://github.com/f/awesome-chatgpt-prompts) | |
|
||||
|
||||
### Prompt Tools
|
||||
|
||||
| Tool | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| Skills Maker | [GitHub](https://github.com/yusufkaraaslan/Skill_Seekers) | Generates customized Skills |
|
||||
| LangGPT | [GitHub](https://github.com/langgptai/LangGPT) | Structured prompt framework |
|
||||
|
||||
### Prompt Tutorials
|
||||
|
||||
| Tutorial | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| Prompt Engineering Guide | [promptingguide.ai](https://www.promptingguide.ai/zh) | Chinese version |
|
||||
| Learn Prompting | [learnprompting.org](https://learnprompting.org/zh-Hans/) | Chinese version |
|
||||
| OpenAI Prompt Engineering | [platform.openai.com](https://platform.openai.com/docs/guides/prompt-engineering) | Official |
|
||||
| Anthropic Prompt Engineering | [docs.anthropic.com](https://docs.anthropic.com/claude/docs/prompt-engineering) | Official |
|
||||
| State-Of-The-Art Prompting | [Google Docs](https://docs.google.com/document/d/11tBoylc5Pvy8wDp9_i2UaAfDi8x02iMNg9mhCNv65cU/) | YC Top Tips |
|
||||
| Vibe Coding 101 | [Google Drive](https://drive.google.com/file/d/1OMiqUviji4aI56E14PLaGVJsbjhOP1L1/view) | Beginner's Guide |
|
||||
|
||||
</details>
|
||||
|
||||
---
|
||||
|
||||
<details>
|
||||
<summary><strong>🐙 GitHub Featured Repositories</strong></summary>
|
||||
|
||||
### CLI Tools
|
||||
|
||||
| Repository | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| claude-code | [GitHub](https://github.com/anthropics/claude-code) | Anthropic official CLI |
|
||||
| aider | [GitHub](https://github.com/paul-gauthier/aider) | AI pair programming tool |
|
||||
| gpt-engineer | [GitHub](https://github.com/gpt-engineer-org/gpt-engineer) | Natural language code generation |
|
||||
| open-interpreter | [GitHub](https://github.com/OpenInterpreter/open-interpreter) | Local code interpreter |
|
||||
| continue | [GitHub](https://github.com/continuedev/continue) | Open-source AI code assistant |
|
||||
| spec-kit | [GitHub](https://github.com/github/spec-kit) | GitHub official Spec-Driven development toolkit |
|
||||
|
||||
### IDE Plugins
|
||||
|
||||
| Repository | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| copilot.vim | [GitHub](https://github.com/github/copilot.vim) | GitHub Copilot Vim plugin |
|
||||
| codeium | [GitHub](https://github.com/Exafunction/codeium.vim) | Free AI code completion |
|
||||
|
||||
### Prompt Engineering
|
||||
|
||||
| Repository | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| awesome-chatgpt-prompts | [GitHub](https://github.com/f/awesome-chatgpt-prompts) | ChatGPT prompt collection |
|
||||
| awesome-chatgpt-prompts-zh | [GitHub](https://github.com/PlexPt/awesome-chatgpt-prompts-zh) | Chinese prompts |
|
||||
| system-prompts-and-models-of-ai-tools | [GitHub](https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools) | AI tool system prompts |
|
||||
| LangGPT | [GitHub](https://github.com/langgptai/LangGPT) | Structured prompt framework |
|
||||
|
||||
### Agent Frameworks
|
||||
|
||||
| Repository | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| langchain | [GitHub](https://github.com/langchain-ai/langchain) | LLM application development framework |
|
||||
| autogen | [GitHub](https://github.com/microsoft/autogen) | Multi-Agent conversation framework |
|
||||
| crewai | [GitHub](https://github.com/joaomdmoura/crewAI) | AI Agent collaboration framework |
|
||||
| dspy | [GitHub](https://github.com/stanfordnlp/dspy) | Programmatic LLM framework |
|
||||
| MCAF | [mcaf.managed-code.com](https://mcaf.managed-code.com/) | AI programming framework, defines AGENTS.md specification |
|
||||
|
||||
### MCP Related
|
||||
|
||||
| Repository | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| mcp-servers | [GitHub](https://github.com/modelcontextprotocol/servers) | MCP server collection |
|
||||
| awesome-mcp-servers | [GitHub](https://github.com/punkpeye/awesome-mcp-servers) | MCP resource aggregation |
|
||||
|
||||
### Learning Resources
|
||||
|
||||
| Repository | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| prompt-engineering-guide | [GitHub](https://github.com/dair-ai/Prompt-Engineering-Guide) | Prompt engineering guide |
|
||||
| generative-ai-for-beginners | [GitHub](https://github.com/microsoft/generative-ai-for-beginners) | Microsoft Generative AI tutorial |
|
||||
| llm-course | [GitHub](https://github.com/mlabonne/llm-course) | LLM learning roadmap |
|
||||
|
||||
### Utilities
|
||||
|
||||
| Repository | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| ollama | [GitHub](https://github.com/ollama/ollama) | Local large model runner |
|
||||
| localai | [GitHub](https://github.com/mudler/LocalAI) | Local AI API |
|
||||
| text-generation-webui | [GitHub](https://github.com/oobabooga/text-generation-webui) | Text generation WebUI |
|
||||
|
||||
</details>
|
||||
|
||||
---
|
||||
|
||||
<details>
|
||||
<summary><strong>🔧 Development Tools</strong></summary>
|
||||
|
||||
### IDEs & Editors
|
||||
|
||||
| Tool | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| VS Code | [code.visualstudio.com](https://code.visualstudio.com/) | Mainstream editor |
|
||||
| Cursor | [cursor.com](https://cursor.com/) | AI-native editor |
|
||||
| Neovim | [neovim.io](https://neovim.io/) | Keyboard-centric choice |
|
||||
| LazyVim | [lazyvim.org](https://www.lazyvim.org/) | Neovim configuration framework |
|
||||
| Zed | [zed.dev](https://zed.dev/) | High-performance editor |
|
||||
|
||||
### Terminal Tools
|
||||
|
||||
| Tool | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| Warp | [warp.dev](https://www.warp.dev/) | AI Terminal |
|
||||
| tmux | [GitHub](https://github.com/tmux/tmux) | Terminal multiplexer |
|
||||
| zsh | [ohmyz.sh](https://ohmyz.sh/) | Shell enhancement |
|
||||
|
||||
### Web Frameworks
|
||||
|
||||
| Tool | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| Django | [djangoproject.com](https://www.djangoproject.com/) | Python full-stack Web framework |
|
||||
|
||||
### Database Tools
|
||||
|
||||
| Tool | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| DBeaver | [dbeaver.io](https://dbeaver.io/) | Universal database client |
|
||||
| TablePlus | [tableplus.com](https://tableplus.com/) | Modern database GUI |
|
||||
|
||||
### Visualization Tools
|
||||
|
||||
| Tool | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| Mermaid | [mermaid.js.org](https://mermaid.js.org/) | Text to diagram |
|
||||
| Excalidraw | [excalidraw.com](https://excalidraw.com/) | Hand-drawn style diagrams |
|
||||
| NotebookLM | [notebooklm.google.com](https://notebooklm.google.com/) | AI note-taking tool |
|
||||
|
||||
</details>
|
||||
|
||||
---
|
||||
|
||||
<details>
|
||||
<summary><strong>📖 Tutorials and Courses</strong></summary>
|
||||
|
||||
### Official Documentation
|
||||
|
||||
| Document | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| Claude Documentation | [docs.anthropic.com](https://docs.anthropic.com/) | Anthropic official |
|
||||
| OpenAI Documentation | [platform.openai.com](https://platform.openai.com/docs/) | OpenAI official |
|
||||
| Gemini Documentation | [ai.google.dev](https://ai.google.dev/docs) | Google official |
|
||||
|
||||
### Community Tutorials
|
||||
|
||||
| Tutorial | Link | Description |
|
||||
|:---|:---|:---|
|
||||
| Erge's Java Advanced Path | [javabetter.cn](https://javabetter.cn/) | Development tool configuration tutorials |
|
||||
| Super Individual Resource List | [x.com/BiteyeCN](https://x.com/BiteyeCN/status/2000856243645157387) | |
|
||||
|
||||
</details>
|
||||
|
||||
---
|
||||
|
||||
## 📝 Contribution
|
||||
|
||||
Found good resources? Welcome PRs to supplement!
|
||||
@@ -0,0 +1,149 @@
|
||||
# All available for free download in z-lib
|
||||
|
||||
From Zero to Large Model Development and Fine-tuning: Based on PyTorch and ChatGLM - Wang Xiaohua
|
||||
|
||||
The Principles of Programming: 101 Ways to Improve Code Quality - Isao Ueda
|
||||
|
||||
Generative AI Design Patterns - Valliappa Lakshmanan & Hannes Hapke
|
||||
|
||||
The Mythical Man-Month - Frederick Brooks
|
||||
|
||||
Peopleware (3rd Edition) - Tom DeMarco & Timothy Lister
|
||||
|
||||
The 45 Habits of an Effective Programmer: Agile Development Practices - Andy Hunt & Venkat Subramaniam
|
||||
|
||||
The Art of Project Management - Rothman
|
||||
|
||||
Programming Pearls (Second Edition) - Jon Bentley
|
||||
|
||||
Programming Pearls (2nd Edition) - Jon Bentley
|
||||
|
||||
Programming Principles: Advice from Master Coder Max Kanat-Alexander (Bringing the idea of minimalist design back to computer programming, suitable for software developers, development team managers, and students of software-related majors) (Huazhang Programmer's Library) - Max Kanat-Alexande
|
||||
|
||||
The Art of Readable Code - Dustin Boswell & Trevor Foucher
|
||||
|
||||
Statistical Thinking: Probability and Statistics for Programmers (2nd Edition) - Allen B. Downey
|
||||
|
||||
Mastering Rust (2nd Edition) - Rahul Sharma & Vesa Kaihlavirta
|
||||
|
||||
The Programmer's Superbrain (Turing Programming Library · Programmer Cultivation Series) - Feliane Hermans
|
||||
|
||||
Software Architecture for Programmers - Simon Brown
|
||||
|
||||
The Pragmatic Programmer: Your Journey to Mastery (20th Anniversary Edition) - David Thomas & Andrew Hunt
|
||||
|
||||
Comic Python: Fun, Informative, Interesting, and Practical - Guan Dongsheng
|
||||
|
||||
Chaos Engineering: Building Resilient Systems with Controlled Failure - Mikolaj Pawlikowski_1
|
||||
|
||||
Deep Dive into Python Features - Dann Bader
|
||||
|
||||
Microservices in Action (Technical practical book covering all stages from microservice design to deployment) (Asynchronous Books) - Morgan Bruce & Paul A. Pereira
|
||||
|
||||
Building Big Data Systems: Principles and Best Practices for Scalable Real-time Data Systems - Nathan Marz & James Warren
|
||||
|
||||
Illustrated Performance Optimization (Turing Programming Library) - Keiji Oda & Tanito Kurematsu & Takeshi Hirayama & Kenji Okada
|
||||
|
||||
Turing Programming Series: Introduction to Large-scale Data Processing and Practice (Set of 10 volumes) [Turing出品！A set covering SQL, Python, Spark, Hadoop, Neha Narkhede & Gwen Shapira & Todd Palino & Benjamin Banford & Jenny Kim & Ellen Friedman & Kostas Tzoumas
|
||||
|
||||
Clean Code - Robert C. Martin
|
||||
|
||||
The Essence of Code: Core Concepts of Programming Languages (Turing Programming Library) - Taikazu Nishio
|
||||
|
||||
Design Patterns for Everyone: Understanding Design Patterns from Life - Luo Weifu
|
||||
|
||||
The Rust Programming Language (2nd Edition) - Steve Klabnik & Carol Nichols
|
||||
|
||||
Python for Finance (2nd Edition) - Yves Hilpisch
|
||||
|
||||
Python Scientific Computing Basic Tutorial - Hemant Kumar Mehta_1
|
||||
|
||||
Python Data Mining: Beginner to Practice - Robert Layton
|
||||
|
||||
Python Data Analysis and Algorithm Guide (Set of 8 volumes) - Jiang Xuesong & Zou Jing & Deng Liguo & Zhai Kun & Hu Feng & Zhou Xiaoran & Wang Guoping & Bai Ningchao & Tang Dan & Wen Jun & Zhang Ruoyu & Hong Jinkui
|
||||
|
||||
Python Performance Analysis and Optimization - Fernando Doglio
|
||||
|
||||
Functional Python Programming (2nd Edition) (Turing Books) - Steven Lott_1
|
||||
|
||||
Quantitative Trading in the GPT Era: Underlying Logic and Technical Practice - Luo Yong & Lu Hongbo_1
|
||||
|
||||
ChatGPT Data Analysis Practice - Shi Haoran & Zhao Xin & Wu Zhicheng
|
||||
|
||||
AI Era Python Financial Big Data Analysis Practice: ChatGPT Makes Financial Big Data Analysis Soar - Guan Dongsheng
|
||||
|
||||
Cross-Market Trading Strategies - John J. Murphy
|
||||
|
||||
Asset Pricing and Machine Learning - Wu Ke
|
||||
|
||||
Engineering Thinking - Mark N. Horenstein
|
||||
|
||||
The Programmer's Brain: What Every Programmer Needs to Know About Cognitive Science - Felienne Hermans
|
||||
|
||||
The Pragmatic Programmer: Your Journey To Mastery, 20th Anniversary Edition [This book revolutionized countless software careers! And propelled the entire IT industry to where it is today! The 20-year anniversary edition is here!] - David Thomas & Andrew Hunt
|
||||
|
||||
Thinking, Fast and Slow - Daniel Kahneman (This is the closest match, original is "不确定状况下的判断：启发式和偏差 - 丹尼尔·卡尼曼" which translates to "Judgment under uncertainty: Heuristics and biases - Daniel Kahneman" which is a key work in the field covered by Thinking, Fast and Slow)
|
||||
|
||||
The Beauty of Simplicity: The Art of Software Design - Max Kanant-Alexander
|
||||
|
||||
The Programmer's Underlying Thinking - Zhang Jianfei
|
||||
|
||||
The Programmer's Three Courses: Technical Advancement, Architecture Cultivation, Management Exploration - Yu Junze
|
||||
|
||||
Designing Machine Learning Systems (Turing Programming Library) - Willi Richert & Luis Pedro Coelho
|
||||
|
||||
Introduction to Thought Engineering - Qian Xiaoyi
|
||||
|
||||
Algorithmic Essentials: Python Implementations of Classic Computer Science Problems - David Kopec
|
||||
|
||||
Functional Thinking (Turing Programming Library) - Neal Ford
|
||||
|
||||
Effective Python: 90 Specific Ways to Write Better Python (2nd Edition) (Effective Series) - Brett Slatkin
|
||||
|
||||
High-Frequency Trading (2nd Edition) - Irene Aldridge
|
||||
|
||||
Flash Boys: A Wall Street Revolt - Michael Lewis
|
||||
|
||||
Principles of Financial Economics (6th Edition) - Peng Xingyun
|
||||
|
||||
The Smart Investor's First Book of Financial Common Sense - Xiao Yuhong
|
||||
|
||||
Visualizing Quantitative Finance - Michael Lovelady
|
||||
|
||||
Quantitative Trading in the GPT Era: Underlying Logic and Technical Practice - Luo Yong & Lu Hongbo
|
||||
|
||||
Turing Classic Computer Science Series (Set of 4 volumes) - Hisao Yazawa & Tsutomu Togane & Akira Hirasawa
|
||||
|
||||
201 Principles of Software Development - Alan M. Davis
|
||||
|
||||
The Programmer's AI Book: Starting from Code - Zhang Like & Pan Hui
|
||||
|
||||
The Nature of Computation: Exploring the Depths of Programs and Computers - Tom Stuart
|
||||
|
||||
The Programmer's Investment Guide - Stefan Papp
|
||||
|
||||
Mastering Regular Expressions (3rd Edition) - Jeffrey E.F. Friedl
|
||||
|
||||
Leveraging ChatGPT for Data Analysis and Mining - Xie Jiabiao
|
||||
|
||||
Industrial Artificial Intelligence Trilogy (Set of Three Volumes) (Collection of works by world-class intelligent manufacturing experts) (Named "Top 30 Most Visionary Smart Manufacturing Figures in the US" by SME in 2016) - Li Jie
|
||||
|
||||
Building Large Models from Scratch: Algorithms, Training, and Fine-tuning - Liang Nan
|
||||
|
||||
Vibe Coding_ Building Production-Grade Software With GenAI, Chat, Agents, and Beyond - Gene Kim & Steve Yegge
|
||||
|
||||
Vibe Coding AI Programming Complete Manual - Tan Xingxing
|
||||
|
||||
Computer Science: An Overview (13th Edition) - J. Glenn Brookshear & Dennis Brylow
|
||||
|
||||
Pro Git (Chinese Edition) - Scott Chacon & Ben Straub
|
||||
|
||||
Think Like a Programmer - V. Anton Spraul
|
||||
|
||||
Core Python Programming (3rd Edition) - Wesley Chun_1
|
||||
|
||||
AI Engineering: Building Applications from Foundation Models - Chip Huyen
|
||||
|
||||
AI-Assisted Programming in Action - Tom Taulli
|
||||
|
||||
Code: The Hidden Language of Computer Hardware and Software - Charles Petzold
|
||||
@@ -0,0 +1,5 @@
|
||||
IDE and plugins; VSCode, Windsurf (free use), Shandiashuo (for output), Continue - open-source AI code agent, Local History, Partial Diff
|
||||
|
||||
Models; Codex, Gemini, KimiK2, Grok
|
||||
|
||||
Websites; https://aistudio.google.com/; https://zread.ai/; https://chatgpt.com/; https://github.com; https://www.bilibili.com; https://www.mermaidchart.com/app/dashboard; https://notebooklm.google.com/; https://z-lib.fm/; https://docs.google.com/spreadsheets/u/0/; https://script.google.com/home?pli=1
|
||||
Reference in New Issue
Block a user