In 3D modeling, a point cloud is a set of data points in a 3D coordinate system—commonly known as the XYZ axes.
https://en.wikipedia.org/wiki/Point_cloud
In 3D modeling, a point cloud is a set of data points in a 3D coordinate system—commonly known as the XYZ axes.
https://en.wikipedia.org/wiki/Point_cloud
PostGIS extends the capabilities of the PostgreSQL relational database by adding support for storing, indexing, and querying geospatial data.
From my experience, ChatGPT is good at linguistic tasks but math while Gemini is opposite.
Mean Absolute Percentage Error (MAPE)
The formula is:
MAPE=n1t=1∑n(∣yt∣∣yt−yt^∣)×100Where:
The formula for sMAPE is:
sMAPE=n1t=1∑n2∣yt∣+∣yt^∣∣yt−yt^∣×100Where:
MASE is calculated as the ratio of the mean absolute error of the forecasting model to the mean absolute error of a naive forecasting model. A "naive" model, in this context, refers to a model that simply uses the previous value as the forecast value for the next time period (e.g., for time series data) i.e. เอาค่าจริงที่ t-1 มาเป็นค่า forecast ที่ t.
The formula for MASE is:
Where:
1. Type Safety & Reliability
- Static typing catches errors at compile-time rather than run time error as in Python
- Stronger type checking
- Less runtime surprises
- Better for large codebases
- Clearer code contracts
2. Performance
- Faster execution speed
- True multithreading (no GIL)
- Better memory management
- More efficient for CPU-intensive tasks
- Better scalability
3. Enterprise Features
- Robust frameworks (Spring)
- Better security features
- Strong enterprise tooling
- Better transaction management
- Industry-standard enterprise solutions
4. Team Development
- Easier to maintain in large teams
- Better code organization
- Clearer package structure
- Enhanced refactoring capabilities
- Better for modular development
5. Tools & IDE Support
- Superior debugging tools
- Better code analysis
- More sophisticated IDEs
- Better profiling tools
- Comprehensive development environments
6. Stability & Maintenance
- Better backward compatibility
- Longer support cycles
- More stable ecosystem
- Clearer deprecation paths
- Better for long-term projects
7. Security
- Built-in security manager
- Better access control
- Enterprise-grade security
- More secure by design
- Better authentication/authorization
8. Documentation & Standards
- More standardized practices
- Better documentation
- Clearer coding standards
- Industry-wide best practices
- More consistent coding patterns
This makes Java particularly suitable for:
- Enterprise applications
- Large-scale systems
- Mission-critical software
- Long-term projects
- Team-based development
While Python excels in:
- Rapid prototyping
- Data science
- Script automation
- Small to medium projects
- Quick development cycles
Because it lacks extensibility and maintainability unlike Java language.