Pkynetics

Added
- Code of Conduct following the Contributor Covenant
- Contributing guidelines and templates for standardizing contributions
- Security policy for vulnerability reporting
- Issue templates for bug reports, documentation issues, and feature requests
- GitHub Actions workflow for automated testing and publishing
- New plotting functions for dilatometry data visualization
- Enhanced dilatometry analysis functions for extrapolation and transformation calculations

Fixed
- Import path issues across examples and modules

Changed
- Reorganized and standardized imports across all modules
- Improved code formatting consistency throughout the project
- Enhanced documentation structure and clarity
- Updated type annotations and docstrings across modules

Added
- New technique_analysis module for specific thermal analysis methods
- Comprehensive dilatometry analysis capabilities
- Enhanced visualization with detailed annotations
- Automatic margin optimization for linear fitting
- Quality metrics for analysis validation

Changed
- Reorganized code structure for better modularity
- Improved separation of preprocessing and analysis functions
- Enhanced error handling and input validation
- Better organization of helper functions
- Improved visualization capabilities

Fixed
- Better handling of edge cases in analysis methods
- Improved accuracy in transformation point detection
- Enhanced robustness of linear segment fitting

Added
- New `kissinger_nonlinear_eq` function for enhanced non-isothermal kinetics analysis
- Enhanced calculations in the Kissinger method for improved accuracy and robustness
- Five new plotting functions for better visualization of kinetic analysis data

Changed
- Updated dependency specifications for improved functionality:
- Removed dependencies on tensorflow and torch
- Streamlined package requirements
- Improved data handling and filtering processes within kinetic analysis methods

Fixed
- Improved error handling in the Kissinger method to ensure positive peak temperatures and heating rates
- Minor formatting improvements in test files for better readability

Changed
- Significantly improved documentation for all modules and methods
- Enhanced clarity and structure of method descriptions
- Added more detailed usage examples and notes for each method
- Improved cross-referencing between related methods and visualization functions

Added
- New plotting functions in the `result_visualization` module:
- `plot_arrhenius`
- `plot_conversion_vs_temperature`
- `plot_derivative_thermogravimetry`
- `plot_activation_energy_vs_conversion`
- `plot_avrami_results`
- Enhanced public API for visualization functions in `result_visualization/__init__.py`

Changed
- Improved data handling and filtering processes in kinetic analysis methods
- Streamlined plotting and data generation functions for better organization

Fixed
- Enhanced accuracy of kinetic analysis methods through improved data handling

Added
- Initial release of Pkynetics library
- Data import module:
- Support for TGA data import from TA Instruments, Mettler Toledo, Netzsch, and Setaram
- Support for DSC data import from TA Instruments, Mettler Toledo, Netzsch, and Setaram
- Custom importer for flexible data import
- Model fitting methods:
- Avrami method for isothermal crystallization kinetics
- Kissinger method for non-isothermal kinetics analysis
- Coats-Redfern method for kinetic analysis
- Freeman-Carroll method for non-isothermal kinetics analysis
- Horowitz-Metzger method for kinetic analysis
- Basic documentation and examples for each implemented method
- Unit tests for data import and model fitting methods