This project is focused on analyzing titration data using Python. The goal is to process, visualize, and interpret the data to gain insights into chemical reactions and their properties.
- Data preprocessing and cleaning
- Visualization of titration curves
- Calculation of key parameters such as equivalence points
- Support for multiple data formats
- Python 3.8 or higher
- Jupyter Notebook
- Required Python libraries (see below)
- Clone this repository to your local machine:
git clone https://github.com/Deeja-ish/python_titration.git
- Navigate to the project directory:
cd python_titration - Install the required Python libraries:
pip install -r requirements.txt
- Open the Jupyter Notebook:
titration.ipynb
- Follow the instructions in the notebook to load your data and run the analysis.
Contributions are welcome! Please fork the repository and submit a pull request with your changes.
This project is licensed under the MIT License.