Python Tools for Science and Engineering
The following are selected Python tools for science and engineeringWeb App Development
- Flask - for building web apps - install - resources
- Django - web framework (Google) - install - resources
Engineering and Science
- SciPy - packages for mathematics, science, and engineering.
- Pandas - data analysis and modelling library. Tutorial.
- Numpy - Numerical computing and analysis.
- NLP - Natural Language Processing library, together with sub-libraries, used to build applications and services that can understand and analyse human languages and data.
- Matplotlib - create charts and visualizations, see also Seaborn
Computing
- SQLAlchemy - managing SQL databases
- TensorFlow - Artificial Intelligence applications
- Keras - neural networks and machine learning
Data Science libraries