Python Tools for Science and Engineering

Python Tools for Science and Engineering 

The following are selected Python tools for science and engineering 

Web App Development

1. Flask - for building web apps - install - resources
2. Django - web framework (Google) - install - resources

Engineering and Science

1. SciPy - packages for mathematics, science, and engineering.
2. Pandas -  data analysis and modelling library. Tutorial.
3. Numpy - Numerical computing and analysis.
4. NLP - Natural Language Processing library, together with sub-libraries, used to build applications and services that can understand and analyse human languages and data.
5. Matplotlib - create charts and visualizations, see also Seaborn

Computing

1. SQLAlchemy - managing SQL databases
2. TensorFlow  - Artificial Intelligence applications
3. Keras - neural networks and machine learning

Data Science libraries