Using Web Frameworks for Scientific Applications

Contents:

• Using Web Frameworks for Scientific Applications
• Web frameworks
  • Other frameworks
• Making a Flask application
  • Programming the Flask application
  • Equipping the input page with output results
  • Splitting the app into model, view, and controller files
  • Troubleshooting
• Making a Django application
  • Setting up a Django project
  • Setting up a Django application
  • Programming the Django application
  • Equipping the input page with output results
• Handling multiple input variables in Flask
  • Programming the Flask application
  • Implementing error checking in the template
  • Using style sheets
  • Using LaTeX mathematics
  • Rearranging the elements in the HTML template
  • Bootstrap HTML style
  • Custom validation
  • Avoiding plot files
  • Plotting with the Bokeh library
  • Autogenerating the code
  • User login and storage of computed results
  • Uploading of files
• Handling multiple input variables in Django
  • Programming the Django application
  • Custom validation
  • Customizing widgets
  • Resources
• Exercises
  • Exercise 1: Add two numbers
  • Exercise 2: Upload data file and visualize curves
  • Exercise 3: Plot a user-specified formula
  • Exercise 4: Visualize Taylor polynomial approximations
  • Exercise 5: Extend the gen app
  • Exercise 6: Make a web app with multiple apps
  • Exercise 7: Equip the gen app with more data types
  • Exercise 8: Auto-generate code from function signature
  • Project 9: Interactive function exploration
• Resources
  • Flask resources
  • Django resources

Index

• Index