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Cores to Code Jupyter-book - Home Cores to Code Jupyter-book - Home
  • Welcome to cores2code!
  • Motivation
  • 01: Python Basics Notebook
  • 02: Python Basics continued, and Arrays and Lists
  • 03: More Complex Algorithms
  • 04: Discussing Efficiency - Peasant Multiplication Test
  • 05: Towards Numerical Computing: Linear least squares regression
  • 06: Repeating code: Use Functions! Testing algorithms to decide if a number is prime
  • 07: Introduction to 2D Array Slicing in NumPy
  • 08: It Has to Come From Somewhere, Data Input/Output
  • 09: Let’s put it all together – ruptures and their deformation models
  • 10: Which models work and which don’t?
  • Conclusion
  • Repository
  • Open issue

Index

By Diego Melgar, Valerie J. Sahakian, Loïc Bachelot, and Shannon Fasola

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