Summary
Most of what we explained in this book is bundled into the three longer examples of this chapter. They mimic code development and give prototypes, which you are encouraged to alter and confront with your own ideas.
You saw that code in scientific computing can have its own flavor due to its strong relation with mathematically defined algorithms and that it is often wise to keep the relationship between code and formula visible. Python has techniques for this, as you have seen.
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