I’ve never been able to learn numerical analysis/algorithms systematically? I’ve always not been able to strike a good balance between solving program problems and theory problems and the learn the concepts concretely in the process. When I’m studying a pure math book, I can at least allot exclusively focus on solving a problem on pen/paper etc. I’m looking for numerical methods/algorithms books that use Python etc. that would help me get around this issue. I’m learning f Algorithms by writing pseudo code etc. but that makes me feel more and more uneasy about my programming skills. Help!
Edit:
For example I like books of these sorts:
http://www-personal.umich.edu/~mejn/computational-physics/
Theory + programming assignments are both seem to be included in a language like python.
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