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@HumphreyYang @HengchengZhang please review ~ many thanks in advance |
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@chappiewuzefan If resolving conflicts look hard, just do the following:
Please let me know if you need help from me in doing this. |
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done, please have a look ~ |
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Hi @chappiewuzefan, I've made some changes and please have a loot at them. |
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Many thanks @chappiewuzefan for the great work! Please kindly check my comments above. There are some rules that we follow across lectures to maintain a consistent style. If you are not sure how to improve some of the comments I made, you can always open up a lecture and have a look at how it was written or ping me when you need some help. I think the lecture on |
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@HumphreyYang Thanks for your comments! Please have a look again |
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Many thanks @chappiewuzefan for the updates. Great work!
I will make these changes and iterate from here : )
lectures/symbolic_sympy.md
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| width: 10% | ||
| --- | ||
| # Simplify an expression | ||
| simplified_expr = simplify(expr) |
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I think you mean simplify(eq)?
lectures/symbolic_sympy.md
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| from sympy import symbols, init_printing | ||
| from sympy import Eq, solve | ||
| from sympy import simplify | ||
| from sympy import limit | ||
| from sympy import diff | ||
| from sympy import integrate |
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we can simply use from sympy import *
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This PR has been migrated to QuantEcon/lecture-python-programming#284. |
symbolic_sympy, simple application based on https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/equalizing_difference.md, solve #189 (comment)