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f5e2241d8848f9714c95e4f99428f546
mooc-rr
Commits
496f580a
Commit
496f580a
authored
Jul 07, 2020
by
Dorinel Bastide
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Final minor changes, managed to obtained indeed solution results as per questions
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362372f2
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toy_document_orgmode_python_en.org
module2/exo1/toy_document_orgmode_python_en.org
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module2/exo1/toy_document_orgmode_python_en.org
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496f580a
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@@ -44,6 +44,7 @@ A method that is easier to understand and does not make use of the $\sin$ functi
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@@ -44,6 +44,7 @@ A method that is easier to understand and does not make use of the $\sin$ functi
import matplotlib
import matplotlib
matplotlib.use('Agg')
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.pyplot as plt
np.random.seed(seed=42)
np.random.seed(seed=42)
N = 1000
N = 1000
x = np.random.uniform(size=N, low=0, high=1)
x = np.random.uniform(size=N, low=0, high=1)
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@@ -69,7 +70,6 @@ C:/Users/Utilisateur/mooc-rr/module2/exo1/PictureRes.png]]
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@@ -69,7 +70,6 @@ C:/Users/Utilisateur/mooc-rr/module2/exo1/PictureRes.png]]
It is then straightforward to obtain a (not really good) approximation to $\pi$ by counting how many times, on average, $X^2 + Y^2$ is smaller than 1:
It is then straightforward to obtain a (not really good) approximation to $\pi$ by counting how many times, on average, $X^2 + Y^2$ is smaller than 1:
#+begin_src python :results output :session *python* :exports both
#+begin_src python :results output :session *python* :exports both
import numpy as np
4*np.mean(accept)
4*np.mean(accept)
#+end_src
#+end_src
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