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b183e591f74e0007f82bee0ad8982b16
mooc-rr
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70c5e238
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70c5e238
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Jul 09, 2025
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b183e591f74e0007f82bee0ad8982b16
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#+TITLE: "À propos de pi"
#+TITLE: "À propos de pi"
#+AUTHOR:
Your name
#+AUTHOR:
JK
#+DATE:
Today's date
#+DATE:
2025-July
#+LANGUAGE: en
#+LANGUAGE: en
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Some explanations
* Use R cose for write this part
#+begin_src R :results output :exports both
print("Hello world!!!!")
#+end_src
This is an org-mode document with code examples in R. Once opened in
#+RESULTS:
Emacs, this document can easily be exported to HTML, PDF, and Office
: [1] "Hello world!!!!"
formats. For more information on org-mode, see
https://orgmode.org/guide/.
When you type the shortcut =C-c C-e h o=, this document will be
exported as HTML. All the code in it will be re-executed, and the
results will be retrieved and included into the exported document. If
you do not want to re-execute all code each time, you can delete the #
and the space before ~#+PROPERTY:~ in the header of this document.
Like we showed in the video, R code is included as follows (and is
#+begin_src R :results output :session *R* :exports both
exxecuted by typing ~C-c C-c~):
print ("π")
#+end_src
#+begin_src R :results output :exports both
#+RESULTS:
print("Hello world!Hello world!Hello world!")
: [1] 3.141593
What is "aiguilles de Buffon"
"aiguilles de Buffon"
Link [[https://fr.wikipedia.org/wiki/Aiguille_de_Buffon][aiguilles de Buffon]]
* Use Phyton to write this part
Buffon's method
#+begin_src python :results value :session *python* :exports both
pi
#+end_src
#+RESULTS:
: [1] 3.141593
* Write the code that shows the final diagram (Phyton Code)
#+begin_src python :results output :session :exports both
import numpy
x=numpy.linspace(-15,15)
print(x)
#+end_src
#+RESULTS:
#+begin_example
[-15. -14.3877551 -13.7755102 -13.16326531 -12.55102041
-11.93877551 -11.32653061 -10.71428571 -10.10204082 -9.48979592
-8.87755102 -8.26530612 -7.65306122 -7.04081633 -6.42857143
-5.81632653 -5.20408163 -4.59183673 -3.97959184 -3.36734694
-2.75510204 -2.14285714 -1.53061224 -0.91836735 -0.30612245
0.30612245 0.91836735 1.53061224 2.14285714 2.75510204
3.36734694 3.97959184 4.59183673 5.20408163 5.81632653
6.42857143 7.04081633 7.65306122 8.26530612 8.87755102
9.48979592 10.10204082 10.71428571 11.32653061 11.93877551
12.55102041 13.16326531 13.7755102 14.3877551 15. ]
#+end_example
Finally, an example for graphical output:
#+begin_src python :results output file :session :var matplot_lib_filename="./cosxsx.png" :exports results
import matplotlib.pyplot as plt
plt.figure(figsize=(10,5))
plt.plot(x,numpy.cos(x)/x)
plt.tight_layout()
plt.savefig(matplot_lib_filename)
print(matplot_lib_filename)
#+end_src
#+end_src
#+RESULTS:
#+RESULTS:
: [1] "Hello world!"
[[file:./cosxsx.png]]
And now the same but in an R session. This is the most frequent
situation, because R is really an interactive language. With a
session, R's state, i.e. the values of all the variables, remains
persistent from one code block to the next. The code is still executed
using ~C-c C-c~.
* Write the code that shows the final diagram (R Code)
#+begin_src R :results output :session *R* :exports both
#+begin_src R :results output :session *R* :exports both
summary(cars)
summary(cars)
#+end_src
#+end_src
...
@@ -60,32 +95,3 @@ plot(cars)
...
@@ -60,32 +95,3 @@ plot(cars)
#+RESULTS:
#+RESULTS:
[[file:./cars.png]]
[[file:./cars.png]]
Note the parameter ~:exports results~, which indicates that the code
will not appear in the exported document. We recommend that in the
context of this MOOC, you always leave this parameter setting as
~:exports both~, because we want your analyses to be perfectly
transparent and reproducible.
Watch out: the figure generated by the code block is /not/ stored in
the org document. It's a plain file, here named ~cars.png~. You have
to commit it explicitly if you want your analysis to be legible and
understandable on GitLab.
Finally, don't forget that we provide in the resource section of this
MOOC a configuration with a few keyboard shortcuts that allow you to
quickly create code blocks in R by typing ~<r~ or ~<R~ followed by
~Tab~.
Now it's your turn! You can delete all this information and replace it
by your computational document.
Write the mathematical formulas
X = 1 + 1
Print π -> $pi$
Link : ["aiguilles de Buffon"] (https://fr.wikipedia.org/wiki/Aiguille_de_Buffon).
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