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other:python:misc_by_jyp [2023/11/29 10:32]
jypeter [Working with paths and filenames] Improved and added pathlib example
other:python:misc_by_jyp [2024/04/19 12:02] (current)
jypeter [Data representation] Corrected link to an old JYP tutorial
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 </​WRAP>​ </​WRAP>​
  
 +===== Extra tutorials =====
  
 +Only **when you have already read all the content of this page several times**, and you are looking for new ideas
 +
 +  * [[https://​medium.com/​@yaduvanshineelam09/​ultimate-python-cheat-sheet-practical-python-for-everyday-tasks-8a33abc0892f|Ultimate Python Cheat Sheet: Practical Python For Everyday Tasks]]
 ===== Reading/​setting environments variables ===== ===== Reading/​setting environments variables =====
  
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 ['​c',​ '​d',​ '​b',​ '​a'​]</​code>​ ['​c',​ '​d',​ '​b',​ '​a'​]</​code>​
  
 +
 +===== Efficient looping with numpy, map, itertools and list comprehension =====
 +
 +<wrap hi>Big, nested, explicit ''​for''​ loops should be avoided at all cost</​wrap>,​ in order to reduce a script execution time!
 +
 +  * **''​numpy''​ arrays** should be used when dealing with //numerical data//
 +    * **Masked arrays** can be used to deal with //special cases// and remove tests from loops
 +
 +  * The built-in [[https://​docs.python.org/​3/​library/​functions.html?​highlight=map#​map|map]] function (and similar functions like [[https://​docs.python.org/​3/​library/​functions.html?​highlight=zip#​zip|zip]],​ [[https://​docs.python.org/​3/​library/​functions.html?​highlight=filter#​filter|filter]],​ ...) can be used to efficiently apply a function (possibly a //simple// [[https://​docs.python.org/​3/​tutorial/​controlflow.html#​lambda-expressions|lambda]] function) to all the elements of a list
 +    * <​code>>>>​ my_ints = [1, 2, 3]
 +
 +>>>​ map(str, my_ints)
 +['​1',​ '​2',​ '​3'​]
 +
 +>>>​ map(lambda ii: str(10*ii + 5), my_ints)
 +['​15',​ '​25',​ '​35'​]</​code>​
 +
 +  * The [[https://​docs.python.org/​3/​library/​itertools.html|itertools]] module defines many more fancy iterators that can be used for efficient looping
 +    * Example: replacing nested loops with [[https://​docs.python.org/​3/​library/​itertools.html#​itertools.product|product]]
 +      * <​code>>>>​ it.product('​AB',​ '​01'​)
 +<​itertools.product object at 0x2b35a7b5f100>​
 +
 +>>>​ list(it.product('​AB',​ '​01'​))
 +[('​A',​ '​0'​),​ ('​A',​ '​1'​),​ ('​B',​ '​0'​),​ ('​B',​ '​1'​)]
 +
 +>>>​ for c1, c2 in it.product('​AB',​ '​01'​):​
 +...   ​print(c1 + c2)
 +...
 +A0
 +A1
 +B0
 +B1
 +
 +>>>​ for c1, c2 in it.product(['​A',​ '​B'​],​ ['​0',​ '​1'​]):​
 +...   ​print(c1 + c2)
 +...
 +A0
 +A1
 +B0
 +B1
 +
 +>>>​ for c1, c2, c3 in it.product('​AB',​ '​01',​ '​$!'​):​
 +...   ​print(c1 + c2 + c3, end=', ')
 +...
 +A0$, A0!, A1$, A1!, B0$, B0!, B1$, B1!,</​code>​
 +
 +  * The [[https://​docs.python.org/​3/​tutorial/​datastructures.html?​highlight=comprehension#​list-comprehensions|list comprehension]] (aka //implicit loops//) can also be used to generate lists from lists
 +    * Example: converting a list of integers to a list of strings\\ Note: in that case, you should rather use the ''​map''​ function detailed above
 +      * <​code>>>>​ my_ints = [1, 2, 3]
 +
 +>>>​ [ str(ii) for ii in my_ints ]
 +['​1',​ '​2',​ '​3'​]</​code>​
 ===== numpy related stuff ===== ===== numpy related stuff =====
  
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 A few notes for a future section or page about about //data representation//​ (bits and bytes) on disk and in memory, vs //data format// A few notes for a future section or page about about //data representation//​ (bits and bytes) on disk and in memory, vs //data format//
  
-FIXME Add parts (pages 28 to 37) of this [[https://wiki.lsce.ipsl.fr/​pmip3/doku.php/other:​python:​jyp_steps#​part_2|old tutorial]] to this section+FIXME Add parts (pages 28 to 37) of this [[http://www.lsce.ipsl.fr/​Phocea/file.php?​class=page&​file=5/pythonCDAT_jyp_2sur2_070306.pdf|old tutorial]] to this section
  
 ==== Base notions ==== ==== Base notions ====
other/python/misc_by_jyp.1701253955.txt.gz · Last modified: 2023/11/29 10:32 by jypeter