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other:python:misc_by_jyp [2023/05/11 14:06]
jypeter [Numerical values]
other:python:misc_by_jyp [2024/04/17 09:25]
jypeter [Useful python stuff] Added the Extra tutorials section
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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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 ==== Working with paths and filenames ==== ==== Working with paths and filenames ====
  
-If you are in a hurry, you can just use string functions to work with path and file names. ​But you will need some specific functions to check if a file exists, and similar operations. All these are available in 2 libraries that have similar functions. Both of these libraries can deal with Unix-type paths on Linux computers, and Windows-type paths on Windows computers+If you are in a hurry, you can just use string functions to work with paths and file names.
  
-  ​* [[https://​docs.python.org/​3/​library/​os.path.html|os.path]] //Common ​pathname manipulations//​+ 
 +You will need some specific objects and functions to check if a file exists, and similar operations. Check the libraries listed below, that can automatically deal with Unix-type paths on Linux and MacOS computers, and Windows-type paths on Windows computers 
 + 
 +  ​* [[https://​docs.python.org/​3/​library/​os.path.html|os.path]]//common ​pathname manipulations//​
     * Available since... a long time! Use this if you want to avoid backward compatibility problems     * Available since... a long time! Use this if you want to avoid backward compatibility problems
     * Some functions are directly in [[https://​docs.python.org/​3/​library/​os.html|os]] //​Miscellaneous operating system interfaces//​\\ e.g. [[https://​docs.python.org/​3/​library/​os.html#​os.remove|os.remove]] and [[https://​docs.python.org/​3/​library/​os.html#​os.rmdir|os.rmdir]]     * Some functions are directly in [[https://​docs.python.org/​3/​library/​os.html|os]] //​Miscellaneous operating system interfaces//​\\ e.g. [[https://​docs.python.org/​3/​library/​os.html#​os.remove|os.remove]] and [[https://​docs.python.org/​3/​library/​os.html#​os.rmdir|os.rmdir]]
-  * [[https://​docs.python.org/​3/​library/​pathlib.html|pathlib]] //Object-oriented filesystem paths//+  * [[https://​docs.python.org/​3/​library/​pathlib.html|pathlib]]: a **more recent** ​//object-oriented// way to deal with //filesystem paths//
     * Available since Python version 3.4     * Available since Python version 3.4
     * [[https://​docs.python.org/​3/​library/​pathlib.html#​correspondence-to-tools-in-the-os-module|Matching pathlib, and os or os.path functions]]     * [[https://​docs.python.org/​3/​library/​pathlib.html#​correspondence-to-tools-in-the-os-module|Matching pathlib, and os or os.path functions]]
-  * [[https://​docs.python.org/​3/​library/​shutil.html|High-level file operations]]+  * [[https://​docs.python.org/​3/​library/​shutil.html|shutil]]: ​High-level file operations, e.g copy/move a file or directory tree
  
  
-=== Example: getting the full path of the Python used ===+=== Example: getting the full path of the Python ​executable ​used ===
  
 Note: the actual python may be different from the default python! Note: the actual python may be different from the default python!
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 /​usr/​bin/​python /​usr/​bin/​python
  
-$ /modfs/modtools/miniconda3//envs/analyse_3.6_test/bin/python+$ /home/share/unix_files/cdat/​miniconda3_21-02/envs/cdatm_py3/bin/python
 >>>​ import sys, shutil >>>​ import sys, shutil
 >>>​ shutil.which('​python'​) >>>​ shutil.which('​python'​)
 '/​usr/​bin/​python'​ '/​usr/​bin/​python'​
 >>>​ sys.executable >>>​ sys.executable
-'/modfs/modtools/miniconda3//envs/analyse_3.6_test/​bin/​python'</​code>​+'/home/share/unix_files/cdat/​miniconda3_21-02/envs/cdatm_py3/​bin/​python'</​code>​
  
  
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 </​code>​ </​code>​
  
 +
 +=== Example: system independent paths with pathlib ===
 +
 +Note: the following example was generated on a Linux server and uses a <wrap em>/</​wrap>​ character as a path separator
 +
 +<​code>>>>​ my_home = Path.home()
 +>>>​ my_home
 +PosixPath('/​home/​users/​my_login'​)
 +>>>​ my_conf = my_home / '​.config'​ / '​evince'​
 +>>>​ my_conf
 +PosixPath('/​home/​users/​my_login/​.config/​evince'​)
 +>>>​ my_conf.is_dir()
 +True
 +>>>​ my_conf.is_file()
 +False
 +>>>​ list(my_conf.glob('​*'​))
 +[PosixPath('/​home/​users/​my_login/​.config/​evince/​evince_toolbar.xml'​),​ PosixPath('​ /​home/​users/​my_login/​.config/​evince/​accels'​)]
 +>>>​ [ ff.name for ff in my_conf.glob('​*'​) ]
 +['​evince_toolbar.xml',​ '​accels'​]
 +</​code>​
  
 === Example: getting the size(s) of all the files in a directory === === Example: getting the size(s) of all the files in a directory ===
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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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 array([3. , 4.5, 8. ])</​code>​ array([3. , 4.5, 8. ])</​code>​
  
 +==== Exercise your brain with numpy ====
 +
 +Have a look at [[https://​github.com/​rougier/​numpy-100/​blob/​master/​100_Numpy_exercises.ipynb|100 numpy exercises]]
  
 ===== matplotlib related stuff ===== ===== matplotlib related stuff =====
other/python/misc_by_jyp.txt · Last modified: 2024/04/19 12:02 by jypeter