Editing My Python Coding Conventions

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= Coding Conventions Etc. =
 
= Coding Conventions Etc. =
  
In reading my code it may be of some use to know what conventions I have ( tried ) to follow.  The code has been developed over quite a period of time so the standards are not uniform.  What I write here are the standards that are in quite a bit of the code and the directions that I am trying to move.  In all of the coding consistency is an important standard, I have a ways to go. I am now only coding in Python 3.6 or up. Here are some types of conventions.  Ultimately if you want to understand the code, read it.  I work hard to make it readable, so please try, you can let me know of shortcoming, but note that I am aware of the fact that it still need improvement.  You also might be interested in [[Russ Python Tips and Techniques]].
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In reading my code it may be of some use to know what conventions I have ( tried ) to follow.  The code has been developed over quite a period of time so the standards are not uniform.  What I write here are the standards that are in quite a bit of the code and the directions that I am trying to move.  In all of the coding consistency is an important standard, I have a ways to go. I am now only coding in Python 3.6 or up. Here are some types of conventions.  Ultimately if you want to understand the code, read it.  I work hard to make it readable, so please try, you can let me know of shortcoming, but note that I am aware of the fact that it still need improvement.
  
 
== Names ==
 
== Names ==
I try to be consistent: this is good but have not been very successful in standards: I keep changing my mind.    I am avoiding short names and try to make names descriptive enough that they are somewhat self documenting.  References are often copied across objects for easy access ( lots of parameters for example ); when this happens the name of the object is generally ( should be always ) the same in both objects.  I am beginning to use leading underscores for private methods but just beginning this.  So far not doing the same for variables.
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I try to be consistent: this is good but have not been very successful in standards: I keep changing my mind.    I am avoiding short names and try to make names descriptive enough that they are somewhat self documenting.  References are often copied across objects for easy access ( lots of parameters for example ); when this happens the name of the object is generally ( should be always ) the same in both objects.
  
 
== Formatting ==
 
== Formatting ==
  
 
Nothing special here but I like white space and use a lot.  This is not standard Python.  But this is what I like.
 
Nothing special here but I like white space and use a lot.  This is not standard Python.  But this is what I like.
 
== Comments ==
 
 
Comments are used for:
 
* Documentation
 
* Notes about subtleties in the code or other possible non obvious behavior.
 
* Ideas about code modifications for speed, enhancement .... !! marks an idea with high commitment ?? for one that is just an idea.
 
* Dead code that I want for reference for at least a while.
 
* Commented out code that might be useful for debugging: # will appear in column 1.  Not maintained so may or may not work.
 
* As usual always be skeptical about comment content.
 
 
Comment in column 1 is often for debugging while other comments, indented, end of line, or triple quotes are more often documentation.
 
  
 
== Docstrings ==
 
== Docstrings ==
I am working towards using them but have not arrived at a format that I both like to read and which is quick enough to write.  Not good as of 2019 Jan
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I am working towards using them but have not arrived at a format that I both like to read and which is quick enough to write.  Not good as of 2017 Jan
* Function docstrings may say '''what it says''' if I think the function name is pretty much and explanation.  Especially if the function is short.
 
  
 
== Imports ==
 
== Imports ==
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=== Global Variables and Application State ===
 
=== Global Variables and Application State ===
Globals are often disparaged, in part because of strong coupling between components. Nevertheless they are very useful in applications. My approach is to use a class, never instantiated which is a singleton and which holds the global variables. This is in a file called app_global.py, check out the ( very simple ) code there.  Objects that need to be globally available typically have an __init__
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Globals are often.....
which contains a line much like  AppGlobal.a_global_reference = self.  It can then be accessed anywhere in the code ( after from app_global import AppGlobal ) as: a_useful_ref  = AppGlobal.a_global_reference.  Other application state information may be shared in an object of the class AppState.  Not quite sure how these differ form AppGlobals, maybe they doe not ( although I usually use an instance of this not the class itself ).  All this works fine, so I am using it this way now, but I need to think more about the proper way to code this stuff.
 
  
 
=== MultiThreading ===
 
=== MultiThreading ===

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