Python modules with submodules and functions

by

A folder with .py files and a __init__.py is called a package. One of those files containing classes and functions is a module. Folder nesting can give you subpackages.

So for example if I had the following structure:

  mypackage
     __init__.py
     module_a.py
     module_b.py
        mysubpackage
             __init__.py
             module_c.py
             module_d.py

I could import mypackage.module_a or mypackage.mysubpackage.module_c and so on.

You could also add functions to mypackage (like the numpy functions you mentioned) by placing that code in the __init__.py. Though this is usually considered to be ugly.

If you look at numpy’s __init__.py you will see a lot of code in there – a lot of this is defining these top-level classes and functions. The __init__.py code is the first thing executed when the package is loaded.

More Related Contents:

  1. Defining private module functions in python
  2. Import a python module without running it
  3. Trying to use a returned value without the other parts of a function [closed]
  4. How to use variables from a function in a different function
  5. Multiple Factorials
  6. How can I call a function within a class?
  7. What causes my function to return None at the end?
  8. Passing a dictionary to a function as keyword parameters
  9. I can’t install python-ldap
  10. Doing something before program exit
  11. Difference between methods and functions, in Python compared to C++
  12. Modules are installed using pip on OSX but not found when importing
  13. How do I call a function from another .py file?
  14. Python function as a function argument?
  15. Overloaded functions in Python
  16. How to apply a function on every row on a dataframe?
  17. How to access a standard-library module in Python when there is a local module with the same name?
  18. Setting variables with exec inside a function
  19. How can I make a deepcopy of a function in Python?
  20. Efficient evaluation of a function at every cell of a NumPy array
  21. Why should functions always return the same type?
  22. In Python, what does ” mean?
  23. break and continue in function
  24. Python functions with multiple parameter brackets
  25. What is __path__ useful for?
  26. How do I install Python libraries in wheel format?
  27. Check if all values in list are greater than a certain number
  28. How do implicit relative imports work in Python?
  29. Python module “cx_Oracle” module could not be found
  30. Sort python list by function

Leave a Comment