If the module isn't found, Python then searches each directory in the shell variable PYTHONPATH. When you import a module, the Python interpreter searches for the module in the following sequences − This provides an easy way to import all the items from a module into the current namespace however, this statement should be used sparingly. It is also possible to import all names from a module into the current namespace by using the following import statement − This statement does not import the entire module fib into the current namespace it just introduces the item fibonacci from the module fib into the global symbol table of the importing module. The from.import has the following syntax −įrom modname import name1]įor example, to import the function fibonacci from the module fib, use the following statement − Python's from statement lets you import specific attributes from a module into the current namespace. This prevents the module execution from happening over and over again if multiple imports occur.
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When the above code is executed, it produces the following result −Ī module is loaded only once, regardless of the number of times it is imported. # Now you can call defined function that module as follows For example, to import the module support.py, you need to put the following command at the top of the script − A search path is a list of directories that the interpreter searches before importing a module. When the interpreter encounters an import statement, it imports the module if the module is present in the search path. You can use any Python source file as a module by executing an import statement in some other Python source file. Here's an example of a simple module, support.py The Python code for a module named aname normally resides in a file named aname.py. A module can define functions, classes and variables. Simply, a module is a file consisting of Python code.
A module is a Python object with arbitrarily named attributes that you can bind and reference. Grouping related code into a module makes the code easier to understand and use. A module allows you to logically organize your Python code.
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