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Modules
As you start to write larger programs, you will want to save the function de?nitions in multiple ?les, collected together according to what they do. So, for example, we may collect a set of utility functions together into in one file, called utility.py. This ?le is known as a module in Python.
Now, if we want to use those procedures in another shell or file, we will require to say import utility so that all those procedures become available to us and to the Python interpereter. Now, if we have a function in utility.py named foo, we may use it with the name utility.foo. You may study more about modules, and how to instance reference functions described in procedures, in the Python documentation.
Import the sample code below into the Python IDLE and enhance it, run it and debug it. Add features to make this a more realistic database tool by providing for easy data entry an
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Synthetic models One goal of various people in a variety of sub-disciplines of electrical engineering and computer science is automatic synthesis of machine from formal
Environments in Python Generally, Python establishes the following binding environments: 1. builtin : the mother of all environments: it contains the de?nitions of
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Perimeter of a polygon Now, let's consider the problem of computing the length of the perimeter of a polygon. The input is a structure of vertices, encoded as a list of list
Models It is a new system that is considerably easier than the system being modelled, but which saves the important points of the original machine. We might create a physical
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