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Python in space and scope.

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Namespace in Python, in Python namespace is a collection of names which holds as a mapping of every

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name which you have defined the corresponding objects so objects will have different names and these

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names will be defined in some namespace.

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So different names, spaces can coexist at a given time, but completely they are completely isolated

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in namespace containing all the building names.

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It is created when you start the python interpreter and exists as long as we don't exit from the environment.

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So namespace in Python can be can be drawn there can be explained using these respective Degner so modules

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can have various functions and classes, a local namespace is created when the function is called,

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which has all the names defined in it.

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Similarly is the case with the class also.

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So just sinisi here, when having one namespace, there's a function, local namespace with all the

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variables, all the objects, whatever we have defined in this particular function.

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So they'll be mapped here and then we're having this model global namespace and this is this particular

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function.

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Local namespace will be the part of this.

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And then we're having that building namespace for the respective application in execution.

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So I think for the better understanding, let us look for a practical demonstration where you will be

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showing you that how this namespace can be used in Python.

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So here is the demonstration identifier.

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It is nothing but one name, which is simply a name given to Python objects, and we can get the address

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in RAM of some object through the building function.

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That is our ID.

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So using this ID function, we can easily get the ID of the respective identifier.

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So now you can get the different versions of ID in our execution, whatever.

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Already we have written here under the command.

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So it is legal to do so.

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I want to print the idea of two.

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I want to print the idea of E also.

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So see what we're doing.

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So here is the outcome.

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So the idea up to an idea of a board are some.

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You can easily find that book.

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Aasim, if anybody is sending a signal to and we're trying to print the idea of a we are finding that

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one, this ID is also the same as we had before.

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Next one is that we have made is equal to a plus one.

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So it is now holding the value three here.

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So if we print the idea of eight, we're finding that the idea of A has got different and it is the

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ID, which is different from the idea of a whatever.

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We got the outcome earlier.

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Next idea of three, if I print this idea up three, I'm getting this one as one seven six four five

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one six zero six four.

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So that means it is the same as the idea of it because it is done holding the value through here.

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If I say and B is two and if I want to print the idea of two are getting the same idea which you had

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in case of a I think of two when it was having the value to here.

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So if I print that aspect, one, if I go on printing.

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They print.

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So if I can find that the idea of to an idea of being water bothersome because basically two has been

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asked, so in this way we've discussed that what is identified and what is an ID idea starting but one

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building function available in Python to bring their respective memory address in the realm.

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The addresses, whatever were printed, if we execute the same code, we might be getting some different

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ideas.

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So that will be decided by that during the execution of my code, which will block is free.

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And depending upon that, the memory allocation against variables will be done by the system.

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Next one is ESCAP.

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So we are having this outer function where having this inner function, so it is also known as nested

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function, so globally that means I'm defining one variable within outer function, but the scope will

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be global.

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So that's why you abuse the key word global here.

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This valuable AI has been initialized with 20.

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Now, that is my inner function.

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There's a nested function which is existing inside the outer one.

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You can look at the indentation and you can get the idea that this particular inner function is within

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the outer function here defining this.

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But it is not a new way, but it is a globally, which you referred earlier, that it has got updated

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with the value of thirty and the value of it has got printed from the outer function, this inner function,

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whatever it was defined just now, it has got executed, it has been called so during execution it will

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have its execution and we are printing this value up a uprate exiting from the inner function within

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our function.

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So I'm reading this is the routine at first.

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So that is the eight is there.

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I'm printing the value of it.

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So it is printing then.

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Now we calling this outer function.

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So when the control will be going to the outer function, this is actually the globally.

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That means that E which is right now holding the value chain.

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So that then has got up to 20, but we didn't print anything then the inner function will be called.

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So inner function is also defined the same global variable eight.

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So this is available in the global scope and that it will be used in the inner function.

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Now eight is 30.

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Now this city is operating the global in scope, the eight which is defined in the global scope.

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Now we are printing the value of it.

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So it is printing 30 year after calling the Zener function again, we are printing this value of from

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the outer function.

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Then it is printing 30 and after calling this outer function, if you print the value of it here, I'm

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getting 30 back again.

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So it is the it is giving me the idea, it is giving us the idea.

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What is the scope here?

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And whenever one variable is in one scope, then how to access that variable from some inner scope using

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the global keyword as we did in our coding in this demonstration, we have discussed that how to define

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what is happening whenever we are defining one identified in our python coding.

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Thanks for watching this video.