PYTHON Interview Questions and Answers
Question - 101 : -
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Answer - 101 : -
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MicrosoftInternetExplorer4
Range returns a list while xrange returns a xrange object which takes the same memory no matter of the range size. In the first case you have all items already generated(this can take a lot of time and memory) while in the second you get the elements one by one e.g. only one element is generated and available per iteration. Simple example of generator usage can be find in the problem 2 of the "homework" for my presentation Functions in Python.
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Question - 102 : -
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Answer - 102 : -
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MicrosoftInternetExplorer4
Decorators allow us to inject or modify code in functions or classes". In other words decorators allow us to wrap a function or class method call and execute some code before or after the execution of the original code. And also we can nest them e.g. to use more than one decorator for a specific function. Usage examples include - logging the calls to specific method, checking for permission(s), checking and/or modifying the arguments passed to the method etc.
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Question - 103 : -
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Answer - 103 : -
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MicrosoftInternetExplorer4
Python program runs directly from the source code. Each type Python programs are executed code is required. Python converts source code written by the programmer into intermediate language which is again translated it into the native language / machine language that is executed. So Python is an Interpreted language.
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Question - 104 : -
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Answer - 104 : -
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MicrosoftInternetExplorer4
Pickle module accepts any Python object and converts it into a string representation and dumps it into a file by using dump function, this process is called pickling. While the process of retrieving original Python objects from the stored string representation is called unpickling.
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Question - 105 : -
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Answer - 105 : -
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MicrosoftInternetExplorer4
1.Python memory is managed by Python private heap space. All Python objects and data structures are located in a private heap. The programmer does not have an access to this private heap and interpreter takes care of this Python private heap.
2.The allocation of Python heap space for Python objects is done by Python memory manager. The core API gives access to some tools for the programmer to code.
3.Python also have an inbuilt garbage collector, which recycle all the unused memory and frees the memory and makes it available to the heap space.
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Question - 106 : -
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Answer - 106 : -
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MicrosoftInternetExplorer4
PyChecker is a static analysis tool that detects the bugs in Python source code and warns about the style and complexity of the bug. Pylint is another tool that verifies whether the module meets the coding standard.
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Question - 107 : -
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Answer - 107 : -
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A Python decorator is a specific change that we make in Python syntax to alter functions easily.
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Question - 108 : -
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Answer - 108 : -
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The difference between list and tuple is that list is mutable while tuple is not. Tuple can be hashed for e.g as a key for dictionaries.
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Question - 109 : -
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Answer - 109 : -
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Everything in Python is an object and all variables hold references to the objects. The references values are according to the functions; as a result you cannot change the value of the references. However, you can change the objects if it is mutable.
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Question - 110 : -
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Answer - 110 : -
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They are syntax constructions to ease the creation of a Dictionary or List based on existing iterable.
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