The pdf which I have provided is describes about the python important questions which are frequently asked questions in every interview. So I think it may helps to the people who are looking for interview questions.
1. What is the Difference Between a Shallow Copy and Deep Copy?
Answer:
Deepcopy creates a different object and populates it with the child objects of
the original object. Therefore, changes in the original object are not reflected
in the copy.
copy.deepcopy() creates a Deep Copy.
Shallow copy creates a different object and populates it with the references
of the child objects within the original object. Therefore, changes in the
original object are reflected in the copy.
copy.copy creates a Shallow Copy.
2. How Is Multithreading Achieved in Python?
Answer:
Multithreading usually implies that multiple threads are executed
concurrently. The Python Global Interpreter Lock doesn't allow more than
one thread to hold the Python interpreter at that particular point of time. So
multithreading in python is achieved through context switching. It is quite
different from multiprocessing which actually opens up multiple processes
across multiple threads.
3. Discuss Django Architecture.
Answer:
Django is a web service used to build your web pages. Its architecture is as
shown:
Template: the front end of the web page
Model: the back end where the data is stored
View: It interacts with the model and template and maps it to the URL
Django: serves the page to the user
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4. What Advantage Does the Numpy Array Have over a Nested List?
Answer:
Numpy is written in C so that all its complexities are backed into a simple to use
a module. Lists, on the other hand, are dynamically typed. Therefore, Python
must check the data type of each element every time it uses it. This makes
Numpy arrays much faster than lists.
Numpy has a lot of additional functionality that list doesn’t offer; for instance, a
lot of things can be automated in Numpy.
5. What are Pickling and Unpickling?
Answer:
Pickling Unpickling
Converting a Python object Converting a byte stream to a
hierarchy to a byte stream is Python object hierarchy is called
called picklingPickling is also unpicklingUnpickling is also
referred to as serialization referred to as deserialization
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If you just created a neural network model, you can save that model to your hard
drive, pickle it, and then unpickle to bring it back into another software program
or to use it at a later time.
6. How is Memory managed in Python?
Answer:
Python has a private heap space that stores all the objects. The Python memory
manager regulates various aspects of this heap, such as sharing, caching,
segmentation, and allocation. The user has no control over the heap; only the
Python interpreter has access.
7. Are Arguments in Python Passed by Value or by Reference?
Answer:
Arguments are passed in python by a reference. This means that any changes
made within a function are reflected in the original object.
Consider two sets of code shown below:
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