Fresh Python Developer Interview Preparation Guide

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The way of implementing iterators are known as generators. It is a normal function except that it yields expression in the function.

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.

To copy an object in Python, you can try copy.copy () or copy.deepcopy() for the general case. You cannot copy all objects but most of them.

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.

A Python documentation string is known as docstring, it is a way of documenting Python functions, modules and classes.

Python is a programming language with objects, modules, threads, exceptions and automatic memory management. The benefits of pythons are that it is simple and easy, portable, extensible, build-in data structure and it is an open source.

The use of the split function in Python is that it breaks a string into shorter strings using the defined separator. It gives a list of all words present in the string.

A unit testing framework in Python is known as unittest. It supports sharing of setups, automation testing, shutdown code for tests, aggregation of tests into collections etc.

In order to convert a number into a string, use the inbuilt function str(). If you want a octal or hexadecimal representation, use the inbuilt function oct() or hex().

Python language is an interpreted language. Python program runs directly from the source code. It converts the source code that is written by the programmer into an intermediate language, which is again translated into machine language that has to be executed.

In Python, documentation string is popularly known as doc strings. It sets a process of recording Python functions, modules, and classes.

A session basically allows you to remember information from one request to another. In a flask, it uses a signed cookie so the user can look at the session contents and modify. The user can modify the session if only it has the secret key Flask.secret_key.

They are syntax constructions to ease the creation of a Dictionary or List based on existing iterable.

☛ Python comprises of a huge standard library for most Internet platforms like Email, HTML, etc.
☛ Python does not require explicit memory management as the interpreter itself allocates the memory to new variables and free them automatically
☛ Provide easy readability due to use of square brackets
☛ Easy-to-learn for beginners
☛ Having the built-in data types saves programming time and effort from declaring variables

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.

The <self> keyword is a variable that holds the instance of an object. In almost, all the object-oriented languages, it is passed to the methods as hidden parameter.

Flask-WTF offers simple integration with WTForms. Features include for Flask WTF are

☛ Integration with wtforms
☛ Secure form with csrf token
☛ Global csrf protection
☛ Internationalization integration
☛ Recaptcha supporting
☛ File upload that works with Flask Uploads

You can access a module written in Python from C by following method,

Module = =PyImport_ImportModule(“<modulename>”);

☛ Python uses private heaps to maintain its memory. So the heap holds all the Python objects and the data structures. This area is only accessible to the Python interpreter; programmers can’t use it.
☛ And it’s the Python memory manager that handles the Private heap. It does the required allocation of the heap for Python objects.
☛ Python employs a built-in garbage collector, which salvages all the unused memory and offloads it to the heap space.

☛ 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.
☛ 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.
☛ 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.

Yes, we can use the Python debugger (<pdb>) to debug any Python program. And if we start a program using <pdb>, then it let us even step through the code.

list = ['a', 'b', 'c', 'd', 'e']
print (list[10:])
The result of the above lines of code is []. There won’t be any error like an IndexError.

You should know that trying to fetch a member from the list using an index that exceeds the member count (for example, attempting to access list[10] as given in the question) would yield an IndexError. By the way, retrieving only a slice at an opening index that surpasses the no. of items in the list won’t result in an IndexError. It will just return an empty list.

Python decorator is a relative change that you do in Python syntax to adjust the functions quickly.

The following command helps run a Python program in debug mode.

$ python -m pdb python-script.py

A lambda form in python does not have statements as it is used to make new function object and then return them at runtime.