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Python Interview Questions and Answer |
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Answer: High
level language are first needs to be converted to
low level language e.g. Java Virtual Machine does of
java language. This is an extra step which makes
executing code slower compare to low level language. We highly recommend you get paid subscription Annual Premium to access all contents on this website or get paid subscription for this product itself. |
Answer:Answer:
Writing program using high level language can have
following advantages.
|
Answer: It does not do lot of conversion, it reads the program and directly execute on the computer. Hence, this is relatively faster than compiler. |
Answer:
Python is an interpreter language. Hence, it is not
required to be compiled and then executer (as in
case of Java you have to do this). |
Answer: There
are mainly three types of errors.
|
Answer:
Catching such errors are not easy. Until and unless
you test the output. It means your program will run
without any issue. It will successfully complete.
But when you see the result than only you can say
that there is an issue e.g. You want to add
two numbers 2 and 3 and expected answer is 5, but
program generate 6 (because instead of + sign, * has
been used.). We highly recommend you get paid subscription Annual Premium to access all contents on this website or get paid subscription for this product itself. |
Answer:
These errors only appears when you run the program.
This is also known as exceptions. |
Answer:
Interpreter convert high level language line by line
but for compiler entire program will be translated
in low level language. |
Answer:
This is a category of the data e.g. 23 is an int ,
23.7 id a float and ‘Amit’ is a string type. |
Answer:
Its name to a value. You can refer a particular
value using variable name like ‘Amit’ it is a value
but will be referred using a variable called ‘name’ |
Answer:
Function is a collection of statements, which is
defined once and then call it later to do some
executions. Below is the function definition example def total_course_durations(c1,c2): training=curse_duration() training.hours=c1.hours+c2.hours training.minutes=c1.minutes+c2.minutes training.seconds=c1.seconds+c2.seconds return training total_duration=total_course_durations(hadoop_training,spark_training) Name of the function: total_course_duration Statements: All orange color lines are statements. return: It is a return statements. total_duration: It is a variable, holding the values return by function call. Function Arguments: These two variables are known as function arguments hadoop_training,spark_training |
Answer: There
are various functions available, which can help you
convert data from one data types to another data
type. See the example below int(‘100’) -> 100 #Converting string to int flaot(‘100.5’) -> 100.5 #Converting string to float str(3.02) -> ‘3.02’ #Converting float to string We highly recommend you get paid subscription Annual Premium to access all contents on this website or get paid subscription for this product itself. |
Answer:
Python module is any python file with .py extension,
which contains functions and variables are known as
Python Module. To use module in our current program
we have to import it first. There are in-built
modules which are provided by Python itself e.g.
import math (Here, math is a Python module) |
Answer: Function,
which return a value is known as fruitful function.
E.g math.sqrt(4), it will return 2 |
Answer: Function
which does not return a value is known as void
function. |
Answer:
Python provides two ways by which you can import the
Python module.
|
Answer:
You can import everything from your module using *
operator as below. from math import * However, this is a bad practice. It will overwrite all the variables and functions which you have defined in your program. So it is suggested, to avoid this. |
Answer:
Function definition, is the way by which you define
a function as below. def total_course_durations(c1,c2): training=curse_duration() training.hours=c1.hours+c2.hours training.minutes=c1.minutes+c2.minutes training.seconds=c1.seconds+c2.seconds return training Function Object: This is created by a function definition. Name of the function ‘total_course_durations’ is a variable, which points to function object. |
Answer:
Parameters are defined by the names that appear in a
function definition, whereas arguments are the
values actually passed to a function when calling
it. Parameters define what types of arguments a
function can accept. For example, given the function
definition: def func1(value1, value2=None, **kwargs): Value1, value2 and kwargs are parameters of func1. However, when calling func1, for example: Learn Python in Less than 8 Hours sitting at Home/@Desk func(100, value2=”hadoopexam”, new_name=anyvar) the values 100, “hadoopexam” and anyvar are arguments. We highly recommend you get paid subscription Annual Premium to access all contents on this website or get paid subscription for this product itself. |
Answer: A
variable which you define inside the function is
known as local variable, you can not use local
variable outside the function. Below two variables
course1 and course2 are local and cannot be accessed
outside the function. def total_course_durations(c1,c2): course1=c1 course2=c2 |
Answer: A
value created by an import statement that provides
access to the values defined in a module. e.g import math , here math is a module object and using dot notation you can access the variables defined in this module for instance math.pi |
Answer: It
is the process of transforming a sequence of
statements into a function definition. Everything is
encapsulated inside the function. |
Answer:
Python documentation strings (or docstrings) provide
a convenient way of associating documentation with
Python modules, functions, classes, and methods. An object's docstring is defined by including a string constant as the first statement in the object's definition. def my_function(): """Do nothing, but document it. No, really, it doesn't do anything. """ You can print this doc string using: print my_function.__doc__ |
Answer:
There are two mathematical operator to help you get
quotient and remainder. Getting remainder using ‘%’ modulus operator and ‘/’ to get the quotient value for example quotient = 10 / 3 # will result 3 remainder = 10 % 3 #will result 1 |
Answer:
Below are all considered relational operator to do
the comparison. A !=B # A is not equal to B A>B # A is greater than B A<B # A is less than B A>=B # A is greater and equal to B A<=B #A is less than or equal to B |
Answer:
There are three logical operators in Python and, or
and not. See example below
|
Answer: A function calling itself. If you don’t have a base condition (to break the recursion). It can be infinite call which can lead your program to run indefinitely and then finally crash. |
Answer:
A part of the code, which is never executed is known
as dead code. This is generally written after the
return statement and will never be executed. |
Answer:
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