June 10, 2019

Srikaanth

MuleSoft Python Latest Interview Questions Answers

MuleSoft Most Frequently Asked Python Latest Interview Questions Answers

What is PEP 8 in Python?

PEP 8 is a set of recommendations about writing Python Code so as to make it readable and useful for other programmers. It is more of a coding convention.
45. What is a Decorator in Python?

Decorators allow you to wrap a method or a class function that executes a set of code lines before or after the execution of the original code. Decorator also allows to inject or modify code in methods or classes.

What is Django Framework in Python?

Django is a high-level Python framework which is used primarily for Web Development. This framework encourages fast and efficient development with pragmatic and clean design. Built by experienced developers, it takes care of much of the hassle of Web development, so you can focus on writing your app without needing to reinvent the wheel. It’s free and open source.

Is Python a Compiled or an Interpreted Programming Language?

Python programs have the extension .py. These source files are first compiled to Byte Codes (which does not contain the binary codes). These Byte Code files helps in startup speed optimization. These byte-codes are then sent to the Python Virtual Machine where lines of codes are read one after another which means that it is interpreted.
MuleSoft Most Frequently Asked Python Latest Interview Questions Answers
MuleSoft Most Frequently Asked Python Latest Interview Questions Answers

Enlist the Non-Mutable Built-in types in Python programming environment?

The Non-Mutable Built-in types in Python Programming Environment are as follows:

1. Tuples
2. Numbers
3. Strings

How can we define Scope in a Python program?

Python programming environment does not support the use of Braces for Defining Scope for a variable or a method. However, it uses Indentations to let the Python interpreter decide the scope itself. Proper indentations, if not used will normally generate an error.

Enlist various Exceptions identified by Python?

The various exceptions identified by Python Environment are as follows:
1. IOError
2. IndexError
3. KeyError
4. NameError
5. SyntaxError
6. ValueError
7. TypeError.

What Are The Rules For Local And Global Variables In Python?

In Python, variables that are only referenced inside a function are implicitly global. If a variable is assigned a new value anywhere within the function's body, it's assumed to be a local. If a variable is ever assigned a new value inside the function, the variable is implicitly local, and you need to explicitly declare it as 'global'.
Though a bit surprising at first, a moment's consideration explains this. On one hand, requiring global for assigned variables provides a bar against unintended side-effects. On the other hand, if global was required for all global references, you'd be using global all the time. You'd have to declare as global every reference to a builtin function or to a component of an imported module. This clutter would defeat the usefulness of the global declaration for identifying side-effects.

How Do I Share Global Variables Across Modules?

The canonical way to share information across modules within a single program is to create a special module (often called config or cfg). Just import the config module in all modules of your application; the module then becomes available as a global name. Because there is only one instance of each module, any changes made to the module object get reflected everywhere.

For example:

config.py:

x = 0 # Default value of the 'x' configuration setting
mod.py:
import config
config.x = 1
main.py:
import config
import mod
print config.x

How Do I Copy An Object In Python?

In general, try copy.copy() or copy.deepcopy() for the general case. Not all objects can be copied, but most can.
Some objects can be copied more easily. Dictionaries have a copy() method:
newdict = olddict.copy()
Sequences can be copied by slicing:
new_l = l[:]

What Are The Built-In Types Available In Python?

Here is the list of most commonly used built-in types that Python supports:

Immutable built-in types of Python

Numbers
Strings
Tuples

Mutable built-in types of Python

List
Dictionaries
Sets

How To Find Bugs Or Perform Static Analysis In A Python Application?

You can use PyChecker, which is a static analyzer. It identifies the bugs in Python project and also reveals the style and complexity related bugs.
Another tool is Pylint, which checks whether the Python module satisfies the coding standard.

When Is The Python Decorator Used?

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

 What Is The Key Difference Between A List And The Tuple?

List Vs Tuple.
The major difference between a list and the tuple is that the list is mutable while tuple is not. A tuple is allowed to be hashed, for example, using it as a key for dictionaries.

 How Does Python Handle The Memory Management?

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.

What Are The Principal Differences Between The Lambda And Def?

Lambda Vs Def.
def can hold multiple expressions while lambda is a uni-expression function.
def generates a function and designates a name so as to call it later. lambda forms a function and returns the function itself.
def can have a return statement. lambda can’t have return statements
lambda supports to get used inside a list and dictionary.

Write A Reg Expression That Confirms An Email Id Using The Python Reg Expression Module <Re>?

Python has a regular expression module <re>.

Check out the <re> expression that can check the email id for .com and .co.in subdomain.

import re
print(re.search(r"[0-9a-zA-Z.]+@[a-zA-Z]+\.(com|co\.in)$","micheal.pages@mp.com"))


What Do You Think Is The Output Of The Following Code Fragment? Is There Any Error In 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.

Is There A Switch Or Case Statement In Python? If Not Then What Is The Reason For The Same?

No, Python does not have a Switch statement, but you can write a Switch function and then use it.

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