1. What is the difference between deep and shallow copy?
Shallow copy is used when a new instance type gets created and it keeps the values that are copied in the new instance. Shallow copy is used to copy the reference pointers just like it copies the values. These references point to the original objects and the changes made in any member of the class will also affect the original copy of it. Shallow copy allows faster execution of the program and it depends on the size of the data that is used.
Deep copy is used to store the values that are already copied. Deep copy doesn’t copy the reference pointers to the objects. It makes the reference to an object and the new object that is pointed by some other object gets stored. The changes made in the original copy won’t affect any other copy that uses the object. Deep copy makes execution of the program slower due to making certain copies for each object that is been called.
2. What are the key features of Python?
Python is an interpreted language. That means that, unlike languages like C and its variants, Python does not need to be compiled before it is run. Other interpreted languages include PHP and Ruby.
Python is dynamically typed, this means that you don’t need to state the types of variables when you declare them or anything like that. You can do things like x=111 and then x="I'm a string" without error
Python is well suited to object orientated programming in that it allows the definition of classes along with composition and inheritance. Python does not have access specifiers (like C++’s public, private), the justification for this point is given as “we are all adults here”
In Python, functions are first-class objects. This means that they can be assigned to variables, returned from other functions and passed into functions. Classes are also first class objects
Writing Python code is quick but running it is often slower than compiled languages. Fortunately?Python allows the inclusion of C based extensions so bottlenecks can be optimized away and often are. The numpy package is a good example of this, it’s really quite quick because a lot of the number crunching it does isn’t actually done by Python
Python finds use in many spheres – web applications, automation, scientific modelling, big data applications and many more. It’s also often used as “glue” code to get other languages and components to play nice.
3. How is Multithreading achieved in Python?
Python has a multi-threading package but if you want to multi-thread to speed your code up, then it’s usually not a good idea to use it.
Python has a construct called the Global Interpreter Lock (GIL). The GIL makes sure that only one of your ‘threads’ can execute at any one time. A thread acquires the GIL, does a little work, then passes the GIL onto the next thread.
This happens very quickly so to the human eye it may seem like your threads are executing in parallel, but they are really just taking turns using the same CPU core.
All this GIL passing adds overhead to execution. This means that if you want to make your code run faster then using the threading package often isn’t a good idea.
4. How can the ternary operators be used in python?
The Ternary operator is the operator that is used to show the conditional statements. This consists of the true or false values with a statement that has to be evaluated for it.
The Ternary operator will be given as:
[on_true] if [expression] else [on_false]x, y = 25, 50big = x if x < y else y
The expression gets evaluated like if x<y else y, in this case if x<y is true then the value is returned as big=x and if it is incorrect then big=y will be sent as a result.
5. How is memory managed in Python?
Memory management in python is managed by Python private heap space. All Python objects and data structures are located in a private heap. The programmer does not have access to this private heap. The python interpreter takes care of this instead.
The allocation of heap space for Python objects is done by Python’s memory manager. The core API gives access to some tools for the programmer to code.
Python also has an inbuilt garbage collector, which recycles all the unused memory and so that it can be made available to the heap space.
6. Explain what Flask is and its benefits?
Flask is a web microframework for Python based on “Werkzeug, Jinja2 and good intentions” BSD license. Werkzeug and Jinja2 are two of its dependencies. This means it will have little to no dependencies on external libraries. It makes the framework light while there is a little dependency to update and fewer security bugs.
A session basically allows you to remember information from one request to another. In a flask, a session 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.
7. What is the usage of help() and dir() function in Python?
Help() and dir() both functions are accessible from the Python interpreter and used for viewing a consolidated dump of built-in functions.
Help() function: The help() function is used to display the documentation string and also facilitates you to see the help related to modules, keywords, attributes, etc.
Dir() function: The dir() function is used to display the defined symbols.
8. Whenever Python exits, why isn’t all the memory de-allocated?
Whenever Python exits, especially those Python modules which are having circular references to other objects or the objects that are referenced from the global namespaces are not always de-allocated or freed.
It is impossible to de-allocate those portions of memory that are reserved by the C library.
On exit, because of having its own efficient clean up mechanism, Python would try to de-allocate/destroy every other object.
9. What does this mean: *args, **kwargs? And why would we use it?
We use *args when we aren’t sure how many arguments are going to be passed to a function, or if we want to pass a stored list or tuple of arguments to a function. **kwargsis used when we don’t know how many keyword arguments will be passed to a function, or it can be used to pass the values of a dictionary as keyword arguments. The identifiers args and kwargs are a convention, you could also use *bob and **billy but that would not be wise.
10. What are negative indexes and why are they used?
The sequences in Python are indexed and it consists of the positive as well as negative numbers. The numbers that are positive uses ‘0’ that is uses as first index and ‘1’ as the second index and the process goes on like that.
The index for the negative number starts from ‘-1’ that represents the last index in the sequence and ‘-2’ as the penultimate index and the sequence carries forward like the positive number.
The negative index is used to remove any new-line spaces from the string and allow the string to except the last character that is given as S[:-1]. The negative index is also used to show the index to represent the string in correct order.
11. What is the process of compilation and linking in python?
The compiling and linking allows the new extensions to be compiled properly without any error and the linking can be done only when it passes the compiled procedure. If the dynamic loading is used then it depends on the style that is being provided with the system. The python interpreter can be used to provide the dynamic loading of the configuration setup files and will rebuild the interpreter.
The steps that is required in this as:
Create a file with any name and in any language that is supported by the compiler of your system. For example file.c or file.cpp
Place this file in the Modules/ directory of the distribution which is getting used.
Add a line in the file Setup.local that is present in the Modules/ directory.
Run the file using spam file.o
After successful run of this rebuild the interpreter by using the make command on the top-level directory.
If the file is changed then run rebuildMakefile by using the command as ‘make Makefile’.
12. Explain split(), sub(), subn() methods of “re” module in Python.
To modify the strings, Python’s “re” module is providing 3 methods. They are:
split() – uses a regex pattern to “split” a given string into a list.
sub() – finds all substrings where the regex pattern matches and then replace them with a different string
subn() – it is similar to sub() and also returns the new string along with the no. of replacements.
13. What is the difference between range & xrange?
For the most part, xrange and range are the exact same in terms of functionality. They both provide a way to generate a list of integers for you to use, however you please. The only difference is that range returns a Python list object and x range returns an xrange object.
This means that xrange doesn’t actually generate a static list at run-time like range does. It creates the values as you need them with a special technique called yielding. This technique is used with a type of object known as generators. That means that if you have a really gigantic range you’d like to generate a list for, say one billion, xrange is the function to use.
This is especially true if you have a really memory sensitive system such as a cell phone that you are working with, as range will use as much memory as it can to create your array of integers, which can result in a Memory Error and crash your program. It’s a memory hungry beast.
14. What is pickling and unpickling?
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.
15. Mention the differences between Django, Pyramid and Flask.
Flask is a “microframework” primarily build for a small application with simpler requirements. In flask, you have to use external libraries. Flask is ready to use.
Pyramid is built for larger applications. It provides flexibility and lets the developer use the right tools for their project. The developer can choose the database, URL structure, templating style and more. Pyramid is heavy configurable.
Django can also used for larger applications just like Pyramid. It includes an ORM.
16. Explain how you can set up the Database in Django.
You can use the command edit mysite/setting.py , it is a normal python module with module level representing Django settings.
Django uses SQLite by default; it is easy for Django users as such it won’t require any other type of installation. In the case your database choice is different that you have to the following keys in the DATABASE ‘default’ item to match your database connection settings.
Engines: you can change database by using ‘django.db.backends.sqlite3’ , ‘django.db.backeneds.mysql’, ‘django.db.backends.postgresql_psycopg2’, ‘django.db.backends.oracle’ and so on
Name: The name of your database. In the case if you are using SQLite as your database, in that case database will be a file on your computer, Name should be a full absolute path, including file name of that file.
If you are not choosing SQLite as your database then settings like Password, Host, User, etc. must be added.
Django uses SQLite as default database, it stores data as a single file in the filesystem. If you do have a database server—PostgreSQL, MySQL, Oracle, MSSQL—and want to use it rather than SQLite, then use your database’s administration tools to create a new database for your Django project. Either way, with your (empty) database in place, all that remains is to tell Django how to use it. This is where your project’s settings.py file comes in.
17. Mention what the Django templates consists of.
The template is a simple text file. It can create any text-based format like XML, CSV, HTML, etc. A template contains variables that get replaced with values when the template is evaluated and tags (% tag %) that controls the logic of the template.
18. Explain the use of session in Django framework?
Django provides session that lets you store and retrieve data on a per-site-visitor basis. Django abstracts the process of sending and receiving cookies, by placing a session ID cookie on the client side, and storing all the related data on the server side.
19. List out the inheritance styles in Django.
Abstract Base Classes: This style is used when you only wants parent’s class to hold information that you don’t want to type out for each child model.
Multi-table Inheritance: This style is used If you are sub-classing an existing model and need each model to have its own database table.
Proxy models: You can use this model, If you only want to modify the Python level behavior of the model, without changing the model’s fields.
20. What is map function in Python?
map function executes the function given as the first argument on all the elements of the iterable given as the second argument. If the function given takes in more than 1 arguments, then many iterables are given. #Follow the link to know more similar functions.
21. What advantages do NumPy arrays offer over (nested) Python lists?
Python’s lists are efficient general-purpose containers. They support (fairly) efficient insertion, deletion, appending, and concatenation, and Python’s list comprehensions make them easy to construct and manipulate.
They have certain limitations: they don’t support “vectorized” operations like elementwise addition and multiplication, and the fact that they can contain objects of differing types mean that Python must store type information for every element, and must execute type dispatching code when operating on each element.
NumPy is not just more efficient; it is also more convenient. You get a lot of vector and matrix operations for free, which sometimes allow one to avoid unnecessary work. And they are also efficiently implemented.
NumPy array is faster and You get a lot built in with NumPy, FFTs, convolutions, fast searching, basic statistics, linear algebra, histograms, etc.
22. Explain the use of decorators.
Decorators in Python are used to modify or inject code in functions or classes. Using decorators, you can wrap a class or function method call so that a piece of code can be executed before or after the execution of the original code. Decorators can be used to check for permissions, modify or track the arguments passed to a method, logging the calls to a specific method, etc.
23. What is the difference between NumPy and SciPy?
In an ideal world, NumPy would contain nothing but the array data type and the most basic operations: indexing, sorting, reshaping, basic elementwise functions, et cetera.
All numerical code would reside in SciPy. However, one of NumPy’s important goals is compatibility, so NumPy tries to retain all features supported by either of its predecessors.
Thus NumPy contains some linear algebra functions, even though these more properly belong in SciPy. In any case, SciPy contains more fully-featured versions of the linear algebra modules, as well as many other numerical algorithms.
If you are doing scientific computing with python, you should probably install both NumPy and SciPy. Most new features belong in SciPy rather than NumPy.
24. How do you make 3D plots/visualizations using NumPy/SciPy?
Like 2D plotting, 3D graphics is beyond the scope of NumPy and SciPy, but just as in the 2D case, packages exist that integrate with NumPy. Matplotlib provides basic 3D plotting in the mplot3d subpackage, whereas Mayavi provides a wide range of high-quality 3D visualization features, utilizing the powerful VTK engine.
25. What is Python? What are the benefits of using Python?
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.
26. What is PEP 8?
PEP 8 is a coding convention, a set of recommendation, about how to write your Python code more readable.
27. What is pickling and unpickling?
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.
28. How Python is interpreted?
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.
29. How memory is managed in Python?
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.
30. What are the tools that help to find bugs or perform static analysis?
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.
31. What are Python decorators?
A Python decorator is a specific change that we make in Python syntax to alter functions easily.
32. What is the difference between list and tuple?
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.
33. How are arguments passed by value or by reference?
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.
34. What is Dict and List comprehensions are?
They are syntax constructions to ease the creation of a Dictionary or List based on existing iterable.
35. What is namespace in Python?
In Python, every name introduced has a place where it lives and can be hooked for. This is known as namespace. It is like a box where a variable name is mapped to the object placed. Whenever the variable is searched out, this box will be searched, to get corresponding object.
36. What is lambda in Python?
It is a single expression anonymous function often used as inline function.
37. Why lambda forms in python does not have statements?
A lambda form in python does not have statements as it is used to make new function object and then return them at runtime.
38. What is pass in Python?
Pass means, no-operation Python statement, or in other words it is a place holder in compound statement, where there should be a blank left and nothing has to be written there.
39. In Python what are iterators?
In Python, iterators are used to iterate a group of elements, containers like list.
40. What is unittest in Python?
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.
41. In Python what is slicing?
A mechanism to select a range of items from sequence types like list, tuple, strings etc. is known as slicing.
42. What are generators in Python?
The way of implementing iterators are known as generators. It is a normal function except that it yields expression in the function.
43. What is docstring in Python?
A Python documentation string is known as docstring, it is a way of documenting Python functions, modules and classes.
44. How can you copy an object in Python?
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.
45. What is negative index in Python?
Python sequences can be index in positive and negative numbers. For positive index, 0 is the first index, 1 is the second index and so forth. For negative index, (-1) is the last index and (-2) is the second last index and so forth.
46. How you can convert a number to a string?
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().
47. What is the difference between Xrange and range?
Xrange returns the xrange object while range returns the list, and uses the same memory and no matter what the range size is.
48. What is module and package in Python?
In Python, module is the way to structure program. Each Python program file is a module, which imports other modules like objects and attributes.
The folder of Python program is a package of modules. A package can have modules or subfolders.
49. Mention what are the rules for local and global variables in Python?
Local variables: If a variable is assigned a new value anywhere within the function's body, it's assumed to be local.
Global variables: Those variables that are only referenced inside a function are implicitly global.
50. How can you share global variables across modules?
To share global variables across modules within a single program, create a special module. Import the config module in all modules of your application. The module will be available as a global variable across modules.
51. Explain how to delete a file in Python?
By using a command os.remove (filename) or os.unlink(filename)
52. Explain how can you access a module written in Python from C?
You can access a module written in Python from C by following method,
Module = =PyImport_ImportModule("<modulename>");
53. Mention the use of // operator in Python?
It is a Floor Divisionoperator , which is used for dividing two operands with the result as quotient showing only digits before the decimal point. For instance, 10//5 = 2 and 10.0//5.0 = 2.0.
54. Mention five benefits of using Python?
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
55. Mention the use of the split function in Python?
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.
56. Explain what is Flask & its benefits?
Flask is a web micro framework for Python based on "Werkzeug, Jinja 2 and good intentions" BSD licensed. Werkzeug and jingja are two of its dependencies.
Flask is part of the micro-framework. Which means it will have little to no dependencies on external libraries. It makes the framework light while there is little dependency to update and less security bugs.
57. Mention what is the difference between Django, Pyramid, and Flask?
Flask is a "microframework" primarily build for a small application with simpler requirements. In flask, you have to use external libraries. Flask is ready to use.
Pyramid are build for larger applications. It provides flexibility and lets the developer use the right tools for their project. The developer can choose the database, URL structure, templating style and more. Pyramid is heavy configurable.
Like Pyramid, Django can also used for larger applications. It includes an ORM.
58. Mention what is Flask-WTF and what are their features?
Flask-WTF offers simple integration with WTForms. Features include for Flask WTF are
Integration with wtforms
Secure form with csrf token
Global csrf protection
File upload that works with Flask Uploads
59. Explain what is the common way for the Flask script to work?
The common way for the flask script to work is
Either it should be the import path for your application
Or the path to a Python file
60. Explain how you can access sessions in Flask?
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.
61. You are having multiple Memcache servers running Python, in which one of the memcacher server fails, and it has your data, will it ever try to get key data from that one failed server?
The data in the failed server won't get removed, but there is a provision for auto-failure, which you can configure for multiple nodes. Fail-over can be triggered during any kind of socket or Memcached server level errors and not during normal client errors like adding an existing key, etc.
62. Explain how you can minimize the Memcached server outages in your Python Development?
When one instance fails, several of them goes down, this will put larger load on the database server when lost data is reloaded as client make a request. To avoid this, if your code has been written to minimize cache stampedes then it will leave a minimal impact
Another way is to bring up an instance of Memcached on a new machine using the lost machines IP address
Code is another option to minimize server outages as it gives you the liberty to change the Memcached server list with minimal work
Setting timeout value is another option that some Memcached clients implement for Memcached server outage. When your Memcached server goes down, the client will keep trying to send a request till the time-out limit is reached
63. Explain what is Dogpile effect? How can you prevent this effect?
Dogpile effect is referred to the event when cache expires, and websites are hit by the multiple requests made by the client at the same time. This effect can be prevented by using semaphore lock. In this system when value expires, first process acquires the lock and starts generating new value.
64. Explain how Memcached should not be used in your Python project?
Memcached common misuse is to use it as a data store, and not as a cache
Never use Memcached as the only source of the information you need to run your application. Data should always be available through another source as well
Memcached is just a key or value store and cannot perform query over the data or iterate over the contents to extract information
Memcached does not offer any form of security either in encryption or authentication.
65. What will the maximum length of an identifier?
There is no certain length for Identifier, Identifier can be of any length.
66. What do you mean by Decorators?
For modifying or injecting code in functions or classes we use Decorators in Python. By the help of decorators, we can check for permissions and for logging the calls.
67. What do you mean by the dictionary in Python?
The built-in data types of Python known as Dictionary. For e.g. “Country”.
68. Explain the Memory Management in python?
Python memory is management is done by python private heap space. All the objects and data structures of pythons are located in private heap.
69. Explain Python is one Line?
Python is a modern powerful interpreted language with threads, objects, modules, exceptions and also have the property of automatic memory management.
70. Explain the interpretation in Python?
Programs in python run directly from the source code.
71. Explain the rules for local and global variables in Python?
Global variable: If the variable is defined outside function then it is Global.
Local Variable: If a variable is assigned new value inside the function then it is local
72. How to share global variable in Python?
By creating a config file and store the global variable to be shared across modules.
73. How to pass optional or keyword parameters from one function to another in Python?
We can arrange arguments using the * and ** specifiers in the function’s parameter list.
74. What are the different types of sequences in Python?
Different types of sequences in Python are Strings, Unicode strings, lists, tuples, buffers and xrange objects.
75. What is Lambda form in Python?
Lambda keyword is used to create small random anonymous throw away functions.
76. What is Pickling in Python?
Pickle is a standard module which serializes and de-serializes a python object structure.
77. How can an object be copied in Python?
By using two ways objects can be copied in python: Shallow copy & Deep copy.
78. How do I convert a string to a number?
There are different built-in functions by which we can convert values from one data type to another.
79. Describe how to send email from a Python Script?
The smtplib module is used to defines an SMTP client session object that can be used to send email using Pythons Script.
80. What is the command used for exiting help command prompt?
The command name is “quit”
81. Mention the way to display the text contents of the files in the reverse order?
First, convert the file into the list and after that reverse this list by utilizing reversed ().
82. What are ODBS modules for Python?
PythonWin ODBC module 2. MxODBC 3. Pyodbc
83. What will append() and extend methods do?
append() adds the element at the end.
extend() adds the elements of a different list at the end.
84. What is TKIner?
The Tklner is the library of Python. It is one of the toolkits for developing the GUI.
85. What is the difference between Java and Python?
Java has a static data type while Python has a dynamic typed-data type.
86. How Does Python Handle 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 memory for Python objects.
Python employs a built-in garbage collector, which salvages all the unused memory and offloads it to the heap space.
87. 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.
88. What Are The Optional Statements Possible Inside A Try-Except Block In Python?
There are two optional clauses you can use in the try-except block.
The “else” clause
It is useful if you want to run a piece of code when the try block doesn’t create an exception.
The “finally” clause
It is useful when you want to execute some steps which run, irrespective of whether there occurs an exception or not.
89. What Is A String In Python?
A string in Python is a sequence of alpha-numeric characters. They are immutable objects. It means that they don’t allow modification once they get assigned a value. Python provides several methods, such as join(), replace(), or split() to alter strings. But none of these change the original object.
90. What Is Slicing In Python?
Slicing is a string operation for extracting a part of the string, or some part of a list. In Python, a string (say text) begins at index 0, and the nth character stores at position text[n-1]. Python can also perform reverse indexing, i.e., in the backward direction, with the help of negative numbers. In Python, the slice() is also a constructor function which generates a slice object. The result is a set of indices mentioned by range(start, stop, step). The slice() method allows three parameters. 1. start – starting number for the slicing to begin. 2. stop – the number which indicates the end of slicing. 3. step – the value to increment after each index (default = 1).
91. What Is %S In Python?
Python has support for formatting any value into a string. It may contain quite complex expressions.
One of the common usages is to push values into a string with the %s format specifier. The formatting operation in Python has the comparable syntax as the C function printf() has.
92. What Is Docstring In Python?
A docstring is a unique text that happens to be the first statement in the following Python constructs:
Module, Function, Class, or Method definition.
A docstring gets added to the __doc__ attribute of the string object.
Now, read some of the Python interview questions on functions.
93. What Is A Function In Python Programming?
A function is an object which represents a block of code and is a reusable entity. It brings modularity to a program and a higher degree of code reusability.
Python has given us many built-in functions such as print() and provides the ability to create user-defined functions.
94. How Do We Write A Function In Python?
We can create a Python function in the following manner.
Step-1: to begin the function, start writing with the keyword def and then mention the function name.
Step-2: We can now pass the arguments and enclose them using the parentheses. A colon, in the end, marks the end of the function header.
Step-3: After pressing an enter, we can add the desired Python statements for execution.
95. What Is A Function Call Or A Callable Object In Python?
A function in Python gets treated as a callable object. It can allow some arguments and also return a value or multiple values in the form of a tuple. Apart from the function, Python has other constructs, such as classes or the class instances which fits in the same category.
96. What Is The Return Keyword Used For In Python?
The purpose of a function is to receive the inputs and return some output.
The return is a Python statement which we can use in a function for sending a value back to its caller.
97. What Is “Call By Reference” In Python?
We use both “call-by-reference” and “pass-by-reference” interchangeably. When we pass an argument by reference, then it is available as an implicit reference to the function, rather than a simple copy. In such a case, any modification to the argument will also be visible to the caller.
This scheme also has the advantage of bringing more time and space efficiency because it leaves the need for creating local copies.
On the contrary, the disadvantage could be that a variable can get changed accidentally during a function call. Hence, the programmers need to handle in the code to avoid such uncertainty.
98. What Is The Return Value Of The Trunc() Function?
The Python trunc() function performs a mathematical operation to remove the decimal values from a particular expression and provides an integer value as its output.
99. What Does The Continue Do In Python?
The continue is a jump statement in Python which moves the control to execute the next iteration in a loop leaving all the remaining instructions in the block unexecuted.
The continue statement is applicable for both the “while” and “for” loops.
100. When Should You Use The “Break” In Python?
Python provides a break statement to exit from a loop. Whenever the break hits in the code, the control of the program immediately exits from the body of the loop.
The break statement in a nested loop causes the control to exit from the inner iterative block.
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