Qualcomm Python Interview Questions

Qualcomm Interview Preparation Tips

1.Review Data Structures and Algorithms if you haven’t already.

• You should be able to compare and contrast simple Python data structures with the above abstract data structures and explain how you can enforce stack functionality using existing Python data structures such as Lists or implementing your own class implementation such as LinkedList.
• You should be familiar with basic Python data structures such as lists, dictionaries, and tuples, as well as how to create groups.

2. Know how to write code on a whiteboard or paper

You should be happy with Python. If you’re preparing for an interview with a Python developer, it seems obvious that you should know Python. You should be able to show some Python constructs on the board, such as loops, control flow models, and list comprehensions, and describe at least some simple classes. When you go to a Python job interview, chances are the interviewer won’t have a computer, so you’ll need to know how to code on paper or a whiteboard, which you’ll only be able to do if you know the basics.

3. Demonstrate your Hobby Projects

Providing a significant amount of code that demonstrates your ability to create working software is a perfect way to show that you can code. This can be a basic web interface, a data processing script, or a small desktop program. The goal is to demonstrate your ability in a Python developer interview that you write well-organized, idiomatic, and understandable code.

4. Having a basic understanding of front-end technology is important (HTML5, CSS3, JavaScript)

The Python developer also works with the frontend team to keep the server and client in sync. As a result, it is important to consider how the front end works, what is likely and what is not, and what the application will look like. That’s not to say that frontend is a necessary skill for a Python developer, but you might get questions about it in a Python developer interview.

5. Have the understanding to comprehend and solve problems

A willingness to understand the problem, the use case, the potential that can be exploited in the software and then translate it into code will set you apart from the crowd. This requires the use of both hard and soft skills. You must be able to listen carefully to a feature request or bug description and recognize relevant information, as well as ask follow-up questions to get additional key details. If you want to crack the Python developer interview, you need to make sure that you inculcate problem solving and analytical skills as they will help you handle challenging scenarios with ease.

6. Know the basics of other technologies

In fact, assuming you’ll only ever work for one technology or programming language is clearly not a smart idea in terms of long-term employability. It is recommended to pay attention and be prepared for other technologies such as JavaScript, CSS, Java and so on. This reflects your capacity and desire to learn new skills that would help the business you are applying for. Apart from being able to instill enough knowledge to interview a Python developer, you need to be clear on the basics so that you can move to newer technologies and frameworks in the future.

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Python Interview Questions for Freshers

1. What is Python? List some popular applications of Python in the world of technology.

Python is a widely-used general-purpose, high-level programming language. It was created by Guido van Rossum in 1991 and further developed by the Python Software Foundation. It was designed with an emphasis on code readability, and its syntax allows programmers to express their concepts in fewer lines of code.
It is used for:

• System Scripting
• Web Development
• Game Development
• Software Development
• Complex Mathematics

2. What are the benefits of using Python language as a tool in the present scenario?

The following are the benefits of using Python language:

• Object-Oriented Language
• High-Level Language
• Dynamically Typed language
• Extensive support Libraries
• Presence of third-party modules
• Open source and community development
• Portable and Interactive
• Portable across Operating systems

3. Is Python a compiled language or an interpreted language?

Actually, Python is a partially compiled language and partially interpreted language. The compilation part is done first when we execute our code and this will generate byte code internally this byte code gets converted by the Python virtual machine(p.v.m) according to the underlying platform(machine+operating system).

‘#’ is used to comment on everything that comes after on the line.

5. What is the difference between a Mutable datatype and an Immutable data type?

Mutable data types can be edited i.e., they can change at runtime. Eg – List, Dictionary, etc.
Immutable data types can not be edited i.e., they can not change at runtime. Eg – String, Tuple, etc.

6. How are arguments passed by value or by reference in Python?

In Python, arguments are passed by object reference (also called “pass by assignment”). This means that functions receive references to the same objects:

• Mutable objects (like lists or dictionaries) can be modified within the function.
• Immutable objects (like integers or strings) cannot be changed and reassigning them inside the function doesn’t affect the original object.

7. What is the difference between a Set and Dictionary?

The set is an unordered collection of data types that is iterable, mutable and has no duplicate elements.
A dictionary in Python is an ordered collection of data values, used to store data values like a map.

8. What is List Comprehension? Give an Example.

List comprehension is a syntax construction to ease the creation of a list based on existing iterable.

For Example:

my_list = [i for i in range(1, 10)]

9. What is a lambda function?

A lambda function is an anonymous function. This function can have any number of parameters but, can have just one statement. For Example:

a = lambda x, y : x*y
print(a(7, 19))

10. What is a pass in Python?

Pass means performing no operation or in other words, it is a placeholder in the compound statement, where there should be a blank left and nothing has to be written there.

11. What is the difference between / and // in Python?

/ represents precise division (result is a floating point number) whereas // represents floor division (result is an integer). For Example:

5//2 = 2
5/2 = 2.5

12. How is Exceptional handling done in Python?

There are 3 main keywords i.e. try, except, and finally which are used to catch exceptions and handle the recovering mechanism accordingly. Try is the block of a code that is monitored for errors. Except block gets executed when an error occurs.

The beauty of the final block is to execute the code after trying for an error. This block gets executed irrespective of whether an error occurred or not. Finally, block is used to do the required cleanup activities of objects/variables.

13. What is swapcase function in Python?

It is a string’s function that converts all uppercase characters into lowercase and vice versa. It is used to alter the existing case of the string. This method creates a copy of the string which contains all the characters in the swap case. For Example:

string = "GeeksforGeeks"
string.swapcase() ---> "gEEKSFORgEEKS"

14. Difference between for loop and while loop in Python

The “for” Loop is generally used to iterate through the elements of various collection types such as List, Tuple, Set, and Dictionary. Developers use a “for” loop where they have both the conditions start and the end. Whereas, the “while” loop is the actual looping feature that is used in any other programming language. Programmers use a Python while loop where they just have the end conditions.

15. Can we Pass a function as an argument in Python?

Yes, Several arguments can be passed to a function, including objects, variables (of the same or distinct data types), and functions. Functions can be passed as parameters to other functions because they are objects. Higher-order functions are functions that can take other functions as arguments.

Intermediate Python Interview Questions

16. What is the difference between xrange and range functions?

range() and xrange() are two functions that could be used to iterate a certain number of times in for loops in Python.

• In Python 3, there is no xrange, but the range function behaves like xrange.
• In Python 2
  • range() – This returns a range object, which is an immutable sequence type that generates the numbers on demand.
  • xrange() – This function returns the generator object that can be used to display numbers only by looping. The only particular range is displayed on demand and hence called lazy evaluation.

17. What is Dictionary Comprehension? Give an Example

Dictionary Comprehension is a syntax construction to ease the creation of a dictionary based on the existing iterable.

For Example: my_dict = {i:i+7 for i in range(1, 10)}

18. Is Tuple Comprehension? If yes, how, and if not why?

(i for i in (1, 2, 3))

Tuple comprehension is not possible in Python because it will end up in a generator, not a tuple comprehension.

19. Differentiate between List and Tuple?

Let’s analyze the differences between List and Tuple:

List

• Lists are Mutable datatype.
• Lists consume more memory
• The list is better for performing operations, such as insertion and deletion.
• The implication of iterations is Time-consuming

Tuple

• Tuples are Immutable datatype.
• Tuple consumes less memory as compared to the list
• A Tuple data type is appropriate for accessing the elements
• The implication of iterations is comparatively Faster

20. What is the difference between a shallow copy and a deep copy?

Shallow copy is used when a new instance type gets created and it keeps values that are copied whereas deep copy stores values that are already copied.

A shallow copy has faster program execution whereas a deep copy makes it slow.

21. Which sorting technique is used by sort() and sorted() functions of python?

Python uses the Tim Sort algorithm for sorting. It’s a stable sorting whose worst case is O(N log N). It’s a hybrid sorting algorithm, derived from merge sort and insertion sort, designed to perform well on many kinds of real-world data.

22. What are Decorators?

Decorators are a very powerful and useful tool in Python as they are the specific change that we make in Python syntax to alter functions easily.

23. How do you debug a Python program?

By using this command we can debug a Python program:

$ python -m pdb python-script.py

24. What are Iterators in Python?

In Python, iterators are used to iterate a group of elements, containers like a list. Iterators are collections of items, and they can be a list, tuples, or a dictionary. Python iterator implements __itr__ and the next() method to iterate the stored elements. We generally use loops to iterate over the collections (list, tuple) in Python.

25. What are Generators in Python?

In Python, the generator is a way that specifies how to implement iterators. It is a normal function except that it yields expression in the function. It does not implement __itr__ and __next__ method and reduces other overheads as well.

If a function contains at least a yield statement, it becomes a generator. The yield keyword pauses the current execution by saving its states and then resumes from the same when required.

26. Does Python supports multiple Inheritance?

Python does support multiple inheritances, unlike Java. Multiple inheritances mean that a class can be derived from more than one parent class.

27. What is Polymorphism in Python?

Polymorphism means the ability to take multiple forms. Polymorphism allows different classes to be treated as if they are instances of the same class through a common interface. This means that a method in a parent class can be overridden by a method with the same name in a child class, but the child class can provide its own specific implementation. This allows the same method to operate differently depending on the object that invokes it. Polymorphism is about overriding, not overloading; it enables methods to operate on objects of different classes, which can have their own attributes and methods, providing flexibility and reusability in the code.

28. Define encapsulation in Python?

Encapsulation means binding the code and the data together. A Python class is an example of encapsulation.

29. How do you do data abstraction in Python?

Data Abstraction is providing only the required details and hides the implementation from the world. It can be achieved in Python by using interfaces and abstract classes.

30. How is memory management done in Python?

Python uses its private heap space to manage the memory. Basically, all the objects and data structures are stored in the private heap space. Even the programmer can not access this private space as the interpreter takes care of this space. Python also has an inbuilt garbage collector, which recycles all the unused memory and frees the memory and makes it available to the heap space.

Advanced Python Interview Questions & Answers 

31. What is PIP?

PIP is an acronym for Python Installer Package which provides a seamless interface to install various Python modules. It is a command-line tool that can search for packages over the internet and install them without any user interaction.

32. What is a zip function?

Python zip() function returns a zip object, which maps a similar index of multiple containers. It takes an iterable, converts it into an iterator and aggregates the elements based on iterables passed. It returns an iterator of tuples.

33. What are Pickling and Unpickling?

The Pickle module accepts any Python object and converts it into a string representation and dumps it into a file by using the dump function, this process is called pickling. While the process of retrieving original Python objects from the stored string representation is called unpickling.

34. What is monkey patching in Python?

In Python, the term monkey patch only refers to dynamic modifications of a class or module at run-time.

# g.py
class GeeksClass:
    def function(self):
        print "function()"

import m
def monkey_function(self):
    print "monkey_function()"
 
m.GeeksClass.function = monkey_function
obj = m.GeeksClass()
obj.function()

35. What is __init__() in Python?

The __init__() method in Python is equivalent to constructors in OOP terminology. It is a reserved method in Python classes and is called automatically whenever a new object is instantiated. This method is used to initialize the object’s attributes with values. While __init__() initializes the object, it does not allocate memory. Memory allocation for a new object is handled by the __new__() method, which is called before __init__().

36. Write a code to display the current time?

import time

currenttime= time.localtime(time.time())
print (“Current time is”, currenttime)

37. What are Access Specifiers in Python?

Python uses the ‘_’ symbol to determine the access control for a specific data member or a member function of a class. A Class in Python has three types of Python access modifiers:

• Public Access Modifier: The members of a class that are declared public are easily accessible from any part of the program. All data members and member functions of a class are public by default.
• Protected Access Modifier: The members of a class that are declared protected are only accessible to a class derived from it. All data members of a class are declared protected by adding a single underscore ‘_’ symbol before the data members of that class.
• Private Access Modifier: The members of a class that are declared private are accessible within the class only, the private access modifier is the most secure access modifier. Data members of a class are declared private by adding a double underscore ‘__’ symbol before the data member of that class.

38. What are unit tests in Python?

Unit Testing is the first level of software testing where the smallest testable parts of the software are tested. This is used to validate that each unit of the software performs as designed. The unit test framework is Python’s xUnit style framework. The White Box Testing method is used for Unit testing.

39. Python Global Interpreter Lock (GIL)?

Python Global Interpreter Lock (GIL) is a type of process lock that is used by Python whenever it deals with processes. Generally, Python only uses only one thread to execute the set of written statements. The performance of the single-threaded process and the multi-threaded process will be the same in Python and this is because of GIL in Python. We can not achieve multithreading in Python because we have a global interpreter lock that restricts the threads and works as a single thread.

40. What are Function Annotations in Python?

Function Annotation is a feature that allows you to add metadata to function parameters and return values. This way you can specify the input type of the function parameters and the return type of the value the function returns.

Function annotations are arbitrary Python expressions that are associated with various parts of functions. These expressions are evaluated at compile time and have no life in Python’s runtime environment. Python does not attach any meaning to these annotations. They take life when interpreted by third-party libraries, for example, mypy.

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Conclusion

We hope this article was helpful for anyone who wants to prepare for the Qualcomm Python interview. We have explained the process of preparing for a job interview in Python. If you are someone who wants to gain a well-rounded knowledge of the language, Entri has come up with a Programming with Python Foundation course that offers students a detailed explanation of concepts like Python programming, Python data types, and building databases using SQL. You can download Entri app from Play Store where you can find detailed questions, answer keys and competitive exam preparation planning guide.

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