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Python Interview Questions for Experienced: Part – 2

Python Interview Questions for Experienced: Part - 2

Python Interview Questions for Experienced Part 2

11. What is PYTHONPATH in Python?

PYTHONPATH is an environment variable in Python used to specify additional directories where Python should look for modules and packages when importing. It helps in extending the search path for Python modules.

12. What is the use of help() and dir() functions?

The help() function in Python is used to get information about objects, modules, functions, etc. It provides interactive help while coding. The dir() function returns a list of attributes and methods of an object, helping in introspection.

13. How do .py files differ from .pyc files?

.py files are Python source files containing human-readable code, while .pyc files are compiled bytecode files generated by Python after the first execution of a .py file. .pyc files are platform-independent and are used to speed up subsequent executions of the same code.

14. How Python is interpreted?

Python code is executed using an interpreter. It translates Python code into intermediate bytecode, which is then executed by the Python interpreter either directly or using a Just-In-Time (JIT) compiler in some implementations like PyPy.

15. In Python, what determines whether arguments are passed by value or by reference?

In Python, arguments are passed by object reference. When a function is called, references to objects are passed as arguments. Changes made to mutable objects inside the function are reflected outside the function, while reassigning immutable objects creates new references.

16. What are iterators in Python?

Iterators in Python are objects that allow iteration over a sequence of elements. They implement the iterator protocol, providing the __iter__() and __next__() methods. Iterators are used in loops to traverse through elements efficiently.

17. Explain how to delete a file in Python?

To delete a file in Python, you can use the os.remove() function from the os module or os.unlink() to remove a file by its path. Additionally, the os.path module provides methods to check if a file exists before deletion.

18. Explain split() and join() functions in Python?

The split() function in Python is used to split a string into a list of substrings based on a delimiter. Conversely, the join() function joins a list of strings into a single string using a specified separator.

19. What does *args and kwargs mean?

In Python, *args and **kwargs are used to pass a variable number of arguments to a function. *args collects positional arguments into a tuple, while **kwargs collects keyword arguments into a dictionary, allowing flexibility in function definitions.

20. Explain the purpose and functionality of negative indexes in Python.

Negative indexes in Python are used to access elements from the end of a sequence. They provide a convenient way to access elements relative to the end of a list, tuple, or string without needing to know the length of the sequence beforehand.

In conclusion,​

mastering Python is a continuous journey, and these interview questions serve as a guide for experienced professionals. Embrace these insights to confidently navigate interviews, showcasing your expertise, problem-solving abilities, and deep understanding of Python’s versatility in real-world applications. Keep coding and exploring new horizons in the realm of Python!

Ready to take your Python skills to the next level? Explore our top-notch Python Training in Chennai. Our expert instructors and hands-on approach ensure that you not only ace interviews but also thrive in real-world scenarios. To kickstart your journey to Python excellence, contact us at +91 9655-333-334. Secure your future today with the best Python Training in Chennai. Don’t miss out on the chance to propel your career forward!

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python

Python Interview Questions for Experienced: Part – 1

Python Interview Questions for Experienced: Part - 1

Python Interview Questions for Experienced Part 1

1. How is memory managed in Python?

Memory management in Python is handled by its private heap space. The Python memory manager takes care of the allocation and deallocation of memory, utilizing a private heap to manage objects. It has an in-built garbage collector that reclaims memory by deallocating objects that are no longer referenced.

2. What are Python namespaces? Why are they used?

Python namespaces are containers that hold names mapped to objects in a program. They help avoid naming conflicts by providing a unique space for every identifier. Namespaces are used to organize and manage names in a codebase, preventing naming collisions and making it easier to understand and maintain code.

3. What is Scope Resolution in Python?

Scope resolution in Python refers to the process of determining the value of a variable within a program. Python follows the LEGB rule (Local, Enclosing, Global, Built-in) to resolve variable names based on their scope. It looks for a variable in the local scope first and then moves to higher scopes if not found.

4. What are decorators in Python?

Decorators in Python serve as functions altering the functionality of other functions. They allow you to add functionality to existing functions dynamically without changing their code. Decorators are commonly used for logging, authorization, caching, and more.

5. What are Dict and List comprehensions?

Dict and list comprehensions are concise ways to create dictionaries and lists respectively in Python. They provide a compact syntax for generating these data structures from iterable objects using a single line of code, often involving loops and conditional statements.

6. What is lambda in Python? Why is it used?

Lambda functions in Python are small, anonymous functions defined using the lambda keyword. They are used for creating small, throwaway functions without the need to formally define a function using def. Lambdas are commonly used in situations where a simple function is needed for a short period of time.

7. Explain the process of duplicating an object in Python.

The copy module in Python facilitates the copying of objects. The copy.copy() function creates a shallow copy of an object, while copy.deepcopy() creates a deep copy, allowing modification of the copied object without affecting the original.

8. How do xrange and range differ in Python?

In Python 2, range() returns a list while xrange() returns an xrange object which behaves like an iterator, saving memory for large ranges. However, in Python 3, range() itself behaves like the Python 2 xrange() and returns a range object which is more memory efficient.

9. What is pickling and unpickling?

Pickling is the process of converting a Python object into a byte stream, while unpickling is the reverse process of restoring a Python object from a byte stream. It’s commonly used for object serialization and storage.

10. What are generators in Python?

Generators in Python are functions that yield a sequence of values using the yield keyword. They generate values lazily, one at a time, allowing efficient memory usage, especially for large data sets or infinite sequences.

In conclusion,

mastering Python is a continuous journey, and these interview questions serve as a guide for experienced professionals. Embrace these insights to confidently navigate interviews, showcasing your expertise, problem-solving abilities, and deep understanding of Python’s versatility in real-world applications. Keep coding and exploring new horizons in the realm of Python!

Ready to take your Python skills to the next level? Explore our top-notch Python Training in Chennai. Our expert instructors and hands-on approach ensure that you not only ace interviews but also thrive in real-world scenarios. To kickstart your journey to Python excellence, contact us at +91 9655-333-334. Secure your future today with the best Python Training in Chennai. Don’t miss out on the chance to propel your career forward!

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python

Python Interview Questions for Freshers: Part – 2

Python Interview Questions for Freshers: Part - 2

Python Interview Questions for Freshers Part 2

11. What is the use of self in Python?

‘self’ is a convention in Python used to represent the instance of a class. It is the first parameter in methods and is used to access and modify attributes or call other methods within the class.

12. What is init?

‘init’ is a special method in Python classes used to initialize objects. It gets executed automatically when a new instance of the class is created and is commonly used to initialize instance variables.

13. What is a break, continue, and pass in Python?

‘break’ is used to exit a loop, ‘continue’ is used to skip the current iteration and continue with the next iteration, while ‘pass’ is a no-operation placeholder statement.

14. What are unit tests in Python?

Unit tests are used to validate individual units or components of a software application in Python. They check if each part of the program performs as expected, ensuring the correctness of small sections of code.

15. What is docstring in Python?

A docstring is a string literal used to document Python modules, classes, functions, or methods. It serves as a documentation tool, providing information about the purpose, usage, and parameters of the code.

16. What is slicing in Python?

Slicing in Python is a technique used to extract a portion of a sequence (like a list, string, or tuple) by specifying a start and end index. It creates a new sequence containing elements from the original based on the specified indices.

17. How do you create an executable Python Script on Unix?

You can make a Python script executable on Unix by adding a shebang line at the beginning of the script (e.g., #!/usr/bin/env python3), setting the executable permission using chmod +x script.py, and running it directly with ./script.py.

18. How do Python arrays differ from lists?

Python lists can contain elements of different data types and are resizable. On the other hand, arrays in Python (from the array module) hold elements of the same data type and have a fixed size once created. Arrays offer more efficient storage and operations for homogeneous data compared to lists.

In conclusion,

Python interview questions offer a solid foundation for freshers. Embracing these concepts ranging from basics to essential libraries—equips newcomers to confidently tackle interviews and embark on a successful Python-oriented career journey. With practice and understanding, mastering these fundamentals becomes a stepping stone to thriving in the programming landscape.

Ready to take your Python skills to the next level? Explore our top-notch Python Training in Chennai. Our expert instructors and hands-on approach ensure that you not only ace interviews but also thrive in real-world scenarios. To kickstart your journey to Python excellence, contact us at +91 9655-333-334. Secure your future today with the best Python Training in Chennai. Don’t miss out on the chance to propel your career forward!

Python Interview Questions for Freshers: Part – 1

Categories
python

Python Interview Questions for Freshers: Part – 1

Python Interview Questions for Freshers: Part - 1

Python Interview Questions for Freshers Part 1

1. What is Python?

Python, recognized for its simplicity and readability, operates as a high-level, interpreted programming language. It supports multiple programming paradigms and is widely used in various domains like web development, data analysis, artificial intelligence, and more.

2. What is a dynamically typed language?

In a dynamically typed language like Python, variable types are not explicitly declared. Instead, the type of a variable is interpreted during execution, allowing more flexibility but potentially leading to runtime errors if types are incompatible.

3. What is an Interpreted language?

An interpreted language, like Python, executes instructions directly without prior compilation. The interpreter reads and executes the code line by line, translating it to machine code or an intermediate representation on the fly.

4. What does PEP 8 entail, and what significance does it hold in programming?

PEP 8 is a style guide for Python code. It offers guidelines on how to format and structure code for better readability and consistency. Adhering to PEP 8 improves code maintainability, readability, and collaboration among developers.

5. What is Scope in Python?

Scope defines the visibility and accessibility of variables within a program. In Python, variables can have global, local, or nonlocal scope, determining where they can be accessed or modified.

6. What are lists and tuples? What is the key difference between the two?

Both lists and tuples belong to the sequence data types within Python.  Lists are mutable (modifiable), denoted by square brackets, while tuples are immutable (unchangeable), denoted by parentheses. This means tuples cannot be altered after creation, whereas lists can be modified.

7. What are the common built-in data types in Python?

Python includes various built-in data types such as integers, floating-point numbers, strings, lists, tuples, dictionaries, and sets, among others, each serving different purposes and functionalities.

8. What is pass in Python?

‘pass’ is a keyword in Python used as a placeholder for syntactical purposes. It serves as a null operation, indicating that no action needs to be taken, primarily used when a statement is syntactically required but no action is necessary.

9. What are modules and packages in Python?

Modules are individual Python files that contain functions, variables, and classes. Packages are a collection of related modules organized in directories. They help in organizing and reusing code across different Python projects.

10. What are global, protected, and private attributes in Python?

Global attributes are accessible from anywhere in the code, while protected attributes are conventionally marked by a single underscore (_) indicating that they should not be accessed directly. Private attributes, denoted by double underscores (__) are meant to be inaccessible outside their class in Python.

In conclusion,​

Python interview questions offer a solid foundation for freshers. Embracing these concepts ranging from basics to essential libraries—equips newcomers to confidently tackle interviews and embark on a successful Python-oriented career journey. With practice and understanding, mastering these fundamentals becomes a stepping stone to thriving in the programming landscape.

Ready to take your Python skills to the next level? Explore our top-notch Python Training in Chennai. Our expert instructors and hands-on approach ensure that you not only ace interviews but also thrive in real-world scenarios. To kickstart your journey to Python excellence, contact us at +91 9655-333-334. Secure your future today with the best Python Training in Chennai. Don’t miss out on the chance to propel your career forward!

Python Interview Questions for Freshers: Part – 2

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