10+ Efficient Technologies Interview Questions and Answers

Python compiles source code to bytecode for faster execution, stored in .pyc files.

• Python interpreter compiles source code to bytecode before execution

• Bytecode is platform-independent and faster to execute than source code

• Compiled bytecode is stored in .pyc files for future use and faster startup time

• If source code is modified, .pyc files are automatically recompiled

Difference between sort and sorted, dump vs dumps, load vs loads etc.

• sort() is a method of list object while sorted() is a built-in function

• dump() serializes an object to a file while dumps() serializes to a string

• load() deserializes an object from a file while loads() deserializes from a string

I have used multiple python modules for various purposes.

• I have used NumPy for numerical computations.

• I have used Pandas for data analysis and manipulation.

• I have used Matplotlib for data visualization.

• I have used Flask for web development.

• I have used Requests for making HTTP requests.

• I have used BeautifulSoup for web scraping.

• I have used Scikit-learn for machine learning tasks.

• I have used TensorFlow for deep learning tasks.

Python testing is a process of verifying the functionality of code. Unittest is a built-in testing framework in Python.

• Python testing is done to ensure that the code is working as expected.

• Unittest is a testing framework that comes with Python's standard library.

• It provides a set of tools for constructing and running tests.

• Tests are written as methods within a class that inherits from unittest.TestCase.

• Assertions are used to check if the expected output matches the actual out...read more

Lambda functions are anonymous functions that can be passed as arguments to other functions.

• Lambda functions are also known as anonymous functions because they don't have a name.

• They are often used as arguments to higher-order functions like map, reduce, and filter.

• Map applies a function to each element of an array and returns a new array with the results.

• Reduce applies a function to the elements of an array and returns a single value.

• Filter applies a function to each element...read more

Data structures in Python: dict, tuple, list, set, string

• dict: unordered collection of key-value pairs

• tuple: ordered, immutable collection of elements

• list: ordered, mutable collection of elements

• set: unordered collection of unique elements

• string: ordered collection of characters

List slices are a way to extract a portion of a list by specifying start and end indices.

• List slices are denoted by using square brackets with start and end indices separated by a colon.

• The start index is inclusive and the end index is exclusive.

• If the start index is omitted, it defaults to 0. If the end index is omitted, it defaults to the length of the list.

• Negative indices can be used to count from the end of the list.

• List slices return a new list with the specified portio...read more

Ownership of the project approach refers to taking responsibility for the project's success and making decisions accordingly.

• The owner of the project approach should have a clear understanding of the project's goals and objectives.

• They should be able to make informed decisions about the project's direction and prioritize tasks accordingly.

• The owner should also be accountable for the project's success or failure and be willing to take corrective action when necessary.

• Effective...read more

Yes, but only if the list is immutable.

• Lists are mutable and cannot be used as dict keys.

• Tuples are immutable and can be used as dict keys.

• If a list needs to be used as a key, it can be converted to a tuple.

Python uses automatic memory management through garbage collection.

• Python uses reference counting to keep track of objects in memory.

• When an object's reference count reaches zero, it is deleted by the garbage collector.

• Python also uses a cyclic garbage collector to detect and delete objects with circular references.

• Memory can be managed manually using the ctypes module.

• Python's memory management is efficient and transparent to the developer.

Authentication is the process of verifying the identity of a user or system.

• It ensures that only authorized users have access to a system or application.

• Authentication can be achieved through various methods such as passwords, biometrics, and two-factor authentication.

• Examples of authentication include logging into a social media account or accessing a secure building with an ID card.

• Authentication is often used in conjunction with authorization, which determines what actions...read more

Design patterns are reusable solutions to common problems in software design.

• Design patterns provide a structured approach to solving design problems.

• Python has several design patterns such as Singleton, Factory, Observer, etc.

• Each design pattern has its own purpose and usage.

• Design patterns promote code reusability, maintainability, and scalability.

• Understanding design patterns helps in writing cleaner and more efficient code.

Angular test cases are automated tests written to ensure the functionality of Angular applications.

• Angular test cases are written using testing frameworks like Jasmine and Karma.

• They test the components, services, and modules of an Angular application.

• Test cases can be run automatically during development or deployment to catch errors early.

• Examples of test cases include checking if a component renders correctly, if a service returns the expected data, or if a module is impor...read more

Django life cycle involves request processing, URL routing, view function execution, template rendering, and response generation.

• When a request is made, Django checks the URL patterns defined in urls.py file.

• If a match is found, the corresponding view function is executed.

• The view function processes the request and returns a response.

• The response is rendered using a template, if applicable.

• The final response is sent back to the client.

Threading in Python allows multiple threads of execution to run concurrently within a single process.

• Python's threading module provides a way to create and manage threads.

• Threads share the same memory space and can access the same variables and data structures.

• Threading can improve performance for I/O-bound tasks, but not for CPU-bound tasks.

• Python's Global Interpreter Lock (GIL) limits true parallelism in multi-threaded programs.

• Thread synchronization can be achieved using l...read more

Decorators are functions that modify the behavior of other functions or classes without changing their source code.

• Decorators are denoted by the '@' symbol in Python.

• They can be used to add functionality to a function or class, such as logging or timing.

• Decorators can also be used to create class decorators, which modify the behavior of a class.

• Examples of decorators include @staticmethod, @classmethod, and @property in Python.

• Decorators can be chained together to apply multi...read more