Hướng dẫn python intermediate interview questions

If you are looking to take your Python skills to the next level, you may be interested in interviewing for an Intermediate Python position. In this article, we will review some common questions that you may be asked during an Intermediate Python interview. By preparing for these questions, you can increase your chances of impressing the interviewer and landing the job.

Intermediate Python Interview Questions and Answers

Here are 20 commonly asked Intermediate Python interview questions and answers to prepare you for your interview:

1. What is pickling and unpickling in Python?

Pickling is the process of converting a Python object into a byte stream, while unpickling is the process of converting a byte stream back into a Python object. This can be useful if you want to save an object to disk or transmit it over a network.

2. What are some ways to make a copy of an object in Python?

Some ways to make a copy of an object in Python include using the copy module, using the pickle module, or using the deepcopy function.

3. Can you explain the difference between deep and shallow copies?

A shallow copy of an object will create a new object that contains the same values as the original object. A deep copy of an object will create a new object that contains the same values as the original object, as well as new objects for any child objects that the original object may contain.

4. How do you create a list that contains the same value multiple times?

You can create a list that contains the same value multiple times by using the * operator. For example, if you wanted to create a list that contained the number 5 three times, you could do so by writing [5] * 3.

5. What is the difference between an integer and long data type in Python?

In Python 3, there is no difference between an integer and a long data type. In Python 2, however, an integer is a data type that can store a 32-bit number, while a long is a data type that can store a 64-bit number.

6. How can you generate random numbers using Python?

There are a number of ways to generate random numbers in Python. One way is to use the random module, which provides a number of functions for generating random numbers. Another way is to use the NumPy library, which also provides a number of functions for generating random numbers.

7. What’s the best way to set up your local environment for running Python code on your computer?

The best way to set up your local environment for running Python code on your computer is to use a virtual environment. This will allow you to keep your Python dependencies separate from your system-level dependencies, and will make it easier to manage your Python development environment.

8. What are some important methods provided by lists in python?

Some important methods provided by lists in python include:

-append() – adds an element to the end of the list
-extend() – adds multiple elements to the end of the list
-insert() – inserts an element at a given index
-remove() – removes an element from the list
-pop() – removes an element from the end of the list
-index() – returns the index of a given element
-count() – returns the number of occurrences of a given element
-sort() – sorts the list in ascending order
-reverse() – reverses the order of the list

9. Can you give me some examples of when we should use each one of them?

There are four main types of loops in Python – for, while, break, and continue.

For loops are used when we want to iterate over a sequence of items. While loops are used when we want to keep repeating an action until a certain condition is met. Break is used to exit out of a loop, and continue is used to skip an iteration of a loop.

10. What does it mean to define something as static in Python?

Static methods in Python are those methods that are only bound to a class, and not to an instance of that class. This means that they can only be called from the class itself, and not from any instance of that class. Static methods are usually used for utility functions that don’t need to access any instance-specific data.

11. Is there a way to read input from the console without pressing enter after every line?

Yes, there is a way to read input from the console without pressing enter after every line. You can use the readline() function to do this.

12. What is the usage of self in Python?

The self keyword is used to define the instance of a class. When you create an object of a class, the Python interpreter will automatically pass the self keyword as the first argument.

13. What is the importance of using __init__() function in classes?

The __init__() function is important because it allows you to initialize your class objects with specific values. This can be helpful if you want to make sure that all of your objects start with the same values, or if you want to set different values for different objects.

14. What’s the difference between a class and an object in Python?

A class is a template for creating objects. An object is an instance of a class.

15. Do all objects have attributes in Python?

No, not all objects have attributes in Python. However, all objects do have methods, which are essentially just functions that are associated with a particular object.

16. What is a “magic” method?

A magic method is a method with a special name that Python uses to perform an operation on an object. For example, the __add__ magic method is called when two objects of the same type are added together.

17. Why would you want to override any of these magic methods in your own custom class definitions?

You might want to override a magic method in order to change the behavior of your class in a specific way. For example, if you have a custom class that represents a bank account, you might want to override the __str__ magic method in order to return a string that includes the account holder’s name and the account balance. Or, if you have a custom class that represents a deck of playing cards, you might want to override the __len__ magic method in order to return the number of cards remaining in the deck.

18. What is the importance of whitespace in Python?

Whitespace is important in Python because it is used to structure code. For example, code blocks are denoted by indentation, and without proper indentation, code will not run correctly. Additionally, whitespace can make code more readable and easier to understand.

19. Are dictionaries ordered in Python?

No, dictionaries are not ordered in Python.

20. What’s the difference between range and xrange functions in Python 2.x?

The range function returns a list of numbers, while the xrange function returns an iterator. In Python 3.x, there is only the range function, which behaves like the xrange function in Python 2.x.