25 Python Developer Interview Questions for All Levels

Try to implement fault tolerance, retries and prioritization of tasks in your program. Create a simple calculator that can perform basic arithmetic operations (addition, subtraction, multiplication and division) on two numbers. The program should take user input for both numbers and the desired operation.

python developer interview questions

Suppose that a college stores the information of its students in a data structure; in order for this information to remain immutable it should be stored in a tuple. The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Python provides a useful method issubclass(a,b) to check if class a is a subclass of b. A split() function works on strings to cut a large piece into smaller chunks, or sub-strings.

Question 26: How would you make a deep copy in Python?

Deep copies can be created using the deepcopy() method from the copy module. On the other hand, Flask has been my go-to choice for smaller-scale projects or when building RESTful APIs. Its lightweight nature and flexibility enabled me to quickly prototype ideas and develop custom solutions without unnecessary overhead. For instance, I once created a microservice using Flask that integrated with third-party APIs to aggregate and analyze social media data for sentiment analysis.

Mocking in testing refers to the practice of simulating specific behaviors, functionalities, or attributes. This is done to isolate a piece of code and test it without relying on external systems or real-world scenarios. Mocking allows a developer to ensure a function or module behaves as expected, even if dependencies change or are unpredictable.

Additional Common Python Interview Questions

Multiple developers working on the same project can have different coding styles. PEP 8 provides a standard, ensuring everyone writes code that looks familiar. Errors https://remotemode.net/ and exceptions in Python are handled using the try/except/finally statement. This statement allows you to wrap code to raise an exception in a try block.

  • That means that as the number of words grows, the number of lookups grows quadratically.
  • The intersection can be derived using `set(list1) & set(list2)`.
  • If the list does not contain the target, return an indication of failure, such as -1.
  • Utilize Python for back-end tasks, and the outcome is likely to be stable and efficient.

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. A docstring in Python is a string used for adding comments or summarizing a piece of code in Python. The main difference between javadoc and docstring is that docstring is available during runtime as well. Whereas, javadoc is removed from the bytecode and it is not present in .class file. We can even use Docstring comments at run time as an interactive help manual.