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Must-Know Tips to Clear Your Python Coding Interview




Python is not only one of the most popular programming languages, but it is also employed in a variety of fields. Python programming language and related frameworks have unexpectedly seen an increase in job vacancies due to its strong reliance and usage in a variety of sectors.


Python programmers are in high demand because the language easily addresses problems in fields such as web development, data science, artificial intelligence, cloud computing, and cybersecurity. Python developer job vacancies increased significantly in 2022.


Here are a few things that you should know to clear your python questions for interview tips :


1. Using generators as an alternative to list comprehension When working with smaller lists, list comprehensions are extremely useful. When using list comprehension for longer lists, it can take a long time to complete, slowing down your program. As a result, Python has generators to assist you in creating your iterator routines. It’s a sort of Python function that, instead of returning a single value, returns an iterator object with a list of values.


2. Arguments to the sort() method Python has a built-in function named sort() that sorts the list in ascending order by default. However, it is not restricted to sorting lists; we may pass numerous arguments to this function to personalize the results to meet our specific requirements. To begin, we can use the reverse=True parameter in the sort method to get the list in descending order. Second, we can pass a value to the key, which is a function that acts as a sorting comparison key.


3. Python string formatting To construct new, formatted strings, Python uses string formatting similar to that of the C programming language. There are three ways to implement string formatting in your code: placeholders, the format() method, and formatting using string literals (f-strings).


4. Using breakpoint() to debug code We all admit to using print() to debug our Python code and giving all sorts of strange strings to see how far the print goes. However, although Python provides a function called breakpoint() to test the code at lines where we suspect there may be potential flaws or errors, this is a terrible technique and should not be employed.


5. Collection module in Python Python offers a fantastic module named collection that is used to implement container data types such as lists, dicts, sets, and tuples and eliminate their flaws. It includes namedtuple(), UserList, UserDict, UserString, deque, Chainmap, Counter, OrderedDict, and defaultdict data structures. Including these in your code improves its performance and makes day-to-day programming for Python developers easier.


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