Whether you’re preparing for interviews or brushing up on your Python skills, these 15 frequently asked questions cover core concepts—from lists vs tuples to data analysis libraries like Pandas, list comprehensions, lambda functions, and dataset handling. A quick yet powerful Python refresher!
Here’s your list numbered:
- Explain the difference between lists and tuples.
- What is a Python dictionary?
- What are lambda functions?
- Explain list comprehensions and how they're used in Python.
- What is a negative index, and how is it used in Python?
- Name some well-known Python data analysis libraries.
- What is pandas? What is the use of it?
- What libraries do data scientists use to plot data in Python?
- Explain how the filter function works with an example.
- Does Python call by reference or call by value?
- How can you concatenate lists in Python?
- What is the difference between lists and arrays?
- Can you explain the use of enumerate function?
- How to import a dataset into Python environment?
- How will you fetch the particular column and specific rows from a dataset?
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