Python’s popularity is increasing by the day as many people are seeing merit in learning a language that is both popular and widely used. Python programming language shines when used in disciplines such as data science, machine learning web and API development, and many more. With this mind, I thought it would be helpful to create an overview of some commonly asked Python questions and answers for data scientists and software engineers who may be heading into job interviews where knowledge of the language is key. But fret not, this article is still a good read for people who aren’t in this situation as it’s a great opportunity to refresh your knowledge of Python!
The Questions:
- What are the data types used in python?
- Strings
- Numbers
- Lists
- Tuples
- Dictionaries
2. What is the difference between list and tupple?
Lists are mutable and they can be edited(mutable), while tuples cannot be edited(immutable/read-only). Lists are enclosed in square brackets ( [ ] ) and their elements and size can be changed, while tuples are enclosed in parentheses ( ( ) ) .
syntax:list_1=['python','flask',10]
syntax:tuple_1=('python','flask'10)
3. Why do you prefer python?
This is a common question that is asked in an interview, and you can answer this question based on the following points:
- Simple Language and easy to learn
- Free and Open Source
- High-level Interpreted language
- Useful for data science, machine learning, etc
- Extended libraries and community support
#python #programming #software-development #developer #interview
