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What are the 4 data types in Python?

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What are the 4 data types in Python?

Python Data Types

  • Numeric.
  • Sequence Type.
  • Boolean.
  • Set.
  • Dictionary.

What are the 3 data types in Python?

You’ll learn about several basic numeric, string, and Boolean types that are built into Python.

What is list data type in Python?

List. Lists are used to store multiple items in a single variable. Lists are one of 4 built-in data types in Python used to store collections of data, the other 3 are Tuple, Set, and Dictionary, all with different qualities and usage.

Which Python data types are mutable?

Some of the mutable data types in Python are list, dictionary, set and user-defined classes. On the other hand, some of the immutable data types are int, float, decimal, bool, string, tuple, and range.

What does str () do in Python?

The str() function converts values to a string form so they can be combined with other strings. For numbers, the standard operators, +, /, * work in the usual way. There is no ++ operator, but +=, -=, etc. work.

What are the 4 main data types?

Common data types include:

  • Integer.
  • Floating-point number.
  • Character.
  • String.
  • Boolean.

Why are data types important in Python?

In Python, like in all programming languages, data types are used to classify one particular type of data. This is important because the specific data type you use will determine what values you can assign to it and what you can do to it (including what operations you can perform on it).

What is slicing in Python?

Slicing in Python is a feature that enables accessing parts of sequences like strings, tuples, and lists. You can also use them to modify or delete the items of mutable sequences such as lists. Slices can also be applied on third-party objects like NumPy arrays, as well as Pandas series and data frames.