Python Data Essentials:

Understanding Data Types and Data Structures for DevOps.

Python Data Essentials:

Python Data Types:

Data types are the classification or categorization of data items. It represents the kind of value that tells what operations can be performed on a particular data. Since everything is an object in Python programming, data types are classes and variables are instances (object) of these classes. The following are the standard or built-in data types in Python:

  • Numeric

  • Sequence Type

  • Boolean

  • Set

  • Dictionary

  • Binary Types

Python Data Structures:

Data Structures are a way of organizing data so that it can be accessed more efficiently depending on the situation. Data Structures are fundamentals of any programming language around which a program is built. Python helps to learn the fundamental of these data structures in a simpler way as compared to other programming languages.

  • Lists Python Lists are just like the arrays, declared in other languages which is an ordered collection of data. It is very flexible as the items in a list do not need to be of the same type.

  • Tuple Python Tuple is a collection of Python objects much like a list but Tuples are immutable i.e. the elements in the tuple cannot be added or removed once created. Just like a List, a Tuple can also contain elements of various types.

  • Dictionary Python dictionary is like hash tables in any other language with the time complexity of O(1). It is an unordered collection of data values, used to store data values like a map, which, unlike other Data Types that hold only a single value as an element, Dictionary holds the key:value pair. Key-value is provided in the dictionary to make it more optimized.