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 actually classes and variables are instance (object) of these classes.
Python has the following data types built-in by default: Numeric(Integer, complex, float), Sequential(string,lists, tuples), Boolean, Set, Dictionaries, etc
To check what is the data type of the variable used, we can simply write: your_variable=100 type(your_variable)
Data Structures
Data Structures are a way of organizing data so that it can be accessed more efficiently depending upon 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 in nature 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
task 1-Difference between List, Tuple, and Set:
List:
Ordered collection of items.
Mutable: Elements can be added, removed, or modified.
Allows duplicate elements.
Defined using square brackets
[ ].Suitable for storing and manipulating data when the order and duplication of elements matter.
Tuple:
Ordered collection of items.
Immutable: Once created, elements cannot be changed.
Allows duplicate elements.
Defined using parentheses
( ).Suitable for representing fixed sequences of elements, such as coordinates or database records.
Set:
Unordered collection of unique items.
Mutable: Elements can be added or removed, but not modified.
Does not allow duplicate elements.
Defined using curly braces
{ }or theset()function.Suitable for performing mathematical set operations like union, intersection, and difference.
Hands-On:
Task 2- Dictionary methods to print your favourite tool just by using the keys of the Dictionary.
fav_tools = {
1: "Linux",
2: "Git",
3: "Docker",
4: "Kubernetes",
5: "Terraform",
6: "Ansible",
7: "Chef"
}
# Accessing favourite tool using keys
fav_key = 3
fav_tool = fav_tools.get(fav_key)
print("My favourite tool is:", fav_tool)
Create a List of cloud service providers
# Create a list of cloud service providers
cloud_providers = ["AWS", "GCP", "Azure"]
# Print the list
print("Cloud Service Providers:", cloud_providers)
"Keep Learning, Keep Growing: Explore more articles on our blog to expand your knowledge and enhance your skills. Stay curious, stay inspired, and keep pushing the boundaries of what you can achieve."