Python Data Types| Lecture 3 | BCA |BE |PUC |

Python Data Types | Lecture 3 | BCA |BE |PUC | #learningspectrum
Python offers a variety of data types to handle and store data. Here's how they might relate to famous YouTube channels:

Strings: Just like the catchy titles of YouTube videos, strings store textual data. For example, a channel's name, video titles, or descriptions are all stored as strings.

Integers: These are used to represent whole numbers, like the number of subscribers, views, or likes on a video.

Floats: When you need precision, such as a video's average rating (4.8 stars), use floats for decimal numbers.

Lists: A playlist of videos is like a Python list. It can store multiple items (video links, titles, or timestamps).

Dictionaries: This data type is perfect for organizing information about a channel, like {"name": "Tech Guru", "subscribers": 1_000_000, "category": "Technology"}.

Tuples: Immutable data structures, similar to a fixed set of video metadata that doesn’t change, e.g., (upload_date, duration, resolution).

Sets: Just like a unique collection of tags on a video, sets store unique items without duplicates.

Booleans: Used to represent True/False conditions, such as "Is the video monetized?" or "Does the channel have a verified badge?".

NoneType: Represents the absence of a value, like an empty field in a channel's metadata.

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