Introduction to Python | Python Tutorial For Beginners in Hindi | Data types in Python

Thank You for watching the video, hope you understood the concept 🙂
Links to other videos:
1. Introduction to Python: https://youtu.be/_zmbJ-RGLR8
2. Loops and Control Structures: https://youtu.be/qf72IqqSivA
3. NumPy Arrays: https://youtu.be/qkqcBLX1E7w
4. NumPy Indexing and Selection: https://youtu.be/hSAriOpnfXI
5. NumPy Operations: https://youtu.be/I7xGXqoO6DA
6. Pandas in Python: https://youtu.be/G7zYxavyvvA
7. DataFrames in Pandas: https://youtu.be/fiw-X3oIbOY

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Introduction to Python... ✨

-- Python is high level object oriented open source programming language.
-- It is easy to learn and can be executed online using Google Colab or Jupyter Notebook.
-- Python is used in Machine Learning, Business Analytics, Data Science, Big Data, Web
-- Development, Scripting, and to automate many process like tracking stock prices and converting text files to excel and many more.
In this video we will learn: -
🔸 Introduction to Python
🔹 Python Usage
🔸 Data types in Python

In this video various data types used in python are discussed along with examples. Various data types discussed in this video are:
🔹 Numbers
🔸 Strings
🔹 Printing
🔸 Lists
🔹 Dictionaries
🔸 Booleans
🔹 Tuples
🔸 Sets

➡Numbers
-- The numeric data type in Python represents the data that has a numeric value.
-- A numeric value can be an integer, a floating number, or even a complex number.
-- These values are defined as Python int, Python float, and Python complex classes in Python.
🔹 Integers – This value is represented by int class. It contains positive or negative whole numbers (without fractions or decimals).
-- In Python, there is no limit to how long an integer value can be.
🔸 Float – This value is represented by the float class. It is a real number with a floating-point representation. It is specified by a decimal point.
-- Optionally, the character e or E followed by a positive or negative integer may be appended to specify scientific notation.
🔹 Complex Numbers – Complex number is represented by a complex class. It is specified as (real part) + (imaginary part)j. For example – 2+3j

➡ Strings
-- Strings in Python are arrays of bytes representing Unicode characters.
-- A string is a collection of one or more characters put in a single quote, double-quote, or triple-quote.
-- In python there is no character data type, a character is a string of length one.
-- It is represented by str class.
-- Creating String Strings in Python can be created using single quotes or double quotes or even triple quotes.

➡ Lists
-- Lists are just like 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.

➡ Dictionaries
--Dictionaries are Python’s implementation of a data structure that is more generally known as an associative array.
-- A dictionary consists of a collection of key-value pairs.
-- Each key-value pair maps the key to its associated value.
-- You can define a dictionary by enclosing a comma-separated list of key-value pairs in:
🔹 𝐂𝐮𝐫𝐥𝐲 𝐛𝐫𝐚𝐜𝐤𝐞𝐭𝐬 ({}).
🔸 𝐀 𝐜𝐨𝐥𝐨𝐧 (:)
separates each key from its associated value

➡ Booleans
-- Data type with one of the two built-in values, True or False.
-- Boolean objects that are equal to True are truthy (true), and those equal to False are falsy (false). But non-Boolean objects can be evaluated in a Boolean context as well and determined to be true or false.
-- It is denoted by the class bool. Note – True and False with capital ‘T’ and ‘F’ are valid booleans otherwise python will throw an error.

➡ Tuples
-- Just like a list, a tuple is also an ordered collection of Python objects.
-- The only difference between a tuple and a list is that tuples are immutable i.e. tuples cannot be modified after it is created.
-- It is represented by a tuple class.
-- Creating a Tuple In Python, tuples are created by placing a sequence of values separated by a ‘comma’ with or without the use of parentheses for grouping the data sequence.
-- Tuples can contain any number of elements and of any datatype (like strings, integers, lists, etc.).
-- Note: Tuples can also be created with a single element, but it is a bit tricky. Having one element in the parentheses is not sufficient, there must be a trailing ‘comma’ to make it a tuple.

➡ Sets
-- Sets are used to store multiple items in a single variable .
-- Set is one of 4 built-in data types in Python used to store collections of data , the other 3 are List , Tuple , and Dictionary , all with different qualities and usage .
-- A set is a collection which is unordered , unchangeable and unindexed .

You can learn Python in Hindi in this video. You can also download transcript of this video.
This tutorial is provided with Practice Questions and their solutions.

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