This Python tutorial for beginners video will help you master end to end Python programming course. We have covered Python projects and Python Interview Questions as well in this Python full course tutorial.

👇👇Following topics are covered in this python tutorial for beginners video:👇👇
What is Python? - 1:26
Why choose Python? - 3:08
Features of Python - 4:44
Applications of Python - 5:55
Salary Trends - 7:17
Quiz - 8:01
Installing Python - 8:28
Python Variable - 14:31
Python Tokens - 19:05
Literals in Python - 24:00
Operators in Python - 29:09
Python Datatype - 42:35
Python Flow Control - 1:15:00
Python Function - 1:25:40
Python Function Call - 1:28:32
Quiz - 1:34:46
Python Lambda - 1:36:03
Quiz - 1:40:58
Python Classes/Object - 1:41:38
Python File Handling - 1:42:24
What is Numpy? - 1:56:06
How to Create Numpy Array? - 1:58:04
What is Numpy Array? - 2:01:32
Numpy Array Initialization - 2:04:21
Numpy Array Inspection - 2:11:48
Numpy Array Mathematics - 2:18:52
Numpy Array Broadcasting - 2:31:36
Indexing and Slicing in Python - 2:34:25
Array Manipulation in Python - 2:40:08
Advantages of Numpy over List - 3:01:16
Python Pandas - 3:10:32
Features of Pandas - 3:14:42
Pandas vs Numpy - 3:21:03
How to import Pandas in Python? - 3:23:10
What kind of data does suit Pandas the most? - 3:23:25
Data Structures in Pandas - 3:23:54
Data-set in Pandas - 3:24:44
What is a series object? - 3:25:14
How to change the index name? - 3:27:44
Create different Series Object datatypes - 3:29:36
What is DataFrame? - 3:30:01
Features of DataFrame - 3:30:48
How to create a DataFrame? - 3:32:16
Create a DataFrame from a Dictionary - 3:35:57
Create a DataFrame from a Series - 3:36:45
Create a DataFrame from a numpy ND array - 3:37:08
Merge, Join and Concatenate - 3:37:40
DataFrame for Pandas Merge - 3:43:28
Quiz - 4:20:43
Basics of Data Visualization - 4:23:30
Data Visualization Example - 4:28:05
Why do we need Data Visualization? - 4:28:43
Data Visualization Libraries - 4:38:17
What is Matplotlib? - 4:40:21
Why choose Matplotlib? - 4:41:08
Types of Plots - 4:44:11
Demonstration: Bar Plot - 5:46:28
Demonstration: Scatter Plot - 5:47:08
Demonstration: Histogram - 5:48:55
Demonstration: Box Plot - 5:49:04
Demonstration: Violin Plot - 5:50:06
Demonstration: Image Plot - 5:50:16
Demonstration: Image to Histogram - 5:51:23
Demonstration: Quiver Plot - 5:51:54
Demonstration: Stream Plot - 5:52:37
Demonstration: Pie Chart - 5:53:16
Quiz - 6:04:43
Introduction to PySpark - 6:06:29
What is PySpark? - 6:08:22
Advantages of PySpark - 6:09:46
When to use Python or Scala with Spark? - 6:11:55
Python vs Scala - 6:12:35
PySpark in Industry - 6:13:55
PySpark Installation - 6:15:31
PySpark Fundamentals - 6:22:09
Spark Context - 6:22:32
Spark Context: Parameters - 6:23:16
What is SparkConf? - 6:25:39
SparkConf: Attributes - 6:26:42
SparkConf: Example - 6:30:28
SparkFile - 6:30:43
Resilient Distributed Dataset - 6:34:01
Operations in RDD - 6:34:30
Transformation in RDD - 6:34:39
Action in RDD - 6:35:38
Action & Transformation - 6:36:56
When to use RDD - 6:37:24
What is DataFrame? - 6:38:47
What is MLlib? - 6:39:38
Capstone Project - 6:40:18
Problem Statement - 6:40:44
Data Manipulation - 6:41:46
Data Visualization - 6:55:27
Linear Regression - 7:07:21
Logistic Regression - 7:20:33
Decision Tree & Random Forest - 7:30:27
Python Interview Questions - 7:40:00
Python Job Trend - 7:40:13
Basic Questions -7:40:46
Questions on OOPS - 7:44:56
Questions on NumPy - 7:55:30
Questions on Pandas - 8:01:43
File Handling in Python - 8:10:41
Lambda Function in Python - 8:11:41
Questions on Matplotlib - 8:12:59
Module in Python - 8:17:22
Random Questions - 8:18:23
Machine Learning with Python - 8:28:52

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