Python Course | Python Tutorial for Beginners | Intellipaat

👇👇Following topics are covered in this python tutorial for beginners video:👇👇
Python Course: 0:00
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

👉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.
#PythonCourse #PythonTutorialForBeginners #PythonTutorial #Intellipaat #LearnPython #Python #PythonforBeginners #PythonTrainingforBeginners #PythonCourseforBeginners #PythonTraining

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For more Information:

[Intellipaat]

Guys, which technology you want to learn from Intellipaat? Comment down below and let us know so we can create in depth video tutorials for you.:)

[annonymous]

📝Following topics are covered in this 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

[vedasharma]

Dear intellipat,

I am a child and we can not afford a computer or laptop and I wanted to learn coding in whitehat jr. But thanks to you that in anyways I could learn python. And you don't know how much this means to me.🙏🙏👍may god bless you

[manojkallempudi]

Ans1 : thon
Ans2: def name(fname, lname):
print(fname)
name('intelliPaat', 'Python')
Ans3: def mynum(x):
print('+', x)
mynum(10)
Ans4: since the condition is false it will print 4

[SachinM]

Que 5:
x= lambda a, b, c: a+b+c
print(x(1, 2, 3))

Ans: 6

[vaibhavramilla]

I think if we do this course it almost cost 10000
You are giving us free course
Thank u so much ❤️

[perfectlyimperfect]

I really didn't believe when I saw the thumbnail.
That can one get full free course of python ??
REALLY DOING A GREAT JOB

[kunaldas]

import numpy as np
d=np.array([12, 13, 45, 66])
g=np.array([22, 13, 75, 10])

print(d)
print(g)

np.sum([d, g], axis=0)
np.sum([d, g], axis=1)


Output:-

The

[12 13 45 66]

[22 13 75 10]

When axis=0
array([ 34, 26, 120, 76])
When axis=1
array([136, 120])

[arshbains]

I want to thank you guys for helping everyone and for your efforts.

+rep

[vishaldangwal]

Mom said only one video before i go to sleep 😈

[captainnavi]

He- this is same as u have studied in c or c++
Me- who jumped into python straight..
*Starts sweating...

[chittanshusingh]

I m in class 12th and bu seeing this i get confident that i score best in python 😊THANKS FOR THE HELP🔥

[torturedancechannel]

What’s weird is I didn’t search YouTube in the slightest for python learning, only mentioned it to my dad in a text. This is then a promoted video on my YouTube? I’m watching you FBI.

[raghavvohra]

Seriously, thank you so much. First time in my life I understood how a loop works. The way you guys explain, it's commendable.

[sumitthakur]

a = 10
while a>0:
a-=1
if(a!=5):
print(a)
else:
break

RUN:-
File "<ipython-input-32-1e3ed2b88b7f>", line 7


break
^
SyntaxError: 'break' outside loop

and i am using jupyter

[santhoshiru]

Q.3:a=5
def myfunc(x):
print('The value is', x+10)
myfunc(a)

[soniabansal-]

ques 3
def my_function(x):
sum= x+10
print(sum)
my_function(20)


output= 30

[Error-gcrr]

I don't believe we are getting this FREE without spending a rupee
Thank you so much!
Can you please add a tutorial on Java Spring please ?

[abhijeetpatil]

Q3
a=1
def myfunc(b):
b=a+10
print('the value of a is', b)
myfunc(a)
ANSWER IS= THE VALUE OF B IS 11

[suchitramukherjee]

q.1 test1='pythonprogramming'
print(test1[2:6])
output:thon