Python Course | Python Tutorial for Beginners | Intellipaat
?Intellipaat Python course:
??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
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?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.
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?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
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pin this please
Thank you ?
Waah bete moj krdi
Are bde heavy driver ho tum to yaar?
Hey, is this full course? Or only upto basic level? Or only upto intermediate level or upto advance level?
@Naresh Ch. He copied this from Discription ?????
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
Best of luck. 🙂
Plus in whitehat junior we have to pay 25-45k monthly
Today only i have started learning the basic in python from your youtube. I am very satisfied with your videos and tutorial you have presented in front of us. Thank you very much for your service to the students and academic communities
your tutorial presentation is impressive &easy to understand?….this is very helpful and thank u for uploading this tutorial?
I am loving the course… I just completed data type… And I think I am getting what you are telling till yet..
I took a pen and my note book..
And making notes of everything you are showing.!! It will definitely help me in future… You are Great..!! Love you!! Thanks for this video…
Actually I don’t have an idea of softwares. But I am having fun learning python from you guys.. thanks.. yes that girl coming in btw the video is breaking the concentration.. it’s better if she comes after a topic end…
I think if we do this course it almost cost 10000
You are giving us free course
Thank u so much ❤️
@Movies Clips You would need a course to learn everything.
@Movies Clips no,they are not explain it deeply,but they cover all topics A-Z.
Bro is it full course of python? I’m asking that because I’m not computer engineer
@Himanshu Raj All topics are complete here bro? Just the explanation lacking? Are you sure bro? ?
Thankyou mam
Aap ke vajah se ham Gareeb bachchhe bhi coding sikh rahe
Thankyou mam
For free provide
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
Intellipat..
Thank you so much for this.? actully students will understand better if sir who tought all before numpy.
Because his speed and language is so friendly. And one who starting from numpy speaks so fast that we couldn’t understand so much..
By th way thank you so much again.?
Really excellent explanation, covered a lot of topics with many inbuilt functions..really worth watching it
Glad it was helpful!
I really like this video it helps me a lot to improve my python. Such a great effort you have put in it. Thank you so much
Glad to hear that. 😉
To make 9 hours long video and specifically when you are teaching without fear that few people will not going to watch just because of length is really nice idea.
Great lecture bro it was very helpful during the quarantine as I can use my time for good things
Glad it was helpful!
Ques 3
p=20
Def my_function(X)
Print (“The value of X=”,X )
//Calling function by PASSING A VALUE//
my_function (p)
OUTPUT:-
The value of X = 20
The new value of X = 30
Thank you for sharing such an imp class. Intellipaat hats off your whole team for such an effort. Love u guys and thanks again .
Feedback- yes no doubt all professor were fantastic, but I had a prob in numpy just because the english was not proper. I was getting confuse. I need to focus 2x .
Awesome explanation sir # u guys dng a grt job by providing us with this valuable classes# really this is very gud at u..Hope we gone get many more sessions from u….
2) print(fname)
3)
definitely my_function (x) :
return x+10
4) 4
5)
z=lambda a,b,c:a+b+c
print(z(1,2,3))
6) 22
Are the later concepts in this video are mainly useful only in data science? or these may be useful in web development as well?
I m in class 12th and bu seeing this i get confident that i score best in python ?THANKS FOR THE HELP?
Glad to hear that! Please stay tuned to Intellipaat?
full out of full kudos, it is really very needful course, made by intellipaat, so salute to your entire team
Glad you liked it!! @Abhishek Khandelwal Do like, share & subscribe to our channel to get updates on upcoming videos