Python Tutorial For Beginners | Python Full Course From Scratch | Python Programming | Edureka

00:00 Agenda for the session
1:16 Introduction to Python
5:29 Who is using Python
7:13 Python Applications
7:34 Python Market Trends
8:36 Python Installation
10:17 Python IDE & Interpreter
12:30 Executing Code in Python
13:19 Comments and Literals
15:10 Indentation
16:20 Python Code Execution
16:50 Hello World Program Using Python
20:25 Identifiers
22:22 Variables
23:35 Data Types
26:22 Immutable Data Types
26:26 Numeric Data Type
27:34 Strings
28:28 Tuples
29:48 Mutable Data Type
29:55 Lists
34:19 Dictionaries
36:36 Sets
37:01 Python Operators
37:18 Arithmetic Operator
38:02 Assignment Operator
39:03 Comparison Operator
40:00 Logical Operators
42:22 Bitwise Operator
42:51 Identity Operator
44:11 membership Operator
42:55 Conditional Statements
51:38 Loops on Python
52:00 While Loop
53:07 For Loop
55:20 Nested Loops
55:50 Control Statements
58:30 Command Line Parameters
1:00:28 Sequences and File Operations
1:00:53 Python Input Function
1:02:46 Python File Operations
1:03:14 Opening and Closing Files
1:04:40 Python Open Function
1:06:50 Write Function
1:07:05 Read Function
1:07:19 Rename Function
1:07:52 Delete Function
1:10:05 Close Function
1:10:52 File Object Attributes
1:13:48 Python Sequences
1:17:40 Python Lists
1:19:12 List Operations
1:26:04 Python Tuples
1:26:30 Tuple Operations
1:30:10 Python Strings
1:37:14 Python Sets
1:38:25 Set Operations
1:41:58 Python Dictionaries
1:45:22 Dictionary Operations
1:49:12 Functions and Oops
2:21:12 Object-Oriented Concepts
2:26:57 Definition of Method
2:27:30 Scope of Variables
2:29:26 Attributes
2:38:16 Private Methods
2:39:39 Class Variables and Instance Variables
2:40:54 Constructor and Destructor
2:43:20 Key Concepts of Object-Oriented Programming
2:43:25 Abstraction
2:45:01 Encapsulation
2:45:19 Inheritance
2:45:47 Types of Inheritance
2:46:21 Single Inheritance
2:48:15 Multiple Inheritance
2:49:47 Overriding Method
2:51:01 Polymorphism
2:59:59 Important Modules Used in Python
3:19:34 Regular Expressions
3:26:19 Search and Match Function
3:27:31 Regular Expressions Applications
3:27:34 Packages in Python
3:28:18 Exception Handling
3:31:20 Catching Specific Exceptions
3:33:22 Finally Block
3:34:06 try-finally Block
3:34:22 User-Defined Exceptions
3:36:56 Introduction To NumPy and Pandas
3:38:50 - What is Data Analysis?
3:43:08 - Why Python for Data Analysis?
3:43:32 - Introduction to NumPy
4:07:33 - Reading & Writing from Files
4:09:13 - Reading & Writing from CSV Files
4:12:11 - Introduction to Pandas
4:39:12 - Introduction to Data Visualization & Matplotlib
5:00:35 - Data Manipulation
5:28:10 - Use Case ( Country-Wise Statistics)
5:37:55 - Developing Web Maps using Folium & Pandas
5:38:13 - Problem Statement (Disaster Management Organization)
5:39:51 - Installing Folium and Pandas
5:53:00 - Problem Statement ( Titanic Data Analysis)
5:57:13 - Data Wrangling
6:23:39 - Web Scraping using Python
6:25:50 - Libraries used for Web Scraping ( Beautiful Soup)
6:27:39 - Requests library
6:32:35 - Data Visualisation on the browser
6:33:00 - Introduction to Bokeh
6:36:02 - Computer Vision using OpenCV
6:36:09 - How a computer reads an image
6:38:21 - What is OpenCV?
6:39:15 - Operations with OpenCV
6:40:09 - Load images using openCV
6:44:22 - Write Operation
6:44:51 - Face detection using OpenCV
6:55:55 - Capturing video
7:00:05 - Use Case - Motion Detector
7:00:15 - Problem Statement
7:00:38 - Solution Logic
7:11:49 - Plotting the Motion detection graph

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠𝐬

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦

#PythonEdureka #Edureka #PythonTutorial #PythonTraining

[edurekaIN]

1:16 Introduction to Python
5:29 Who is using Python
7:13 Python Applications
7:34 Python Market Trends
8:36 Python Installation
10:17 Python IDE & Interpreter
12:30 Executing Code in Python
13:19 Comments and Literals
15:10 Indentation
16:20 Python Code Execution
16:50 Hello World Program Using Python
20:25 Identifiers
22:22 Variables
23:35 Data Types
26:22 Immutable Data Types
26:26 Numeric Data Type
27:34 Strings
28:28 Tuples
29:48 Mutable Data Type
29:55 Lists
34:19 Dictionaries
36:36 Sets
37:01 Python Operators
37:18 Arithmetic Operator
38:02 Assignment Operator
39:03 Comparison Operator
40:00 Logical Operators
42:22 Bitwise Operator
42:51 Identity Operator
44:11 membership Operator
42:55 Conditional Statements
51:38 Loops on Python
52:00 While Loop
53:07 For Loop
55:20 Nested Loops
55:50 Control Statements
58:30 Command Line Parameters
1:00:28 Sequences and File Operations
1:00:53 Python Input Function
1:02:46 Python File Operations
1:03:14 Opening and Closing Files
1:04:40 Python Open Function
1:06:50 Write Function
1:07:05 Read Function
1:07:19 Rename Function
1:07:52 Delete Function
1:10:05 Close Function
1:10:52 File Object Attributes
1:13:48 Python Sequences
1:17:40 Python Lists
1:19:12 List Operations
1:26:04 Python Tuples
1:26:30 Tuple Operations
1:30:10 Python Strings
1:37:14 Python Sets
1:38:25 Set Operations
1:41:58 Python Dictionaries
1:45:22 Dictionary Operations
1:49:12 Functions and Oops
2:21:12 Object-Oriented Concepts
2:22:28 Use Case
2:22:55 Classes and Objects
2:26:08 Creating a Class
2:26:57 Definition of Method
2:27:30 Scope of Variables
2:29:26 Attributes
2:38:16 Private Methods
2:39:39 Class Variables and Instance Variables
2:40:54 Constructor and Destructor
2:43:20 Key Concepts of Object-Oriented Programming
2:43:25 Abstraction
2:45:01 Encapsulation
2:45:19 Inheritance
2:45:47 Types of Inheritance
2:46:21 Single Inheritance
2:48:15 Multiple Inheritance
2:49:47 Overriding Method
2:51:01 Polymorphism
2:52:37 Getter and Setter Methods
2:54:21 Working with Modules and Handling Exceptions
2:54:28 Standard Libraries
2:54:44 Modules Used In Python
2:55:38 Import Statement
2:56:09 Dir Function
2:57:19 From Import Statement
2:59:41 Reload Function
2:59:59 Important Modules Used in Python
3:19:34 Regular Expressions
3:26:19 Search and Match Function
3:27:31 Regular Expressions Applications
3:27:34 Packages in Python
3:28:18 Exception Handling
3:31:20 Catching Specific Exceptions
3:33:22 Finally Block
3:34:06 try-finally Block
3:34:22 User-Defined Exceptions
3:36:56 Introduction To NumPy and Pandas
3:38:50 - What is Data Analysis?
3:43:08 - Why Python for Data Analysis?
3:43:32 - Introduction to NumPy
4:07:33 - Reading & Writing from Files
4:09:13 - Reading & Writing from CSV Files
4:12:11 - Introduction to Pandas
4:39:12 - Introduction to Data Visualization & Matplotlib
5:00:35 - Data Manipulation
5:28:10 - Use Case ( Country-Wise Statistics)
5:32:42 - Extracting Insights from the Dataset
5:37:55 - Developing Web Maps using Folium & Pandas
5:38:13 - Problem Statement (Disaster Management Organization)
5:39:51 - Installing Folium and Pandas
5:53:00 - Problem Statement ( Titanic Data Analysis)
5:57:13 - Data Wrangling
6:23:39 - Web Scraping using Python
6:25:50 - Libraries used for Web Scraping ( Beautiful Soup)
6:27:39 - Requests library
6:32:35 - Data Visualisation on the browser
6:33:00 - Introduction to Bokeh
6:36:02 - Computer Vision using OpenCV
6:36:09 - How a computer reads an image
6:38:21 - What is OpenCV?
6:39:15 - Operations with OpenCV
6:40:09 - Load images using openCV
6:44:22 - Write Operation
6:44:51 - Face detection using OpenCV
6:55:55 - Capturing video
7:00:05 - Use Case - Motion Detector
7:00:15 - Problem Statement
7:00:38 - Solution Logic
7:11:49 - Plotting the Motion detection graph

[Iknowpython]

table of content


1:16 Introduction to Python
5:29 Who is using Python
7:13 Python Applications
7:34 Python Market Trends
8:36 Python Installation
10:17 Python IDE & Interpreter
12:30 Executing Code in Python
13:19 Comments and Literals
15:10 Indentation
16:20 Python Code Execution
16:50 Hello World Program Using Python
20:25 Identifiers
22:22 Variables
23:35 Data Types
26:22 Immutable Data Types
26:26 Numeric Data Type
27:34 Strings
28:28 Tuples
29:48 Mutable Data Type
29:55 Lists
34:19 Dictionaries
36:36 Sets
37:01 Python Operators
37:18 Arithmetic Operator
38:02 Assignment Operator
39:03 Comparison Operator
40:00 Logical Operators
42:22 Bitwise Operator
42:51 Identity Operator
44:11 membership Operator
42:55 Conditional Statements
51:38 Loops on Python
52:00 While Loop
53:07 For Loop
55:20 Nested Loops
55:50 Control Statements
58:30 Command Line Parameters
1:00:28 Sequences and File Operations
1:00:53 Python Input Function
1:02:46 Python File Operations
1:03:14 Opening and Closing Files
1:04:40 Python Open Function
1:06:50 Write Function
1:07:05 Read Function
1:07:19 Rename Function
1:07:52 Delete Function
1:10:05 Close Function
1:10:52 File Object Attributes
1:13:48 Python Sequences
1:17:40 Python Lists
1:19:12 List Operations
1:26:04 Python Tuples
1:26:30 Tuple Operations
1:30:10 Python Strings
1:37:14 Python Sets
1:38:25 Set Operations
1:41:58 Python Dictionaries
1:45:22 Dictionary Operations
1:49:12 Functions and Oops
2:21:12 Object-Oriented Concepts
2:22:28 Use Case
2:22:55 Classes and Objects
2:26:08 Creating a Class
2:26:57 Definition of Method
2:27:30 Scope of Variables
2:29:26 Attributes
2:38:16 Private Methods
2:39:39 Class Variables and Instance Variables
2:40:54 Constructor and Destructor
2:43:20 Key Concepts of Object-Oriented Programming
2:43:25 Abstraction

2:45:01 Encapsulation
2:45:19 Inheritance
2:45:47 Types of Inheritance
2:46:21 Single Inheritance
2:48:15 Multiple Inheritance
2:49:47 Overriding Method
2:51:01 Polymorphism
2:52:37 Getter and Setter Methods
2:54:21 Working with Modules and Handling Exceptions
2:54:28 Standard Libraries
2:54:44 Modules Used In Python
2:55:38 Import Statement
2:56:09 Dir Function
2:57:19 From Import Statement
2:59:41 Reload Function
2:59:59 Important Modules Used in Python
3:19:34 Regular Expressions
3:26:19 Search and Match Function
3:27:31 Regular Expressions Applications
3:27:34 Packages in Python
3:28:18 Exception Handling
3:31:20 Catching Specific Exceptions
3:33:22 Finally Block
3:34:06 try-finally Block
3:34:22 User-Defined Exceptions
3:36:56 Introduction To NumPy and Pandas
3:38:50 - What is Data Analysis?
3:43:08 - Why Python for Data Analysis?
3:43:32 - Introduction to NumPy
4:07:33 - Reading & Writing from Files
4:09:13 - Reading & Writing from CSV Files
4:12:11 - Introduction to Pandas
4:39:12 - Introduction to Data Visualization & Matplotlib
5:00:35 - Data Manipulation
5:28:10 - Use Case ( Country-Wise Statistics)
5:32:42 - Extracting Insights from the Dataset
5:37:55 - Developing Web Maps using Folium & Pandas
5:38:13 - Problem Statement (Disaster Management Organization)
5:39:51 - Installing Folium and Pandas
5:53:00 - Problem Statement ( Titanic Data Analysis)
5:57:13 - Data Wrangling
6:23:39 - Web Scraping using Python
6:25:50 - Libraries used for Web Scraping ( Beautiful Soup)
6:27:39 - Requests library
6:32:35 - Data Visualisation on the browser
6:33:00 - Introduction to Bokeh
6:36:02 - Computer Vision using OpenCV
6:36:09 - How a computer reads an image
6:38:21 - What is OpenCV?
6:39:15 - Operations with OpenCV
6:40:09 - Load images using openCV
6:44:22 - Write Operation
6:44:51 - Face detection using OpenCV
6:55:55 - Capturing video
7:00:05 - Use Case - Motion Detector
7:00:15 - Problem Statement
7:00:38 - Solution Logic
7:11:49 - Plotting the Motion detection graph

[balajik]

A short story around almost every single concept. Wonderful work!

[ranjeetnbittu]

I am writing this comments, after completing about 40 minutes video:
Online Teaching style can't be better than this, So thank you so much to the tutor for returning his knowledge and experience to the newbie programming society.
Much appreciated. I will complete this great tutorial without fail. (y)

[ashikurrahaman]

supper learn python from this tutorial and I realize that it's very helpful for beginners to build up clear concept about python language

[justo_rodriguez]

I’m quite pleased with these channel, this channel reached me how to program, thanks to them now I have my own company!

[avinashboddu]

@edureka, thanks for contribution.
Can you drop a full course on Ionic framework

[PrashantBKadu]

Thanks a lot for this full-length PYTHON tutorial in depth.

[ArvapallySrikanth]

Thank You edureka! You are helping alot students like us by saving their amount spending on other namesake institutes..

[zeroking]

Edureka its full all about python and thank you very much .

[gunpreetsingh]

Thanks to Edureka!!!
Everything in One Go. Learnt every single thing needed to cover for my Basics and Advanced Level. 7 Hours are completely utilized in Learning

[vineetasingh]

Bang on!! Thanks Edureka! A complete package with just useful information.

[TechReptile]

I have followed your video and get courage to learn python.
Thanks god I have find you.
You are really a good guy. Thanks a lot.
Just carry on.

[sumanthdaivagna]

Thank you so much for complete python course sir 😊
Sir, can u please tellme where can I get these slides in video ...?
It will be very very helpful...please

[harithal-safi]

I want to thank this chanel for such effort, I am already making scripts while watching this. It has really alot of information, I reached 4 hours within a week. That is because I did few python projects and I was always writting notes. I hope I finish this course during the quarantine :)

[karthikselvaraj]

thank you so much for the video. kindly upload the subtitle.

[daveworkman]

I gotta say that Varun is an amazing teacher. I have learned more about Python in this course than anywhere else. Thank you for this and be safe.

[tejaskasare]

Thank you edureka for this full-length course!
Thank you very much. Do you have published any book on python?

[shyamdesai]

edureka is going really good. I appreciate edureka as trainee .It helps a lot to students and help to learn desired technologies. Keep it up and your work deserves appreciations.

[nishantkumar-lllf]

Its really good to go through it... simply awsome!!