Python Tutorial For Beginners | Python Full Course From Scratch | Python Programming | Edureka
? Post Graduate Diploma in Artificial Intelligence by E&ICT Academy
NIT Warangal:
This Edureka Python Tutorial for Beginners (Python Tutorial Blog: ) will help you learn Python programming language and its core concepts with examples from scratch. This Python tutorial for beginners video helps you to learn the following concepts in Python:
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
———-??????? ?????? ?????????———–
?Python Programming Certification:
?Python Certification Training for Data Science:
———-??????? ??????? ???????———-
?Data Scientist Masters Program:
?Machine Learning Engineer Masters Program:
———–??????? ?????????? ???????———-
?Post Graduate Diploma in Artificial Intelligence Course offered by E&ICT Academy
NIT Warangal:
#PythonEdureka #Edureka #PythonTutorial #PythonTraining
?New Python Tutorial – Full Course (10 hours):
?Python Tutorial Playlist:
?Python Tutorial Blog Series:
For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free)
Got a question on the topic? Share it in the comment section below. Please drop a comment if you need the data-sets and codes discussed in this video. For Edureka Python Data Science Course curriculum, Visit our Website: http://bit.ly/2OpzQWw Use code “YOUTUBE20” to get Flat 20% off on this training. Below is the timestamp:
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
Thanks sir
Hi. The video is awesome. Can you please share me the dataset and slides used in the lecture?
Please share your email id (it will not be published). We will forward the dataset to your email address.
Greetings! Thanks for watching the video. Please mention your email id (it will not be published). We will forward the code and dataset to your email address.
JavaScript: https://www.youtube.com/watch?v=o1IaduQICO0
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
Thanks a lot
You are real lifesaver bro !
Yes, this course has project.
is there any project in this course ??
Thank you so much
1 hr 26 min through the video now and I already feel so confident with Python. The instructor’s approach to teaching beginners is praiseworthy. Great job Team Edureka, keep spreading smiles 🙂
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)
A short story around almost every single concept. Wonderful work!
Thanks Balaji, don’t forget to Subscribe to our YouTube channel.
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.
Thanks for the wonderful feedback! We are glad we could help. Do subscribe to our channel to stay posted on upcoming tutorials.
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 🙂
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.
Bang on!! Thanks Edureka! A complete package with just useful information.
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
You are most welcome Gunpreet. Don’t forget to Subscribe us.
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
Amazing course…Really useful…Can you please publish the sample data and source code used in the video?
Thank you. I am a Java developer for more than a decade. This helped me to quickly learn python.
Very well explained, Helps a lot. Thank you!
Please send the code link, It will be very helpful
Thanks for appreciating our efforts. Please share your email id with us (it will not be published). We will forward the source code to your email address.
A headstart in python technology ?
Thank you edureka♥️
Thanks for the compliment! We are glad you loved the video. Do subscribe to the channel and hit the bell icon to never miss an update from us in the future. Cheers!
Thanks for making this video. This helps a lot. Can you please tell me the process to get the code and data-set used in this video?
Hey Shyamal, Thanks for the compliment! You can share your email id with us (it will not be published). We will forward the source code and dataset to your email address.
7 hour long video and no ad! ?
this channel is something like everything to me, really great instructors better than any online institutes or even offline, these guys are really great to people who cannot afford big amount of fees to the institutes with great level of teaching.
Thanks for this wonderful tutorial.. Can you please share sample data and source code you have used in this tutorial?
Hi Rishi, thanks for the appreciation. Please share your email id with us (it will not be published). We will forward you the source code and dataset to your email address.
Thank you edureka for this full-length course!
Thank you very much. Do you have published any book on python?
Hey Tejas , We don’t have any book published yet but you can check our blogs on pyhton: https://www.edureka.co/blog/python-tutorial/
Thanks a lot for this full-length PYTHON tutorial in depth.
Good one to beginners
Hey Prashanth, Thank you for appreciating our efforts! Do subscribe to the channel and hit the bell icon to never miss an update from us in the future. Cheers!
Reply ·