100 thoughts on “Python Tutorial For Beginners | Python Full Course From Scratch | Python Programming | Edureka

  1. 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/2FBUtO7 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

  2. Hi edureka I saw ur website block chain course . Since India banned Bitcoin then this course is legal? Just curious to ask

  3. I have downloaded python 3.7.3 from the same website you mentioned.But, while starting python its giving me a total strange user interface from what you are exlaining in this video.

  4. I installed the python 3.7.3 however, I don't see the Pycharm even after running the cmd 'python' is it suppose to come out with the installation of the Python 3.7.3 or is it a separate installation?

  5. Thank you for providing the complete 7 hour+ course. YouTube is flooded with such courses but this one is the best I have seen. Request you to make a similar course on AWS Certified Solutions Architect & AWS Lambda using Python.

  6. I was looking for silver, but found gold. Thank you so much sir, I really really learnt a lot. How do i get the AllCountry.csv file to continue the tutorial, am currently on 5:29:00.

  7. Very well explained. Thanks a lot. If we know Java little bit, we can able to do the miracles with Python… 🙂

  8. How do you download the python application? Could you please help me as can able to practice on command prompt but not on the .exe application which you practiced in the video.

  9. I learned HTML, CSS, JAVA, JAVASCRIPT and heading towards PYTHON from this beautiful channel. Thank you very much from bottom of my heart Edureka.

  10. Thanks for this wonderful tutorial.. Can you please share sample data and source code you have used in this tutorial?

  11. Can I learn this language even if I don’t know about C,C++…
    I want to learn it seriously

  12. i'm still trying to understand your statement about logical operator 'and' , 'or' …..or always returns the higher value …and returns lower value…could you please explain in detail….

  13. 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

  14. I am not student of CS and IT , but i love this work,, i already learn wordpress ,, will this paython helpful for me if i learn it,, and what will its advantage for me ,, can you elaborate pllz

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

  16. Thank you. I am a Java developer for more than a decade. This helped me to quickly learn python.

  17. 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

  18. I want to get result like this can you help me for that ?

    Input : 100
    Output :
    1 x 100 = 100
    2 x 50 = 100
    4 x 25 = 100
    5 x 20 = 100
    10 x 10 = 100
    20 x 5 = 100
    25 x 4 = 100
    50 x 2 = 100
    100 x 1 = 100

  19. what IDLE are you using in this video? I can see that its not the inbuilt one which comes with installing the python but an extra tool, can u you please mention the tool name ?

  20. How can i build a multipage website and connect pages together. A website that i am also going to put on the internet , so i am going to need a domain and a host.

  21. I am really thankful to you. God bless you and all your dreams come true. Dear, you have covered OOP's concept as well. Love you, not lover love but its thankful love. Trust me. I am so so soooo happy. . . Thanks a ton:-))))

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