Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Python Programming Certification Curriculum, Visit our Website: bit.ly/2Y58PfN (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") 🔴Subscribe to Edureka RUclips channel for latest video updates: bit.ly/2ADbbb1 Below is the video timestamp: 1:55 What is Python? 3:40 Why is Python popular? 4:55 Features of Python 6:50 Where is Python used in the industry? 7:50 Learning Path 9:15 Career Opportunities 10:30 How Netflix use Python? 11:55 How does it use Python? 18:15 Python Developer Salary 18:50 Who is Python Developer? 19:20 Python Developer Job Trends 21:55 How to become a Python Developer? 23:05 Who is a Python developer? 33:50 Job Roles 41:40 Emerging Job Roles 44:30 Road Map 47:05 Python Installation 54:30 How to run a Python program? 58:35 Best IDE for Python 59:35 What is an IDE? 59:50 Features of an IDE 1:00:50 Best IDEs of Python 1:07:40 PyCharm Tutorial 1:07:42 Introduction to PyCharm 1:09:07 Features of PyCharm 1:28:02 Comments in Python 1:28:52 What are Comments? 1:29:47 When to use Python? 1:30:22 How to write comments in Python? 1:32:22 Types of Comments 1:35:57 Docstring Comments 1:39:02 Variables & Data Types 1:39:17 Variable definition & Declaration 1:41:22 Data Types 1:41:42 Numbers 1:43:12 String 1:46:02 List 1:48:12 Dictionary 1:50:12 Tuple 1:51:27 Set 1:53:52 Type Conversion 1:54:42 Python Collections 1:57:12 Specialised Collections Data Types 2:14:57 Arrays 2:15:32 What is an Array? 2:17:27 How to create Arrays in Python? 2:20:52 Accessing Array Elements 2:22:42 Basic Array Operations 2:24:27 Adding elements to an Array 2:27:52 Removing Elements of an Array 2:33:42 Slicing an Array 2:36:12 Looping through an Array 2:39:57 Hash Table and HashMap 2:41:37 Creating Dictionaries 2:44:02 Nested dictionaries 2:46:52 Performing Operations on Hash Table 2:55:32 Operators in Python 3:13:17 Loops in Python 3:13:52 Why to use Python? 3:16:12 What are Loops? 3:18:07 Loops in Python 3:18:17 While Loop 3:26:22 For Loop 3:32:22 Nested Loop 3:48:12 Patterns in Python 4:24:27 File Handling 4:25:07 Why need File Handling 4:27:02 Types of Files 4:28:37 What is File Handling? 4:29:22 Python File Handling System 4:32:52 File Operations for Reading 4:41:27 Python File Write Method 4:47:37 Decorator 4:48:22 Functions in Python 4:54:07 Decorators in Python 5:08:32 Lambda 5:10:17 How to write Anonymous functions? 5:29:02 Map-Reduce Functions 5:29:47 Introduction to map(), filter(), reduce() 5:46:22 What are Generators? 5:47:32 Normal functions vs Generators 5:48:02 Writing Generators in Python 5:52:57 Generators with Loops 5:53:57 Generator Expressions 5:56:22 Use-Cases 6:02:27 OOPS Concepts 6:03:07 Classes & Objects 6:33:47 Inheritance in Python 6:36:52 Types of Inheritance 6:42:47 Python Super Function 6:44:52 Exception Handling 6:54:42 Try & Except block 7:05:52 Python Module 7:07:47 How to create a Module? 7:17:33 Python Modules Search Path 7:24:23 Date & Time 7:24:58 time module 7:38:23 Numpy 7:38:58 What is Numpy? 7:41:43 Numpy vs List 7:49:03 Numpy Operations 8:05:23 Numpy Special Functions 8:09:58 SciPy 8:10:48 What is Python SciPy? 8:12:23 Basic Functions 8:15:48 Special Functions 8:18:53 Integration Functions 8:24:43 Linear Algebra 8:26:48 Interpolation Functions 8:28:18 Pandas 8:29:18 Data life-cycle 8:31:23 What is Pandas? 8:35:33 Pandas Operations 8:54:13 Example 8:59:38 Python for Statistics 9:02:43 Pydoop 9:04:03 Matplotlib 9:04:28 Data Visualization 9:09:13 Matplotlib 9:10:13 Types of Plots 9:30:13 Multiple Plots 9:32:18 Seaborn 9:32:53 Introduction to Seaborn 9:33:33 Seaborn vs Matplotlib 9:34:28 How to install Seaborn? 9:34:48 Installing Dependencies 9:35:33 Python Seaborn Functions 9:44:23 Multi-Plot Grids 9:47:08 Plot Aesthetics 9:50:58 FIFA Use-case 10:15:33 OpenCV Tutorial 10:16:03 What is Computer Vision? 10:16:48 How computer reads an Image? 10:18:53 What is OpenCV? 10:19:58 Basic operations with OpenCV 10:27:33 Face Detection 10:27:38 Face Detection using OpenCV 10:31:53 Capturing Video 10:43:28 Use-case - Motion Detector 10:54:58 Web Development Framework 10:55:23 What are Frameworks in Python? 11:08:34 Python Web Development 11:09:04 Python Web Development Libraries 11:09:24 Python & Django 11:28:19 Web Scraping 11:33:49 Packages used for web Scraping
a more concise content list 1:55 What is Python? 3:40 Why is Python popular? 4:55 Features of Python 6:50 Where is Python used in the industry? 7:50 Learning Path 9:15 Career Opportunities 10:30 How Netflix use Python? 11:55 How does it use Python? 18:15 Python Developer Salary 18:50 Who is Python Developer? 19:20 Python Developer Job Trends 21:55 How to become a Python Developer? 23:05 Who is a Python developer? 33:50 Job Roles 41:40 Emerging Job Roles 44:30 Road Map 47:05 Python Installation 54:30 How to run a Python program? 58:35 Best IDE for Python 59:35 What is an IDE? 59:50 Features of an IDE 1:00:50 Best IDEs of Python 1:07:40 PyCharm Tutorial 1:07:42 Introduction to PyCharm 1:09:07 Features of PyCharm 1:28:02 Comments in Python 1:28:52 What are Comments? 1:29:47 When to use Python? 1:30:22 How to write comments in Python? 1:32:22 Types of Comments 1:35:57 Docstring Comments 1:39:02 Variables & Data Types 1:39:17 Variable definition & Declaration 1:41:22 Data Types 1:41:42 Numbers 1:43:12 String 1:46:02 List 1:48:12 Dictionary 1:50:12 Tuple 1:51:27 Set 1:53:52 Type Conversion 1:54:42 Python Collections 1:57:12 Specialised Collections Data Types 2:14:57 Arrays 2:15:32 What is an Array? 2:17:27 How to create Arrays in Python? 2:20:52 Accessing Array Elements 2:22:42 Basic Array Operations 2:24:27 Adding elements to an Array 2:27:52 Removing Elements of an Array 2:33:42 Slicing an Array 2:36:12 Looping through an Array 2:39:57 Hash Table and HashMap 2:41:37 Creating Dictionaries 2:44:02 Nested dictionaries 2:46:52 Performing Operations on Hash Table 2:55:32 Operators in Python 3:13:17 Loops in Python 3:13:52 Why to use Python? 3:16:12 What are Loops? 3:18:07 Loops in Python 3:18:17 While Loop 3:26:22 For Loop 3:32:22 Nested Loop 3:48:12 Patterns in Python 4:24:27 File Handling 4:25:07 Why need File Handling 4:27:02 Types of Files 4:28:37 What is File Handling? 4:29:22 Python File Handling System 4:32:52 File Operations for Reading 4:41:27 Python File Write Method 4:47:37 Decorator 4:48:22 Functions in Python 4:54:07 Decorators in Python 5:08:32 Lambda 5:10:17 How to write Anonymous functions? 5:29:02 Map-Reduce Functions 5:29:47 Introduction to map(), filter(), reduce() 5:46:22 What are Generators? 5:47:32 Normal functions vs Generators 5:48:02 Writing Generators in Python 5:52:57 Generators with Loops 5:53:57 Generator Expressions 5:56:22 Use-Cases 6:02:27 OOPS Concepts 6:03:07 Classes & Objects 6:33:47 Inheritance in Python 6:36:52 Types of Inheritance 6:42:47 Python Super Function 6:44:52 Exception Handling 6:54:42 Try & Except block 7:05:52 Python Module 7:07:47 How to create a Module? 7:17:33 Python Modules Search Path 7:24:23 Date & Time 7:24:58 time module 7:38:23 Numpy 7:38:58 What is Numpy? 7:41:43 Numpy vs List 7:49:03 Numpy Operations 8:05:23 Numpy Special Functions 8:09:58 SciPy 8:10:48 What is Python SciPy? 8:12:23 Basic Functions 8:15:48 Special Functions 8:18:53 Integration Functions 8:24:43 Linear Algebra 8:26:48 Interpolation Functions 8:28:18 Pandas 8:29:18 Data life-cycle 8:31:23 What is Pandas? 8:35:33 Pandas Operations 8:54:13 Example 8:59:38 Python for Statistics 9:02:43 Pydoop 9:04:03 Matplotlib 9:04:28 Data Visualization 9:09:13 Matplotlib 9:10:13 Types of Plots 9:30:13 Multiple Plots 9:32:18 Seaborn 9:32:53 Introduction to Seaborn 9:33:33 Seaborn vs Matplotlib 9:34:28 How to install Seaborn? 9:34:48 Installing Dependencies 9:35:33 Python Seaborn Functions 9:44:23 Multi-Plot Grids 9:47:08 Plot Aesthetics 9:50:58 FIFA Use-case 10:15:33 OpenCV Tutorial 10:16:03 What is Computer Vision? 10:16:48 How computer reads an Image? 10:18:53 What is OpenCV? 10:19:58 Basic operations with OpenCV 10:27:33 Face Detection 10:27:38 Face Detection using OpenCV 10:31:53 Capturing Video 10:43:28 Use-case - Motion Detector 10:54:58 Web Development Framework 10:55:23 What are Frameworks in Python? 11:08:34 Python Web Development 11:09:04 Python Web Development Libraries 11:09:24 Python & Django 11:28:19 Web Scraping 11:33:49 Packages used for web Scraping
i started my journey from edureka free course..big data (haddop and spark) sql and cassendra,python,tableu,machine learning and data science cloud computing ...now i am working in honeywell as a fresher..think!salute edureka..aap hamesha yaad rahoge..
3:40 Why is Python popular? 4:55 Features of Python 6:50 Where is Python used in the industry? 7:50 Learning Path 9:15 Career Opportunities 10:30 How Netflix use Python? 11:55 How does it use Python? 18:15 Python Developer Salary 18:50 Who is Python Developer? 19:20 Python Developer Job Trends 21:55 How to become a Python Developer? 23:05 Who is a Python developer? 33:50 Job Roles 41:40 Emerging Job Roles 44:30 Road Map 47:05 Python Installation 54:30 How to run a Python program? 58:35 Best IDE for Python 59:35 What is an IDE? 59:50 Features of an IDE 1:00:50 Best IDEs of Python 1:07:40 PyCharm Tutorial 1:07:42 Introduction to PyCharm 1:09:07 Features of PyCharm 1:28:02 Comments in Python 1:28:52 What are Comments? 1:29:47 When to use Python? 1:30:22 How to write comments in Python? 1:32:22 Types of Comments 1:35:57 Docstring Comments 1:39:02 Variables & Data Types 1:39:17 Variable definition & Declaration 1:41:22 Data Types 1:41:42 Numbers 1:43:12 String 1:46:02 List 1:48:12 Dictionary 1:50:12 Tuple 1:51:27 Set 1:53:52 Type Conversion 1:54:42 Python Collections 1:57:12 Specialised Collections Data Types 2:14:57 Arrays 2:15:32 What is an Array? 2:17:27 How to create Arrays in Python? 2:20:52 Accessing Array Elements 2:22:42 Basic Array Operations 2:24:27 Adding elements to an Array 2:27:52 Removing Elements of an Array 2:33:42 Slicing an Array 2:36:12 Looping through an Array 2:39:57 Hash Table and HashMap 2:41:37 Creating Dictionaries 2:44:02 Nested dictionaries 2:46:52 Performing Operations on Hash Table 2:55:32 Operators in Python 3:13:17 Loops in Python 3:13:52 Why to use Python? 3:16:12 What are Loops? 3:18:07 Loops in Python 3:18:17 While Loop 3:26:22 For Loop 3:32:22 Nested Loop 3:48:12 Patterns in Python 4:24:27 File Handling 4:25:07 Why need File Handling 4:27:02 Types of Files 4:28:37 What is File Handling? 4:29:22 Python File Handling System 4:32:52 File Operations for Reading 4:41:27 Python File Write Method 4:47:37 Decorator 4:48:22 Functions in Python 4:54:07 Decorators in Python 5:08:32 Lambda 5:10:17 How to write Anonymous functions? 5:29:02 Map-Reduce Functions 5:29:47 Introduction to map(), filter(), reduce() 5:46:22 What are Generators? 5:47:32 Normal functions vs Generators 5:48:02 Writing Generators in Python 5:52:57 Generators with Loops 5:53:57 Generator Expressions 5:56:22 Use-Cases 6:02:27 OOPS Concepts 6:03:07 Classes & Objects 6:33:47 Inheritance in Python 6:36:52 Types of Inheritance 6:42:47 Python Super Function 6:44:52 Exception Handling 6:54:42 Try & Except block 7:05:52 Python Module 7:07:47 How to create a Module? 7:17:33 Python Modules Search Path 7:24:23 Date & Time 7:24:58 time module 7:38:23 Numpy 7:38:58 What is Numpy? 7:41:43 Numpy vs List 7:49:03 Numpy Operations 8:05:23 Numpy Special Functions 8:09:58 SciPy 8:10:48 What is Python SciPy? 8:12:23 Basic Functions 8:15:48 Special Functions 8:18:53 Integration Functions 8:24:43 Linear Algebra 8:26:48 Interpolation Functions 8:28:18 Pandas 8:29:18 Data life-cycle 8:31:23 What is Pandas? 8:35:33 Pandas Operations 8:54:13 Example 8:59:38 Python for Statistics 9:02:43 Pydoop 9:04:03 Matplotlib 9:04:28 Data Visualization 9:09:13 Matplotlib 9:10:13 Types of Plots 9:30:13 Multiple Plots 9:32:18 Seaborn 9:32:53 Introduction to Seaborn 9:33:33 Seaborn vs Matplotlib 9:34:28 How to install Seaborn? 9:34:48 Installing Dependencies 9:35:33 Python Seaborn Functions 9:44:23 Multi-Plot Grids 9:47:08 Plot Aesthetics 9:50:58 FIFA Use-case 10:15:33 OpenCV Tutorial 10:16:03 What is Computer Vision? 10:16:48 How computer reads an Image? 10:18:53 What is OpenCV? 10:19:58 Basic operations with OpenCV 10:27:33 Face Detection 10:27:38 Face Detection using OpenCV 10:31:53 Capturing Video 10:43:28 Use-case - Motion Detector 10:54:58 Web Development Framework 10:55:23 What are Frameworks in Python? 11:08:34 Python Web Development 11:09:04 Python Web Development Libraries 11:09:24 Python & Django 11:28:19 Web Scraping 11:33:49 Packages used for web Scraping 45 min of hardwork
preparing, planning and making 12 hours of structured courses takes huges resources, time efforts, competencies... so thank U , for all team of edureka....
7:38:23 Numpy 7:38:58 What is Numpy? 7:41:43 Numpy vs List 7:49:03 Numpy Operations 8:05:23 Numpy Special Functions 8:09:58 SciPy 8:10:48 What is Python SciPy? 8:12:23 Basic Functions 8:15:48 Special Functions 8:18:53 Integration Functions 8:24:43 Linear Algebra 8:26:48 Interpolation Functions 8:28:18 Pandas 8:29:18 Data life-cycle 8:31:23 What is Pandas? 8:35:33 Pandas Operations 8:54:13 Example 8:59:38 Python for Statistics 9:02:43 Pydoop 9:04:03 Matplotlib 9:04:28 Data Visualization 9:09:13 Matplotlib 9:10:13 Types of Plots 9:30:13 Multiple Plots 9:32:18 Seaborn 9:32:53 Introduction to Seaborn 9:33:33 Seaborn vs Matplotlib 9:34:28 How to install Seaborn? 9:34:48 Installing Dependencies 9:35:33 Python Seaborn Functions 9:44:23 Multi-Plot Grids 9:47:08 Plot Aesthetics 9:50:58 FIFA Use-case 10:15:33 OpenCV Tutorial 10:16:03 What is Computer Vision? 10:16:48 How computer reads an Image? 10:18:53 What is OpenCV? 10:19:58 Basic operations with OpenCV 10:27:33 Face Detection 10:27:38 Face Detection using OpenCV 10:31:53 Capturing Video 10:43:28 Use-case - Motion Detector 10:54:58 Web Development Framework 10:55:23 What are Frameworks in Python? 11:08:34 Python Web Development 11:09:04 Python Web Development Libraries 11:09:24 Python & Django 11:28:19 Web Scraping 11:33:49 Packages used for web Scraping
4:32:52 File Operations for Reading 4:41:27 Python File Write Method 4:47:37 Decorator 4:48:22 Functions in Python 4:54:07 Decorators in Python 5:08:32 Lambda 5:10:17 How to write Anonymous functions? 5:29:02 Map-Reduce Functions 5:29:47 Introduction to map(), filter(), reduce() 5:46:22 What are Generators? 5:47:32 Normal functions vs Generators 5:48:02 Writing Generators in Python 5:52:57 Generators with Loops 5:53:57 Generator Expressions 5:56:22 Use-Cases 6:02:27 OOPS Concepts 6:03:07 Classes & Objects 6:33:47 Inheritance in Python 6:36:52 Types of Inheritance 6:42:47 Python Super Function 6:44:52 Exception Handling 6:54:42 Try & Except block 7:05:52 Python Module 7:07:47 How to create a Module? 7:17:33 Python Modules Search Path 7:24:23 Date & Time 7:24:58 time module 7:38:23 Numpy 7:38:58 What is Numpy? 7:41:43 Numpy vs List 7:49:03 Numpy Operations 8:05:23 Numpy Special Functions 8:09:58 SciPy 8:10:48 What is Python SciPy? 8:12:23 Basic Functions 8:15:48 Special Functions 8:18:53 Integration Functions 8:24:43 Linear Algebra 8:26:48 Interpolation Functions 8:28:18 Pandas 8:29:18 Data life-cycle 8:31:23 What is Pandas? 8:35:33 Pandas Operations 8:54:13 Example 8:59:38 Python for Statistics 9:02:43 Pydoop 9:04:03 Matplotlib 9:04:28 Data Visualization 9:09:13 Matplotlib 9:10:13 Types of Plots 9:30:13 Multiple Plots 9:32:18 Seaborn 9:32:53 Introduction to Seaborn 9:33:33 Seaborn vs Matplotlib 9:34:28 How to install Seaborn? 9:34:48 Installing Dependencies 9:35:33 Python Seaborn Functions 9:44:23 Multi-Plot Grids 9:47:08 Plot Aesthetics 9:50:58 FIFA Use-case 10:15:33 OpenCV Tutorial 10:16:03 What is Computer Vision? 10:16:48 How computer reads an Image? 10:18:53 What is OpenCV? 10:19:58 Basic operations with OpenCV 10:27:33 Face Detection 10:27:38 Face Detection using OpenCV 10:31:53 Capturing Video 10:43:28 Use-case - Motion Detector 10:54:58 Web Development Framework 10:55:23 What are Frameworks in Python? 11:08:34 Python Web Development 11:09:04 Python Web Development Libraries 11:09:24 Python & Django 11:28:19 Web Scraping 11:33:49 Packages used for web Scraping
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00:00 Introduction 1:55 What is Python? 3:40 Why is Python popular? 4:55 Features of Python 6:50 Where is Python used in the industry? 7:50 Learning Path 9:15 Career Opportunities 10:30 How Netflix use Python? 11:55 How does it use Python? 18:15 Python Developer Salary 18:50 Who is Python Developer? 19:20 Python Developer Job Trends 21:55 How to become a Python Developer? 23:05 Who is a Python developer? 33:50 Job Roles 41:40 Emerging Job Roles 44:30 Road Map 47:05 Python Installation 54:30 How to run a Python program? 58:35 Best IDE for Python 59:35 What is an IDE? 59:50 Features of an IDE 1:00:50 Best IDEs of Python 1:07:40 PyCharm Tutorial 1:07:42 Introduction to PyCharm 1:09:07 Features of PyCharm 1:28:02 Comments in Python 1:28:52 What are Comments? 1:29:47 When to use Python? 1:30:22 How to write comments in Python? 1:32:22 Types of Comments 1:35:57 Docstring Comments 1:39:02 Variables & Data Types 1:39:17 Variable definition & Declaration 1:41:22 Data Types 1:41:42 Numbers 1:43:12 String 1:46:02 List 1:48:12 Dictionary 1:50:12 Tuple 1:51:27 Set 1:53:52 Type Conversion 1:54:42 Python Collections 1:57:12 Specialised Collections Data Types 2:14:57 Arrays 2:15:32 What is an Array? 2:17:27 How to create Arrays in Python? 2:20:52 Accessing Array Elements 2:22:42 Basic Array Operations 2:24:27 Adding elements to an Array 2:27:52 Removing Elements of an Array 2:33:42 Slicing an Array 2:36:12 Looping through an Array 2:39:57 Hash Table and HashMap 2:41:37 Creating Dictionaries 2:44:02 Nested dictionaries 2:46:52 Performing Operations on Hash Table 2:55:32 Operators in Python 3:13:17 Loops in Python 3:13:52 Why to use Python? 3:16:12 What are Loops? 3:18:07 Loops in Python 3:18:17 While Loop 3:26:22 For Loop 3:32:22 Nested Loop 3:48:12 Patterns in Python 4:24:27 File Handling 4:25:07 Why need File Handling 4:27:02 Types of Files 4:28:37 What is File Handling? 4:29:22 Python File Handling System 4:32:52 File Operations for Reading 4:41:27 Python File Write Method 4:47:37 Decorator 4:48:22 Functions in Python 4:54:07 Decorators in Python 5:08:32 Lambda 5:10:17 How to write Anonymous functions? 5:29:02 Map-Reduce Functions 5:29:47 Introduction to map(), filter(), reduce() 5:46:22 What are Generators? 5:47:32 Normal functions vs Generators 5:48:02 Writing Generators in Python 5:52:57 Generators with Loops 5:53:57 Generator Expressions 5:56:22 Use-Cases 6:02:27 OOPS Concepts 6:03:07 Classes & Objects 6:33:47 Inheritance in Python 6:36:52 Types of Inheritance 6:42:47 Python Super Function 6:44:52 Exception Handling 6:54:42 Try & Except block 7:05:52 Python Module 7:07:47 How to create a Module? 7:17:33 Python Modules Search Path 7:24:23 Date & Time 7:24:58 time module 7:38:23 Numpy 7:38:58 What is Numpy? 7:41:43 Numpy vs List 7:49:03 Numpy Operations 8:05:23 Numpy Special Functions 8:09:58 SciPy 8:10:48 What is Python SciPy? 8:12:23 Basic Functions 8:15:48 Special Functions 8:18:53 Integration Functions 8:24:43 Linear Algebra 8:26:48 Interpolation Functions 8:28:18 Pandas 8:29:18 Data life-cycle 8:31:23 What is Pandas? 8:35:33 Pandas Operations 8:54:13 Example 8:59:38 Python for Statistics 9:02:43 Pydoop 9:04:03 Matplotlib 9:04:28 Data Visualization 9:09:13 Matplotlib 9:10:13 Types of Plots 9:30:13 Multiple Plots 9:32:18 Seaborn 9:32:53 Introduction to Seaborn 9:33:33 Seaborn vs Matplotlib 9:34:28 How to install Seaborn? 9:34:48 Installing Dependencies 9:35:33 Python Seaborn Functions 9:44:23 Multi-Plot Grids 9:47:08 Plot Aesthetics 9:50:58 FIFA Use-case 10:15:33 OpenCV Tutorial 10:16:03 What is Computer Vision? 10:16:48 How computer reads an Image? 10:18:53 What is OpenCV? 10:19:58 Basic operations with OpenCV 10:27:33 Face Detection 10:27:38 Face Detection using OpenCV 10:31:53 Capturing Video 10:43:28 Use-case - Motion Detector 10:54:58 Web Development Framework 10:55:23 What are Frameworks in Python? 11:08:34 Python Web Development 11:09:04 Python Web Development Libraries 11:09:24 Python & Django 11:28:19 Web Scraping 11:33:49 Packages used for web Scraping
I was like - Jaw drop. These guys at Edureka are doing Python for free where bogus institute dont even teach 50% of what you are teaching. Great Work Guys. This need lot of hard work ! God bless you dear young aspiring teachers. Knowledge is free. Yes I believe it at Edureka. A humble request - Please make a tutorial series for Android app development - Android Studio.
12 hours of video compilation takes a lot of courage and determination, you guys are life saves. please keep doing the good works... God richly bless you guys. thank you very much
the great thing is edureka gives everything free including all latest techniques ... i really appreciate it.. please keep do this wonderful teaching ... best luck
Really enjoyed and appreciated Thankfully to this team with full heartedly thanks You teams made a great sacrificefor the community thanks allot ❤️🙏❣️❣️❣️❤️🙏🙏❤️❣️❤️❤️❣️🙏🙏❣️❤️
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when I was worried of not having a computer science background..., You guys became my inspiration... Came back here after three months for leaving this comment 😂 Thank you so so much ❤️
Oh my god, i never thought we could get such courses on youtube thank you so much edureka for putting this on youtube this has been great ....and the fact that its free and so many could access it is amazing tysm again ❤️
Happy to hear that!We are glad to have learners like you :)Thanks for watching! Glad you liked it ! Do subscribe our channel and hit that bell icon to never miss an video from our channel .
You guys are doing great. You are the first to make me understand python in such an easy way.The graphics on the video are so attractive.If you are watching this video with all your concentration,then this video will make you master in python.In today's time,nobody gives knowledge like these guys.you guys are just amazing.Really have done a very hard work to make this video. Salute to these guys for their hard work.
The start and end point in the slicing operation is not mentioned, meaning it will slice the whole array. But the step is 2. Therefore you are getting the output. Hope that solves your query.
here is all the topics covered and their time stamp 1:55 What is Python? 3:40 Why is Python popular? 4:55 Features of Python 6:50 Where is Python used in the industry? 7:50 Learning Path 9:15 Career Opportunities 10:30 How Netflix use Python? 11:55 How does it use Python? 18:15 Python Developer Salary 18:50 Who is Python Developer? 19:20 Python Developer Job Trends 21:55 How to become a Python Developer? 23:05 Who is a Python developer? 33:50 Job Roles 41:40 Emerging Job Roles 44:30 Road Map 47:05 Python Installation 54:30 How to run a Python program? 58:35 Best IDE for Python 59:35 What is an IDE? 59:50 Features of an IDE 1:00:50 Best IDEs of Python 1:07:40 PyCharm Tutorial 1:07:42 Introduction to PyCharm 1:09:07 Features of PyCharm 1:28:02 Comments in Python 1:28:52 What are Comments? 1:29:47 When to use Python? 1:30:22 How to write comments in Python? 1:32:22 Types of Comments 1:35:57 Docstring Comments 1:39:02 Variables & Data Types 1:39:17 Variable definition & Declaration 1:41:22 Data Types 1:41:42 Numbers 1:43:12 String 1:46:02 List 1:48:12 Dictionary 1:50:12 Tuple 1:51:27 Set 1:53:52 Type Conversion 1:54:42 Python Collections 1:57:12 Specialised Collections Data Types 2:14:57 Arrays 2:15:32 What is an Array? 2:17:27 How to create Arrays in Python? 2:20:52 Accessing Array Elements 2:22:42 Basic Array Operations 2:24:27 Adding elements to an Array 2:27:52 Removing Elements of an Array 2:33:42 Slicing an Array 2:36:12 Looping through an Array 2:39:57 Hash Table and HashMap 2:41:37 Creating Dictionaries 2:44:02 Nested dictionaries 2:46:52 Performing Operations on Hash Table 2:55:32 Operators in Python 3:13:17 Loops in Python 3:13:52 Why to use Python? 3:16:12 What are Loops? 3:18:07 Loops in Python 3:18:17 While Loop 3:26:22 For Loop 3:32:22 Nested Loop 3:48:12 Patterns in Python 4:24:27 File Handling 4:25:07 Why need File Handling 4:27:02 Types of Files 4:28:37 What is File Handling? 4:29:22 Python File Handling System 4:32:52 File Operations for Reading 4:41:27 Python File Write Method 4:47:37 Decorator 4:48:22 Functions in Python 4:54:07 Decorators in Python 5:08:32 Lambda 5:10:17 How to write Anonymous functions? 5:29:02 Map-Reduce Functions 5:29:47 Introduction to map(), filter(), reduce() 5:46:22 What are Generators? 5:47:32 Normal functions vs Generators 5:48:02 Writing Generators in Python 5:52:57 Generators with Loops 5:53:57 Generator Expressions 5:56:22 Use-Cases 6:02:27 OOPS Concepts 6:03:07 Classes & Objects 6:33:47 Inheritance in Python 6:36:52 Types of Inheritance 6:42:47 Python Super Function 6:44:52 Exception Handling 6:54:42 Try & Except block 7:05:52 Python Module 7:07:47 How to create a Module? 7:17:33 Python Modules Search Path 7:24:23 Date & Time 7:24:58 time module 7:38:23 Numpy 7:38:58 What is Numpy? 7:41:43 Numpy vs List 7:49:03 Numpy Operations 8:05:23 Numpy Special Functions 8:09:58 SciPy 8:10:48 What is Python SciPy? 8:12:23 Basic Functions 8:15:48 Special Functions 8:18:53 Integration Functions 8:24:43 Linear Algebra 8:26:48 Interpolation Functions 8:28:18 Pandas 8:29:18 Data life-cycle 8:31:23 What is Pandas? 8:35:33 Pandas Operations 8:54:13 Example 8:59:38 Python for Statistics 9:02:43 Pydoop 9:04:03 Matplotlib 9:04:28 Data Visualization 9:09:13 Matplotlib 9:10:13 Types of Plots 9:30:13 Multiple Plots 9:32:18 Seaborn 9:32:53 Introduction to Seaborn 9:33:33 Seaborn vs Matplotlib 9:34:28 How to install Seaborn? 9:34:48 Installing Dependencies 9:35:33 Python Seaborn Functions 9:44:23 Multi-Plot Grids 9:47:08 Plot Aesthetics 9:50:58 FIFA Use-case 10:15:33 OpenCV Tutorial 10:16:03 What is Computer Vision? 10:16:48 How computer reads an Image? 10:18:53 What is OpenCV? 10:19:58 Basic operations with OpenCV 10:27:33 Face Detection 10:27:38 Face Detection using OpenCV 10:31:53 Capturing Video 10:43:28 Use-case - Motion Detector 10:54:58 Web Development Framework 10:55:23 What are Frameworks in Python? 11:08:34 Python Web Development 11:09:04 Python Web Development Libraries 11:09:24 Python & Django 11:28:19 Web Scraping 11:33:49 Packages used for web Scraping
Thanks for your course of 12hours straight no ads , you guys are doing great thing to be go in good lane instead of wasting time on other applications 😊
Hey :) ALL THE VERY BEST! Give your best in your interview :) Hope you get all the success in life :) Thank you for being a part of our team :) Stay connected :) Subscribe to our channel :)
Edureka is a terrific way of learning stuffs online. Your courses are articulate in both seeing and listening. You guys have posted almost every course of all the hot topics of 2020 and further decade. Thanks! a lot for all the efforts . I have a request for you guys, can you please make a complete tutorial on computer graphics from scratch? like all the physics and math used in it along with all the camera physics and all the acoustics and sound technical; a complete Computer Graphics course. Can you guys please make it?
Thank You edureka! Team....You all covered all the Python course in just 12 hours....Hope you'll make this type of videos on other languages as well as on Data science and On AI...Lots of love edureka team ❤️❤️
4:36:30 for me it gives unicode error as the string we use to specify the path is normal so of anybody have same issue Just put small r before the double quotes it will be fixed
def a(x): return(lambda y:x+y) t =a(4); print(t(8)) u = a(7); print(u(5)); in the above syntaxs the lambda expression how to recognising the u(5), i'm understading thee u = a(5), then how recognising the u(5) could you plase help us.
I'm a QA Engineer and interested to learn python for automation . Does this video cover all the relevant topics or do you have any other link to learn .
We are happy that Edureka is helping you learn better ! We are happy to have learners like you :) Please share your mail id to share the data sheets :) Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
The video was so useful and I thank the teacher very much . FREE EDUCATION is the best form of eradication of untouchability and illiteracy . I think so u guys are doing great work for the society .. I request you to please post another video like this , completly based on C++. Super guys . 👍🏼👍🏼👍🏼👌👌💥🌟⭐⚡ Waiting for your reply.
Hi ! Good to know that our videos are helping you to learn better :) Please share your mail id to share the data sheets :)We’ll update you soon . Do subscribe the channel for more updates : )
you guys have provided an amazing video tutorial and am very thankful for that. but i just wanna say that the decorator part isn't too much effective for beginners although you have made this tutorial for beginners.
I appreciate providing such detailed explanation for all topics. Also, I'm getting an error while executing the single class decorator example. Could you please confirm on that?
You're welcome 😊 Stay connected with our channel and team :) . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
Thanks for the compliment! You can also check out our online training here: Python Certification Training for Data Science - bit.ly/2KJaAt9 Use code "RUclips20" to get Flat 20% off on this training.
Hi Shrishti, obtaining a Python certification right now is worth considering if you're trying to take your career to the next level in terms of better job positions and a higher salary after your post graduation. For further assistance from our course advisors, please provide us your email ID and contact number (it will not be published).
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Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Python Programming Certification Curriculum, Visit our Website: bit.ly/2Y58PfN (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") 🔴Subscribe to Edureka RUclips channel for latest video updates: bit.ly/2ADbbb1
Below is the video timestamp:
1:55 What is Python?
3:40 Why is Python popular?
4:55 Features of Python
6:50 Where is Python used in the industry?
7:50 Learning Path
9:15 Career Opportunities
10:30 How Netflix use Python?
11:55 How does it use Python?
18:15 Python Developer Salary
18:50 Who is Python Developer?
19:20 Python Developer Job Trends
21:55 How to become a Python Developer?
23:05 Who is a Python developer?
33:50 Job Roles
41:40 Emerging Job Roles
44:30 Road Map
47:05 Python Installation
54:30 How to run a Python program?
58:35 Best IDE for Python
59:35 What is an IDE?
59:50 Features of an IDE
1:00:50 Best IDEs of Python
1:07:40 PyCharm Tutorial
1:07:42 Introduction to PyCharm
1:09:07 Features of PyCharm
1:28:02 Comments in Python
1:28:52 What are Comments?
1:29:47 When to use Python?
1:30:22 How to write comments in Python?
1:32:22 Types of Comments
1:35:57 Docstring Comments
1:39:02 Variables & Data Types
1:39:17 Variable definition & Declaration
1:41:22 Data Types
1:41:42 Numbers
1:43:12 String
1:46:02 List
1:48:12 Dictionary
1:50:12 Tuple
1:51:27 Set
1:53:52 Type Conversion
1:54:42 Python Collections
1:57:12 Specialised Collections Data Types
2:14:57 Arrays
2:15:32 What is an Array?
2:17:27 How to create Arrays in Python?
2:20:52 Accessing Array Elements
2:22:42 Basic Array Operations
2:24:27 Adding elements to an Array
2:27:52 Removing Elements of an Array
2:33:42 Slicing an Array
2:36:12 Looping through an Array
2:39:57 Hash Table and HashMap
2:41:37 Creating Dictionaries
2:44:02 Nested dictionaries
2:46:52 Performing Operations on Hash Table
2:55:32 Operators in Python
3:13:17 Loops in Python
3:13:52 Why to use Python?
3:16:12 What are Loops?
3:18:07 Loops in Python
3:18:17 While Loop
3:26:22 For Loop
3:32:22 Nested Loop
3:48:12 Patterns in Python
4:24:27 File Handling
4:25:07 Why need File Handling
4:27:02 Types of Files
4:28:37 What is File Handling?
4:29:22 Python File Handling System
4:32:52 File Operations for Reading
4:41:27 Python File Write Method
4:47:37 Decorator
4:48:22 Functions in Python
4:54:07 Decorators in Python
5:08:32 Lambda
5:10:17 How to write Anonymous functions?
5:29:02 Map-Reduce Functions
5:29:47 Introduction to map(), filter(), reduce()
5:46:22 What are Generators?
5:47:32 Normal functions vs Generators
5:48:02 Writing Generators in Python
5:52:57 Generators with Loops
5:53:57 Generator Expressions
5:56:22 Use-Cases
6:02:27 OOPS Concepts
6:03:07 Classes & Objects
6:33:47 Inheritance in Python
6:36:52 Types of Inheritance
6:42:47 Python Super Function
6:44:52 Exception Handling
6:54:42 Try & Except block
7:05:52 Python Module
7:07:47 How to create a Module?
7:17:33 Python Modules Search Path
7:24:23 Date & Time
7:24:58 time module
7:38:23 Numpy
7:38:58 What is Numpy?
7:41:43 Numpy vs List
7:49:03 Numpy Operations
8:05:23 Numpy Special Functions
8:09:58 SciPy
8:10:48 What is Python SciPy?
8:12:23 Basic Functions
8:15:48 Special Functions
8:18:53 Integration Functions
8:24:43 Linear Algebra
8:26:48 Interpolation Functions
8:28:18 Pandas
8:29:18 Data life-cycle
8:31:23 What is Pandas?
8:35:33 Pandas Operations
8:54:13 Example
8:59:38 Python for Statistics
9:02:43 Pydoop
9:04:03 Matplotlib
9:04:28 Data Visualization
9:09:13 Matplotlib
9:10:13 Types of Plots
9:30:13 Multiple Plots
9:32:18 Seaborn
9:32:53 Introduction to Seaborn
9:33:33 Seaborn vs Matplotlib
9:34:28 How to install Seaborn?
9:34:48 Installing Dependencies
9:35:33 Python Seaborn Functions
9:44:23 Multi-Plot Grids
9:47:08 Plot Aesthetics
9:50:58 FIFA Use-case
10:15:33 OpenCV Tutorial
10:16:03 What is Computer Vision?
10:16:48 How computer reads an Image?
10:18:53 What is OpenCV?
10:19:58 Basic operations with OpenCV
10:27:33 Face Detection
10:27:38 Face Detection using OpenCV
10:31:53 Capturing Video
10:43:28 Use-case - Motion Detector
10:54:58 Web Development Framework
10:55:23 What are Frameworks in Python?
11:08:34 Python Web Development
11:09:04 Python Web Development Libraries
11:09:24 Python & Django
11:28:19 Web Scraping
11:33:49 Packages used for web Scraping
Much needed course
Thanks
great effort from edureka...but a playlist will be more efficient in respective of views and learning 😍
Is this course is suitable for a pure beginner who has no knowledge of python?..
edureka! Please make a discord channel.. where we viewers and programmes can interact... Plz
@@Gauravsingh-oe6gn for beginner
12 hours without ads ! Well I still have faith in humanity !
a more concise content list
1:55 What is Python?
3:40 Why is Python popular?
4:55 Features of Python
6:50 Where is Python used in the industry?
7:50 Learning Path
9:15 Career Opportunities
10:30 How Netflix use Python?
11:55 How does it use Python?
18:15 Python Developer Salary
18:50 Who is Python Developer?
19:20 Python Developer Job Trends
21:55 How to become a Python Developer?
23:05 Who is a Python developer?
33:50 Job Roles
41:40 Emerging Job Roles
44:30 Road Map
47:05 Python Installation
54:30 How to run a Python program?
58:35 Best IDE for Python
59:35 What is an IDE?
59:50 Features of an IDE
1:00:50 Best IDEs of Python
1:07:40 PyCharm Tutorial
1:07:42 Introduction to PyCharm
1:09:07 Features of PyCharm
1:28:02 Comments in Python
1:28:52 What are Comments?
1:29:47 When to use Python?
1:30:22 How to write comments in Python?
1:32:22 Types of Comments
1:35:57 Docstring Comments
1:39:02 Variables & Data Types
1:39:17 Variable definition & Declaration
1:41:22 Data Types
1:41:42 Numbers
1:43:12 String
1:46:02 List
1:48:12 Dictionary
1:50:12 Tuple
1:51:27 Set
1:53:52 Type Conversion
1:54:42 Python Collections
1:57:12 Specialised Collections Data Types
2:14:57 Arrays
2:15:32 What is an Array?
2:17:27 How to create Arrays in Python?
2:20:52 Accessing Array Elements
2:22:42 Basic Array Operations
2:24:27 Adding elements to an Array
2:27:52 Removing Elements of an Array
2:33:42 Slicing an Array
2:36:12 Looping through an Array
2:39:57 Hash Table and HashMap
2:41:37 Creating Dictionaries
2:44:02 Nested dictionaries
2:46:52 Performing Operations on Hash Table
2:55:32 Operators in Python
3:13:17 Loops in Python
3:13:52 Why to use Python?
3:16:12 What are Loops?
3:18:07 Loops in Python
3:18:17 While Loop
3:26:22 For Loop
3:32:22 Nested Loop
3:48:12 Patterns in Python
4:24:27 File Handling
4:25:07 Why need File Handling
4:27:02 Types of Files
4:28:37 What is File Handling?
4:29:22 Python File Handling System
4:32:52 File Operations for Reading
4:41:27 Python File Write Method
4:47:37 Decorator
4:48:22 Functions in Python
4:54:07 Decorators in Python
5:08:32 Lambda
5:10:17 How to write Anonymous functions?
5:29:02 Map-Reduce Functions
5:29:47 Introduction to map(), filter(), reduce()
5:46:22 What are Generators?
5:47:32 Normal functions vs Generators
5:48:02 Writing Generators in Python
5:52:57 Generators with Loops
5:53:57 Generator Expressions
5:56:22 Use-Cases
6:02:27 OOPS Concepts
6:03:07 Classes & Objects
6:33:47 Inheritance in Python
6:36:52 Types of Inheritance
6:42:47 Python Super Function
6:44:52 Exception Handling
6:54:42 Try & Except block
7:05:52 Python Module
7:07:47 How to create a Module?
7:17:33 Python Modules Search Path
7:24:23 Date & Time
7:24:58 time module
7:38:23 Numpy
7:38:58 What is Numpy?
7:41:43 Numpy vs List
7:49:03 Numpy Operations
8:05:23 Numpy Special Functions
8:09:58 SciPy
8:10:48 What is Python SciPy?
8:12:23 Basic Functions
8:15:48 Special Functions
8:18:53 Integration Functions
8:24:43 Linear Algebra
8:26:48 Interpolation Functions
8:28:18 Pandas
8:29:18 Data life-cycle
8:31:23 What is Pandas?
8:35:33 Pandas Operations
8:54:13 Example
8:59:38 Python for Statistics
9:02:43 Pydoop
9:04:03 Matplotlib
9:04:28 Data Visualization
9:09:13 Matplotlib
9:10:13 Types of Plots
9:30:13 Multiple Plots
9:32:18 Seaborn
9:32:53 Introduction to Seaborn
9:33:33 Seaborn vs Matplotlib
9:34:28 How to install Seaborn?
9:34:48 Installing Dependencies
9:35:33 Python Seaborn Functions
9:44:23 Multi-Plot Grids
9:47:08 Plot Aesthetics
9:50:58 FIFA Use-case
10:15:33 OpenCV Tutorial
10:16:03 What is Computer Vision?
10:16:48 How computer reads an Image?
10:18:53 What is OpenCV?
10:19:58 Basic operations with OpenCV
10:27:33 Face Detection
10:27:38 Face Detection using OpenCV
10:31:53 Capturing Video
10:43:28 Use-case - Motion Detector
10:54:58 Web Development Framework
10:55:23 What are Frameworks in Python?
11:08:34 Python Web Development
11:09:04 Python Web Development Libraries
11:09:24 Python & Django
11:28:19 Web Scraping
11:33:49 Packages used for web Scraping
Thanks
Thank you so much
Thx
Thanks!
Good
In a world where money is everything these guys are doing it for free
Keep doing the great work . Thanks ❤️
You are most welcome Sohail.
i started my journey from edureka free course..big data (haddop and spark) sql and cassendra,python,tableu,machine learning and data science cloud computing ...now i am working in honeywell as a fresher..think!salute edureka..aap hamesha yaad rahoge..
@@abhilashsahu4235 your reply to this channel gives me boast now i hope definitely i too get good job in my future
I respect .....
3:40 Why is Python popular?
4:55 Features of Python
6:50 Where is Python used in the industry?
7:50 Learning Path
9:15 Career Opportunities
10:30 How Netflix use Python?
11:55 How does it use Python?
18:15 Python Developer Salary
18:50 Who is Python Developer?
19:20 Python Developer Job Trends
21:55 How to become a Python Developer?
23:05 Who is a Python developer?
33:50 Job Roles
41:40 Emerging Job Roles
44:30 Road Map
47:05 Python Installation
54:30 How to run a Python program?
58:35 Best IDE for Python
59:35 What is an IDE?
59:50 Features of an IDE
1:00:50 Best IDEs of Python
1:07:40 PyCharm Tutorial
1:07:42 Introduction to PyCharm
1:09:07 Features of PyCharm
1:28:02 Comments in Python
1:28:52 What are Comments?
1:29:47 When to use Python?
1:30:22 How to write comments in Python?
1:32:22 Types of Comments
1:35:57 Docstring Comments
1:39:02 Variables & Data Types
1:39:17 Variable definition & Declaration
1:41:22 Data Types
1:41:42 Numbers
1:43:12 String
1:46:02 List
1:48:12 Dictionary
1:50:12 Tuple
1:51:27 Set
1:53:52 Type Conversion
1:54:42 Python Collections
1:57:12 Specialised Collections Data Types
2:14:57 Arrays
2:15:32 What is an Array?
2:17:27 How to create Arrays in Python?
2:20:52 Accessing Array Elements
2:22:42 Basic Array Operations
2:24:27 Adding elements to an Array
2:27:52 Removing Elements of an Array
2:33:42 Slicing an Array
2:36:12 Looping through an Array
2:39:57 Hash Table and HashMap
2:41:37 Creating Dictionaries
2:44:02 Nested dictionaries
2:46:52 Performing Operations on Hash Table
2:55:32 Operators in Python
3:13:17 Loops in Python
3:13:52 Why to use Python?
3:16:12 What are Loops?
3:18:07 Loops in Python
3:18:17 While Loop
3:26:22 For Loop
3:32:22 Nested Loop
3:48:12 Patterns in Python
4:24:27 File Handling
4:25:07 Why need File Handling
4:27:02 Types of Files
4:28:37 What is File Handling?
4:29:22 Python File Handling System
4:32:52 File Operations for Reading
4:41:27 Python File Write Method
4:47:37 Decorator
4:48:22 Functions in Python
4:54:07 Decorators in Python
5:08:32 Lambda
5:10:17 How to write Anonymous functions?
5:29:02 Map-Reduce Functions
5:29:47 Introduction to map(), filter(), reduce()
5:46:22 What are Generators?
5:47:32 Normal functions vs Generators
5:48:02 Writing Generators in Python
5:52:57 Generators with Loops
5:53:57 Generator Expressions
5:56:22 Use-Cases
6:02:27 OOPS Concepts
6:03:07 Classes & Objects
6:33:47 Inheritance in Python
6:36:52 Types of Inheritance
6:42:47 Python Super Function
6:44:52 Exception Handling
6:54:42 Try & Except block
7:05:52 Python Module
7:07:47 How to create a Module?
7:17:33 Python Modules Search Path
7:24:23 Date & Time
7:24:58 time module
7:38:23 Numpy
7:38:58 What is Numpy?
7:41:43 Numpy vs List
7:49:03 Numpy Operations
8:05:23 Numpy Special Functions
8:09:58 SciPy
8:10:48 What is Python SciPy?
8:12:23 Basic Functions
8:15:48 Special Functions
8:18:53 Integration Functions
8:24:43 Linear Algebra
8:26:48 Interpolation Functions
8:28:18 Pandas
8:29:18 Data life-cycle
8:31:23 What is Pandas?
8:35:33 Pandas Operations
8:54:13 Example
8:59:38 Python for Statistics
9:02:43 Pydoop
9:04:03 Matplotlib
9:04:28 Data Visualization
9:09:13 Matplotlib
9:10:13 Types of Plots
9:30:13 Multiple Plots
9:32:18 Seaborn
9:32:53 Introduction to Seaborn
9:33:33 Seaborn vs Matplotlib
9:34:28 How to install Seaborn?
9:34:48 Installing Dependencies
9:35:33 Python Seaborn Functions
9:44:23 Multi-Plot Grids
9:47:08 Plot Aesthetics
9:50:58 FIFA Use-case
10:15:33 OpenCV Tutorial
10:16:03 What is Computer Vision?
10:16:48 How computer reads an Image?
10:18:53 What is OpenCV?
10:19:58 Basic operations with OpenCV
10:27:33 Face Detection
10:27:38 Face Detection using OpenCV
10:31:53 Capturing Video
10:43:28 Use-case - Motion Detector
10:54:58 Web Development Framework
10:55:23 What are Frameworks in Python?
11:08:34 Python Web Development
11:09:04 Python Web Development Libraries
11:09:24 Python & Django
11:28:19 Web Scraping
11:33:49 Packages used for web Scraping
45 min of hardwork
Hmm? You should have checked the description mate
Thnks alot🥺
This is why I love Indians.
their youtube tuturial videos are masterpiece.
I think people in India understand the essence if proper IT: "Sharing the knowledge" Thank you very very very much!
preparing, planning and making 12 hours of structured courses takes huges resources, time efforts, competencies... so thank U , for all team of edureka....
You are most welcome Mahmoud.
7:38:23 Numpy
7:38:58 What is Numpy?
7:41:43 Numpy vs List
7:49:03 Numpy Operations
8:05:23 Numpy Special Functions
8:09:58 SciPy
8:10:48 What is Python SciPy?
8:12:23 Basic Functions
8:15:48 Special Functions
8:18:53 Integration Functions
8:24:43 Linear Algebra
8:26:48 Interpolation Functions
8:28:18 Pandas
8:29:18 Data life-cycle
8:31:23 What is Pandas?
8:35:33 Pandas Operations
8:54:13 Example
8:59:38 Python for Statistics
9:02:43 Pydoop
9:04:03 Matplotlib
9:04:28 Data Visualization
9:09:13 Matplotlib
9:10:13 Types of Plots
9:30:13 Multiple Plots
9:32:18 Seaborn
9:32:53 Introduction to Seaborn
9:33:33 Seaborn vs Matplotlib
9:34:28 How to install Seaborn?
9:34:48 Installing Dependencies
9:35:33 Python Seaborn Functions
9:44:23 Multi-Plot Grids
9:47:08 Plot Aesthetics
9:50:58 FIFA Use-case
10:15:33 OpenCV Tutorial
10:16:03 What is Computer Vision?
10:16:48 How computer reads an Image?
10:18:53 What is OpenCV?
10:19:58 Basic operations with OpenCV
10:27:33 Face Detection
10:27:38 Face Detection using OpenCV
10:31:53 Capturing Video
10:43:28 Use-case - Motion Detector
10:54:58 Web Development Framework
10:55:23 What are Frameworks in Python?
11:08:34 Python Web Development
11:09:04 Python Web Development Libraries
11:09:24 Python & Django
11:28:19 Web Scraping
11:33:49 Packages used for web Scraping
4:32:52 File Operations for Reading
4:41:27 Python File Write Method
4:47:37 Decorator
4:48:22 Functions in Python
4:54:07 Decorators in Python
5:08:32 Lambda
5:10:17 How to write Anonymous functions?
5:29:02 Map-Reduce Functions
5:29:47 Introduction to map(), filter(), reduce()
5:46:22 What are Generators?
5:47:32 Normal functions vs Generators
5:48:02 Writing Generators in Python
5:52:57 Generators with Loops
5:53:57 Generator Expressions
5:56:22 Use-Cases
6:02:27 OOPS Concepts
6:03:07 Classes & Objects
6:33:47 Inheritance in Python
6:36:52 Types of Inheritance
6:42:47 Python Super Function
6:44:52 Exception Handling
6:54:42 Try & Except block
7:05:52 Python Module
7:07:47 How to create a Module?
7:17:33 Python Modules Search Path
7:24:23 Date & Time
7:24:58 time module
7:38:23 Numpy
7:38:58 What is Numpy?
7:41:43 Numpy vs List
7:49:03 Numpy Operations
8:05:23 Numpy Special Functions
8:09:58 SciPy
8:10:48 What is Python SciPy?
8:12:23 Basic Functions
8:15:48 Special Functions
8:18:53 Integration Functions
8:24:43 Linear Algebra
8:26:48 Interpolation Functions
8:28:18 Pandas
8:29:18 Data life-cycle
8:31:23 What is Pandas?
8:35:33 Pandas Operations
8:54:13 Example
8:59:38 Python for Statistics
9:02:43 Pydoop
9:04:03 Matplotlib
9:04:28 Data Visualization
9:09:13 Matplotlib
9:10:13 Types of Plots
9:30:13 Multiple Plots
9:32:18 Seaborn
9:32:53 Introduction to Seaborn
9:33:33 Seaborn vs Matplotlib
9:34:28 How to install Seaborn?
9:34:48 Installing Dependencies
9:35:33 Python Seaborn Functions
9:44:23 Multi-Plot Grids
9:47:08 Plot Aesthetics
9:50:58 FIFA Use-case
10:15:33 OpenCV Tutorial
10:16:03 What is Computer Vision?
10:16:48 How computer reads an Image?
10:18:53 What is OpenCV?
10:19:58 Basic operations with OpenCV
10:27:33 Face Detection
10:27:38 Face Detection using OpenCV
10:31:53 Capturing Video
10:43:28 Use-case - Motion Detector
10:54:58 Web Development Framework
10:55:23 What are Frameworks in Python?
11:08:34 Python Web Development
11:09:04 Python Web Development Libraries
11:09:24 Python & Django
11:28:19 Web Scraping
11:33:49 Packages used for web Scraping
The way Indian teachers teaches it directly goes to students' subconscious 👍
Thank you so much for the review ,we appreciate your efforts : ) We are glad that you have enjoyed your learning experience with us .Thank You for being a part of our Edureka team : ) Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
00:00 Introduction
1:55 What is Python?
3:40 Why is Python popular?
4:55 Features of Python
6:50 Where is Python used in the industry?
7:50 Learning Path
9:15 Career Opportunities
10:30 How Netflix use Python?
11:55 How does it use Python?
18:15 Python Developer Salary
18:50 Who is Python Developer?
19:20 Python Developer Job Trends
21:55 How to become a Python Developer?
23:05 Who is a Python developer?
33:50 Job Roles
41:40 Emerging Job Roles
44:30 Road Map
47:05 Python Installation
54:30 How to run a Python program?
58:35 Best IDE for Python
59:35 What is an IDE?
59:50 Features of an IDE
1:00:50 Best IDEs of Python
1:07:40 PyCharm Tutorial
1:07:42 Introduction to PyCharm
1:09:07 Features of PyCharm
1:28:02 Comments in Python
1:28:52 What are Comments?
1:29:47 When to use Python?
1:30:22 How to write comments in Python?
1:32:22 Types of Comments
1:35:57 Docstring Comments
1:39:02 Variables & Data Types
1:39:17 Variable definition & Declaration
1:41:22 Data Types
1:41:42 Numbers
1:43:12 String
1:46:02 List
1:48:12 Dictionary
1:50:12 Tuple
1:51:27 Set
1:53:52 Type Conversion
1:54:42 Python Collections
1:57:12 Specialised Collections Data Types
2:14:57 Arrays
2:15:32 What is an Array?
2:17:27 How to create Arrays in Python?
2:20:52 Accessing Array Elements
2:22:42 Basic Array Operations
2:24:27 Adding elements to an Array
2:27:52 Removing Elements of an Array
2:33:42 Slicing an Array
2:36:12 Looping through an Array
2:39:57 Hash Table and HashMap
2:41:37 Creating Dictionaries
2:44:02 Nested dictionaries
2:46:52 Performing Operations on Hash Table
2:55:32 Operators in Python
3:13:17 Loops in Python
3:13:52 Why to use Python?
3:16:12 What are Loops?
3:18:07 Loops in Python
3:18:17 While Loop
3:26:22 For Loop
3:32:22 Nested Loop
3:48:12 Patterns in Python
4:24:27 File Handling
4:25:07 Why need File Handling
4:27:02 Types of Files
4:28:37 What is File Handling?
4:29:22 Python File Handling System
4:32:52 File Operations for Reading
4:41:27 Python File Write Method
4:47:37 Decorator
4:48:22 Functions in Python
4:54:07 Decorators in Python
5:08:32 Lambda
5:10:17 How to write Anonymous functions?
5:29:02 Map-Reduce Functions
5:29:47 Introduction to map(), filter(), reduce()
5:46:22 What are Generators?
5:47:32 Normal functions vs Generators
5:48:02 Writing Generators in Python
5:52:57 Generators with Loops
5:53:57 Generator Expressions
5:56:22 Use-Cases
6:02:27 OOPS Concepts
6:03:07 Classes & Objects
6:33:47 Inheritance in Python
6:36:52 Types of Inheritance
6:42:47 Python Super Function
6:44:52 Exception Handling
6:54:42 Try & Except block
7:05:52 Python Module
7:07:47 How to create a Module?
7:17:33 Python Modules Search Path
7:24:23 Date & Time
7:24:58 time module
7:38:23 Numpy
7:38:58 What is Numpy?
7:41:43 Numpy vs List
7:49:03 Numpy Operations
8:05:23 Numpy Special Functions
8:09:58 SciPy
8:10:48 What is Python SciPy?
8:12:23 Basic Functions
8:15:48 Special Functions
8:18:53 Integration Functions
8:24:43 Linear Algebra
8:26:48 Interpolation Functions
8:28:18 Pandas
8:29:18 Data life-cycle
8:31:23 What is Pandas?
8:35:33 Pandas Operations
8:54:13 Example
8:59:38 Python for Statistics
9:02:43 Pydoop
9:04:03 Matplotlib
9:04:28 Data Visualization
9:09:13 Matplotlib
9:10:13 Types of Plots
9:30:13 Multiple Plots
9:32:18 Seaborn
9:32:53 Introduction to Seaborn
9:33:33 Seaborn vs Matplotlib
9:34:28 How to install Seaborn?
9:34:48 Installing Dependencies
9:35:33 Python Seaborn Functions
9:44:23 Multi-Plot Grids
9:47:08 Plot Aesthetics
9:50:58 FIFA Use-case
10:15:33 OpenCV Tutorial
10:16:03 What is Computer Vision?
10:16:48 How computer reads an Image?
10:18:53 What is OpenCV?
10:19:58 Basic operations with OpenCV
10:27:33 Face Detection
10:27:38 Face Detection using OpenCV
10:31:53 Capturing Video
10:43:28 Use-case - Motion Detector
10:54:58 Web Development Framework
10:55:23 What are Frameworks in Python?
11:08:34 Python Web Development
11:09:04 Python Web Development Libraries
11:09:24 Python & Django
11:28:19 Web Scraping
11:33:49 Packages used for web Scraping
A 11 hour course with subtitles?? And no ads!!!
Well this ought to be in the Guinness records
U guys r making big effort and help everyone to learn for free....
I was like - Jaw drop. These guys at Edureka are doing Python for free where bogus institute dont even teach 50% of what you are teaching. Great Work Guys. This need lot of hard work ! God bless you dear young aspiring teachers.
Knowledge is free. Yes I believe it at Edureka.
A humble request - Please make a tutorial series for Android app development - Android Studio.
"Knowledge is free" It is very much true in edureka
Thanks for this! Keep up the great work!
You're one of the channels that inspired me to create my own Coding channel as well.
Speakers are really experts in their area. Edureka is providing such valuable knowledge on python for free, this is really commendable. Thanks a lot.
Thanks my fellow indians, very good course, the best and the most complete course that i found till now. May God bless you all.
they explained a thousand times better than my cs class teacher. hats off to you guys! keep it up!
Same here bro
12 hours of video compilation takes a lot of courage and determination, you guys are life saves. please keep doing the good works... God richly bless you guys. thank you very much
Python is most important language so easy to understand ,Tqq edureka channel 😍😍
making 12 hours video for free is really praise work.
Thank you for the video .
Thank you for appreciating our work. Do subscribe to our channel and stay connected with us. Cheers :)
the great thing is edureka gives everything free including all latest techniques ... i really appreciate it.. please keep do this wonderful teaching ... best luck
Thanks for the appreciation! We are really glad you feel this way about our channel. Do subscribe and stay tuned for future updates. Cheers!
Really enjoyed and appreciated
Thankfully to this team with full heartedly thanks
You teams made a great sacrificefor the community thanks allot ❤️🙏❣️❣️❣️❤️🙏🙏❤️❣️❤️❤️❣️🙏🙏❣️❤️
I have been spend 2-3 daily to finish this. Nice 👍 work keep it up 🙂
Edit :- it took me 5 ½ day to complete
This video helped a lot to learn Python. I started from scratch and now I know the basic, thanks.
Thanks ma'am it's very helpful in lockdown time to learn..❤😊😊
Thanks for sharing this rich resource, folks!
You are welcome, keep learning!
You guys are doing so good giving free content to learn about python really appreciable 👍❤️
Sir I'm a student and i know its course help me to achieve my goals in Future .Thanks for providing this platform..
Thank you so much guys, can't even skip single minute in this video. Great Work ! all the best....
I literally completed the course at a one glance,what an informative course it was . can't be more great ful 🥺. Thank you so much Edureka 🙏.
Hey:) Thank you so much for your sweet words :) Really means a lot ! Glad to know that our content/courses is making you learn better :) Our team is striving hard to give the best content. Keep learning with us -Team Edureka :) Don't forget to like the video and share it with maximum people:) Do subscribe the channel:)
Give a medal to "EDUREKA!" for this great work
when I was worried of not having a computer science background...,
You guys became my inspiration...
Came back here after three months for leaving this comment 😂
Thank you so so much ❤️
Oh my god, i never thought we could get such courses on youtube thank you so much edureka for putting this on youtube this has been great ....and the fact that its free and so many could access it is amazing tysm again ❤️
Thanks Edureka!!!! Your videos are making the non-IT students like us to understand the programming.. Keep up the good work..
You guys could have added sub titles as well, but this could be great source, thanks for the efforts.
I have not watched the video yet but thank you so much for sharing it.
This is my favourite channel. I especially like it when you explain everything so nicely. I wish you a lot of success with the channel and happy life.
Happy to hear that!We are glad to have learners like you :)Thanks for watching! Glad you liked it ! Do subscribe our channel and hit that bell icon to never miss an video from our channel .
Myself Tarun i am in class 10th
Starting i tought i would not understand but u people made me to understand great
Thank you soo much ..
You guys are doing great. You are the first to make me understand python in such an easy way.The graphics on the video are so attractive.If you are watching this video with all your concentration,then this video will make you master in python.In today's time,nobody gives knowledge like these guys.you guys are just amazing.Really have done a very hard work to make this video.
Salute to these guys for their hard work.
2:35:41 please explain slicing method ,when we use an array a= arr.array('i',[1,2,3,4,5])
# slicing
a[::2]
output -- array('i',[1,3,5])
The start and end point in the slicing operation is not mentioned, meaning it will slice the whole array. But the step is 2. Therefore you are getting the output. Hope that solves your query.
These edureka guys should be protected at any cost ❤️
Can you please provide python notes pdf of this whole course ...????
This is the best channel i have seen up to now!
Glad you liked it . Please leave your mail address so that wecan share the ppt
Such an awesome explanation in a very classy manner.....appreciable....&.that too free of cost 👏👏
Thank you so much mam and sir I will happy who to learn the python afraid but is easy I learn more once again thank you edureka chennal
I am from Bangladesh . 🇧🇩. This is very useful. Thank u for the free service . It is very helpful for the poor student as me.
Hope you learnt something 🤗🤗
I can't tell How much i am happy for finding this video
Amazing information and video 🙆♂️
Love this video💗
Thank you sooo much
Keep doing it🔥🔥
Knowledge is free" It is very much true in edureka
Everything is perfect. Thankyou Edureka. The only 😥 is I can't understand the loop concept. The remaining are superb😀
You're most welcome 😊 Keep learning with us!!
This is the best course I have learned till now!!!!!!!!
Greatly,thanks
Hey Kishan, thank you for the wonderful feedback! We're glad we could be of help. It's very encouraging to know that you found our content useful.
This channel is super I love this channel and teaching is exsalent😊
here is all the topics covered and their time stamp
1:55 What is Python?
3:40 Why is Python popular?
4:55 Features of Python
6:50 Where is Python used in the industry?
7:50 Learning Path
9:15 Career Opportunities
10:30 How Netflix use Python?
11:55 How does it use Python?
18:15 Python Developer Salary
18:50 Who is Python Developer?
19:20 Python Developer Job Trends
21:55 How to become a Python Developer?
23:05 Who is a Python developer?
33:50 Job Roles
41:40 Emerging Job Roles
44:30 Road Map
47:05 Python Installation
54:30 How to run a Python program?
58:35 Best IDE for Python
59:35 What is an IDE?
59:50 Features of an IDE
1:00:50 Best IDEs of Python
1:07:40 PyCharm Tutorial
1:07:42 Introduction to PyCharm
1:09:07 Features of PyCharm
1:28:02 Comments in Python
1:28:52 What are Comments?
1:29:47 When to use Python?
1:30:22 How to write comments in Python?
1:32:22 Types of Comments
1:35:57 Docstring Comments
1:39:02 Variables & Data Types
1:39:17 Variable definition & Declaration
1:41:22 Data Types
1:41:42 Numbers
1:43:12 String
1:46:02 List
1:48:12 Dictionary
1:50:12 Tuple
1:51:27 Set
1:53:52 Type Conversion
1:54:42 Python Collections
1:57:12 Specialised Collections Data Types
2:14:57 Arrays
2:15:32 What is an Array?
2:17:27 How to create Arrays in Python?
2:20:52 Accessing Array Elements
2:22:42 Basic Array Operations
2:24:27 Adding elements to an Array
2:27:52 Removing Elements of an Array
2:33:42 Slicing an Array
2:36:12 Looping through an Array
2:39:57 Hash Table and HashMap
2:41:37 Creating Dictionaries
2:44:02 Nested dictionaries
2:46:52 Performing Operations on Hash Table
2:55:32 Operators in Python
3:13:17 Loops in Python
3:13:52 Why to use Python?
3:16:12 What are Loops?
3:18:07 Loops in Python
3:18:17 While Loop
3:26:22 For Loop
3:32:22 Nested Loop
3:48:12 Patterns in Python
4:24:27 File Handling
4:25:07 Why need File Handling
4:27:02 Types of Files
4:28:37 What is File Handling?
4:29:22 Python File Handling System
4:32:52 File Operations for Reading
4:41:27 Python File Write Method
4:47:37 Decorator
4:48:22 Functions in Python
4:54:07 Decorators in Python
5:08:32 Lambda
5:10:17 How to write Anonymous functions?
5:29:02 Map-Reduce Functions
5:29:47 Introduction to map(), filter(), reduce()
5:46:22 What are Generators?
5:47:32 Normal functions vs Generators
5:48:02 Writing Generators in Python
5:52:57 Generators with Loops
5:53:57 Generator Expressions
5:56:22 Use-Cases
6:02:27 OOPS Concepts
6:03:07 Classes & Objects
6:33:47 Inheritance in Python
6:36:52 Types of Inheritance
6:42:47 Python Super Function
6:44:52 Exception Handling
6:54:42 Try & Except block
7:05:52 Python Module
7:07:47 How to create a Module?
7:17:33 Python Modules Search Path
7:24:23 Date & Time
7:24:58 time module
7:38:23 Numpy
7:38:58 What is Numpy?
7:41:43 Numpy vs List
7:49:03 Numpy Operations
8:05:23 Numpy Special Functions
8:09:58 SciPy
8:10:48 What is Python SciPy?
8:12:23 Basic Functions
8:15:48 Special Functions
8:18:53 Integration Functions
8:24:43 Linear Algebra
8:26:48 Interpolation Functions
8:28:18 Pandas
8:29:18 Data life-cycle
8:31:23 What is Pandas?
8:35:33 Pandas Operations
8:54:13 Example
8:59:38 Python for Statistics
9:02:43 Pydoop
9:04:03 Matplotlib
9:04:28 Data Visualization
9:09:13 Matplotlib
9:10:13 Types of Plots
9:30:13 Multiple Plots
9:32:18 Seaborn
9:32:53 Introduction to Seaborn
9:33:33 Seaborn vs Matplotlib
9:34:28 How to install Seaborn?
9:34:48 Installing Dependencies
9:35:33 Python Seaborn Functions
9:44:23 Multi-Plot Grids
9:47:08 Plot Aesthetics
9:50:58 FIFA Use-case
10:15:33 OpenCV Tutorial
10:16:03 What is Computer Vision?
10:16:48 How computer reads an Image?
10:18:53 What is OpenCV?
10:19:58 Basic operations with OpenCV
10:27:33 Face Detection
10:27:38 Face Detection using OpenCV
10:31:53 Capturing Video
10:43:28 Use-case - Motion Detector
10:54:58 Web Development Framework
10:55:23 What are Frameworks in Python?
11:08:34 Python Web Development
11:09:04 Python Web Development Libraries
11:09:24 Python & Django
11:28:19 Web Scraping
11:33:49 Packages used for web Scraping
they already did it for us.
Mother India thank you for this course i love you greetings from Macedonia
Thanks for your course of 12hours straight no ads , you guys are doing great thing to be go in good lane instead of wasting time on other applications 😊
Good To know our videos are helping you learn better :) Stay connected with us and keep learning ! Do subscribe the channel for more updates : )
This has certainly a lot of time, resources and energy to come up with.
Thanks a lot Edureka
You're most welcome!
Thanks for this course
Iam starting my placement preparation with this course ..I wish I could get placed soon🙂..wish me luck
Hey :) ALL THE VERY BEST! Give your best in your interview :)
Hope you get all the success in life :)
Thank you for being a part of our team :) Stay connected :) Subscribe to our channel :)
you dont know how much we appreciate you making this lovely tutorial, good job!!!!!!!!!!!!!!!!!
From your teaching I am able to small small programs, thanks sure we will take course.
Great job! you know you teaches many students free of cost it's great work😊😊
You are definitely welcomed and very much valued !! Thank you kindly for exchanging the knowledge. 😊⭐️⭐️⭐️❤️
Edureka is a terrific way of learning stuffs online. Your courses are articulate in both seeing and listening. You guys have posted almost every course of all the hot topics of 2020 and further decade. Thanks! a lot for all the efforts . I have a request for you guys, can you please make a complete tutorial on computer graphics from scratch? like all the physics and math used in it along with all the camera physics and all the acoustics and sound technical; a complete Computer Graphics course. Can you guys please make it?
Thank you Pratik for the kind words.
We will surely forward your request to our team.
This is the real channel I was searching for.
woww, best video for whole python course😍😍😍
Thank You edureka! Team....You all covered all the Python course in just 12 hours....Hope you'll make this type of videos on other languages as well as on Data science and On AI...Lots of love edureka team ❤️❤️
4:36:30 for me it gives unicode error as the string we use to specify the path is normal so of anybody have same issue
Just put small r before the double quotes it will be fixed
No adds 😍 they are awesome...
def a(x):
return(lambda y:x+y)
t =a(4);
print(t(8))
u = a(7);
print(u(5));
in the above syntaxs the lambda expression how to recognising the u(5),
i'm understading thee u = a(5), then how recognising the u(5)
could you plase help us.
Please refer to the following blog: bit.ly/2YHhmaM
Thanks a lot.. I mean it.. this informative a course, and that too for free of cost...... keep doing 👍👏
Thanks for the appreciation! We are really glad you feel this way about our channel. Do subscribe and stay tuned for future updates. Cheers!
I'm a QA Engineer and interested to learn python for automation . Does this video cover all the relevant topics or do you have any other link to learn .
Happy to see edureka video on Python. Thanks for offering it as free..
east or west edureka is best!!!!!! perfect course to learn during lockdown
Thank you for this course..is it possible to share this Slide
We are happy that Edureka is helping you learn better ! We are happy to have learners like you :) Please share your mail id to share the data sheets :) Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
thank you for making it ad free
The video was so useful and I thank the teacher very much . FREE EDUCATION is the best form of eradication of untouchability and illiteracy . I think so u guys are doing great work for the society ..
I request you to please post another video like this , completly based on
C++.
Super guys . 👍🏼👍🏼👍🏼👌👌💥🌟⭐⚡
Waiting for your reply.
Hi ! Good to know that our videos are helping you to learn better :) Please share your mail id to share the data sheets :)We’ll update you soon . Do subscribe the channel for more updates : )
Thank you for your teaching i learned more this channel ❤❤❤❤
You are most welcome Awil.
You guys are wonderful. Thank you from Nigeria
That i was expected from u good contents.
Make tutorials on machine learning also
Thanks alot
We have a whole playlist on Machine Learning: ruclips.net/video/GwIo3gDZCVQ/видео.html
very good attempt for increasing our knowledge................. nice animation
Appreciate the efforts and overall its a really interactive session. However, Membership Operators could have been explained a bit better.
you guys have provided an amazing video tutorial and am very thankful for that. but i just wanna say that the decorator part isn't too much effective for beginners although you have made this tutorial for beginners.
i watched other video in youtube . but this is the best tutorial than other.thank you a lot.
It's really amazing and learn on the real way!!!! I love it! ❤❤❤❤❤❤❤❤❤❤❤❤❤❤
Great teaching with examples......thank you
Wow. That's cool. Unfortunately, I do not have such a course in my native language. Thank you for your endeavors. That's very useful for me 🌹🌹🌹
please provide time stamping in video, it will be very helpfull
Sure will update it soon:)
Thank you so much edureka... I really appreciate it🙏✨💯...I started learning Python From edureka, it's really GREAT 👏
Best video ever on python tutorial.
Thanks edureka team. Keep it up guys.👍👍👍
I appreciate providing such detailed explanation for all topics.
Also, I'm getting an error while executing the single class decorator example. Could you please confirm on that?
Really really mind-blowing 💪💪💪 thankyou a lot ❤️
You're welcome 😊 Stay connected with our channel and team :) . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
I am grateful to edureka for sharing such a important and precious knowledge to the world.Great work edureka.
Very good explanation.If possible make a complete C tutorial
You are the best teacher ever
I love it!!! The why you teach.. 👍👏👏👏😁☺ clear voice and clear explanation.. 👍😎
Thanks for the compliment!
You can also check out our online training here:
Python Certification Training for Data Science - bit.ly/2KJaAt9
Use code "RUclips20" to get Flat 20% off on this training.
@@edurekaIN Is to good to join course right now Or... After post graduation??? What is right to do...
Hi Shrishti, obtaining a Python certification right now is worth considering if you're trying to take your career to the next level in terms of better job positions and a higher salary after your post graduation. For further assistance from our course advisors, please provide us your email ID and contact number (it will not be published).
I want to complete this in one week
One of the best tech learning channel on RUclips..hats off to the team who prepare such useful content
Really helpful! Thank you for preparing and sharing this!
Best course on RUclips.
Thanks Edureka for such a course. ❤️
Will share this channel to my friends.
Thank you for you time in giving a feedback :) We are glad that you are learning from our videos! Stay connected with our channel :)