020 decorator in python
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020 decorator in python
12:53
012 Magic or Dunder Methods 07: __getattr__, __setattr__, __delattr__
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012 Magic or Dunder Methods 07: __getattr__, __setattr__, __delattr__
13:43
011 Magic or Dunder Methods 06: __iadd__ and few other magic methods
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011 Magic or Dunder Methods 06: __iadd__ and few other magic methods
9:39
010 Magic or Dunder Methods 05: __floor__, __ceil__, __trunc__(floor(), ceil() & trunc() of math)
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010 Magic or Dunder Methods 05: __floor__, __ceil__, __trunc__(floor(), ceil() & trunc() of math)
5:50
009 Magic or Dunder Methods 04: __abs__, __round__, __invert__ (abs(), round() and ~ operator)
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009 Magic or Dunder Methods 04: __abs__, __round__, __invert__ (abs(), round() and ~ operator)
7:32
008 Magic or Dunder Methods 03: __pos__, __neg__ (Unary + and - operators)
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008 Magic or Dunder Methods 03: __pos__, __neg__ (Unary + and - operators)
7:25
007 Magic or Dunder Methods 02: __new__ , __init__ , __del__
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007 Magic or Dunder Methods 02: __new__ , __init__ , __del__
9:18
006 Magic or Dunder Methods 01: Introduction to Magic or Dunder Methods
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006 Magic or Dunder Methods 01: Introduction to Magic or Dunder Methods
5:58
005 Metaclass 05: Singleton Class using customized MetaClass
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005 Metaclass 05: Singleton Class using customized MetaClass
10:59
004 Metaclass 04: Test the Customized MetaClass
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004 Metaclass 04: Test the Customized MetaClass
3:04
003 Metaclass 03: Customized MetaClass using new
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003 Metaclass 03: Customized MetaClass using new
14:50
002 Metaclass 02: Customized MetaClass using metaclass keyword
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002 Metaclass 02: Customized MetaClass using metaclass keyword
4:29
001 Metaclass 01: Introduction to metaclass and understanding type metaclass
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001 Metaclass 01: Introduction to metaclass and understanding type metaclass
11:43
Introduction to google colab and interfacing with google drive
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Introduction to google colab and interfacing with google drive
10:21
000 Install Intellij, Add Python Plugins, run first python script
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000 Install Intellij, Add Python Plugins, run first python script
7:49
Tensorflow: 13 Linear Regression using Tensorflow
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Tensorflow: 13 Linear Regression using Tensorflow
18:15
Tensorflow: 12 Variables and Placeholders
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Tensorflow: 12 Variables and Placeholders
7:42
Python 41: Json in Python
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Python 41: Json in Python
4:42
Python 040: File Handling
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Python 040: File Handling
8:17
Tensorflow: 11 Changing tensorflow from 1.15 to 2.0
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Tensorflow: 11 Changing tensorflow from 1.15 to 2.0
4:38
Python 039: Fancier Output Formatting (formatted string literals, str.format() )
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Python 039: Fancier Output Formatting (formatted string literals, str.format() )
5:29
Tensorflow: 10 tf.InteractiveSession()
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Tensorflow: 10 tf.InteractiveSession()
3:52
Tensorflow : 09 Tensor Arrays and Shapes
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Tensorflow : 09 Tensor Arrays and Shapes
6:02
Tensorflow: 08 Data Types and Casting Type Casting
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Tensorflow: 08 Data Types and Casting Type Casting
6:48
Tensorflow: 07 Nodes Are Operations, Edges Are Tensor Objects
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Tensorflow: 07 Nodes Are Operations, Edges Are Tensor Objects
6:52
Python 038: Packages
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Python 038: Packages
8:10
Tensorflow: 06 Constructing and Managing Our Graph
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Tensorflow: 06 Constructing and Managing Our Graph
8:35
Tensorflow: 05 Graph, Session and Nodes in Tensorflow
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Tensorflow: 05 Graph, Session and Nodes in Tensorflow
11:56
Python 037: The dir() Function
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Python 037: The dir() Function
4:49
Python 036: Executing modules as scripts
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Python 036: Executing modules as scripts
5:53
Python 035: Modules Details
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Python 035: Modules Details
7:05
Tensorflow: 00 Install tensorflow and execute a hello world program
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Tensorflow: 00 Install tensorflow and execute a hello world program
9:53
Tensorflow: Convolutional Neural Networks in Tensorflow(without Keras)
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Tensorflow: Convolutional Neural Networks in Tensorflow(without Keras)
21:55
Python 034: The del statement
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Python 034: The del statement
3:52
Python 033: Nested List Comprehensions
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Python 033: Nested List Comprehensions
5:09
Python 032: List Comprehensions
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Python 032: List Comprehensions
6:48
Python 031: Using Lists as Queues
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Python 031: Using Lists as Queues
4:07
Python 030: Using Lists as Stacks
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Python 030: Using Lists as Stacks
4:08
Python 029: More on Lists
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Python 029: More on Lists
9:16
Python 028: Coding Style
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Python 028: Coding Style
6:36
Python 027: Function Annotations
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Python 027: Function Annotations
4:41
Python 026: Documentation Strings
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Python 026: Documentation Strings
4:06
Python 025: Lambda Expressions
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Python 025: Lambda Expressions
6:30
Python 024: Unpacking Argument Lists
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Python 024: Unpacking Argument Lists
5:19
Python 023: function with keyword arguments
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Python 023: function with keyword arguments
3:00
Python 022: *args and **kwargs
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Python 022: *args and **kwargs
6:37
Python 021: Default Argument Values - an important warning
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Python 021: Default Argument Values - an important warning
4:01
Python 020: Default Argument Values
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Python 020: Default Argument Values
4:51
Python 019: defining function
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Python 019: defining function
4:06
Python 018: break and continue Statements, and else Clauses on Loops
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Python 018: break and continue Statements, and else Clauses on Loops
8:10
Python 017: range() function
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Python 017: range() function
3:33
Python 016: for Statements
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Python 016: for Statements
3:11
Python 015: if Statements(if, elif, else)
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Python 015: if Statements(if, elif, else)
4:35
Python 014: built in functions of python interpreter:- enemurate()
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Python 014: built in functions of python interpreter:- enemurate()
3:36
Python 013: built in functions of python interpreter:- len()
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Python 013: built in functions of python interpreter:- len()
4:32
Python 012: __init__ constructor
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Python 012: __init__ constructor
6:26
009 Building a machine learning API using Django Framework-Part 9
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009 Building a machine learning API using Django Framework-Part 9
19:55
008 Building a machine learning API using Django Framework-Part 8
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008 Building a machine learning API using Django Framework-Part 8
9:20
007 Building a machine learning API using Django Framework-Part 7
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007 Building a machine learning API using Django Framework-Part 7
4:22
006 Building a machine learning API using Django Framework-Part 6
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006 Building a machine learning API using Django Framework-Part 6
10:41
005 Building a machine learning API using Django Framework-Part 5
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005 Building a machine learning API using Django Framework-Part 5
5:46
004 Building a machine learning API using Django Framework-Part 4
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004 Building a machine learning API using Django Framework-Part 4
9:59
003 Building a machine learning API using Django Framework-Part 3
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003 Building a machine learning API using Django Framework-Part 3
6:01
002 Building a machine learning API using Django Framework-Part 2
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002 Building a machine learning API using Django Framework-Part 2
3:59
001 Building a machine learning API using Django Framework-Part 1
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001 Building a machine learning API using Django Framework-Part 1
9:21
Tensorflow: Build a data pipeline Part II Image data pipeline
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Tensorflow: Build a data pipeline Part II Image data pipeline
10:29
Tensorflow: Build a data pipeline Part-I
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Tensorflow: Build a data pipeline Part-I
7:22
Tensorflow: Placeholder in tensorflow- tf.placeholder
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Tensorflow: Placeholder in tensorflow- tf.placeholder
6:28
Tensorflow: Use of PreMade Estimator tf.estimator
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Tensorflow: Use of PreMade Estimator tf.estimator
10:40
001 Persistence of Scikit-Learn Model using pickle and joblib
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001 Persistence of Scikit-Learn Model using pickle and joblib
5:32
Tensorflow: Variable Scopes
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Tensorflow: Variable Scopes
2:51
Python 011: Class Bundles Creation and Object Instantiation
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Python 011: Class Bundles Creation and Object Instantiation
7:27
Python 010: Empty Object- object()
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Python 010: Empty Object- object()
3:48
Tensorflow: 05 Graph, Session and Nodes in Tensorflow Part-2
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Tensorflow: 05 Graph, Session and Nodes in Tensorflow Part-2
3:28
Python 009: DataStructure Set
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Python 009: DataStructure Set
4:23
Tensorflow: 04 Tensor Handling and Manipulations
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Tensorflow: 04 Tensor Handling and Manipulations
4:42
Tensorflow: 03 Tensor Data Structure
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Tensorflow: 03 Tensor Data Structure
2:06
Tensorflow: 02 Vector Scalar and Matrix
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Tensorflow: 02 Vector Scalar and Matrix
2:09
Tensorflow: 01 Introduction to tensorflow
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Tensorflow: 01 Introduction to tensorflow
1:40
Python 008: Dictionary
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Python 008: Dictionary
4:13
Python 007: Tuples
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Python 007: Tuples
2:57
Python 006: String
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Python 006: String
3:37
Python 005: List
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Python 005: List
7:19
Python 004: Class and Object in Python
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Python 004: Class and Object in Python
4:11
BharatOnlineDS: keras.callbacks.Callback
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BharatOnlineDS: keras.callbacks.Callback
1:55
Python 003: Module
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Python 003: Module
4:53
BharatOnlineDS: keras.utils.Sequence
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BharatOnlineDS: keras.utils.Sequence
2:33
Python 002: Advantages of OOP
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Python 002: Advantages of OOP
2:21
Python 001: Object Oriented Programming
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Python 001: Object Oriented Programming
0:52
Python 000: About, For and Prerequisites of the tutorials
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Python 000: About, For and Prerequisites of the tutorials
0:36