Tensorflow: Build a data pipeline Part II Image data pipeline

020 decorator in python

012 Magic or Dunder Methods 07: __getattr__, __setattr__, __delattr__

011 Magic or Dunder Methods 06: __iadd__ and few other magic methods

010 Magic or Dunder Methods 05: __floor__, __ceil__, __trunc__(floor(), ceil() & trunc() of math)

009 Magic or Dunder Methods 04: __abs__, __round__, __invert__ (abs(), round() and ~ operator)

008 Magic or Dunder Methods 03: __pos__, __neg__ (Unary + and - operators)

007 Magic or Dunder Methods 02: __new__ , __init__ , __del__

006 Magic or Dunder Methods 01: Introduction to Magic or Dunder Methods

005 Metaclass 05: Singleton Class using customized MetaClass

004 Metaclass 04: Test the Customized MetaClass

003 Metaclass 03: Customized MetaClass using new

002 Metaclass 02: Customized MetaClass using metaclass keyword

001 Metaclass 01: Introduction to metaclass and understanding type metaclass

Introduction to google colab and interfacing with google drive

000 Install Intellij, Add Python Plugins, run first python script

Tensorflow: 13 Linear Regression using Tensorflow

Tensorflow: 12 Variables and Placeholders

Python 41: Json in Python

Python 040: File Handling

Tensorflow: 11 Changing tensorflow from 1.15 to 2.0

Python 039: Fancier Output Formatting (formatted string literals, str.format() )

Tensorflow: 10 tf.InteractiveSession()

Tensorflow : 09 Tensor Arrays and Shapes

Tensorflow: 08 Data Types and Casting Type Casting