LEARNING PYTHON
For expensive computations for deep learning libraries like TensorFlow, following IDEs can be used
1.Index in Python
2.Taking Input in Python
3.Calculating age in Python
1.Numbers and Numeric Representation
2.Power and logarithmic functions
3.Trigonometric and angular conversion functions
1.List index
2.List append
3.List count
4.List sort
5.List extend
1.List insert
2.List remove
3.List pop
4.List reverse
5.List copy
6.List clear
1.Creating non-empty Tuple
2.Concatenating two tuples
3.Creating nested tuples
4.Create a tuple with repetition
5.Test Slicing
6.Printing the length of a tuple
7.Converting a list and a string into a tuple
8.Creating tuples in a loop
1.Creating Python Sets
2.Modifying a set in Python
3.Removing elements from a set
4.Python Set Operations
1.Set Union
2.Set Intersection
3.Set Difference
4.Set Symmetric Difference
1.Creating Python Dictionary
2.Accessing Elements from Dictionary
3.Changing and Adding Dictionary elements
4.Removing elements from a dictionary
5.Python Dictionary Comprehension
6.Other Dictionary Operations
1.Dictionary Membership Test
2.Iterating through a Dictionary
7.Dictionary Built-in Functions
1.if...else
2.if...elif..else
3.for
4.while
5.break
6.continue
1.Python Function
2.Function argument
3.Python Recursion
4.Anonymous/lambda function
5.Global,local and non-local
6.Python global keyword
1.Creating Class and Object in Python
2.Creating Methods in Python
3.Use of Inheritance in Python
4.Data Encapsulation in Python
5.Using Polymorphism in Python
6.Defining a class in python
7.Creating an object in python
8.Constructors in python
1.INHERITANCE
2.MULTIPLE INHERITANCE
1.Overloading the '+' operator
2.Overloading the comparison operator
1.Simple Generator Program
2.Generator Using loops
3.Python Generator Expression
4.Pipeline Generator
1.Nonlocal variable in nested function
2.Defining a closure function
1.Python Decorators
2.Python Property Decorators
3.Using Property class
Program to print Fibonacci Sequence