Infographic Note on difference between Pytorch and Tensorflow with respect to their features and provisions

 

Infographic Note on Numpy Arrays in Python with Questions and Answers on procedure to handle random numbers in an Array or Matrix Data Structure

 

Discussed the following questions in the above post :

Q1)If a programmer does not know the last number or position , then how can a programmer show the last position element of an array in Numpy ?

Q2) Using Slicing mechanism , retrieve the first two elements of the numpy array ?

Q3) Using Slicing mechanism , retrieve the last two elements of the numpy array ?

Infographic Note on Numpy Arrays in Python with Questions and Answers on Random Numeric Data Creation and Data Retrieval upon positional indexes

 

Discussed the following questions in the above post :

Q1) Give an example of SEED function and how to use it .

Q2) What is One-Dimensional indexing ?

Q3) Print first , last position elements of a Numpy Array

Q4) Print seond , third position elements of a Numpy Array

Q5) How to identify last number of numpy array ?

Infographic Note on Numpy Arrays in Python with Questions and Answers on Array and Matrix Creation and Data Retrieval

 

Q1) Print range between 1 to 20 and show 5 integer random numbers

Q2) Print range between 1 to 100 and show 10 random integer numbers

Q3) Print range between 1 to 1000 and show 20 random integer numbers

Q4) Print a matrix with range between random number - 5 rows and 5 cols integer random numbers

Q5) Print a matrix range between random number - 10 rows and 6 cols integer random numbers in a             matrix format

An Infographic Note on Arrays in Numpy in Python with standard questions and answers on Array Creation and associated Operations

 

Some Basic Questions on Numpy Package in Python for Interviews

 

An Infographic Note on Strip() Function over a Complex String in Python with syntax , usage and examples