Facebook costliest outage caused $160 million loss: NetBlocks

Facebook insists that a configuration change, most likely done by an engineer, broke the connection on the backbone routers which connect the data centers to the internet

 

 

It wasn’t the small matter of a social networking website going offline for a short period. When Facebook went offline globally for almost 6 hours in the early hours of October 5, it resulted in a mad scramble to find a fix and the cause of the outage. The enormity of the problem was compounded by the fact that the most popular messaging app in the world, WhatsApp, along with Instagram …

Executive Assistant Job Description – Everything you want to know

Executive Assistant Job Description – Everything you want to know

Every business or organization owner needs an executive assistant who supports his organization’s staff and performs various duties, which reduces workload.

It includes various activities that I will discuss in other sections. The executive assistant usually works in the office environment, and their work depends on the particular organization.

 

Who is an Executive Assistant?

Executive Assistants are different from Personal Assistants. and they are the professional ones who have experience in project management and administrative tasks. They work with the senior staff and schedule and manage their various tasks.

How Big is Amazon? Amazon Case Study

Do you know how big is Amazon?

Amazon is the World’s largest online retailer and has more than one trillion valuations.

Amazon is founded by Jeff Bezos who is now the richest person in the world. 

Its Amazon who had made him World’s Richest Person. 

So let’s start Amazon case study of the World’s largest online retail company. 

 

Amazon Case Study- Company Overview

Amazon is a Global E-Commerce Giant. It is an Internet-based company that sells electronic goods, apparel, movie books and every good that can be sold online on its Platform Amazon.com. Amazon was founded by Jeff Bezos …

Data Science

Data Science is a process to extract insight from the data using Feature Engineering, Feature Selection, Machine Learning etc. to solve the real-world business problem.

Data science has an intersection with artificial intelligence but is not a subset of artificial intelligence.

Data Science is the Art and Science of drawing actionable insights from the data.

 

Applications:
Retail, Bank, E-Commerce, Healthcare, and Telecom, etc.

Python Library for Data Science

To solve the business problem using Data Science for that data gathering, cleaning and visualization must be done. For that bellow python library, you should learn first.

 

NumPy

Python NumPy Tutorial – Mastery With NumPy Array Library

In the Python NumPy tutorial will discuss each and every topic of NumPy array python library from scratch. At the end of this tutorial, you will achieve mastery in the NumPy library.

 

What is NumPy?

NumPy is a scientific computing package (library) for python programming language.

Numpy is a powerful Python programming language library to solve numerical problems.

What is the meaning of NumPy word?

Num stands for numerical and Py stands for Python programming language.

Python NumPy library is especially used for numeric and mathematical calculation like linear algebra, Fourier transform, and random number capabilities using Numpy array.

NumPy supports large data in the …

Python NumPy Array – Create NumPy Ndarray (Multidimensional Array)

What is the NumPy array?

Python NumPy array is a collection of a homogeneous data type. It is most similar to the python list. You can insert different types of data in it. Like integer, floating, list, tuple, string, etc.

To create a multidimensional array and perform a mathematical operation python NumPy ndarray is the best choice. The ndarray stands for N-Dimensional arrays.

NumPy array

              Fig 1.1 Representation of NumPy ndarray (multidimensional array )

Let’s jump on practical session NumPy


Create NumPy ndarray (1D array)

To create NumPy 1D …

NumPy Array Size – Np.Size() | Python NumPy Tutorial

To find python NumPy array size use size() function. The NumPy size() function has two arguments. First is an array, required an argument need to give array or array name. Second is an axis, default an argument. The axis contains none value, according to the requirement you can change it.

The np.size() function count items from a given array and give output in the form of a number as size. 

Syntax: np.size(array, axis=None)

NumPy Array Size

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import numpy as np # import numpy package

 

arr_2D …

Python NumPy Shape – Python NumPy

Python NumPy array shape Function

The NumPy shape function helps to find the number of rows and columns of python NumPy arrayThe numpy.shape() function gives output in form of tuple (rows_no, columns_no). 

Syntax: np.shape(array)

NumPy shape

The shape of a Numpy 1D array

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import numpy as np # import numpy package

arr_1D = np.array([1, 2, 3]) # create 1D array

print("One dimentional NumPy array : \n", arr_1D) # print arr_1D

 

shape_of_arr_1D = np.shape(arr_1D) # find shape of NumPy Array arr_1D

print("Shape …

NumPy Mathematical Functions

Numpy Mathematica Functions

The NumPy is the best python library for mathematics. In NumPy Mathematical Functions blog going to learn most useful mathematical functions.

NumPy Arithmetic Operations

Using Python NumPy functions or operators solve arithmetic operations.

To use NumPy need to import it.

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import numpy as np # import numpy package and np is short name given to it

Note: In this blog, all practical perform on Jupyter Notebook. If you are working on another IDE rather than it. So please assign the return value to …

NumPy Trigonometric Functions – Np.Sin(), Np.Cos(), Np.Tan()

NumPy Trigonometric Functions

NumPy supports trigonometric functions like sin, cos, and tan, etc. The NumPy trigonometric functions help to solve mathematical trigonometric calculation in an efficient manner. 

np.sin() Trigonometric Function

The np.sin() NumPy function help to find sine value of the angle in degree and radian.

Syntax: sin(x, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, subok=True[, signature, extobj])

Sine value of angle in degrees

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import numpy as np # import numpy package

sin_90 = np.sin(90) # sine value of degree 90 in degree

print("Sine value of angle 90 in degree …

Numpy Random | Random Module

Python NumPy random module

The NumPy random is a module help to generate random numbers.

Import NumPy random module

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import numpy as np # import numpy package

import random # import random module

np.random.random()

This function generates float value between 0.0 to 1.0 and returns ndarray if you will give shape.

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rd_num = np.random.random(1)

rd_2D_array =  np.random.random((3,3))

print(rd_num)

print(rd_2D_array)

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NumPy String Operations

If you want to work on string data then NumPy string operations methods help to do work easy. The python NumPy support a bunch of string operations, string comparison, and string information methods.

So lets start with

Python NumPy String Operations Methods

To start the use of string methods need to import NumPy package and some raw string data.

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import numpy as np # import numpy package

ch_name = "Indian AI Production" # create string

str1 = "Learning Python NumPy" # create string

np.char.add()