Firstly we explain the variable and the declaration rule for the variable and further separating the valid and invalid variables.
- Whenever a user is given a question, variables are data values that can vary. for example age, CSL, etc.
- It may alter and during the execution of the program.
- It's a storage space for memories.
- It has a name that corresponds to the location.
- Data is stored in the memory location.
The rule for variable declaration:
- The names of your variables should be based on the phrases used in the subject area, and they should reflect the variable's function.
- By removing spaces between the words, you can make variable names. Each word in the name should be capitalized, including prepositions and pronouns that are one letter long.
- An underscore should never be used to start a variable name.
- Single-character variable names should be avoided. For loop counters, only short variable names are permitted.
- After the state that equals the "true" value, name variables that describe binary states ("true" or "false").
The valid variable is:
CSL, Age,CLS,SEE,Stop5for,Give, $shopping, and United.
The invalid variable is:
Mark-sheet, Tel $, Simple Interest, and 545Newton.
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Answer:
import numpy as np
import matplotlib.pyplot as plt
def calculate_pi(x,y):
points_in_circle=0
for i in range(len(x)):
if np.sqrt(x[i]**2+y[i]**2)<=1:
points_in_circle+=1
pi_value=4*points_in_circle/len(x)
return pi_value
length=np.power(10,6)
x=np.random.rand(length)
y=np.random.rand(length)
pi=np.zeros(7)
sample_size=np.zeros(7)
for i in range(len(pi)):
xs=x[:np.power(10,i)]
ys=y[:np.power(10,i)]
sample_size[i]=len(xs)
pi_value=calculate_pi(xs,ys)
pi[i]=pi_value
print("The value of pi at different sample size is")
print(pi)
plt.plot(sample_size,np.abs(pi-np.pi))
plt.xscale('log')
plt.yscale('log')
plt.xlabel('sample size')
plt.ylabel('absolute error')
plt.title('Error Vs Sample Size')
plt.show()
Explanation:
The python program gets the sample size of circles and the areas and returns a plot of one against the other as a line plot. The numpy package is used to mathematically create the circle samples as a series of random numbers while matplotlib's pyplot is used to plot for the visual statistics of the features of the samples.
Answer
To find mean of data add all the numbers in the set of data and divide the sum by the number of addends.
To find range, identify the difference between the highest value and lowest value in the set of data.
Explanation
Mean, mode, median and range are the primary measurements used to get the measures of central tendencies. To get the mean and range; first arrange the data in an ascending order, then identify the highest value and the lowest value in the set. The difference between these two data values gives the range of the set of values. For the mean, add all the set of values and then divide their sum with the number of values in the set of data.
A programming language that supports relational databases is SQL (Structured Query Language)
Structured Query Language (SQL), is the principal method for communicating with Relational Databases.
A relational database is a group of data elements that are linked together by predefined connections. These elements are laid up in the form of a series of tables containing columns and rows.
- Tables are utilized for storing data about the items that will be displayed in the database.
- A column in a database contains a specific type of data, whereas a field records the actual value of an attribute.
- The table's rows indicate a collection of linked values for a single item or entity.
Each entry in a database can be assigned a unique identity known as a primary key, and rows from other tables can be linked together via foreign keys. This data may be accessible in a variety of ways without having to reorganize the database tables itself.
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All of the aforementioned are true about in-database processing technology except: D. it is the same as in-memory storage technology.
<h3>What is an
in-database processing technology?</h3>
An in-database processing technology can be defined as a type of database technology that is designed and developed to allow the processing of data to be performed within the database, especially by building an analytic logic into the database itself.
This ultimately implies that, an in-database processing technology is completely different from in-memory storage technology because this used for the storage of data.
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