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Mention the differences between Django, Pyramid and Flask.
Flask is a “microframework” primarily build for a small application with simpler requirements. In flask, you have to use external libraries. Flask is ready to use. Pyramid is built for larger applications. It provides flexibility and lets the developer use the right tools for their project. The deveRead more
Flask is a “microframework” primarily build for a small application with simpler requirements. In flask, you have to use external libraries. Flask is ready to use. Pyramid is built for larger applications. It provides flexibility and lets the developer use the right tools for their project. The developer can choose the database, URL structure, templating style and more. Pyramid is heavy configurable. Django can also be used for larger applications just like Pyramid. It includes an ORM Pyramid is built for larger applications. It provides flexibility and lets the developer use the right tools for their project. The developer can choose the database, URL structure, templating style and more. Pyramid is heavy configurable. Django can also be used for larger applications just like Pyramid. It includes an ORM.
See lessExplain how you can set up the Database in Django.
You can use the command edit mysite/setting.py, it is a normal python module with module level representing Django settings. Django uses SQLite by default; it is easy for Django users as such it won’t require any other type of installation. In the case your database choice is different that you haveRead more
You can use the command edit mysite/setting.py, it is a normal python module with module level representing Django settings.
Django uses SQLite by default; it is easy for Django users as such it won’t require any other type of installation. In the case your database choice is different that you have to the following keys in the DATABASE ‘default’ item to match your database connection settings.
Engines: you can change the database by using ‘django.db.backends.sqlite3’ , ‘django.db.backeneds.mysql’, ‘django.db.backends.postgresql_psycopg2’, ‘django.db.backends.oracle’ and so on. Name: The name of your database. In the case if you are using SQLite as your database, in that case, database will be a file on your computer, Name should be a full absolute path, including the file name of that file.
Django uses SQLite as a default database, it stores data as a single file in the filesystem. If you do have a database server—PostgreSQL, MySQL, Oracle, MSSQL—and want to use it rather than SQLite, then use your database’s administration tools to create a new database for your Django project. Either way, with your (empty) database in place, all that remains is to tell Django how to use it. This is where your project’s settings.py file comes in.
We will add the following lines of code to the setting.py file:
DATABASES = {
See less‘default’: {
‘ENGINE’ : ‘django.db.backends.sqlite3’,
‘NAME’ : os.path.join(BASE_DIR, ‘db.sqlite3’),
}
}
Write a Python program to find yesterday’s, today’s and tomorrow’s date.
from datetime import datetime, timedelta def get_dates(): # Get today's date today = datetime.now().date() # Calculate yesterday's and tomorrow's date yesterday = today - timedelta(days=1) tomorrow = today + timedelta(days=1) return yesterday, today, tomorrow # Get the dates yesterday_date, today_daRead more
from datetime import datetime, timedelta
def get_dates():
# Get today’s date
today = datetime.now().date()
# Calculate yesterday’s and tomorrow’s date
yesterday = today – timedelta(days=1)
tomorrow = today + timedelta(days=1)
return yesterday, today, tomorrow
# Get the dates
yesterday_date, today_date, tomorrow_date = get_dates()
# Display the dates
See lessprint(“Yesterday’s date:”, yesterday_date)
print(“Today’s date:”, today_date)
print(“Tomorrow’s date:”, tomorrow_date)
This program uses the datetime module to work with dates. It defines a function get_dates() to calculate yesterday’s, today’s, and tomorrow’s dates using timedelta objects. Then, it calls this function and prints the dates accordingly.
Explain how you can set up the Database in Django.
You can use the command edit mysite/setting.py, it is a normal python module with module level representing Django settings. Django uses SQLite by default; it is easy for Django users as such it won’t require any other type of installation. In the case your database choice is different that you haveRead more
You can use the command edit mysite/setting.py, it is a normal python module with module level representing Django settings.
Django uses SQLite by default; it is easy for Django users as such it won’t require any other type of installation. In the case your database choice is different that you have to the following keys in the DATABASE ‘default’ item to match your database connection settings.
Engines: you can change the database by using ‘django.db.backends.sqlite3’ , ‘django.db.backeneds.mysql’, ‘django.db.backends.postgresql_psycopg2’, ‘django.db.backends.oracle’ and so on. Name: The name of your database. In the case if you are using SQLite as your database, in that case, database will be a file on your computer, Name should be a full absolute path, including the file name of that file.
Django uses SQLite as a default database, it stores data as a single file in the filesystem. If you do have a database server—PostgreSQL, MySQL, Oracle, MSSQL—and want to use it rather than SQLite, then use your database’s administration tools to create a new database for your Django project. Either way, with your (empty) database in place, all that remains is to tell Django how to use it. This is where your project’s settings.py file comes in.
We will add the following lines of code to the setting.py file:
DATABASES = {
See less‘default’: {
‘ENGINE’ : ‘django.db.backends.sqlite3’,
‘NAME’ : os.path.join(BASE_DIR, ‘db.sqlite3’),
}
}
Write a one-liner in python that will count the number of capital letters in a file. Your code should work even if the file is too big to fit in memory.
Let us first write a multiple line solution and then convert it to one-liner code. with open(SOME_LARGE_FILE) as fh: count = 0 text = fh.read() for character in text: if character.isupper(): count += 1 We will now try to transform this into a single line. count sum(1 for line in fh for character inRead more
Let us first write a multiple line solution and then convert it to one-liner code.
with open(SOME_LARGE_FILE) as fh:
count = 0
text = fh.read()
for character in text:
if character.isupper():
count += 1
We will now try to transform this into a single line.
See lesscount sum(1 for line in fh for character in line if character.isupper())
Write a Python Program for calculating simple interest.
def calculate_simple_interest(principal, rate, time): # Simple interest formula: SI = (P * R * T) / 100 simple_interest = (principal * rate * time) / 100 return simple_interest # Input from the user principal = float(input("Enter the principal amount: ")) rate = float(input("Enter the annual interesRead more
def calculate_simple_interest(principal, rate, time):
# Simple interest formula: SI = (P * R * T) / 100
simple_interest = (principal * rate * time) / 100
return simple_interest
# Input from the user
principal = float(input(“Enter the principal amount: “))
rate = float(input(“Enter the annual interest rate (in percentage): “))
time = float(input(“Enter the time period (in years): “))
# Calculate simple interest
interest = calculate_simple_interest(principal, rate, time)
# Display the result
See lessprint(f”The simple interest for the principal amount ${principal}, annual interest rate of {rate}%, and time period of {time} years is ${interest}.”)
Is Django better than Flask?
Django and Flask map the URL’s or addresses typed in the web browsers to functions in Python. Flask is much simpler compared to Django but, Flask does not do a lot for you meaning you will need to specify the details, whereas Django does a lot for you wherein you would not need to do much work. DjanRead more
Django and Flask map the URL’s or addresses typed in the web browsers to functions in Python. Flask is much simpler compared to Django but, Flask does not do a lot for you meaning you will need to specify the details, whereas Django does a lot for you wherein you would not need to do much work. Django consists of prewritten code, which the user will need to analyze whereas Flask gives the users to create their own code, therefore, making it simpler to understand the code. Technically both are equally good and both contain their own pros and cons.
See lessWrite a program to produce Fibonacci series in Python.
# Enter number of terms needednbsp;#0,1,1,2,3,5.... a=int(input("Enter the terms")) f=0;#first element of series s=1#second element of series if a=0: print("The requested series is",f) else: print(f,s,end=" ") for x in range(2,a): print(next,end=" ") f=s s=next
# Enter number of terms needednbsp;#0,1,1,2,3,5….
See lessa=int(input(“Enter the terms”))
f=0;#first element of series
s=1#second element of series
if a=0:
print(“The requested series is”,f)
else:
print(f,s,end=” “)
for x in range(2,a):
print(next,end=” “)
f=s
s=next
Write a program to check if the given number is Armstrong or not in python.
def is_armstrong(num): # Calculate the number of digits in the number num_digits = len(str(num)) # Initialize sum to store the result sum = 0 # Temporary variable to store the original number temp = num # Calculate Armstrong sum while temp > 0: digit = temp % 10 sum += digit ** num_digits temp //Read more
def is_armstrong(num):
# Calculate the number of digits in the number
num_digits = len(str(num))
# Initialize sum to store the result
sum = 0
# Temporary variable to store the original number
temp = num
# Calculate Armstrong sum
while temp > 0:
digit = temp % 10
sum += digit ** num_digits
temp //= 10
# Check if the number is Armstrong or not
if num == sum:
return True
else:
return False
# Input from the user
number = int(input(“Enter a number: “))
# Check if the number is Armstrong or not
See lessif is_armstrong(number):
print(f”{number} is an Armstrong number.”)
else:
print(f”{number} is not an Armstrong number.”)
How to get the items that are not common to both the given series A and B?
import pandas as pd import numpy as np sr1 = pd.Series([1, 2, 3, 4, 5]) sr2 = pd.Series([2, 4, 6, 8, 10]) print("Original Series:") print("sr1:") print(sr1) print("sr2:") print(sr2) print("nItems of a given series not present in another given series:") sr11 = pd.Series(np.union1d(sr1, sr2)) sr22 = pRead more
import pandas as pd
See lessimport numpy as np
sr1 = pd.Series([1, 2, 3, 4, 5])
sr2 = pd.Series([2, 4, 6, 8, 10])
print(“Original Series:”)
print(“sr1:”)
print(sr1)
print(“sr2:”)
print(sr2)
print(“nItems of a given series not present in another given series:”)
sr11 = pd.Series(np.union1d(sr1, sr2))
sr22 = pd.Series(np.intersect1d(sr1, sr2))
result = sr11[~sr11.isin(sr22)]
print(result)