''' The Metro Bank provides various types of loans such as car loans, business loans and house loans to its account holders. Write a python program to implement the following requirements: Initialize the following variables with appropriate input values:account_number, account_balance, salary, loan_type, loan_amount_expected and customer_emi_expected. The account number should be of 4 digits and its first digit should be 1. The customer should have a minimum balance of Rupees 1 Lakh in the account. If the above rules are valid, determine the eligible loan amount and the EMI that the bank can provide to its customers based on their salary and the loan type they expect to avail. The bank would provide the loan, only if the loan amount and the number of EMI’s requested by the customer is less than or equal to the loan amount and the number of EMI’s decided by the bank respectively. Display appropriate error messages for all invalid data. If all the business rules are satisfied ,then display account number, eligible and requested loan amount and EMI’s. Test your code by providing different values for the input variables. Salary Loan type Eligibleloan amount No. of EMI’s required to repay > 25000 Car 500000 36 > 50000 House 6000000 60 > 75000 Business 7500000 84 ''' class CustomerApplication: __account_number="" __account_balance="" __salary="" __loantype="" __loan_amount_expected="" __customer_emi_expected="" def __init__(self,accnumber,accbalance,salary,loantype,loan_expected,emi_expected): self.__account_balance=accbalance self.__account_number=str(accnumber) self.__customer_emi_expected=emi_expected self.__loan_amount_expected=loan_expected self.__loantype=loantype self.__salary=salary def verifyAccountNumber(self): if len(self.__account_number)==4 and self.__account_number.startswith('1'): return True else: return False def check_minimum_balance(self): if self.__account_balance>=100000: return True else: return False def check_eligibility(self): if self.verifyAccountNumber(): pass else: return "invalid account number" if self.check_minimum_balance(): pass else: return "Minumum balance should be 100000" if self.verifyAccountNumber() and self.check_minimum_balance(): if self.__salary>25000: if self.__loantype=="Car" and self.__loan_amount_expected<=500000 and self.__customer_emi_expected<=36: return "Eligible for loan" if self.__salary>50000: if self.__loantype=="House" and self.__loan_amount_expected<=6000000 and self.__customer_emi_expected<=60: return "Eligible for loan" if self.__salary>75000: if self.__loantype=="Business" and self.__loan_amount_expected<=7500000 and self.__customer_emi_expected<=84: return "Eligible for loan" else: return "Minumum salary should be 25000 to avail loan" else: return "Not Eligible" def display_customer_loan_details(self): print("Account NUmber: ",self.__account_number) print("Account balance: ",self.__account_balance) print("Salary: ",self.__salary) print("Loan type: ",self.__loantype) print("EMI Expected: ",self.__customer_emi_expected) print("Loan Amount :",self.__loan_amount_expected) print(self.check_eligibility()) c1=CustomerApplication(1000,140000,45000,"Car",350000,24) c1.check_eligibility() c1.display_customer_loan_details()
Write, Run & Share Python code online using OneCompiler's Python online compiler for free. It's one of the robust, feature-rich online compilers for python language, supporting both the versions which are Python 3 and Python 2.7. Getting started with the OneCompiler's Python editor is easy and fast. The editor shows sample boilerplate code when you choose language as Python or Python2 and start coding.
OneCompiler's python online editor supports stdin and users can give inputs to programs using the STDIN textbox under the I/O tab. Following is a sample python program which takes name as input and print your name with hello.
import sys
name = sys.stdin.readline()
print("Hello "+ name)
Python is a very popular general-purpose programming language which was created by Guido van Rossum, and released in 1991. It is very popular for web development and you can build almost anything like mobile apps, web apps, tools, data analytics, machine learning etc. It is designed to be simple and easy like english language. It's is highly productive and efficient making it a very popular language.
When ever you want to perform a set of operations based on a condition IF-ELSE is used.
if conditional-expression
#code
elif conditional-expression
#code
else:
#code
Indentation is very important in Python, make sure the indentation is followed correctly
For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.
mylist=("Iphone","Pixel","Samsung")
for i in mylist:
print(i)
While is also used to iterate a set of statements based on a condition. Usually while is preferred when number of iterations are not known in advance.
while condition
#code
There are four types of collections in Python.
List is a collection which is ordered and can be changed. Lists are specified in square brackets.
mylist=["iPhone","Pixel","Samsung"]
print(mylist)
Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.
myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
Below throws an error if you assign another value to tuple again.
myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
myTuple[1]="onePlus"
print(myTuple)
Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.
myset = {"iPhone","Pixel","Samsung"}
print(myset)
Dictionary is a collection of key value pairs which is unordered, can be changed, and indexed. They are written in curly brackets with key - value pairs.
mydict = {
"brand" :"iPhone",
"model": "iPhone 11"
}
print(mydict)
Following are the libraries supported by OneCompiler's Python compiler
Name | Description |
---|---|
NumPy | NumPy python library helps users to work on arrays with ease |
SciPy | SciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation |
SKLearn/Scikit-learn | Scikit-learn or Scikit-learn is the most useful library for machine learning in Python |
Pandas | Pandas is the most efficient Python library for data manipulation and analysis |
DOcplex | DOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling |