# Function to mAdd_Employee def Add_Employ(): Id = input("Enter Employ Id : ") # Checking if Employee with given Id # Already Exist or Not if(check_employee(Id) == True): print("Employee aready exists\nTry Again\n") menu() else: Name = input("Enter Employ Name : ") Post = input("Enter Employ Post : ") Salary = input("Enter Employ Salary : ") data = (Id, Name, Post, Salary) # Inserting Employee details in # the Employee Table sql = 'insert into empd values(%s,%s,%s,%s)' c = con.cursor() # Executing the SQL Query c.execute(sql, data) # commit() method to make changes in # the table con.commit() print("Employ Added Successfully ") menu() # Function to Promote Employee def Promote_Employee(): Id = int(input("Enter Employ's Id")) # Checking if Employee with given Id # Exist or Not if(check_employee(Id) == False): print("Employee does not exists\nTry Again\n") menu() else: Amount = int(input("Enter increase in Salary")) # Query to Fetch Salary of Employee # with given Id sql = 'select salary from empd where id=%s' data = (Id,) c = con.cursor() # Executing the SQL Query c.execute(sql, data) # Fetching Salary of Employee with given Id r = c.fetchone() t = r[0]+Amount # Query to Update Salary of Employee with # given Id sql = 'update empd set salary=%s where id=%s' d = (t, Id) # Executing the SQL Query c.execute(sql, d) # commit() method to make changes in the table con.commit() print("Employe Promoted") menu() # Function to Remove Employee with given Id def Remove_Employ(): Id = input("Enter Employ Id : ") # Checking if Employee with given Id Exist # or Not if(check_employee(Id) == False): print("Employee does not exists\nTry Again\n") menu() else: # Query to Delete Employye from Table sql = 'delete from empd where id=%s' data = (Id,) c = con.cursor() # Executing the SQL Query c.execute(sql, data) # commit() method to make changes in # the table con.commit() print("Employee Removed") menu() # Function To Check if Employee with # given Id Exist or Not def check_employee(employee_id): # Query to select all Rows f # rom employee Table sql = 'select * from empd where id=%s' # making cursor buffered to make # rowcount method work properly c = con.cursor(buffered=True) data = (employee_id,) # Executing the SQL Query c.execute(sql, data) # rowcount method to find # number of rows with given values r = c.rowcount if r == 1: return True else: return False # Function to Display All Employees # from Employee Table def Display_Employees(): # query to select all rows from # Employee Table sql = 'select * from empd' c = con.cursor() # Executing the SQL Query c.execute(sql) # Fetching all details of all the # Employees r = c.fetchall() for i in r: print("Employ Id : ", i[0]) print("Employ Name : ", i[1]) print("Employ Post : ", i[2]) print("Employ Salary : ", i[3]) print("---------------------\ -----------------------------\ ------------------------------\ ---------------------") menu() # menu function to display menu def menu(): print("Welcome to Employ Management Record") print("Press ") print("1 to Add Employ") print("2 to Remove Employ ") print("3 to Promote Employ") print("4 to Display Employees") print("5 to Exit") ch = int(input("Enter your Choice ")) if ch == 1: Add_Employ() elif ch == 2: Remove_Employ() elif ch == 3: Promote_Employee() elif ch == 4: Display_Employees() elif ch == 5: exit(0) else: print("Invalid Choice") menu() # Calling menu function menu()
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 |