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Step-by-Step Guide to Creating an AWS RDS Database Instance

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 Amazon Relational Database Service (AWS RDS) makes it easy to set up, operate, and scale a relational database in the cloud. Instead of managing servers, patching OS, and handling backups manually, AWS RDS takes care of the heavy lifting so you can focus on building applications and data pipelines. In this blog, we’ll walk through how to create an AWS RDS instance , key configuration choices, and best practices you should follow in real-world projects. What is AWS RDS? AWS RDS is a managed database service that supports popular relational engines such as: Amazon Aurora (MySQL / PostgreSQL compatible) MySQL PostgreSQL MariaDB Oracle SQL Server With RDS, AWS manages: Database provisioning Automated backups Software patching High availability (Multi-AZ) Monitoring and scaling Prerequisites Before creating an RDS instance, make sure you have: An active AWS account Proper IAM permissions (RDS, EC2, VPC) A basic understanding of: ...

How to Find Factorial in Python for Any Number

I have explained how to find factorial for a given number in Python using my own script fact.fy.
A module is created as a script file, which contains function definitions that can be called in two ways:

  • From the interpreter
  • From another script file or from another function

python factorial logic

How to import a Script from Linux to Python Console

I have written a script fact.fy

# This program illustrates the designing/creation of a module

def factorial(n):
        "This module computes factorial"
        f=1;
        for i in range (1, n+1):
                  f=f*i;
        print(f)
        return 

In interpreter...
>>> import fact       ==> Import from Linux
>>>fact.factorial(5)
120

What is script reloading?

The Python interpreter imports a module only once in a session. 

If some modifications are performed in the script, then it must be reloaded (imported) again in the interpreter for future use.

A script is a reusable component and you can add n number of functions inside of it.

Directory function in Python.

In order to see the list of function names defined in a module, Python is provided with a built-in function called dir().

It displays the list of all the function definition names as follows:

>>>dir()

['__builtins__', '__cached__', '__doc__', '__file__', 
'__loader__','__name__', '__package__','__spec__',
'fib']

Another way if we give 'module' name in dir(), you will get a list of all functions inside of it.

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