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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: ...
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Python: Here are 3 Brilliant Methods to Execute

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You can run python commands in three methods. Those are at CLI, Python interface, and as a Script.


3 Methods you need to run python commands

How to Run Script at CLI?


The script extension should be .py. Here is an example xyz.py. When the script is ready, the next step is to run it. How to run it from CLI? 


Here is a command to run at CLI. Suppose you have installed Python in Linux OS. Then you need to give:


$ python -m xyz.py


Here, m means module. That means you are running a script with Python code.



How to Run Commands at Script?


The Other way, you can execute Python statements directly at CLI. Here's a command for your quick reference.


$ python -c "print('Hello world')"


Here, the print statement displays "Hello World" on the screen.


How to Run commands at Python Interface?

You know that the Python interface needs an operating system - Windows or Linux. 


$ Python3

>>> 10 + 20

30


References

  1. Python Programming: Using Problem Solving Approach

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