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How to Build CI/CD Pipeline: GitHub to AWS

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 Creating a CI/CD pipeline to deploy a project from GitHub to AWS can be done using various AWS services like AWS CodePipeline, AWS CodeBuild, and optionally AWS CodeDeploy or Amazon ECS for application deployment. Below is a high-level guide on how to set up a basic GitHub to AWS pipeline: Prerequisites AWS Account : Ensure access to the AWS account with the necessary permissions. GitHub Repository : Have your application code hosted on GitHub. IAM Roles : Create necessary IAM roles with permissions to interact with AWS services (e.g., CodePipeline, CodeBuild, S3, ECS, etc.). AWS CLI : Install and configure the AWS CLI for easier management of services. Step 1: Create an S3 Bucket for Artifacts AWS CodePipeline requires an S3 bucket to store artifacts (builds, deployments, etc.). Go to the S3 service in the AWS Management Console. Create a new bucket, ensuring it has a unique name. Note the bucket name for later use. Step 2: Set Up AWS CodeBuild CodeBuild will handle the build proces
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Python Command Line Options List

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The complete list of command line options

-b

Issue warnings for calling str() with a bytes or bytearray object and no encoding argument, and comparing a bytes or bytearray with a str. Option -bb issues errors instead.

-B

Do not write .pyc or .pyo byte-code files on imports.

-d

Turn on parser debugging output (for developers of the Python core).

-E

Ignore Python environment variables described ahead (such as PYTHONPATH).

-h

Print help message and exit.

-i

Enter interactive mode after executing a script. Hint: useful for postmortem debugging; see also pdb.pm(), described in Python’s library manuals.

-O

Optimize generated byte code (create and use .pyo byte-code files). Currently yields a minor performance improvement.

-OO

Operates like -O, the previous option, but also removes docstrings from byte code.

-q

Do not print version and copyright message on interactive startup (as of Python 3.2).

-s

Do not add the user site directory to the sys.path module search path.

-S

Do not imply “import site” on initialization.

-u

Force stdout and stderr to be unbuffered and binary.

-v

Print a message each time a module is initialized, showing the place from which it is loaded; repeat this flag for more verbose output.

-V

Print Python version number and exit (also available as --version).

-W arg

Warnings control: arg takes the form action:message: category:module:lineno. See also “Warnings Framework” and “Warning Category Exceptions” ahead, and the warn ings module documentation in the Python Library Reference manual (available at http://www.python.org/doc/).

-x

Skip first line of source, allowing use of non-Unix forms of

#!cmd.

-X option

Set implementation-specific option (as of Python 3.2); see implementation documentation for supported option values.

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