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15 Python Tips : How to Write Code Effectively

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 Here are some Python tips to keep in mind that will help you write clean, efficient, and bug-free code.     Python Tips for Effective Coding 1. Code Readability and PEP 8  Always aim for clean and readable code by following PEP 8 guidelines.  Use meaningful variable names, avoid excessively long lines (stick to 79 characters), and organize imports properly. 2. Use List Comprehensions List comprehensions are concise and often faster than regular for-loops. Example: squares = [x**2 for x in range(10)] instead of creating an empty list and appending each square value. 3. Take Advantage of Python’s Built-in Libraries  Libraries like itertools, collections, math, and datetime provide powerful functions and data structures that can simplify your code.   For example, collections.Counter can quickly count elements in a list, and itertools.chain can flatten nested lists. 4. Use enumerate Instead of Range     When you need both the index ...
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Daily use AWS File Commands

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The AWS Command Line Interface (CLI) is a unified tool to manage your AWS services. With just one tool to download and configure, you can control multiple AWS services from the command line and automate them through scripts.

The AWS CLI introduces a new set of simple file commands for efficient file transfers to and from Amazon S3.
Daily use AWS file commands
Daily use AWS file commands

$ aws ec2 describe-instances
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$ aws ec2 start-instances --instance-ids i-1348636c
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 $ aws sns publish --topic-arn arn:aws:sns:us-east-1:546419318123:OperationsError --message "Script Failure"
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$ aws sqs receive-message --queue-url https://queue.amazonaws.com/546419318123/Test
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 $ aws help

$ aws autoscaling help

$ aws autoscaling create-auto-scaling-group help

$ aws s3 ls s3://mybucket

        LastWriteTime            Length Name

        ------------             ------ ----

                                            PRE myfolder/

2013-09-03 10:00:00           1234 myfile.txt

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 Sync command:
$ aws s3 sync myfolder s3://mybucket/myfolder --exclude *.tmp
upload: myfolder/newfile.txt to s3://mybucket/myfolder/newfile.txt
…

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