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Original blog: https://blog.miguelgrinberg.com/post/it-s-time-for-a-change-datetime-utcnow-is-now-deprecated

Example for new timezone aware objects:

from datetime import datetime, timezone

def aware_utcnow():
    return datetime.now(timezone.utc)

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Just run the following command:

cat ~/.vscode/extensions/extensions.json | jq -r ".[] | .identifier.id"

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AWS Python Lambda Function Packaging

The script will create a ZIP file according to the AWS Documented process.

The resulting ZIP file can then be uploaded to S3 from where you can create the Lambda function, either by the AWS CLI, the AWS Console or by AWS CloudFormation. Just supply the S3 ZIP file URL and your Lambda function will be created.

Basic Workflow

1. Create a directory for your Python script (Lambda function) and create the initial script. If you need additional packages, specify then in a requirements.txt file in the same directory as the Python script
2. Code... coffee... code... coffee... etc. (repeat as required)

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[2023-12-30T07:12:55Z TRACE hyper::client::pool] checkout waiting for idle connection: ("https", github.com)
[2023-12-30T07:12:55Z DEBUG reqwest::connect] starting new connection: https://github.com/
[2023-12-30T07:12:55Z TRACE hyper::client::connect::http] Http::connect; scheme=Some("https"), host=Some("github.com"), port=None
[2023-12-30T07:12:55Z DEBUG hyper::client::connect::dns] resolving host="github.com"
[2023-12-30T07:12:55Z DEBUG hyper::client::connect::http] connecting to 140.82.121.3:443
[2023-12-30T07:12:55Z DEBUG hyper::client::connect::http] connected to 140.82.121.3:443
[2023-12-30T07:12:55Z TRACE hyper::client::conn] client handshake Http1
[2023-12-30T07:12:55Z TRACE hyper::client::client] handshake complete, spawning background dispatcher task
[2023-12-30T07:12:55Z TRACE hyper::proto::h1::conn] flushed({role=client}): State { reading: Init, writing: Init, keep_alive: Busy }
[2023-12-30T07:12:55Z TRACE hyper::client::pool] checkout dropped for ("https", github.com)

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People

:bowtie:	😄 :smile:	😆 :laughing:
😊 :blush:	😃 :smiley:	☺️ :relaxed:
😏 :smirk:	😍 :heart_eyes:	😘 :kissing_heart:
😚 :kissing_closed_eyes:	😳 :flushed:	😌 :relieved:
😆 :satisfied:	😁 :grin:	😉 :wink:
😜 :stuck_out_tongue_winking_eye:	😝 :stuck_out_tongue_closed_eyes:	😀 :grinning:
😗 :kissing:	😙 :kissing_smiling_eyes:	😛 :stuck_out_tongue:

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import requests
import logging

# These two lines enable debugging at httplib level (requests->urllib3->http.client)
# You will see the REQUEST, including HEADERS and DATA, and RESPONSE with HEADERS but without DATA.
# The only thing missing will be the response.body which is not logged.
try:
    import http.client as http_client
except ImportError:
    # Python 2

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How to find forks of a deleted repository?

1. Go to https://cachedview.com/

2. Navigate to the deleted repo, e.g. https://webcache.googleusercontent.com/search?q=cache:https://github.com/apcera/termtables

3. Copy latest known commit sha1 signature

4. Go to https://github.com/search

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A simple way to get AWS Service Quotas using Python

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Managing Gists Locally

by Danny Quah, May 2020 (revised Jan 2022)

Through the Embed instruction or plugin, Gist snippets on GitHub can conveniently provide posts on Medium, WordPress, and elsewhere supplementary information (lines of code, images, Markdown-created tables, and so on). But while Gist snippets on GitHub can be managed directly via browser or through something like [Gisto][], a user might also wish to manipulate them offline. This last is for many of the same reasons that a user seeks to clone a git repo to their local filesystem, modify it locally, and then only subsequently push changes back up to GitHub.

Here's how to do this:

Create the gist on GitHub and then clone it to your local filesystem:

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• Basic CLI Notes
  • Creating a User Principle for Certificate Based Authentication
  • CLI Outputs
• Subscription Related Info
  • Basic Account Subscription Info
  • Tenant Related Info
    • Get the current tenant for the CLI aythenticated user:
• Azure Services
• Web Apps