twython
boto3
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twython | boto3 | |
---|---|---|
1 | 15 | |
1,835 | 7,492 | |
- | 1.5% | |
0.0 | 9.7 | |
about 1 year ago | about 15 hours ago | |
Python | Python | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
twython
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pysmashgg: A New Python Wrapper for smash.gg's new API!
In terms of the sleep thing, I hear you - I'm just offering advice from maintaining an API wrapper for 10+ years. There's two reasons you may want to consider here:
boto3
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API Friction Complicates Hunting for Cloud Vulnerabilities. SQL Makes it Simple.
Pen testers, compliance auditors, and other DevSecOps pros spend a lot of time writing scripts to query cloud infrastructure. Boto3, the AWS SDK for Python, is a popular way to query AWS APIs and reason over the data they return.
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Which AWS Path uses python?
Check out this link
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Retrieving subfolders names in S3 bucket from boto3
I also tried something reported here:
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How to save S3 object to a file using boto3
I'm trying to do a "hello world" with new boto3 client for AWS.
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Table Resource VS Client in AWS
DynamoDB provides an excellent way to store data in a flexible and scalable way. Add it to Lambda and API Gateway, and you have a powerful group of tools, which I have written about. It was for these reasons that I chose to use it for a side project I am building to familiarize myself with React. It was in these features that I struggled with an issue in how boto3, the SDK for talking with AWS in Python, implements their libraries.
- Which video course or book would you recommend for R on AWS?
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The 3-2-1 Backup Rule – Why Your Data Will Always Survive
So it's 80% less service than S3, I see ))
In any case, thanks for mentioning the service. I'm quite happy with [Boto](https://github.com/boto/boto3) for interfacing with Glacier but it is good to know about alternatives.
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How to learn syntax of AWS Sagemaker ?
And here is the AWS SDK for Python (it name is “boto3”): https://aws.amazon.com/sdk-for-python/
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CloudFormation stack creation using Python
AWS SDK for Python (Boto3)
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Image Uploads - Deployment to Digitalocean
You can use Amazon S3 with your Django app no matter where it’s hosted. I recommend leveraging boto3.
What are some alternatives?
aws-cli - Universal Command Line Interface for Amazon Web Services
apache-libcloud - Apache Libcloud is a Python library which hides differences between different cloud provider APIs and allows you to manage different cloud resources through a unified and easy to use API.
boto - For the latest version of boto, see https://github.com/boto/boto3 -- Python interface to Amazon Web Services
google-api-python-client - 🐍 The official Python client library for Google's discovery based APIs.
Telethon - Pure Python 3 MTProto API Telegram client library, for bots too!
gspread - Google Sheets Python API
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
PyGitHub - Typed interactions with the GitHub API v3
PRAW - PRAW, an acronym for "Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.
facepy - Facepy makes it really easy to use Facebook's Graph API with Python
AWS-CheatSheet - ☁️ The AWS Cheat Sheet ☁️
BucketStore - A simple library for interacting with Amazon S3.