aws-appsync-community VS black

For context; the web application is built with React and TypeScript which makes calls to an AppSync API that makes use of the Lambda and DynamoDB datasources. We use Step Functions to orchestrate the flow of events for complex processing like purchasing and renewing policies, and we use S3 and SQS to process document workloads.

AWS AppSync is a serverless GraphQL offering by AWS, previously I authored a blog about AWS AppSync 101 which gets you up to speed with the capabilities of AppSync and how you can leverage them in your serverless applications.

Amplify Studio's Data allows you to define Amazon DynamoDB keeping in mind the properties with the right type and also powered with AWS AppSync where which generates a GraphQL schema under the hood.

AWS AppSync I'm keeping this section a bit shorter for you all, since AppSync is not something I have actually used personally, but have heard great things about. AppSync is another API option AWS has made available specifically for applications that want to take advantage of GraphQL or a Publish/Subscribe model. The GraphQL model may be of interest to front end developers that need to query multiple sources of data from one API endpoint, like databases or microservices. The Pub/Sub model I am more familiar with in the IoT hardware-communicates-with-software aspect, however this is also powerful for frontend developers looking to take advantage of real-time updates with serverless WebSocket connections. With AppSync, you also have caching, offline data synchronization, and real-time updates. You can learn more and check out the developer docs on the AWS Website.

5. Amazon Appsync

Amplify is a set of tools that allows full-stack web and mobile developers to create and build apps. It makes using AWS services, like our Cognito identity and access management service, or our managed GraphQL service AppSync, much simpler and straight forward to use.

This was the top-voted, long-awaited request for AppSync.

Appsync is the AWS service focus on creating flexible APIs, and Amplify is the framework that combines multiple AWS tools to help you build any type of Application.

Check out AppSync (https://aws.amazon.com/appsync/) or Apollo, you can deploy Apollo app to AWS as serverless application.

$ git commit -m "add pre-commit configuration" [INFO] Initializing environment for https://github.com/psf/black. [INFO] Installing environment for https://github.com/psf/black. [INFO] Once installed this environment will be reused. [INFO] This may take a few minutes... black................................................(no files to check)Skipped [main 6e21eab] add pre-commit configuration 1 file changed, 7 insertions(+)

Black: Known as “The Uncompromising Code Formatter”, Black automatically formats your Python code to conform to the PEP 8 style guide. It takes away the hassle of having to manually adjust your code style.

black @ git+https://github.com/psf/black

In the realm of Python development, there is a multitude of code formatters that adhere to PEP 8 guidelines. Today, we will briefly discuss how to install and utilize black.

Perfect, that worked, thank you!

I thought this could be solved by changing the directory to src/ and then executing that command, but this didn't work.

This also seems to be an issue with the web app, e.g. the repository for the formatter black is only one white dot https://dep-tree-explorer.vercel.app/api?repo=https://github...

Ruff is not only much faster, but it is also very convenient to have an all-in-one solution that replaces multiple other widely used tools: Flake8 (linter), isort (imports sorting), Black (code formatter), autoflake, many Flake8 plugins and more. And it has drop-in parity with these tools, so it is really straightforward to migrate from them to Ruff.

What I am looking for is something like Black for Python, which is opinionated, with reasonable defaults, and auto-fixes most/all issues.

1. LICENSE: This file contains information about the rights and permissions granted to users regarding the use, modification, distribution, and sharing of the software. I already had an MIT License in my project. 2. pyproject.toml: It is a configuration file typically used for specifying build requirements and backend build systems for Python projects. I was already using this file for Black code formatter configuration. 3. README.md: Used as a documentation file for your project, typically includes project overview, installation instructions and optionally, contribution instructions. 4. example_package_YOUR_USERNAME_HERE: One big change I had to face was restructuring my project, essentially packaging all files in this directory. The name of this directory should be what you want to name your package and shoud not conflict with any of the existing packages. Of course, since its a Python Package, it needs to have an __init__.py. 5. tests/: This is where you put all your unit and integration tests, I think its optional as not all projects will have tests. The rest of the project remains as is.

using pylint and black ("the uncompromising code formatter")