Drafts

global Field global BaseModel from pydantic import BaseModel from pydantic import Field Pydantic is a Python library for serializing data into models that can be validated with a deep set of built in valitators or your own custom validators, and deserialize back to JSON or dictionary. Installation # [1] To install pydantic you will first need python and pip. Once you have pip installed you can install pydantic with pip. pip install pydantic Always install in a virtual environment [2] Creating a Pydantic model # [3] To get started with pydantic you will first need to create a Pydantic model. This is a python class that inherits from pydantic.BaseModel. from pydantic import BaseModel from pydantic import Field from typing import Optional class Person(BaseModel): name: str = Field(...) age: int parsing an object # [4] person = Person(name="John Doe", age=30) print(person) name='John Doe' age=30 data serialization # [5] Pydantic has some very robust serialization methods that will automatically coherse your data into the type specified by the type-hint in the model if it can. person = Person(name=12, age="30") print(f'name: {person.name}, type: {type(person.name)}')...

from kedro.pipeline import node node( input="raw", output="int", func=my_func, tags=["one"], )

- 11ty https://www.rockyourcode.com/how-to-deploy-eleventy-to-github-pages-with-github-actions/ - hugo puts it in the base url https://gohugo.io/getting-started/configuration/#baseurl - mkdocs uses a special cli build command https://squidfunk.github.io/mkdocs-material/publishing-your-site/#github-pages

Upon first running an aws cli command using localstack you might end up with the following error. Unable to locate credentials. You can configure credentials by running "aws configure". Easy way # [1] The easy easiest way is to leverage a package called awscli-local. pipx install awscli-local Leveraging the awscli # [2] If you want to use the cli pro pipx install awscli aws config --profile localstack # put what you want for the keys, but enter a valid region like us-east-1 alias aws='aws --endpoint-url http://localhost:4566 --profile localstack' References: [1]: #easy-way [2]: #leveraging-the-awscli

npx create-react-app todoreact import React,{useState,useEffect} from 'react'; import './App.css'; function App() { const [data,setData]=useState([]); const [newName,setNewName]=useState([]); const getData=()=>{ fetch('/api' ,{ headers : { 'Content-Type': 'application/json', 'Accept': 'application/json' } } ) .then(function(response){ return response.json(); }) .then(function(myJson) { setData(myJson) }); } useEffect(()=>{ getData() },[]) const addItem= async () => { const rawResponse = await fetch('/api/add/', { method: 'POST', headers: { 'Accept': 'application/json', 'Content-Type': 'application/json' }, body: JSON.stringify({"name": newName}) }); const content = await rawResponse; console.log(content); getData() } return ( <div className="App"> { data && data.length>0 && data.map((item)=><p>{item.id}{item.priority}{item.name}<button>raise priority</button></p>) } <input type='text' value={newName} onChange={(e) => (setNewName(e.target.value))} /> <button onClick={addItem} >add item</button> </div> ); } export default App;

[1] References: [1]: https://dropper.waylonwalker.com/api/file/388f4342-8623-4ac7-9b4b-1d63cd82d2ad.png

Hatch allows you to specify direct references for dependencies in your pyproject.toml file. This is useful when you want to depend on a package that is not available on PyPI or when you want to use a specific version from a Git [1] repository. Often used for unreleased packages, or unreleased versions of packages. docs [2] [project] dependencies = ['markata', 'markata-todoui@git+https://github.com/waylonwalker/markata-todoui'] [tool.hatch.metadata] allow-direct-references=true References: [1]: /glossary/git/ [2]: https://hatch.pypa.io/dev/config/dependency/#direct-references

{% for year in markata.map(“date.year”, filter=‘published’)|unique %} {{ year }} # [1] {% for post in markata.map(‘post’, filter=“published and date.year == “+year|string, sort=‘date’) %} - [{{ post.title }} - {{ post.date.month }}/{{ post.date.day }}](/{{ post.slug }}) {% endfor %} {% endfor %} References: [1]: #-year-