piral
lxml
piral | lxml | |
---|---|---|
18 | 17 | |
1,626 | 2,573 | |
0.9% | 0.8% | |
9.5 | 9.6 | |
10 days ago | 4 days ago | |
TypeScript | Python | |
MIT License | GNU General Public License v3.0 or later |
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piral
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Micro frontend frameworks in 2024
Piral Framework - Focused on developer experience with features like a visual UI editor, live previews and hot module replacement. Ref - https://piral.io/
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Building a Large Scale Micro-frontend Application.
Micro-frontend applications have become increasingly popular among developers thanks to their many advantages. It helps create modular and maintainable applications capable of handling complex business needs. As with any technology, implementing micro-frontends poses challenges, such as ensuring consistent APIs. But, with tools like Piral, developers can easily create and scale micro-frontend applications.
- Micro frontend
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Microfrontends: Microservices for the Frontend
Piral: implements isolated components called pilets. Pilets are modules that bundle content and behavior.
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Versioning Web Components
I've prepared a demo project on the basis of Piral. The running demo can be found at the Piral samples organization on GitHub. Running the demo locally does not look very spectacular.
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There is framework for everything.
https://bit.dev/ https://piral.io/ https://github.com/umijs/qiankun https://github.com/single-spa/single-spa
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Getting Started with Micro Frontends
3) Piral: Piral is a framework for next-gen portal applications.
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How we wrote our CLI integration tests
For the command line tooling of our micro frontend framework Piral we needed to be sure that it properly runs. This includes
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Writing "The Art Of Micro Frontends"
The idea of writing a book about micro frontends was born in mid 2019 when Piral was born out of smapiot's open-source efforts. We've been leading and assisting to micro frontend implementations for a while, and our intention was to put together an (almost) ideal pattern into an open-source framework.
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Donald Trump Hates It: Distributed Development Using Micro Frontends
Therefore, for the example, I've picked a rather fancy way to "loosely" get the micro frontends at runtime using a file called feed.json, which is created at build-time using the information which micro frontends (called pilets in this case, because I am using the Piral framework) are actually available. Therefore, just adding, e.g., a third micro frontend easily works without touching the app-shell package.
lxml
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8 Most Popular Python HTML Web Scraping Packages with Benchmarks
lxml
- Looking for someone to web scrape housing data needed research. Will pay you for your work!!
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13 ways to scrape any public data from any website
Parsel is a library build to extract data from XML/HTML documents with XPath and CSS selectors support, and could be combined with regular expressions. It's usees lxml parser under the hood by default.
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lazy and fast .mpd file parser - for video streaming
So, now that I no longer work in that industry, and I had some free time, I created a lazy parsing package using lxml instead of the xml parser in the standard library, which can help people who want to have a python only parsing solution.
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Guide to working with fancier XML documents with python?
Seriously, use LXML.
- There is framework for everything.
- how to find text in website ?
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Parsing XML file deletes whitespace. How to avoid it?
I got curious about this now so I did some tests on my own, and it appears that the XML parser implementation in Python does indeed strip all newline characters from attributes. Whether this is according to XML standard I do not know; I also briefly tried an alternative XML implementation for Python and it behaves the same, so I would assume that this is standard behavior, but I'm not knowledgable enough about XML to say for certain.
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Use case for ETL over ELT?
I use lxml for the XML parsing and pyodbc as the ODBC library. We have a small team so I just keep it as simple as possible: 1. A cursor yields the XML documents from a SQL query as a stream 2. A generator function parses the XML document and yields the rows (you could parallelize this step) 3. Stream each of the resulting rows to a single CSV file 4. Scoop up the resulting CSV file into the target database (usually with the DB engine's loader; bulk insert isn't so fast over ODBC) It ends up being a straight forward, low-overhead approach.
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CompactLogix: Implementing HTTP requests & XML Data Transfer via TCP/IP
If that sounds too weird maybe take a look at pycomm3, python also has lxml as well as requests. You could write a script that retrieves the data from the clx using the appropriate pycomm3 driver for cplx and then do xml things with the data using lxml and transmit the data over http using requests.
What are some alternatives?
single-spa - The router for easy microfrontends
xmltodict - Python module that makes working with XML feel like you are working with JSON
Bit - A build system for development of composable software.
selectolax - Python binding to Modest and Lexbor engines (fast HTML5 parser with CSS selectors).
pixiv.moe - 😘 A pinterest-style layout site, shows illusts on pixiv.net order by popularity.
html5lib - Standards-compliant library for parsing and serializing HTML documents and fragments in Python
luigi - Micro frontend framework
untangle - Converts XML to Python objects
Next.js - The React Framework
bleach - Bleach is an allowed-list-based HTML sanitizing library that escapes or strips markup and attributes
puzzle-js - âš¡ Micro frontend framework for scalable and blazing fast websites.
pyquery - A jquery-like library for python