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microblog | papers-we-love | |
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220 | 69 | |
4,421 | 83,133 | |
- | 1.3% | |
2.3 | 5.4 | |
29 days ago | 7 months ago | |
Python | Shell | |
MIT License | - |
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.
microblog
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Simple Flask Integration for an Elastic Semantic Search App
In this blog, we're going to address the "on any website" part of a Search Solution. Or at least - propose a starting point for it. There are many great tutorials out there for a deep dive on Flask - one of the best from my colleague Miguel.
- Ask HN: Washed out PHP Dev – What to do next?
- The Flask Mega-Tutorial, Part I: Hello, World
- Deploying python code as a webapp
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Hosting small script
If you'd like to deploy a web app, Flask is your best friend. It's very user friendly and there's a lot of great tutorials online. The only thing you'd need other than Python knowledge is some basic understanding of HTML/CSS and Jinja notation for variables, both of which are pretty intuitive to learn. Good luck!
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Ask HN: How to get back to programming Python?
I can't speak highly enough of Miguel Grinberg's work with Python/Flask (https://blog.miguelgrinberg.com/post/the-flask-mega-tutorial...) and the community he's created around it, for both beginners and advanced folks.
Racing through his mega tutorial was a great refresher for me on the fundamentals, and it's easy to plug in computer vision & related libraries/extensions/packages.
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Structuring scalable flask app
Use miguel grinberg’s tutorial https://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-i-hello-world
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Flask blueprints and cyclic dependencies with routes.py files
I got a recommendation (from a few places) to use Miguel Grinberg's microblog series to help me get up to speed on some flask things. I'm on ch 15 with blueprints, and am running into pylint cyclic import errors, both on my app and in the actual project (https://github.com/miguelgrinberg/microblog/tree/v0.15?search=1)
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How to Visualize a Social Network in Python with a Graph Database: Flask + Docker + D3.js
In the project root directory create a folder called static with one subfolder called js and another called css. The js folder will contain all of the needed local JavaScript files while the css folder will contain all the CSS stylesheets. In the js folder create a file called index.js and in the css folder one called style.css. Just leave them empty for now. If you want to find out more about web development with Flask I suggest you try out this tutorial. Your current project structure should like this:
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What Is The Best Tutorial To Pick Up Flask?
https://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-i-hello-world is not perfect, but a great start.
papers-we-love
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The Top 10 GitHub Repositories Making Waves 🌊📊
Papers We Love (PWL) is a community built around reading, discussing and learning more about academic computer science papers. This repository serves as a directory of some of the best papers the community can find, bringing together documents scattered across the web. You can also visit the Papers We Love site for more info.
- What led you to use Linux as your daily driver?
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We have used too many levels of abstractions and now the future looks bleak
You might find the paper Out of the Tar Pit interesting if you haven't already read it: https://github.com/papers-we-love/papers-we-love/blob/main/d...
The ideas and approaches you talk about evoked some of the concepts from that paper for me. It talks a lot about separating accidental complexity and infrastructure so you can focus only on what is essential to define your solutions.
- Out Of The Tar Pit (2006) [pdf]
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John McCarthy’s collection of numerical facts for use in elisp programs
Sure he was expecting a practical language and was designing one. Lisp was from day zero a project to implement a real programming language for a computer.
Earlier he experimented with IPL and also list processing programming on Fortran. The plan was to implement a Lisp compiler. At first the Lisp code McCarthy was experimenting with, was manually translated to machine code.
Then came up the idea to use EVAL as a base for an interpreter, which was implemented by manually translating the Lisp code to machine language. Around 1962 then a compiler followed.
https://github.com/papers-we-love/papers-we-love/blob/main/c...
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Python: Just Write SQL
I'm in a 4th camp: we should be writing our applications against a relational data model and _not_ marshaling query results into and out of Objects at all.
Elaborations on this approach:
- https://github.com/papers-we-love/papers-we-love/blob/main/d...
- CS Journals and Magazines?
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Ask HN: Incremental View Maintenance for SQLite?
The short ask: Anyone know of any projects that bring incremental view maintenance to SQLite?
The why:
Applications are usually read heavy. It is a sad state of affairs that, for these kinds of apps, we don't put more work on the write path to allow reads to benefit.
Would the whole No-SQL movement ever even have been a thing if relational databases had great support for materialized views that updated incrementally? I'd like to think not.
And more context:
I'm working to push the state of "functional relational programming" [1], [2] further forward. Materialized views with incremental updates are key to this. Bringing them to SQLite so they can be leveraged one the frontend would solve this whole quagmire of "state management libraries." I've been solving the data-sync problem in SQLite (https://vlcn.io/) and this piece is one of the next logical steps.
If nobody knows of an existing solution, would love to collaborate with someone on creating it.
[1] - https://github.com/papers-we-love/papers-we-love/blob/main/design/out-of-the-tar-pit.pdf
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Good papers for high school students?
Here is a great Repo on GitHub named paers-we-love. You will surely find some great papers there and also some good other resources. Hope this helps.
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I think Zig is hard but worth it
However, f and g are interchangeable anywhere else (this is not actually true because their addresses can be obtained and compared; showing that a C-like language retains its referential transparency despite the existence of so-called l-values was the point of what I think is the first paper to introduce the notion referential transparency to the study of programming languages: https://github.com/papers-we-love/papers-we-love/blob/main/l...)
What are some alternatives?
flask-app-tutorial - Project for how to create a flask web application.
Crafting Interpreters - Repository for the book "Crafting Interpreters"
build-a-saas-app-with-flask - Learn how to build a production ready web app with Flask and Docker.
Flowgorithm-macOS - Flowgorithm for Mac OS
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
elm-architecture-tutorial - How to create modular Elm code that scales nicely with your app
CS50x-2021 - 🎓 HarvardX: CS50 Introduction to Computer Science (CS50x)
git-internals-pdf - PDF on Git Internals
kivy - Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
clojure-style-guide - A community coding style guide for the Clojure programming language
flasky - Companion code to my O'Reilly book "Flask Web Development", second edition.
salsa - A generic framework for on-demand, incrementalized computation. Inspired by adapton, glimmer, and rustc's query system.