learn-x-by-doing-y
microblog
learn-x-by-doing-y | microblog | |
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7 | 220 | |
1,092 | 4,430 | |
- | - | |
0.0 | 2.1 | |
3 months ago | 18 days ago | |
Python | Python | |
MIT License | 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.
learn-x-by-doing-y
- Learn X by Doing Y
- Rising junior and no projects :/
- Ask HN: Where can one learn about boring web development?
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What're some learning resources and projects for python?
This list is enough, but after you get the basics from one of the above, do a project from https://aquadzn.github.io/learn-x-by-doing-y/
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Cognicull: Knowledge base for mathematics, natural science and engineering
Some other knowledge-graph type projects for comparison:
> Metacademy - "Package Manager for Knowledge" - https://metacademy.org/
> MathLingua - language for easily creating a collection of mathematical knowledge, including definitions, theorems, axioms, and conjectures, in a format designed to be easy and fun to read and write. - https://www.mathlingua.org/
> Learn X in Y minutes - https://learnxinyminutes.com/
> Learn X by doing Y - https://aquadzn.github.io/learn-x-by-doing-y/
Many people are also starting to use the bidirectional-link style of note-taking to create their own knowledge graphs. I'm curious to see what sort of tools will emerge in the future to help people share the graphs they've created.
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I was bored, so I built my own programming language
You see, I really needed something to do. I had been doing a few web related projects on the side and that was something I didn't want to do any more, at least for a while. So I looked into doing something "closer to the metal", something much lower level than sending requests back and forth to a web server. So I quickly fired up Learn X by doing Y and searched for something interesting, eventually ending up on Building your own Lisp (We all have a Lisp phase, it was just my turn).
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Learn X by Doing Y – A project-based learning search engine
Search is good, but if you're like me and would like to just see the list of available projects, it's here
https://github.com/aquadzn/learn-x-by-doing-y/blob/main/proj...
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.
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Ask HN: Washed out PHP Dev – What to do next?
- https://blog.miguelgrinberg.com/post/the-flask-mega-tutorial...
- 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.
What are some alternatives?
learnxinyminutes-docs - Code documentation written as code! How novel and totally my idea!
flask-app-tutorial - Project for how to create a flask web application.
clojure - The Clojure programming language
build-a-saas-app-with-flask - Learn how to build a production ready web app with Flask and Docker.
noteworthy - Markdown editor with bidirectional links and excellent math support, powered by ProseMirror. (In Development!)
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
GNU Emacs - Mirror of GNU Emacs
CS50x-2021 - 🎓 HarvardX: CS50 Introduction to Computer Science (CS50x)
neuron - Future-proof note-taking and publishing based on Zettelkasten (superseded by Emanote: https://github.com/srid/emanote)
flasky - Companion code to my O'Reilly book "Flask Web Development", second edition.
project-based-learning - Curated list of project-based tutorials
kivy - Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS