Flask
node
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Flask | node | |
---|---|---|
134 | 916 | |
66,287 | 103,479 | |
0.6% | 1.5% | |
8.7 | 9.9 | |
3 days ago | 6 days ago | |
Python | JavaScript | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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.
Flask
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Rapid Prototyping with Flask, Bootstrap and Secutio
#!/usr/bin/python # # https://flask.palletsprojects.com/en/3.0.x/installation/ # from flask import Flask, jsonify, request contacts = [ { "id": "1", "firstname": "Lorem", "lastname": "Ipsum", "email": "[email protected]", }, { "id": "2", "firstname": "Mauris", "lastname": "Quis", "email": "[email protected]", }, { "id": "3", "firstname": "Donec Purus", "lastname": "Purus", "email": "[email protected]", } ] app = Flask(__name__, static_url_path='', static_folder='public',) @app.route("/contact//save", methods=["PUT"]) def save_contact(id): data = request.json contacts[id - 1] = data return jsonify(contacts[id - 1]) @app.route("/contact/", methods=["GET"]) @app.route("/contact//edit", methods=["GET"]) def get_contact(id): return jsonify(contacts[id - 1]) @app.route('/') def root(): return app.send_static_file('index.html') if __name__ == '__main__': app.run(debug=True)
- Microdot "The impossibly small web framework for Python and MicroPython"
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Why do all the popular projects use relative imports in __init__ files if PEP 8 recommends absolute?
I was looking at all the big projects like numpy, pytorch, flask, etc.
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10 Github repositories to achieve Python mastery
Explore here.
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Ask HN: What would you use to build a mostly CRUD back end today?
I may use Flask-Admin initially to offload the "CRUD" operations to have an initial prototype fast but then drop it ASAP because I don't want to write a "flask-admin application" to fight against later on. If the application is mainly "CRUD", then Flask-Admin is suitable.
Now...
Would you do a breakdown/list of all the jobs you've done by sector/vertical and by function/role and by application functionality?
- [0]: https://flask.palletsprojects.com
- [1]: https://flask-admin.readthedocs.io/en/latest
- [2]: https://flask.palletsprojects.com/en/2.3.x/patterns/celery
- [3]: https://sentry.io
- [4]: https://posthog.com
- [5]: https://www.docker.com
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Implementing continuous delivery pipelines with GitHub Actions
In the lab to follow, we will be setting up an end-to-end DevOps workflow for a Flask microservice with GitHub Actions, using a self-managed custom runner for maximal control over the pipeline execution environment and automating deployments to a local Kubernetes cluster. Furthermore, we will construct separate pipelines for our "development" and "production" environments to further elaborate on the concepts of continuous deployment and delivery.
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Flask Application Load Balancing using Docker Compose and Nginx
Flask Micro web Framework: You will use Flask to build a Flask web application.
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Open Source Flask-based web applications
In an earlier post I mentioned a bunch of Open Source web applications. Let's now focus on the ones written in Python using Flask the light-weight web framework.
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I'm learning python but I'm confused for the path ahead.
I also suggest that once you've gained familiarity with the basics, you look at micro-frameworks, such as FastAPI and flask, before switching to a full fat framework like django, which will give you an appreciation of what opinionated frameworks such as django can do for you.
- I released my first package. Feedback needed.
node
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URL shortening using CLI
NodeJS - Link
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Next.js vs Node.js: A Modern Contrast
To get involved in the Node.js developer community, you can join community discussions or begin with learning if you’re new. The community discussion houses a GitHub list of issues related to Node.js' core features. If you want to chat in real time about Node.js development, there are Slack groups, and you can still connect with IRC clients or web clients when using the browser. Node.js has a calendar for public meetings.
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Build a Discord Bot with Discord.js V14: A Step-by-Step Guide
Download the latest version from the Node.js website, open the package installer, and follow the instructions Use a package manager like Homebrew with the command brew install node On Linux, you can consult this page to determine how you should install Node.
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Node.js 20.6 adds built-in support for .env files
As with all experimental things, a few things are missing. Some of these might lead to people using dotenv until support for these gets added. I will mention them here and let you see if they are dealbreakers. You can also follow the GitHub issue to track missing feature support.
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Netlify integrations can now inject serverless functions to enhance any site. Here’s how
Node
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Run a Linux Distro in your Android device
Depending on the stack of the repository you are cloning, you might have to install additional dependencies. For this demo, I'm using my own website, which is a static website built with Astro.js. It which requires to have Node.js installed and Yarn for package manager.
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Build a serverless ChatGPT with RAG using LangChain.js
A working Node.js v20+ environment
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Locally test and validate your Renovate configuration files
We will be using the self-hosted version of Renovate distributed via npm, but you can adapt the scripts in this article to use the Docker version, or others. Make sure you have Node.js installed on your machine.
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Building a README Crawler With Node.js
To execute the algorithm, we will use Node.js (for the JavaScript runtime) and node-fetch (for network requests). This means we will run the code locally from the command line. For this project, we will have an output folder to store all the README data, as well as a list (queue) of repository URLs to visit. Before diving into the code, it is important to plan the input and output of the algorithm. For this web crawler, we will start at a valid GitHub repository page, which would be one URL string. After visiting each page with a README, we will export the data into a new file. Now lets cover the process of requesting a repository page from a URL. For this, we only care about saving the README file that is displayed, and we will ignore any other links that GitHub displays (such as the navbar). We will send a URL request with node-fetch, and retrieve the result of a HTML string. If we convert the HTML string to a DOM Tree, we can search for a specific element. GitHub stores the README file under a div with the class "markdown-body". We can use a library called 'jsdom' to use Browser API methods, and return a specific node.
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The V8 Sandbox
I believe that day has already come: https://nodejs.org/docs/latest-v20.x/api/worker_threads.html...
When you create a Worker with the worker_threads module, Node spawns a new V8 isolate in the same process: https://github.com/nodejs/node/blob/v20.12.1/src/node_worker...
It’s much more isolation than C threads – the entry point for a thread is a whole module (not a function), and threads must use message passing to communicate. They can share memory, but only via [Shared]ArrayBuffer objects.
But I think it'd meet your needs for an in-process isolated execution environment, which you can terminate from the main thread after a timeout.
What are some alternatives?
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
Django - The Web framework for perfectionists with deadlines.
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
quart - An async Python micro framework for building web applications.
starlette - The little ASGI framework that shines. 🌟
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
uvicorn - An ASGI web server, for Python. 🦄
CherryPy - CherryPy is a pythonic, object-oriented HTTP framework. https://cherrypy.dev
web.py - web.py is a web framework for python that is as simple as it is powerful.
Bottle - bottle.py is a fast and simple micro-framework for python web-applications.
Masonite - The Modern And Developer Centric Python Web Framework. Be sure to read the documentation and join the Discord channel for questions: https://discord.gg/TwKeFahmPZ
Svelte - Cybernetically enhanced web apps