pymata4
Flask
pymata4 | Flask | |
---|---|---|
2 | 135 | |
68 | 66,417 | |
- | 0.4% | |
3.8 | 8.7 | |
almost 2 years ago | 1 day ago | |
Python | Python | |
GNU Affero General Public License v3.0 | BSD 3-clause "New" or "Revised" 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.
pymata4
- Using python to control stepper motor on Arduino
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RADU: Motor Controller Software for Arduino and Raspberry Pico
The Firmata Protocol provides an abstraction layer for communicating with a microcontroller to read and write its GPIO pins. Currently, it works with Arduino based microcontroller. To use this, you need to install the Firmata firmware on your microcontroller, and then use the client library for sending Firmata commands. The protocol support different client libraries, like Python Pymata4 or other languages like JavaScript and Ruby. There are no ROS abstractions, which means inside the client you would need to write custom code for processing and generating ROS messages.
Flask
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Ask HN: High quality Python scripts or small libraries to learn from
I'd suggest Flask or some of the smaller projects in the Pallets ecosystem:
https://github.com/pallets/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.
- How do you iterate on a library built locally?
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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.
What are some alternatives?
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
Keras - Deep Learning for humans
Django - The Web framework for perfectionists with deadlines.
Micro-XRCE-DDS - An XRCE DDS implementation. Looking for commercial support? Contact [email protected]
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
u2if - USB to interfaces implementing MicroPython "machine" module functionalities on a computer.
starlette - The little ASGI framework that shines. 🌟
rosserial - A ROS client library for small, embedded devices, such as Arduino. See: http://wiki.ros.org/rosserial
quart - An async Python micro framework for building web applications.
ros2arduino - This library helps the Arduino board communicate with the ROS2 using XRCE-DDS.
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.