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panel | black | |
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38 | 321 | |
4,004 | 37,144 | |
6.4% | 2.9% | |
9.9 | 9.5 | |
about 24 hours ago | 7 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" 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.
panel
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panel VS solara - a user suggested alternative
2 projects | 13 Oct 2023
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What python library you are using for interactive visualisation?(other than plotly)
https://panel.holoviz.org/ It's a web app framework for Python similar to what Dash does for plotly. It plays nicely with bokeh visuals and I think the front-end is built using bokeh css elements.
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FastAPI, Panel and Bokeh
I'm following the Panel FastAPI example here: https://github.com/holoviz/panel/blob/main/examples/apps/fastApi/main.py
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How to approach GIS and which language to use
If you want to build Python dashboards, look at the solara (react-style lib, https://solara.dev/) and panel (https://panel.holoviz.org/).
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Ask HN: Fastest way to turn a Jupyter notebook into a website these days?
My suggestion is https://panel.holoviz.org/
Fully open sourced, makes it easy to make reactive apps with small changes, can even configured as a graphical REPL.
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Updating a page with MQTT
I am doing something like this in a [panel](https://panel.holoviz.org/) dashboard, which I am currently converting to nicegui. Maybe I can provide an example in some days.
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Mercury – Turn Python Notebooks to Web Apps
Ill have to check it out and see how it compares to voilà and holoviz panel. What I like about Holoviz panel is you can create a data web app from code that resides in a notebook or create a completely standalone app from just plain py scripts, and it supports many different visualization backends. I have found it to be the more flexible and generalizable data web app framework among the others I have come across (like Voilà, Dash, Plotly, and Streamlit).
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4 Streamlit Alternatives for Building Python Data Apps
Like the previous three alternatives, Panel is an open-source Python library for creating interactive dashboard web apps. Panel is extremely flexible, allowing you to use any plotting library you like. Like Gradio but unlike Streamlit, you can use Panel in Jupyter notebooks. Panel dashboards can also be deployed as standalone web apps, but like Plotly Dash, you'll need to set up a server to deploy it yourself.
- Sunday Daily Thread: What's everyone working on this week?
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I've updated the README of Panel. Let me know what you think. Thanks.
I've contributed an update to the README in attempt to better explain the WHY and WHAT of Panel.
black
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Enhance Your Project Quality with These Top Python Libraries
Black: Known as “The Uncompromising Code Formatter”, Black automatically formats your Python code to conform to the PEP 8 style guide. It takes away the hassle of having to manually adjust your code style.
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Uv: Python Packaging in Rust
black @ git+https://github.com/psf/black
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Let's meet Black: Python Code Formatting
In the realm of Python development, there is a multitude of code formatters that adhere to PEP 8 guidelines. Today, we will briefly discuss how to install and utilize black.
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Show HN: Visualize the Entropy of a Codebase with a 3D Force-Directed Graph
Perfect, that worked, thank you!
I thought this could be solved by changing the directory to src/ and then executing that command, but this didn't work.
This also seems to be an issue with the web app, e.g. the repository for the formatter black is only one white dot https://dep-tree-explorer.vercel.app/api?repo=https://github...
- Introducing Flask-Muck: How To Build a Comprehensive Flask REST API in 5 Minutes
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Embracing Modern Python for Web Development
Ruff is not only much faster, but it is also very convenient to have an all-in-one solution that replaces multiple other widely used tools: Flake8 (linter), isort (imports sorting), Black (code formatter), autoflake, many Flake8 plugins and more. And it has drop-in parity with these tools, so it is really straightforward to migrate from them to Ruff.
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Releasing my Python Project
1. LICENSE: This file contains information about the rights and permissions granted to users regarding the use, modification, distribution, and sharing of the software. I already had an MIT License in my project. 2. pyproject.toml: It is a configuration file typically used for specifying build requirements and backend build systems for Python projects. I was already using this file for Black code formatter configuration. 3. README.md: Used as a documentation file for your project, typically includes project overview, installation instructions and optionally, contribution instructions. 4. example_package_YOUR_USERNAME_HERE: One big change I had to face was restructuring my project, essentially packaging all files in this directory. The name of this directory should be what you want to name your package and shoud not conflict with any of the existing packages. Of course, since its a Python Package, it needs to have an __init__.py. 5. tests/: This is where you put all your unit and integration tests, I think its optional as not all projects will have tests. The rest of the project remains as is.
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Lute v3 - installed software for learning foreign languages through reading
using pylint and black ("the uncompromising code formatter")
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Testing Python Code Using UnitTest
It was with this test that I made that I was able to test my parse_md function, previously called check_md_and_write, and locate a bug that I uncovered a last week. I noticed this bug when I was using the linter, Ruff, and formatter, Black, I set up for my project. If you're interested in reading about the linter and formatter I chose and the setup process you can read last week's blog. Essentially the problem was that I could not parse any Markdown in my program. I wasn't sure what the problem was, but I think it had something to do with when I refactored my code and tried to clean things up. Luckily, I still has the branches where I worked on improved the function to parse markdown and the refactoring branch. To make note of it, I made an issue for myself and specified which branches to take a look at.
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FastAPI Production Setup Guide 🏁⚡️🚀
Whenever I start a new project I like to maintain quality standards and using automated quality tools makes it easy. Lets go ahead and install mypy for static type checking, black for formatting, and ruff for linting. Add these to the dev dependencies.
What are some alternatives?
autopep8 - A tool that automatically formats Python code to conform to the PEP 8 style guide.
prettier - Prettier is an opinionated code formatter.
yapf - A formatter for Python files
Pylint - It's not just a linter that annoys you!
ruff - An extremely fast Python linter and code formatter, written in Rust.
isort - A Python utility / library to sort imports.
streamlit - Streamlit — A faster way to build and share data apps.
autoflake - Removes unused imports and unused variables as reported by pyflakes
Flake8 - flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.
pycodestyle - Simple Python style checker in one Python file
mypy - Optional static typing for Python
dash - Data Apps & Dashboards for Python. No JavaScript Required.