bokeh
microblog
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bokeh | microblog | |
---|---|---|
24 | 220 | |
18,839 | 4,425 | |
1.1% | - | |
9.5 | 2.3 | |
about 6 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.
bokeh
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Bokeh - Interactive Web Plotting for Python.
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Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/bokeh/bokeh
- Bokeh Python Library for Interactive Visualizations
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Best data visualisation library
If you don’t mind passing html around this library allows you to share full interactive plot:
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Emerging Rust GUI libraries in a WASM world
It sounds like you want BokehJS. It was one of the alternatives I was recommended while I was exploring, but for various reasons my particular use case is not so easy to integrate (plus my backend was already in Rust).
https://github.com/bokeh/bokeh
I did do a basic test, and the raw rects-on-screen performance is roughly comparable to my final solution.
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What Python modules can I use to create my own indicators? Like the indicator below, I very new to Python so please don’t be rude
I just came across this: https://bokeh.org/
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Interactive plots
Take a look at Bokeh. https://bokeh.org/
- December goals
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[OC] The Criminal Podcast's intros have gotten longer over time
I recorded all 200 "I'm Phoebe Judge, this is Criminal" intros from the Criminal podcast, measured the length, and plotted using python's Bokeh package.
- What's the most scalable visualization library?
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?
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
flask-app-tutorial - Project for how to create a flask web application.
seaborn - Statistical data visualization in Python
build-a-saas-app-with-flask - Learn how to build a production ready web app with Flask and Docker.
Altair - Declarative statistical visualization library for Python
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
matplotlib - matplotlib: plotting with Python
CS50x-2021 - 🎓 HarvardX: CS50 Introduction to Computer Science (CS50x)
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
flasky - Companion code to my O'Reilly book "Flask Web Development", second edition.
folium - Python Data. Leaflet.js Maps.
kivy - Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS