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Based on our record, DuckDuckGo: Bang should be more popular than Plotly. It has been mentiond 198 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
And when you do need google, you can always just add `!g` to your search query. There are a bunch of other useful ones [0], my favorite is probably `!w` [0] https://duckduckgo.com/bangs. - Source: Hacker News / about 1 month ago
Check out https://duckduckgo.com/bangs you can dump into pretty much any site, Wikipedia, YouTube, Spotify, Google Translate from the DDG search bar if you have a few favorite bangs memorized. You can put the ! anywhere in the query for it to be picked up as well. - Source: Hacker News / about 2 months ago
Seriously, I'm surprised at how many devs haven't seen DuckDuckGo's bangs: https://duckduckgo.com/bangs I use them all the time for work. !mdn for MDN, !dnab for .NET, !npm for NPM, !py3 for Python3 docs, !debman for Debian Manpages, !w for Wikipedia, !a for Amazon, !g for Google when you really need it. I'm not affiliated with DDG; I just really, really love it. - Source: Hacker News / 5 months ago
I think everyone in the thread knows about "search engines" in Chrome and bookmark keywords in Firefox. The crux of the issue is that there are more than 10,000 bang commands in DDG. Setting up even a popular subset in any given browser is a significant investment. It's fine if it's the browser you use 99% of the time, but for those spanning multiple computers, phones, and other devices, simply using bang... - Source: Hacker News / 6 months ago
Where is the place to add personal bangs to DuckDuckGo? I can't find it in https://duckduckgo.com/bangs or https://duckduckgo.com/settings. - Source: Hacker News / 6 months ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 14 days ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 7 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: about 1 year ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: over 1 year ago
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