Readwise
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Readwise
PlotlyPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
I imported my kindle highlights, as many others. Now I daily review some highlights (thanks to a dashboard, I am motivated). And where I didn't create highlights, as I only listened to the audiobooks, I get the highlights from others. It also allows to create beautiful quotes. It adds the book cover and matches quote and background with colours found on the book title! Really nice!
Based on our record, Readwise should be more popular than Plotly. It has been mentiond 88 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.
Anyway, as I reached the end of the chapter, I wanted to read my Readwise's daily recap. However, my iPhone was in other room. I didnโt want to get up; I was tired. - Source: dev.to / 28 days ago
The only highlights that Readwise retrieves semi-automatically are from the books I buy from Kindle, by going into the Readwise app and clicking a button. If I upload them to Kindle or need highlights from the Apple Books app, I have to open the book, go to my highlights, select them all, and then email them to a Readwise email address. - Source: dev.to / over 1 year ago
Readwise also has this feature. I get a daily email with a random assortment of highlights that have been pulled in from multiple sources (Reader, Notion, Kindle, etc.) The product benefit in their case is that it's kind of like Zapier, but for notes. https://readwise.io/. - Source: Hacker News / over 1 year ago
Go to readwise.io and create an account if you don't already have one. - Source: dev.to / over 1 year ago
Sign up for a Readwise account if you haven't already readwise.io. - Source: dev.to / over 1 year ago
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year 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 / about 2 years ago
Raindrop.io - All your articles, photos, video & content from web & apps in one place.
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Instapaper - Instapaper is a simple tool to save web pages for reading later.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Obsidian.md - A second brain, for you, forever. Obsidian is a powerful knowledge base that works on top of a local folder of plain text Markdown files.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.