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Eloquent JavaScript
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.
Based on our record, Eloquent JavaScript should be more popular than Plotly. It has been mentiond 218 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.
If you havenโt read Eloquent JavaScript , go check it out. Itโs one of my all-time favourite programming books โ hands down. - Source: dev.to / 9 months ago
Videos, blogs, text-based teachings, YouTube project-based learning, books, and the like are all examples of various methods and mediums of acquiring skills, especially in the software engineering industry. As I continue to navigate this challenge, I've made major changes, one being that I will now document the journey, and the other, I switched to reading books on JavaScript. I currently use the book ELOQUENT... - Source: dev.to / over 1 year ago
Seconded. I won't recommend it and no one I know has recommended it for a decade. It's hard for someone who doesn't know JS to know which parts has changed and is no longer the way to do things. https://github.com/getify/You-Dont-Know-JS are the 2 best source for learning JS. If you don't have time to read both, just go with https://eloquentjavascript.net/ If one needs to go further, go through... - Source: Hacker News / almost 2 years ago
> Do you have any tip for learning js at it's fundamentals? I would recommend: - https://eloquentjavascript.net/ - https://javascript.info/. - Source: Hacker News / almost 2 years ago
Eloquent JavaScript is a free online book by Marijn Haverbeke. It's a great resource for learning JavaScript from scratch, with a focus on writing clean and effective code. - Source: dev.to / almost 2 years 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
VS Code - Build and debug modern web and cloud applications, by Microsoft
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.
CodePen - A front end web development playground.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
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.