
Frontend Masters
Egghead
GitHub Student Developer Pack
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Treehouse
CSS-Tricks
Scrimba
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
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Frontend Masters
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, Frontend Masters should be more popular than Plotly. It has been mentiond 94 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.
In my quest to deep dive into the building blocks of Frontend Engineering, I recently took a course on Frontend Masters titled Vanilla JavaScript: You might not need a Framework by Maximiliano Firtman on Frontend Masters. It's a cool course that you should totally check out. - Source: dev.to / 10 months ago
Frontend Masters Top-tier courses, especially for advanced frontend and JS. - Source: dev.to / about 1 year ago
Frontend Masters offers several React courses that, while not game-specific, provide deep dives into animation, state management, and performance optimizationโall critical for game development. - Source: dev.to / about 1 year ago
For those seeking deeper, more comprehensive training, Frontend Masters offers professional-grade courses taught by industry experts and open-source maintainers. - Source: dev.to / about 1 year ago
I'm in a coding session with a recruiter soon to show off my front-end skills. The truth is, I haven't coded front-end in a while and am out of date with industry best practices. What's a good way to as quickly as possible relearn this? I have about 4 years of software dev experience, mostly back-end. In my first year it was mostly front-end (in React). I was wondering if something like [1] would help. But I just... - Source: Hacker News / about 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
Egghead - Learn the best JavaScript tools and frameworks from industry pros. Video tutorials for badass web developers.
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.
GitHub Student Developer Pack - The best developer tools, free for students.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Codecademy - Learn the technical skills you need for the job you want. As leaders in online education and learning to code, weโve taught over 45 million people using a tested curriculum and an interactive learning environment.
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.