Preply
Duolingo
Italki
Babbel
Busuu
TalkPal
Cambly
ELSA Speak
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
PreplyPlotly 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, Preply should be more popular than Plotly. It has been mentiond 84 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.
There are a lot of articles out there on making gradient-bordered buttons, but the ones I read do not provide a production-grade solution. At Preply, we needed to have a partially transparent background button with rounded corners, and with gradient border. We need to get it in our Design System, to think about a React Native solution. I know this article is long, but it includes the links to all the resources I... - Source: dev.to / almost 3 years ago
Preply is a Ukrainian-run tutor platform that is awesome. I have a tutor for Ukrainian language on there and he’s quite affordable and really good at what he does. Highly recommend the platform, feel free to DM me if you’re interested in my particular tutor (I’m sure the other Ukrainian tutors on there are great, too). Source: about 3 years ago
You could try to teach on Preply maybe? Source: about 3 years ago
Sharetown.com 2. drivevinty.com / driveshare.com 3. sharegrid.com 4. acx.com 5. cambly.com / preply.com. Source: about 3 years ago
You could try online lessons e.g. Preply. I'v never used it myself, but heard only good things from a colleague at work. Source: over 3 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 / 6 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 / almost 2 years 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
Duolingo - Duolingo is a free language learning app for iOS, Windows and Android devices. The app makes learning a new language fun by breaking learning into small lessons where you can earn points and move up through the levels. Read more about Duolingo.
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.
Italki - italki is a language learning social network that connects students and language teachers.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Babbel - Babbel is a paid language learning service that aims to strike a balance between thoroughness and cost efficiency.
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.