Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
CheckIO
Codewars
Exercism
CodinGame
LeetCode
CodeCombat
HackerRank
Google's Python Class
Plotly 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.
CheckIO might be a bit more popular than Plotly. We know about 46 links to it since March 2021 and only 34 links to Plotly. 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.
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
Have you heard of CheckIO (https://checkio.org/)? They have a gameified "Mario world" of coding challenges that are smaller and come with more explanation, tests to guide you through edge cases and provide hints. The challenges start from total beginner and progress to more advanced. And best of all, after you solve a problem they show you what other people do. I highly recommend this for you. Also consider... Source: over 2 years ago
Cyber isn't gonna be a light switch, where you can flip it and be good. Don't be too hard on yourself. Start with some hands on stuff like https://tryhackme.com or checkio.org. You could look at certs like Security+ or CySA+ for some direction. It took me years to get into cybersecurity, and I still don't feel like I know anything. Source: about 3 years ago
Much better to get your hands dirty than watching the videos. Try: https://checkio.org/. Source: over 3 years ago
When I was first learning python I like using https://checkio.org/ Checkio provides programming problems in a gamified environment. After you have solved a problem you can see how others have solved the problem. This really accelerated my learning. Source: over 3 years ago
Look at checkio.org. Range of problems to solve ('missions') When you do you can see how others solved them too which ids very instructive. Source: over 3 years ago
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.
Codewars - Achieve code mastery through challenge.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Exercism - Download and solve practice problems in over 30 different languages.
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.
CodinGame - CodinGame provides users with a fun and effective way to learn coding that eschews the rigid structure of traditional teaching methods.