Design Pitfalls
HackDesign
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Plotly
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Based on our record, Plotly should be more popular than Design Pitfalls. It has been mentiond 29 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.
I found Design for Hackers[1] to be an incredibly informative book; it provides a great deal of insight into UI patterns, color schemes and selections, and overall UI design. It's definitely more oriented towards graphical UIs but provides enough general insight into design considerations that you could generalize it for TUIs and CLIs if needed. [1]: https://designforhackers.com/. - Source: Hacker News / 5 months ago
Looking at what other people are saying and your responses, it sounds like your actual question is more like "is it possible that I'll end up doing (stuff I'm not practiced at)?", which, maybe! Maybe you'll get hired at a smaller place than you expect, and will be doing more design work than you planned. Maybe you'll want to be able to explain to the designers that you can't do X because Y, but you can suggest Z... Source: over 1 year ago
Try these: https://designforhackers.com/ https://www.interaction-design.org/. - Source: Hacker News / over 1 year ago
Sounds like you want to learn more about design. Checkout Design for Hackers and The Non Designer's Design Book for some design fundamentals. Source: about 2 years ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 5 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: 11 months ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: 12 months ago
I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: about 1 year ago
Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago
HackDesign - Newsletter that teaches you design via 50 curated courses
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.
Built for Mars - A collection of UX case studies
Chart.js - Easy, object oriented client side graphs for designers and developers.
Design Courses Tab - Discover free design courses in your browser's new tab
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
