An interactive data viz cookbook built with PyScript and Pyodide

Hacker News

Hi everyone, I've been working with PyScript these past days. I believe it has the potential to be a very powerful learning tool, so I've been working on creating interactive cookbooks/cheat sheets that people can use as a reference when learning how to use popular Python libraries. You can get the code or contribute here: https://github.com/dylanjcastillo/python-dataviz-cookbook/ Or check another interactive cheat sheet I made: https://pandas.dylancastillo.co/

Visit product View on Hacker NewsSep 9, 2022

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Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released

80%80% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: code · Missing: mac, agents, macos

36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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