In

Interactive Exercises for Python Regular Expressions

Hacker News

Interactive Exercises for Python Regular Expressions

This new version is a TUI app built with Textual. Previous one was written using `tkinter` [0] and covered only four of the `re` functions. Now, any valid Python expression is accepted as a solution. There are more than 100 exercises covering both the builtin `re` module and the third-party `regex` module. These exercises have been adapted from my Understanding Python re(gex)? ebook [1] (free to read online, and PDF/EPUB versions are free till the end of this month). See [2] for a video demo. I'd appreciate your feedback, happy learning :) [0] https://news.ycombinator.com/item?id=29391107 [1] https://github.com/learnbyexample/py_regular_expressions [2] https://youtu.be/0oXPeF8HutQ

Share card

Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
70%70% 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
55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: video, month · Missing: mobile apps, ios, personal
53%53% 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
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new, using · Missing: mac, agents, macos
10%10% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

In
Interactive Exercises for Python Regex58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Interactive Exercises for Python Regex

Hacker News2
In
Interactive TUI App for Python Regex Exercises50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Interactive TUI App for Python Regex Exercises

Hacker News2
In
Interactive exercises for GNU grep, sed and awk65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Interactive exercises for GNU grep, sed and awk

Hacker News4
In
Interactive maths exercises54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Interactive maths exercises

Hacker News1
Py
Python exercises, all from someone self-taught66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Python exercises, all from someone self-taught

Hacker News4
Im
Improve your Python regex skills with 75 interactive exercises60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Improve your Python regex skills with 75 interactive exercises

Hacker News175
Pa
Paroxython - recommend Python exercises based on algorithmic features59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Paroxython - recommend Python exercises based on algorithmic features

Hacker News4
TextWorkouts
TextWorkouts40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Snackable Exercises, Texted

Indie Hackers1health-fitness
Le
Learn Regular Expressions with simple, interactive exercises61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Learn Regular Expressions with simple, interactive exercises

Hacker News144
In
Interactive Audio with Python and Jupyter52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Interactive Audio with Python and Jupyter

Hacker News2