I

I wrote a book on Python regular expressions

Hacker News

I wrote a book on Python regular expressions

My book titled "Python re(gex)?" is free to download through this weekend [1][2] The book covers both 're' and 'regex' modules, has plenty of examples and chapters also have cheatsheets and exercises. Code snippets, exercises, sample chapters, etc are available on GitHub repo [3] I used pandoc+xelatex [4] to generate the pdf. [1] https://gumroad.com/l/py_regex [2] https://leanpub.com/py_regex [3] https://github.com/learnbyexample/py_regular_expressions [4] https://learnbyexample.github.io/tutorial/ebook-generation/customizing-pandoc/

Share card

Actual performance

193points
50comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
55%55% 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 HackersIH features products with proven revenue · Strong signals: latex · Missing: supports, reddit linkedin, podcasting
47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% 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
8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: code · Missing: mac, agents, macos
7%7% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

I
I wrote a book about Python76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I wrote a book about Python

Hacker News181
My
My self-pub book on Evolutionary Algorithms with Python (inc. sample)61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My self-pub book on Evolutionary Algorithms with Python (inc. sample)

Hacker News13
Fr
Free Interactive Python Book70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Free Interactive Python Book

Hacker News4
The Art of Python
The Art of Python15%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Art of Python book is a book to teach python

Product Hunt+14
Cu
CustomStringParser ( Python)54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CustomStringParser ( Python)

Hacker News1
Lu
Lusernews is an implementation of lamernews in python48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lusernews is an implementation of lamernews in python

Hacker News1
Do
Do/While in Python55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Do/While in Python

Hacker News4
Ga
Gatos, conCATenative functions for python54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Gatos, conCATenative functions for python

Hacker News1
A
A wrapper around datetime, pytz and tzlocal for Python 3.2+38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A wrapper around datetime, pytz and tzlocal for Python 3.2+

Hacker News1
Pa
Parallelizing word2vec in Python55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Parallelizing word2vec in Python

Hacker News3