10 Python One-Liners That Will Make Your Code Cleaner and Faster
Want to get things done while also being less wordy? Here, just below where you are reading right this very minute, are 10 Python one-liners that are practical and version-aware, with each showing an improvement over the typical multi-line alternatives. Get work done, and have seconds added back to your life since you won't be writing second, third or — *gasp!* — fourth line follow-ups to your impeccably typed line numero uno.
- ▪Want to get things done while also being less wordy?
- ▪Here, just below where you are reading right this very minute, are 10 Python one-liners that are practical and version-aware, with each showing an improvement over the typical multi-line alternatives.
- ▪Get work done, and have seconds added back to your life since you won't be writing second, third or — *gasp!* — fourth line follow-ups to your impeccably typed line numero uno.
KDnuggets files mainly under ai. We currently carry 87 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | KDnuggets |
| Canonical URL | https://www.kdnuggets.com/10-python-one-liners-that-will-make-your-code-cleaner-and-faster |
| Publication time | Thu, 01 Oct 2026 12:00:14 +0000 |
| Retrieval time | 2026-10-01T12:02:32.400Z |
| Last seen | 2026-10-01T12:02:32.400Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | YCEb_qYosLVL · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Sick of all the typing? Punching keys got you down? Want to get things done while also being less wordy? You've come to the right place. Here, just below where you are reading right this very minute, are 10 Python one-liners that are practical and version-aware, with each showing an improvement over the typical multi-line alternatives. Get work done, and have seconds added back to your life since you won't be writing second, third or — *gasp!* — fourth line follow-ups to your impeccably typed line numero uno. Note that, while it is a single line doing the work in each instance, a few assumptions are needed. First, examples 2, 6, 9, and 10 assume import itertools, import functools, and from collections import Counter appear earlier in your script.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at KDnuggets.
Discussion
0 commentsMore from KDnuggets
