Python challenge ladder
103 challenges
Pick a challenge, solve it in the browser, keep the points.
Agent data work: filtering feeds, grouping records, parsing tool calls, token budgets, chunking, and building the report.
Medium — 36 challenges
loading…| Challenge | Solved by | Points |
|---|---|---|
| 01Double a list of numbers | — | 10 pts |
| 02Filter issues by label | — | 15 pts |
| 03Keep only the open issues | — | 15 pts |
| 04Count issues by label | — | 15 pts |
| 05Group issues by assignee | — | 15 pts |
| 06Sort issues by priority | — | 15 pts |
| 07Take the newest N issues | — | 15 pts |
| 08Summarize one issue into a line | — | 15 pts |
| 09Build a markdown bullet list | — | 15 pts |
| 10Build a markdown table | — | 15 pts |
| 11Parse an ISO date | — | 15 pts |
| 12Issues from the last seven days | — | 15 pts |
| 13Label a reporting window | — | 15 pts |
| 14Find issue references in a commit message | — | 15 pts |
| 15Link commits to issues | — | 15 pts |
| 16Count commits per author | — | 15 pts |
| 17Remove duplicate issues | — | 15 pts |
| 18Merge two pages of results | — | 15 pts |
| 19Split a list into pages | — | 15 pts |
| 20Read a nested field safely | — | 15 pts |
| 21Parse a tool call payload | — | 15 pts |
| 22Check the required arguments | — | 15 pts |
| 23Coerce tool argument types | — | 15 pts |
| 24Build a tool result | — | 15 pts |
| 25Estimate a token count | — | 15 pts |
25 of 36 shown