# lusouldepth-ai/FDE_Learning

> A local Python web app for Tencent Cloud FDE exam prep: 1000 original questions with chapter filtering, explanations, mistake tracking and spaced repetition.

- Magnitude: 5.6 out of 10 — Early signal
- Stars: 136 total · +6 stars measured 2026-10-23, 00:00–01:19 UTC, ≈ 120 by evening
- Star trust: star growth looks organic
- Category: Learning & lists · Language: Python · Created: 2026-10-21 · Last push: 2026-10-21
- GitHub: https://github.com/lusouldepth-ai/FDE_Learning · Page: https://gitnova.dev/en/r/lusouldepth-ai/FDE_Learning

## Useful for

- Start the local server and take a 25-minute short practice of 15 questions
- Filter questions by chapter and review answers with source links
- Track wrong answers and repeat them on a spaced-repetition schedule

## Why it’s here

- Star-counter measurements on 2026-10-23 (UTC), 00:00–01:19: 130 → 136 stars (+6). This is the change over that interval.
- Estimated end-of-day forecast: about +120 stars, using observed gains and the previous day.
- The repository is 2 days old and already has 136 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #165.
- About 26 forks a day — people are taking the code.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 22
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 86 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 5

## Stars per day, last 3 days (oldest → newest, today is partial)

2026-10-21 … 2026-10-23: 15, 123, 6

## Magnitude by day, last 2 days

10-22 2.1, 10-23 5.6

## Spotted in now

- Top new repositories this week: #165

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-23 01:29 UTC, updated every 30 minutes.