# 王大拿的AI编程课 (@46762434410) on douyin

- id: koinon:creator:douyin_46762434410
- url: https://koinonlink.com/kol/douyin/46762434410
- schema_version: 1.4

## Identity
- platform: douyin
- handle: 46762434410
- platform_url: https://www.douyin.com/user/MS4wLjABAAAA_dGdmbxqrEnfwPA0ElFGj6-T5y6P3jk-5XGENlB9ABdr537IRwbs5ZxMj2Ooo8uX
- country: China
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 29256
- following: 9
- posts_total: 261
- posts_observed: 3
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.01579
- best_post_interactions: 462
- measurement_source: cn_posts_max
- measurement_formula: likes + comments + shares (douyin) or likes + comments + collects (xiaohongshu), max over observed posts
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: devtools
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Python基础语法与陷阱, NumPy/Pandas数据分析, 爬虫与项目实战, Office自动化, 面试题与自查
- bio: 👉人工智能博士
👀每天20:00点直播聊Python
👉👉👉系统课在橱窗👈👈👈
完美解锁Python｜C｜C++｜Java | GO | 数据分析 | 爬虫 | 系统开发

## Audience (inferred)
- status: present
- description: Python beginners and students or new developers looking to switch careers or improve skills in the workplace
- roles: learner
- seniority: learner
- pain_points: Common pitfalls in Python basics, loops, and functions are easy to make, Difficulty getting started with NumPy/Pandas data analysis and slicing operations, Lack of hands-on experience with practical projects like web scraping and Office automation, Unclear about interview preparation questions and career direction in job hunting
- posts_analysed: 100
- confidence: 0.9

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.8
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 64
- authenticity_basis: engagement_observed
- credibility_score: 68
- flagged_for_review: false
- koinon_bd_grade: A — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [douyin_46762434410#d3532ba2] Python代码 | 下划线的小技巧，你肯定不知道 #知识分享 #涨知识 #python #编程 #原创视频 (https://www.douyin.com/user/MS4wLjABAAAA_dGdmbxqrEnfwPA0ElFGj6-T5y6P3jk-5XGENlB9ABdr537IRwbs5ZxMj2Ooo8uX)
- [douyin_46762434410#e72e7068] @王大拿的AI编程课创作的原声
- [douyin_46762434410#a668723e] 元组或列表解包
- [douyin_46762434410#ed1a18d5] for循环
- [douyin_46762434410#8bdb17bc] 函数返回值
- [douyin_46762434410#88131616] #知识分享 #涨知识 #python #编程 #原创视频
- [douyin_46762434410#9d0e1a1a] Python自查题库2025 | while循环的结果输出是什么？#每天跟我涨知识 #知识分享 #Python #编程 #代码
- [douyin_46762434410#330b7cac] 内存单元格分析

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.9, freshness_days=84, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=84, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=84, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=85, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=85, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=107, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.5, freshness_days=85, method=Starts at 60; interactions-per-follower on collected posts then adds or subtracts (large following with near-zero engagement is penalised heavily). — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=107, method=llm_partner_fit_classifier + authenticity >= 55 AND fit_score >= 0.45 => A; authenticity >= 40 AND fit_score >= 0.3 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=107, method=platform_profile

## Freshness
- profile_checked_days_ago: 107
- content_analysed_days_ago: 85
- audience_updated_days_ago: 84

## AI retrieval
- indexing_requests: 13
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=douyin_46762434410
- Request removal: https://koinonlink.com/claim?k=douyin_46762434410
- Terms: https://koinonlink.com/for-ai