feat(browser): auto-commit con 178 cambios

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

python/functions/datascience/__init__.py

@@ -15,13 +15,69 @@ from .scrape_google_trends import scrape_google_trends
 from .scrape_competitor_prices import scrape_competitor_prices
 from .scrape_tiktok_creative import scrape_tiktok_creative
 from .scrape_aliexpress_trending import scrape_aliexpress_trending
+from .fetch_reddit_search import fetch_reddit_search
+from .fetch_hackernews_search import fetch_hackernews_search
+from .score_demand_signal import score_demand_signal
+from .pull_gsc_search_analytics import pull_gsc_search_analytics
+from .summarize_table_duckdb import summarize_table_duckdb
+from .describe_numeric import describe_numeric
+from .summarize_categorical import summarize_categorical
+from .infer_semantic_type import infer_semantic_type
+from .column_quality_score import column_quality_score
+from .render_eda_markdown import render_eda_markdown
+from .detect_distribution_type import detect_distribution_type
+from .spearman_corr import spearman_corr
+from .cramers_v import cramers_v
+from .theils_u import theils_u
+from .correlation_ratio import correlation_ratio
+from .mutual_info_columns import mutual_info_columns
+from .infer_fk_containment_duckdb import infer_fk_containment_duckdb
+from .build_join_graph import build_join_graph
+from .association_matrix import association_matrix
+from .correlation_matrix_duckdb import correlation_matrix_duckdb
+from .pca_explained import pca_explained
+from .kmeans_segments import kmeans_segments
+from .isolation_forest_outliers import isolation_forest_outliers
+from .normality_tests import normality_tests
+from .trend_slope import trend_slope
+from .run_eda_models import run_eda_models
+from .eda_llm_insights import eda_llm_insights
+from .build_eda_notebook import build_eda_notebook
 
 __all__ = [
+    "summarize_table_duckdb",
+    "spearman_corr",
+    "cramers_v",
+    "theils_u",
+    "correlation_ratio",
+    "mutual_info_columns",
+    "infer_fk_containment_duckdb",
+    "build_join_graph",
+    "association_matrix",
+    "correlation_matrix_duckdb",
+    "pca_explained",
+    "kmeans_segments",
+    "isolation_forest_outliers",
+    "normality_tests",
+    "trend_slope",
+    "run_eda_models",
+    "eda_llm_insights",
+    "build_eda_notebook",
+    "describe_numeric",
+    "summarize_categorical",
+    "infer_semantic_type",
+    "column_quality_score",
+    "render_eda_markdown",
+    "detect_distribution_type",
+    "pull_gsc_search_analytics",
     "scrape_amazon_bestsellers",
     "scrape_google_trends",
     "scrape_competitor_prices",
     "scrape_tiktok_creative",
     "scrape_aliexpress_trending",
+    "fetch_reddit_search",
+    "fetch_hackernews_search",
+    "score_demand_signal",
     "pearson",
     "standardize",
     "min_max_scale",