Browsing: Analytics

In this tutorial, we explore EdgeBench as a practical benchmark for evaluating advanced AI agents across diverse task categories, runtime environments, and interaction-time budgets. We begin…

, someone at work brings up a version of this question: is AI going to take my job? I’ll admit that I have asked some version…

base_g = ( graphistry .bind(source=”src”, destination=”dst”, node=”id”) .edges(edges_df) .nodes(nodes_df) .bind( edge=”edge_id”, edge_title=”edge_title”, edge_label=”edge_label”, edge_weight=”event_count”, edge_size=”edge_size”, point_title=”point_title”, point_label=”label”, point_color=”node_color”, point_size=”node_size”, point_x=”x”, point_y=”y” ) .settings(url_params={“play”: 0, “info”: “true”})…

, I started my first ever full-time job as a Senior Data Analyst at a leading health insurance company right after completing my graduate school, bringing…

df[“domain”] = df[“url”].apply(lambda u: urlparse(u).netloc.replace(“www.”, “”) if isinstance(u, str) else “?”) top_domains = df[“domain”].value_counts().head(15) print(“\n— Top 15 domains in sample —“) print(top_domains) fig, axes = plt.subplots(2,…

Introduction an agentic AI network for my company that advises manufacturing plants on how to mature their operations. The system was designed to be data-driven, allowing…

print(“\n” + “=”*70 + “\n SECTION 6 — NetworkX analytics\n” + “=”*70) def kg_to_networkx(graph): G = nx.MultiDiGraph() for e in graph.entities: G.add_node(e) for s, p, o…

import subprocess, sys subprocess.check_call([sys.executable, “-m”, “pip”, “install”, “-q”, “datashader”, “colorcet”, “numba”, “scipy”]) import numpy as np import pandas as pd import datashader as ds import datashader.transfer_functions…

isn’t about tech specs. It’s about thinking like a business. Consider it the blueprint for your entire analytics house. If the blueprint’s chaotic, your house crumbles.…

In this tutorial, we build a comprehensive, hands-on understanding of DuckDB-Python by working through its features directly in code on Colab. We start with the fundamentals…