feat: add Hacktoberfest contributions visualization (bar + cumulative)

Python/hacktober_data.py

@@ -0,0 +1,60 @@
+#!/usr/bin/env python3
+#hacktoberfest contributions visualization - Golixco
+"""
+Simple Hacktoberfest contributions visualization
+
+This script simulates daily contribution counts for a month (e.g. October)
+and plots a bar chart for daily contributions plus a cumulative line so you
+can see progress over the month. Replace the simulated data with real data
+if you want to visualize your actual contributions.
+"""
+import numpy as np
+import matplotlib.pyplot as plt
+from datetime import datetime
+
+# reproducible pseudo-random demo data
+np.random.seed(42)
+
+# choose the month and year to label the chart (you can change these)
+year = 2025
+month = 10  # October (Hacktoberfest)
+
+# number of days (simple approach, assume 31 days for the demo)
+days = np.arange(1, 32)
+
+# simulate daily contributions: mostly small numbers but occasional spikes
+daily = np.random.poisson(lam=1.8, size=len(days))
+# add a few spikes to simulate PR/issue events on certain days (human-like touch)
+daily[[3, 10, 18, 24]] += np.array([2, 3, 4, 2])
+
+# cumulative contributions
+cum = np.cumsum(daily)
+
+# create figure (single plot)
+fig, ax = plt.subplots(figsize=(11, 5))
+
+# bar chart for daily contributions
+ax.bar(days, daily)
+
+# overlay cumulative as a line on the same axes (make it visible without custom colors)
+ax.plot(days, cum, marker='o')
+
+# labels and title
+ax.set_xlabel("Day of October")
+ax.set_ylabel("Number of contributions")
+ax.set_title("Simulated Hacktoberfest Contributions — Daily & Cumulative")
+
+# small tidy-up for ticks and grid
+ax.set_xticks(days[::2])  # show every other day to avoid clutter
+ax.grid(axis='y', linestyle='--', linewidth=0.5, alpha=0.6)
+
+# annotate last cumulative value (small human-style touch)
+last_val = cum[-1]
+ax.annotate(f"Total: {last_val}", xy=(days[-1], last_val),
+            xytext=(-60, 10), textcoords="offset points")
+
+# save and show
+plt.tight_layout()
+plt.savefig("hacktoberfest_contributions.png")
+print("Saved plot to hacktoberfest_contributions.png")
+plt.show()