Programming Language Career Analysis

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(42)

languages = ['Python', 'JavaScript', 'TypeScript', 'Rust', 'Go']
job_demand = np.array([95, 92, 88, 72, 78])
learning_curve = np.array([92, 85, 78, 55, 72])
salary_premium = np.array([88, 82, 85, 95, 90])
err = np.array([3, 4, 5, 6, 5])

fig, ax = plt.subplots(figsize=(10, 6), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

x = np.arange(len(languages))
width = 0.25

ax.bar(x - width, job_demand, width, yerr=err, label='Job Demand',
       color='#27D3F5', edgecolor='white', linewidth=1.5, capsize=4,
       error_kw={'ecolor': '#374151', 'elinewidth': 1.5})
ax.bar(x, learning_curve, width, yerr=err, label='Ease of Learning',
       color='#6CF527', edgecolor='white', linewidth=1.5, capsize=4,
       error_kw={'ecolor': '#374151', 'elinewidth': 1.5})
ax.bar(x + width, salary_premium, width, yerr=err, label='Salary Premium',
       color='#F5B027', edgecolor='white', linewidth=1.5, capsize=4,
       error_kw={'ecolor': '#374151', 'elinewidth': 1.5})

ax.set_xlabel('Programming Language', fontsize=12, color='#374151', fontweight='600')
ax.set_ylabel('Score', fontsize=12, color='#374151', fontweight='600')
ax.set_title('Programming Language Career Analysis', fontsize=15, 
             color='#1f2937', fontweight='bold', pad=20)

ax.set_xticks(x)
ax.set_xticklabels(languages, fontsize=11)
ax.legend(facecolor='#ffffff', edgecolor='#e5e7eb', fontsize=10)
ax.tick_params(colors='#6b7280', labelsize=10)
ax.set_ylim(40, 105)
ax.grid(True, axis='y', alpha=0.4, color='#e5e7eb')
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_color('#d1d5db')
ax.spines['bottom'].set_color('#d1d5db')

plt.tight_layout()
plt.show()