Word Cloud
Cloud Computing Terms
Cloud infrastructure and services
Output
Python
import matplotlib.pyplot as plt
from wordcloud import WordCloud
text = """AWS Azure Google Cloud Platform Serverless Lambda Functions
EC2 S3 RDS DynamoDB CloudFront Route53 VPC IAM CloudFormation
Kubernetes Docker Containers Microservices API Gateway Load Balancer
Auto Scaling High Availability Disaster Recovery Backup Snapshot
DevOps CI CD Pipeline Jenkins GitLab Actions Terraform Ansible
Monitoring Logging CloudWatch Prometheus Grafana Datadog NewRelic
Cost Optimization Reserved Instances Spot Instances Multi Cloud Hybrid"""
def blue_cyan(word, font_size, position, orientation, random_state=None, **kwargs):
colors = ['#276CF5', '#3b82f6', '#60a5fa', '#27D3F5', '#06b6d4']
return colors[hash(word) % len(colors)]
wordcloud = WordCloud(
width=1000, height=600,
background_color='#0a0a0f',
color_func=blue_cyan,
max_words=75,
max_font_size=100,
min_font_size=12,
relative_scaling=0.5
).generate(text)
fig, ax = plt.subplots(figsize=(10, 6), facecolor='#0a0a0f')
ax.imshow(wordcloud, interpolation='bilinear')
ax.axis('off')
ax.set_title('Cloud Computing', color='#60a5fa', fontsize=16, fontweight='bold', pad=10)
plt.tight_layout(pad=1)
plt.show()
Library
Matplotlib
Category
Text Visualization
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