Word Cloud
Tech Stack Cloud
Programming languages and technologies word cloud
Output
Python
import matplotlib.pyplot as plt
from wordcloud import WordCloud
import numpy as np
text = """Python Python Python Python JavaScript JavaScript JavaScript
React React React TypeScript TypeScript Node Node Django Django Flask
Docker Docker Kubernetes AWS AWS Azure PostgreSQL MongoDB Redis
GraphQL REST API Machine Learning Deep Learning TensorFlow PyTorch
Git GitHub CI/CD DevOps Agile Scrum Linux Bash Shell"""
def neon_color_func(word, font_size, position, orientation, random_state=None, **kwargs):
colors = ['#27D3F5', '#6CF527', '#F5B027', '#F5276C', '#4927F5']
return colors[hash(word) % len(colors)]
wordcloud = WordCloud(
width=1000, height=600,
background_color='#0a0a0f',
color_func=neon_color_func,
max_words=100,
max_font_size=120,
min_font_size=12,
relative_scaling=0.5,
prefer_horizontal=0.7
).generate(text)
fig, ax = plt.subplots(figsize=(10, 6), facecolor='#0a0a0f')
ax.imshow(wordcloud, interpolation='bilinear')
ax.axis('off')
ax.set_title('Tech Stack', color='white', fontsize=16, fontweight='bold', pad=10)
plt.tight_layout(pad=1)
plt.show()
Library
Matplotlib
Category
Text Visualization
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