Question

What are the most important Python libraries for data science?

Answer 1

Based on what is offered here, The most important libraries are:

• Python Libraries for Data Collection
  • Beautiful Soup
  • Scrapy
  • Selenium
• Python Libraries for Data Cleaning and Manipulation
  • Pandas
  • PyOD
  • NumPy
  • Spacy
• Python Libraries for Data Visualization
  • Matplotlib
  • Seaborn
  • Bokeh
• Python Libraries for Modeling
  • Scikit-learn
  • TensorFlow
  • PyTorch
• Python Libraries for Model Interpretability
  • Lime
  • H2O
• Python Libraries for Audio Processing
  • Librosa
  • Madmom
  • pyAudioAnalysis
• Python Libraries for Image Processing
  • OpenCV-Python
  • Scikit-image
  • Pillow
• Python Libraries for Database
  • Psycopg
  • SQLAlchemy
• Python Libraries for Deployment
  • Flask