Useful Python libraries

Python is an accessible programming language that makes it easy to dive into the world of data analytics. The following python libraries cater various aspects of data analysis:

• Data Manipulation: transform and clean data
  • Pandas
  • NumPy
  • Polars
  • Comparison of Pandas and Polars: https://kevinheavey.github.io/modern-polars/
• Data Visualization: bring your data to life
  • Matplotlib
  • Seaborn
  • Plotly
• Statistical Analysis: dive deep into statistical methods
  • SciPy
  • Statsmodels
  • PyMC3
• Time Series Analysis: analyze and forecast time series data
  • Prophet
  • Sktime
  • Darts
• Database Operations: handle large datasets efficiently
  • Dask
  • PySpark
  • Hadoop
• Web Scraping: gather data from the web
  • Beautiful Soup
  • Scrapy
  • Selenium
• Natural Language Processing: unlock the power of text data
  • NLTK
  • spaCy
  • BERT
• Machine Learning: build predictive models and uncover patterns
  • TensorFlow
  • scikit-learn
  • PyTorch