Libraries

Libraries are collections of programming code and/or data.

Data Mining

  • BeautifulSoup - building web crawlers and data scrapers

  • Scrapy - building web crawlers and data scrapers

Data Processing and Modeling

  • Keras - building neural networks and modeling

  • LangChain - modular and extensible architecture that enables developers to build, deploy, and manage LLM-based applications with ease.

  • NumPy - scientific computing and advanced array operations

  • Pandas - manipulating and analyzing data

  • PyTorch - deep learning framework

  • SciKit-Learn - specific functionalities such as image processing

  • SciPy - mathematics, science and engineering

  • TensorFlow - machine learning and deep learning

  • XGBoost - gradient boosting for parallel tree models

Data Visualization

  • Matplotlib - two-dimensional diagrams and graphs

  • Plotly - web-based data visualization

  • Seaborn - visualizing statistical models

General Processing

Reference