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Python library

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By Team EasyExamNotes

Python libraries are ready-made code that developers can use to add specific functionalities to their programs without starting from scratch.

Some popular Python libraries across different domains:

1. Data Science and Machine Learning:

  • NumPy: Numerical computing with arrays and matrices.
  • pandas: Data manipulation and analysis.
  • scikit-learn: Machine learning algorithms and tools.
  • TensorFlow and PyTorch: Deep learning frameworks.
  • statsmodels: Statistical modeling and hypothesis testing.

2. Visualization and Plotting:

  • Matplotlib: Data visualization library.
  • Seaborn: Built on top of Matplotlib for enhanced data visualization.
  • Plotly: Interactive and web-based data visualization.
  • Bokeh: Interactive visualizations for web browsers.

3. Web Development:

  • Django and Flask: Web development frameworks.
  • FastAPI: Modern, fast web framework for building APIs.
  • Beautiful Soup and Scrapy: Web scraping and data extraction.

4. Natural Language Processing (NLP):

  • NLTK: Natural Language Toolkit for NLP.
  • SpaCy: Industrial-strength NLP library.
  • Gensim: Topic modeling and document similarity.

5. Database Interaction:

  • SQLAlchemy: SQL toolkit and Object-Relational Mapping (ORM) library.
  • pymysql and psycopg2: Python interfaces for MySQL and PostgreSQL databases.

6. GUI Development:

  • Tkinter: Standard GUI library included with Python.
  • PyQt and wxPython: Cross-platform GUI libraries.

7. Scientific Computing:

  • SciPy: Scientific computing library built on top of NumPy.
  • SymPy: Symbolic mathematics library.

8. Game Development:

  • Pygame: Game development library.
  • Godot Engine: Game engine with Python scripting support.

9. Network and Web Services:

  • Requests: HTTP library for making web requests.
  • Tornado and Twisted: Asynchronous networking libraries.

10. Cybersecurity:

  • Scapy: Packet manipulation tool for network security.
  • Paramiko: SSH protocol implementation for secure connections.

11. Data Analysis and Visualization:

  • RethinkDB: Real-time database designed for web and real-time applications.
  • Apache Cassandra: Distributed NoSQL database for handling large amounts of data.
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