Here’s a grouped and updated list of the Top Python Libraries, categorized by purpose, and includes some additional famous ones often used in real-world projects.

🧠 1. Data Science & Machine Learning

• NumPy – Numerical computations and array operations

• Pandas – Data manipulation and analysis

• Scikit-learn – Classical machine learning models and utilities

• TensorFlow – Deep learning framework by Google

• PyTorch – Deep learning framework by Meta (very popular!)

• Keras – High-level API for building neural networks (often used with TensorFlow)

• XGBoost – Gradient boosting for structured data (used in Kaggle competitions)

• LightGBM – Fast gradient boosting library by Microsoft

• CatBoost – Boosting library by Yandex (handles categorical data well)

• Theano (legacy) – Older deep learning library

📊 2. Data Visualization

• Matplotlib – Basic 2D plotting

• Seaborn – Statistical plots (built on Matplotlib)

• Plotly – Interactive, web-based plots

• Bokeh – Interactive visualizations for the web

• Altair – Declarative statistical visualization

• Dash – Web app framework for dashboards (built on Plotly)

🌐 3. Web Scraping & Networking

• Requests – Simplified HTTP requests

• Beautiful Soup – Parsing HTML/XML

• Scrapy – Powerful web scraping framework

• httpx – HTTP client with async support

💬 4. Natural Language Processing (NLP)

• NLTK – Foundational NLP tools

• spaCy – Fast, production-level NLP

• Gensim – Topic modeling & word vectors (Word2Vec, LDA)

• Transformers (by Hugging Face) – State-of-the-art language models (BERT, GPT, etc.)

🎮 5. Game Development

• Pygame – Game development and multimedia

🧪 6. Scientific Computing

• SciPy – Scientific computation (builds on NumPy)

• SymPy – Symbolic mathematics

• OpenCV – Computer vision/image processing

• Hebel (less popular now) – Neural networks (legacy)

🛠️ 7. Utilities & Frameworks

• Flask – Lightweight web framework

• Django – Full-featured web framework

• FastAPI – Fast web APIs with async support

• Typer – CLI app building with minimal code

• Pytest – Testing framework

• Pydantic – Data validation using Python type hints

• SQLAlchemy – SQL toolkit and ORM

🧠 Want a top-10 shortlist?

Here’s a Top 10 Must-Know Python Libraries for real-world work:

1. NumPy

2. Pandas

3. Matplotlib

4. Seaborn

5. Scikit-learn

6. TensorFlow or PyTorch

7. Requests

8. Beautiful Soup

9. Flask or Django

10. FastAPI

🗂️ Top Python Libraries (Grouped)

✅ Bonus: Top 10 Must-Know Libraries (for real-world projects)

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