9pip's.py

print("these are all pips")

"""Python has a vast ecosystem of packages. Here are a few
 commonly used ones across different domains:


Data Science & Machine Learning:



NumPy: For numerical computations and array operations.
Pandas: For data manipulation and analysis.
Matplotlib: For creating visualizations.
Scikit-learn: For machine learning algorithms and tools.
TensorFlow: For deep learning and neural networks.
Keras: A high-level deep learning API built on top of TensorFlow.
PyTorch: Another popular deep learning framework.




Web Development:


Flask: A micro web framework for building web applications.
Django: A full-featured web framework for building complex web applications.
Requests: For making HTTP requests to interact with APIs.
Beautiful Soup: For web scraping and parsing HTML.




Testing & Debugging:


Pytest: A popular testing framework for writing unit tests.
unittest: The standard testing framework built into Python.
pdb: The Python debugger for interactive debugging.




Other Useful Packages:


os: For interacting with the operating system.
sys: For interacting with the Python interpreter.
datetime: For working with dates and times.
json: For working with JSON data.
re: For working with regular expressions."""