Python Data Science Ecosystem

Review NumPy,pandas,and matplotlib basics.

1. Which library is primarily used for numerical computing in Python?
2. Which tool is widely used for interactive computing and creating notebooks in data science?
3. Which of the following are core Python libraries for data manipulation and analysis? (Select all that apply)
4. Pandas DataFrames are used to store and manipulate tabular data with labeled axes.
5. What is the standard file extension for a Jupyter Notebook? (3 letters, no dot)
6. Which library is primarily used for data manipulation and analysis with tabular data in Python?
7. Which libraries are commonly used for data visualization in Python? (Select all that apply)
8. Scikit-learn is primarily used for deep learning tasks.
9. What is NumPy's main data structure for storing homogeneous multi-dimensional data?
10. What is the common abbreviation for the machine learning library 'Scikit-learn'?
11. Which are deep learning frameworks in Python? (Select all that apply)
12. Jupyter Notebooks support live code execution and interactive visualizations.
13. Which library provides a high-level interface for statistical data visualization and is built on Matplotlib?
14. Which are part of Python's core scientific computing stack? (Select all that apply)
15. What does 'NumPy' stand for? (Two words, no space)
16. Which tool is an interactive development environment (IDE) commonly used for Jupyter Notebooks?
17. Pandas Series is a 1-dimensional labeled array capable of holding any data type.
18. Which tasks can Pandas perform? (Select all that apply)
19. Which library is widely used for traditional machine learning tasks like classification and regression?
20. Seaborn is primarily used for data manipulation rather than visualization.
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