Data Science Essentials

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Across
  1. 3. Framework for building interactive web applications
  2. 4. Library for interactive plots.
  3. 7. Collection of Python modules bundled together
  4. 10. Iteration over a sequence
  5. 12. Key-value pairs
  6. 14. Collection of unique elements eliminating duplicates.
  7. 15. Contiguous memory block
  8. 17. Library for data manipulation and analysis
  9. 19. Named storage for data
  10. 20. Reusable code to perform a specific task.
  11. 21. Library used for working with numerical computations
  12. 23. Moodifying the behavior of another function
Down
  1. 1. Reusable code used across projects.
  2. 2. Compact way to create a new list
  3. 5. Two-dimensional data structure
  4. 6. A blueprint for creating objects
  5. 7. Interactive visualizations
  6. 8. File format used for storing tabular data.
  7. 9. An event that disrupts the normal flow of a program
  8. 11. Identifying and fixing errors
  9. 13. Anonymous function
  10. 16. Data visualization library built on Matplotlib for statistical graphics
  11. 18. Immutable data structure &ordered elements
  12. 22. Pattern matching