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Questions and Answers
What is the main purpose of NumPy?
What is the main purpose of NumPy?
- To create arrays with limited supporting functions
- To slow down the processing speed of arrays in Python
- To create Python arrays with slower processing speed
- To provide a faster array object for efficient data manipulation (correct)
Who created NumPy?
Who created NumPy?
- Mark Zuckerberg
- Linus Torvalds
- Guido van Rossum
- Travis Oliphant (correct)
Where are NumPy arrays stored in memory?
Where are NumPy arrays stored in memory?
- In a slower memory section
- At multiple discontinuous places in memory
- At one continuous place in memory (correct)
- In a separate memory space
What is the behavior called when arrays are stored at one continuous place in memory?
What is the behavior called when arrays are stored at one continuous place in memory?
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In which year was NumPy created?
In which year was NumPy created?
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Study Notes
Introduction to NumPy
- The main purpose of NumPy is to provide support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
History of NumPy
- NumPy was created by Travis Oliphant.
Memory Storage
- NumPy arrays are stored in a contiguous block of memory.
- This behavior is called row-major order.
NumPy Timeline
- NumPy was created in 2005.
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Description
Test your knowledge about NumPy, a Python library used for working with arrays, linear algebra, and matrices. Learn about its functions and applications in data manipulation and scientific computing.
