Practice Other Libraries (6.4) - Chapter 9: Memory Management and Performance Optimization in Python

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11 questions

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6 sample questions

Question 1.
What is the main purpose of the NumPy library?
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Think about handling numbers and calculations.
Question 2.
Name one advantage of using Cython.
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How does Cython relate to speed?
3Question 3.
What is NumPy best used for?
- Text processing
- Numerical computations
- Web development
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Consider the tasks that require numerical data processing.
4Question 4.
Cython compiles Python to which language?
- Java
- C
- Ruby
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Think about what can increase performance.
Question 5.
You have a dataset containing millions of records. Discuss how you would leverage NumPy and its features to efficiently process this data.
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Focus on reducing the time complexity of operations on large datasets.
Question 6.
You suspect your Python application is leaking memory. How would you approach identifying and fixing this issue using available libraries?
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Think about how profiling helps in debugging memory usage.

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