Python Gil Flashcards

(25 cards)

1
Q

What does GIL stand for in Python?

A

Global Interpreter Lock

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2
Q

True or False: The GIL allows multiple threads to execute Python bytecodes simultaneously.

A

False

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3
Q

What is the primary purpose of the GIL?

A

To protect access to Python objects, preventing multiple threads from executing Python bytecodes at once.

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4
Q

Fill in the blank: The GIL is a mechanism used in Python to manage _______.

A

thread safety

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5
Q

How does the GIL affect multi-threaded Python programs?

A

It can limit performance by preventing true parallel execution of threads.

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6
Q

Which Python implementation is known for having a GIL?

A

CPython

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7
Q

What is one of the main criticisms of the GIL?

A

It can be a bottleneck for CPU-bound multi-threaded programs.

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8
Q

True or False: The GIL is present in all Python implementations.

A

False

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9
Q

Which type of workloads benefit from the GIL?

A

I/O-bound workloads

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10
Q

What is a common workaround for the limitations imposed by the GIL?

A

Using multiprocessing instead of threading.

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11
Q

What happens to threads that are waiting for the GIL?

A

They are blocked until the GIL is released.

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12
Q

True or False: The GIL can be released during I/O operations.

A

True

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13
Q

Name one alternative Python implementation that does not have a GIL.

A

Jython or IronPython

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14
Q

How does the GIL impact performance in CPU-bound applications?

A

It can degrade performance due to limited thread execution.

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15
Q

What is one method to mitigate the GIL’s impact on CPU-bound tasks?

A

Using the ‘multiprocessing’ module to create separate processes.

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16
Q

What is the main benefit of the GIL for single-threaded applications?

A

It simplifies memory management and prevents data corruption.

17
Q

Fill in the blank: The GIL is implemented in the _______ of CPython.

18
Q

True or False: The GIL is a feature that can be easily removed from CPython.

19
Q

What is one advantage of using threads in Python despite the GIL?

A

Simplified I/O operations and concurrency.

20
Q

What is the impact of the GIL on multi-core processors?

A

It prevents the effective use of multiple cores for CPU-bound tasks.

21
Q

Which Python module can be used to bypass the GIL for CPU-bound tasks?

A

Cython or writing C extensions

22
Q

True or False: The GIL affects the performance of all Python applications equally.

23
Q

What is one reason why the GIL was originally introduced in Python?

A

To simplify memory management and avoid race conditions.

24
Q

How often does the GIL switch between threads in CPython?

A

Typically every 5 milliseconds.

25
What is a potential future direction for Python regarding the GIL?
Removing or redesigning the GIL for better concurrency.