Challenge: Classify Thread vs. Process Use Cases
In modern Python programming, choosing between threads and processes is a crucial design decision when building concurrent or parallel systems. Each approach has distinct strengths: threads shine in I/O-bound scenarios where tasks spend time waiting for input or output operations, while processes are ideal for CPU-bound workloads that benefit from true parallel execution. Consider the following real-world programming tasks and think about which concurrency model—threads or processes—would be most appropriate for each:
- Downloading multiple web pages simultaneously;
- Processing a large collection of high-resolution images;
- Reading and writing records to a shared database;
- Performing complex numerical computations on large datasets;
- Monitoring multiple directories for file changes;
- Running several independent machine learning model training jobs;
- Logging sensor data from several networked devices in real time;
- Rendering frames for an animated video;
- Scraping data from multiple websites at once;
- Compressing a batch of files into separate archives.
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Classify each programming task as better suited for threads or processes.
- For each task, assign either "thread" or "process" to the corresponding variable (e.g.,
task1,task2, etc.).
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In modern Python programming, choosing between threads and processes is a crucial design decision when building concurrent or parallel systems. Each approach has distinct strengths: threads shine in I/O-bound scenarios where tasks spend time waiting for input or output operations, while processes are ideal for CPU-bound workloads that benefit from true parallel execution. Consider the following real-world programming tasks and think about which concurrency model—threads or processes—would be most appropriate for each:
- Downloading multiple web pages simultaneously;
- Processing a large collection of high-resolution images;
- Reading and writing records to a shared database;
- Performing complex numerical computations on large datasets;
- Monitoring multiple directories for file changes;
- Running several independent machine learning model training jobs;
- Logging sensor data from several networked devices in real time;
- Rendering frames for an animated video;
- Scraping data from multiple websites at once;
- Compressing a batch of files into separate archives.
Swipe to start coding
Classify each programming task as better suited for threads or processes.
- For each task, assign either "thread" or "process" to the corresponding variable (e.g.,
task1,task2, etc.).
Рішення
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