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- What are Go's built-in error handling mechanisms? How do you handle errors effectively?
- The article discusses Go's error handling mechanisms, focusing on the error type and best practices like immediate handling, error wrapping, and using custom error types for improved specificity and context.
- Golang 764 2025-03-26 13:27:34
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- Explain the difference between value receivers and pointer receivers on Go methods. When would you use each?
- The article discusses value and pointer receivers in Go methods, focusing on their differences, usage scenarios, performance implications, and effects on method calls. Pointer receivers are beneficial for modifying state and handling large types.[159
- Golang 769 2025-03-26 13:25:41
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- What are the benefits of using Go's defer statement? Explain how it works.
- The article discusses the benefits and mechanics of Go's defer statement, emphasizing its role in resource management, code readability, and error handling. It details how defer improves resource management in various scenarios.
- Golang 276 2025-03-26 13:23:43
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- What are mixins in Python? How can they be used for code reuse?
- Mixins in Python enable code reuse across class hierarchies, offering flexibility and modularity over traditional inheritance. They help avoid deep inheritance and the diamond problem.Character count: 159
- Python Tutorial 178 2025-03-26 13:21:38
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- Explain the concept of "duck typing" in Python. What are its advantages and disadvantages?
- The article discusses duck typing in Python, which allows objects to be used based on their behavior rather than their type. It examines the advantages like flexibility and disadvantages like runtime errors, and provides best practices for effective
- Python Tutorial 716 2025-03-26 13:20:43
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- What are abstract base classes (ABCs) in Python? How do they enforce interfaces?
- Article discusses abstract base classes (ABCs) in Python, their role in enforcing interfaces, and benefits like code reusability and type checking.
- Python Tutorial 233 2025-03-26 13:19:30
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- Explain the difference between shallow copy and deep copy in Python. How can you create deep copies?
- The article discusses shallow and deep copies in Python, focusing on their differences and usage scenarios. Shallow copies reference nested objects, while deep copies recursively duplicate them. Use copy.deepcopy() for deep copies.
- Python Tutorial 831 2025-03-26 13:18:39
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- How does Python's property decorator work? How can you use it to create managed attributes?
- The article discusses Python's property decorator, which allows methods to be accessed like attributes, enabling managed attributes with getter, setter, and deleter functions. It highlights benefits like encapsulation, validation, and improved code r
- Python Tutorial 554 2025-03-26 13:16:48
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- Explain the use of functools.lru_cache. How does it work, and when is it beneficial?
- The article discusses functools.lru_cache, a Python decorator for memoization using an LRU cache. It explains its operation, benefits, performance improvements, argument handling, limitations, and ideal application scenarios.Main issue: Understanding
- Python Tutorial 562 2025-03-26 13:15:37
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- What are Python's __slots__? What are their benefits and drawbacks?
- Python's slots optimize memory and speed by pre-allocating attribute storage. Benefits include reduced memory use and faster access, but drawbacks involve limited flexibility and added complexity. Best for large instance counts or fixed attributes.[1
- Python Tutorial 460 2025-03-26 13:14:22
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- Describe how Python handles memory management. How can you use tools like memory_profiler to diagnose memory issues?
- Python's memory management relies on garbage collection, featuring reference counting, cycle detection, and generational collection. memory_profiler aids in diagnosing memory issues by providing line-by-line usage, snapshots, and detailed reports.
- Python Tutorial 786 2025-03-26 13:13:35
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- What is the Global Interpreter Lock (GIL) in Python? What are its limitations, and how can you work around them for CPU-bound tasks?
- The article discusses the Global Interpreter Lock (GIL) in Python, its limitations for CPU-bound tasks, and workarounds like multiprocessing and alternative implementations to bypass the GIL.
- Python Tutorial 155 2025-03-26 13:10:39
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- Explain the difference between mutable and immutable data types in Python. Give examples of each.
- Abstract: The article discusses mutable and immutable data types in Python, highlighting their differences and use cases. Key points include memory management, benefits of immutability, and scenarios favoring mutable types.
- Python Tutorial 447 2025-03-26 13:08:44
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- What are generators and iterators in Python? How do they differ, and when would you use each?
- Article discusses generators and iterators in Python, their differences, and usage scenarios. Generators are favored for memory efficiency and lazy evaluation, while iterators suit custom iteration needs.
- Python Tutorial 568 2025-03-26 13:07:42
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- Explain the concept of method resolution order (MRO) in Python. How does it work with multiple inheritance?
- The article discusses Python's Method Resolution Order (MRO) in multiple inheritance, focusing on the C3 linearization algorithm to solve the diamond problem. It explains how MRO ensures consistent method resolution and demonstrates the use of super(
- Python Tutorial 886 2025-03-26 13:05:44
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