Kamon Ayeva 🐍
@kamon
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Delivering @ Content Gardening Studio | Developer & Soft. Architect | 📚 Mastering Python Design Patterns, 3rd Edition 👉 https://t.co/oBBQEIoEj8 #InfiniteLoop
France
Joined May 2007
After months of work, I'm thrilled to announce the release of the new edition of "Mastering Python Design Patterns"!. What's new?. This edition dives deep into creational, structural, behavioral, and architectural patterns, plus it introduces concurrency, asynchronous, and
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The book has now been published!.
Check out this new edition of Mastering Python Design Patterns by @kamon and @SKasampalis!. Order from Amazon today:
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🐍 Python Tip of the Day: Utilizing Python’s “-m” Option for Module Execution. Python's `-m` option is a versatile tool that allows you to run library modules as scripts. This can be incredibly useful for executing modules that contain test code or need to perform initialization
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9️⃣ Boosting efficiency with the `cached_property` decorator. The `cached_property` decorator transforms a method into a property whose value is cached after the first access. So the method will only be executed once, and subsequent accesses retrieve the cached result, saving
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8️⃣ Simplifying resource management with the `contextlib.contextmanager` decorator.
🐍 Python Tip of the Day: Simplifying Resource Management with `contextlib.contextmanager` Decorator. Python's `contextlib.contextmanager` decorator is a handy tool for creating simple and readable context managers without the need for a class that implements `__enter__` and
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7️⃣ Accelerating functions with the `functools.lru_cache` decorator.
🐍 Python Tip of the Day: Accelerating Functions with the `functools.lru_cache` Decorator. Python's `functools.lru_cache` decorator caches the results of function calls, saving the outcomes based on the function arguments. By doing so, it prevents the need to recompute the
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6️⃣ Enhancing decorators with the `wraps` decorator.
🐍 Python Tip of the Day: Enhancing Decorators with the `wraps` Decorator. When you create decorators in Python, you might unintentionally overwrite some of the metadata of the decorated functions, such as their names and docstrings. To maintain this valuable information,
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5️⃣ Streamlining data-heavy classes with the `dataclass` decorator.
🐍 Python Tip of the Day: Streamlining Data-Heavy Classes with the `dataclass` Decorator. The `dataclass` decorator from Python's dataclasses module is a game-changer for classes that primarily serve as data containers. It automatically generates special methods such as
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4️⃣ Using the `functools.singledispatch` decorator for type-specific functions.
🚀 Python Tip of the Day: Using functools.singledispatch Decorator for Type-Specific Functions. Python’s `functools.singledispatch` decorator allows you to create versatile functions that adapt their behavior based on the type of their first argument. This is an excellent way to
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3️⃣ Simplifying access with the `property` decorator.
🚀 Python Tip of the Day: Simplifying Attribute Access with the property Decorator. The `property` decorator in Python is a powerful tool that turns class methods into attributes. It enhances encapsulation, allowing for cleaner and more intuitive access to a class's attributes
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2️⃣ Leveraging the `staticmethod` decorator for independent utility methods.
🚀 Python Tip of the Day: Leveraging the staticmethod Decorator for Independent Utility Methods. In Python, the staticmethod decorator is a valuable tool for defining methods within a class that are not dependent on the class instance (`self`) or the class itself (`cls`). Static
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Here are 9 useful Python decorators, from the standard library, that can enhance your productivity and help improve your codebase. 📘✨🚀. 1️⃣ Using the `classmethod` decorator for state management.
🚀 Python Tip of the Day: Utilizing the classmethod Decorator for State Management. In object-oriented programming with Python, the `classmethod` decorator allows you to define methods bound to the class rather than its instances. This capability is crucial for managing state or
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RT @Sonia18112013: Wow! @ClmentJean1 is giving away the copies of his recently published book- Protocol Buffers Handbook. Get creative- G….
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RT @Sonia18112013: Exciting news! Pre-orders for the latest edition of "Mastering Python Design Patterns" by @kamon and @SKasampalis are no….
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RT @react_native_eu: Don't miss the coolest React & React Native workshops of the year 🔥 Elevate your mobile development skills with practi….
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🐍 Python Tip of the Day: Simplifying Resource Management with `contextlib.contextmanager` Decorator. Python's `contextlib.contextmanager` decorator is a handy tool for creating simple and readable context managers without the need for a class that implements `__enter__` and
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🐍 Python Tip of the Day: Accelerating Functions with the `functools.lru_cache` Decorator. Python's `functools.lru_cache` decorator caches the results of function calls, saving the outcomes based on the function arguments. By doing so, it prevents the need to recompute the
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🐍 Python Tip of the Day: Enhancing Decorators with the `wraps` Decorator. When you create decorators in Python, you might unintentionally overwrite some of the metadata of the decorated functions, such as their names and docstrings. To maintain this valuable information,
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