✨ Object Mutability | Python Best Practices ✨
📖 Guidelines and best practices that will help you use mutable and immutable data types in Python.
🏷️ #Python
📖 Guidelines and best practices that will help you use mutable and immutable data types in Python.
🏷️ #Python
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✨ Public API Surface | Python Best Practices ✨
📖 Guidelines and recommendations for using public and non-public names in your Python code.
🏷️ #Python
📖 Guidelines and recommendations for using public and non-public names in your Python code.
🏷️ #Python
✨ Project Layout | Python Best Practices ✨
📖 Guidelines and best practices for structuring and organizing your Python projects effectively.
🏷️ #Python
📖 Guidelines and best practices for structuring and organizing your Python projects effectively.
🏷️ #Python
A generator in Python is a function that returns an iterator object instead of a single result.
It differs from regular functions in that it uses the
Example:
https://t.iss.one/DataScience4❤️
It differs from regular functions in that it uses the
yield keyword instead of return. Each call to next(generator) produces the next value from the sequence.Example:
def multiple_generator(x, n):
for i in range(1, n + 1):
yield x * i
multiples_of_5 = multiple_generator(5, 3)
print(next(multiples_of_5)) # 5
print(next(multiples_of_5)) # 10
print(next(multiples_of_5)) # 15
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✨ Optimization | Python Best Practices ✨
📖 Guidelines and best practices for optimizing your Python code.
🏷️ #Python
📖 Guidelines and best practices for optimizing your Python code.
🏷️ #Python
✨ Constants | Python Best Practices ✨
📖 Guidelines and best practices for using constants in your Python code.
🏷️ #Python
📖 Guidelines and best practices for using constants in your Python code.
🏷️ #Python
✨ How to Integrate ChatGPT's API With Python Projects ✨
📖 Learn how to use the ChatGPT Python API with the OpenAI library to build AI-powered features in your Python applications.
🏷️ #intermediate #ai #api
📖 Learn how to use the ChatGPT Python API with the OpenAI library to build AI-powered features in your Python applications.
🏷️ #intermediate #ai #api
✨ Dependency Management | Python Best Practices ✨
📖 Guidelines and best practices for dependency management in Python.
🏷️ #Python
📖 Guidelines and best practices for dependency management in Python.
🏷️ #Python
✨ Python's deque: Implement Efficient Queues and Stacks ✨
📖 Use a Python deque to efficiently append and pop elements from both ends of a sequence, build queues and stacks, and set maxlen for history buffers.
🏷️ #intermediate #datastructures #python #stdlib
📖 Use a Python deque to efficiently append and pop elements from both ends of a sequence, build queues and stacks, and set maxlen for history buffers.
🏷️ #intermediate #datastructures #python #stdlib
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✨ Reference: Python’s Built-in Exceptions ✨
📖 Predefined error classes that the Python interpreter uses to handle various error conditions.
🏷️ #47_terms
📖 Predefined error classes that the Python interpreter uses to handle various error conditions.
🏷️ #47_terms
✨ Reference: Python Best Practices ✨
📖 Widely accepted and established guidelines, conventions, tips, and best practices for Python programmers.
🏷️ #23_terms
📖 Widely accepted and established guidelines, conventions, tips, and best practices for Python programmers.
🏷️ #23_terms
Python tip:
You can make dataclass fields immutable by setting frozen=True.
In this case, fields cannot be mutated after the instance is created.
Example below👇
👉 @codeprogrammer
You can make dataclass fields immutable by setting frozen=True.
In this case, fields cannot be mutated after the instance is created.
Example below
from dataclasses import dataclass
@dataclass(frozen=True)
class Color:
name: str
hex_value: str
color = Color("red", "#FF0000")
# color.name = "blue" # will raise FrozenInstanceError
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