✨ Quiz: How to Convert Bytes to Strings in Python ✨
📖 Decode bytes into readable strings in Python. Test your skills working with data from files, APIs, and databases.
🏷️ #basics
📖 Decode bytes into readable strings in Python. Test your skills working with data from files, APIs, and databases.
🏷️ #basics
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✨ Imports | Python Best Practices ✨
📖 Guidelines and best practices for leveraging the power of the Python import system.
🏷️ #Python
📖 Guidelines and best practices for leveraging the power of the Python import system.
🏷️ #Python
Python Tip:
Concatenating strings with += in a loop has a complexity of O(n²), because a new string is created with each addition.
Use join() — it gives O(n).
👉 @DataScience4
Concatenating strings with += in a loop has a complexity of O(n²), because a new string is created with each addition.
Use join() — it gives O(n).
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✨ Generator Expressions | Python Best Practices ✨
📖 Guidelines and best practices for using generator expressions for memory-efficient data transformation.
🏷️ #Python
📖 Guidelines and best practices for using generator expressions for memory-efficient data transformation.
🏷️ #Python
✨ Code Formatting | Python Best Practices ✨
📖 Guidelines and best practices for formatting your Python code.
🏷️ #Python
📖 Guidelines and best practices for formatting your Python code.
🏷️ #Python
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✨ Loops | Python Best Practices ✨
📖 Guidelines and best practices for writing efficient and Pythonic loops.
🏷️ #Python
📖 Guidelines and best practices for writing efficient and Pythonic loops.
🏷️ #Python
✨ 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.me/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
https://t.me/DataScience4
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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