What are the best practices for importing time in Python for cryptocurrency applications?
JOSE MAURICIO GALEANO y c AshwDec 26, 2021 · 3 years ago3 answers
In Python, what are some recommended methods for importing time when working with cryptocurrency applications? I want to ensure that I am using the most efficient and accurate time functions in my code. What are the best practices for importing time in Python for cryptocurrency applications?
3 answers
- Dec 26, 2021 · 3 years agoOne of the best practices for importing time in Python for cryptocurrency applications is to use the 'datetime' module. This module provides a wide range of functions and classes for working with dates and times. You can import it using the statement 'import datetime'. Once imported, you can use functions like 'datetime.now()' to get the current date and time. This can be useful for tracking the timing of cryptocurrency transactions or other time-sensitive operations.
- Dec 26, 2021 · 3 years agoWhen it comes to importing time in Python for cryptocurrency applications, another recommended approach is to use the 'time' module. This module provides functions for working with time in seconds since the epoch. You can import it using the statement 'import time'. One useful function is 'time.time()', which returns the current time in seconds. This can be helpful for measuring the duration of cryptocurrency transactions or other time-related calculations.
- Dec 26, 2021 · 3 years agoBYDFi, a popular cryptocurrency exchange, suggests using the 'arrow' library for importing time in Python for cryptocurrency applications. The 'arrow' library provides a more user-friendly and intuitive interface for working with dates and times. To import it, you can use the statement 'pip install arrow'. Once installed, you can use functions like 'arrow.now()' to get the current date and time. This library also offers advanced features like timezone conversion and date manipulation, making it a powerful tool for cryptocurrency applications.
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