DjangoCon Europe 2023 | Green Coding with Django

Learn how to write green code with Django, prioritizing environmentally sustainable computing practices, optimizing code performance, and reducing energy consumption to create a more sustainable environment for all.

Key takeaways

As individuals, we have a responsibility to make sure that we can fix and avoid creating unnecessary environmental problems with our code.
We should prioritize writing green code, which means writing environmentally sustainable computing practices, including behavioural and structural considerations.
To achieve this, we should look at our personal habits, including our energy consumption and how we can reduce it, such as using renewable energy sources.
We should also look at our code and optimize it for performance, using tools like Django debug toolbar and profiling tools.
There are many ways to speed up code, such as using bulk actions, caching, and select_related() and prefetch_related() for efficient database querying.
The 5-minute rule suggests that if a task can be done in under 5 minutes, we should just do it, rather than delaying or scheduling it.
Green coding is about more than just reducing energy consumption - it’s about creating a sustainable environment in all aspects of our lives, including our personal habits and code.
It’s important to measure the impact of our actions, including our energy consumption and CO2 emissions, to understand where we can make improvements.
There are many environmental benefits to reducing our energy consumption, including reducing pollution, greenhouse gas emissions, and waste.
Writing green code requires a combination of behavioural, structural, and material considerations, including designing sustainable systems, reducing energy consumption, and sourcing materials responsibly.
Green coding is not just about reducing our individual impact, but also about encouraging others to join us in making sustainable changes.

DjangoCon Europe 2023 | Green Coding with Django

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