design-patterns-for-humans
data-making-guidelines
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| 9 | 1 | |
| 43,415 | 286 | |
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| 3.5 | 1.8 | |
| 4 months ago | about 3 years ago | |
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| - | MIT License |
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design-patterns-for-humans
- Ask HN: How to handle Asian-style “Family name first” when designing interfaces
- Cool Github repositories for Everyone
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15 tools and resources every developer should know about in 2022
2. Design patterns for humans
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[OC] My job search as a self-taught software engineer with no professional work experience
For the first point, what really helped me is taking a look at the various design patterns that are usually used. However, do not force a design pattern into code, it should come naturally to you which pattern fits to a problem. A great resource I can recommend is the README.md file on this GitHub project.
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UNITY Question: How would one develop a random loot generation based on rarity/prefix using scriptable objects that effect the item stats without hardcoding each individual item variant?
I'd recommend reading gang of four design patterns https://github.com/kamranahmedse/design-patterns-for-humans
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Testing with NestJS like a Pro
If you want to learn more about design patterns, don't forget to take a look at Design Patterns for Humans, it's an incredible repository with many interesting examples that you can apply when you want to use a design pattern to solve a specific problem.
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Generating Trees Images, Part 2. Geometry, Graphics and DOM
Ideally, we would write a facade for those methods and provide an API like:
- Design Patterns for Humans
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How does cacheing in classes actually work?
https://github.com/kamranahmedse/design-patterns-for-humans#-singleton
data-making-guidelines
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Ask HN: Freelancer? Seeking freelancer? (May 2021)
SEEKING FREELANCER | Greater NY Area | Remote | Volunteer Stipend | Covid-19 Vaccine Related
Join a group of MDs, data junkies, and political gurus working on data-driven methods for managing equitable distribution of covid vaccine into some of the most vulnerable communities in the country.
YOU = AN ETL GOD :)
Looking specifically for journeyman-level expertise in building simple yet powerful DQ and ingestion pipelines. Data is a grab bag from sources like cdc, census, state immunization registries, community vulnerability indices, etc...
Approach we have in mind is heavily inspired by this:
https://github.com/datamade/data-making-guidelines/blob/mast...
We are also considering the possibility of making it a bit more easy to manage by using Airflow to keep track of the ongoing DAGs.
AND IF ETL ISN'T YOUR THING...
All of that said, if you're interested in working in data analysis tied to the distribution and management of vaccination opportunities but have different skill sets, I would love to hear from you.
Our work in this area continues to get visibility from leaders in the field and we have several publication-ready findings they could be directly applicable to any future mass vaccination challenges the world faces.
Contact info:
What are some alternatives?
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