Data on the Web Best Practices Recommendation
Here is my before/after picture for the initial 90 days on this new program , and I threw in a recent update from about a month ago – still going really strong like this.
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Many of the API design opinions found on the web are academic discussions revolving around subjective interpretations of fuzzy standards as opposed to what makes sense in the real world. My goal with this post is to describe best practices for a pragmatic API designed for today's web applications. I make no attempt to satisfy a standard if it doesn't feel right. To help guide the decision making process, I've written down some requirements that the API must strive for:
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In engineering and the physical sciences, experiments are a primary component of the scientific method. They are used to test theories and hypotheses about how physical processes work under particular conditions (., whether a particular engineering process can produce a desired chemical compound). Typically, experiments in these fields focus on replication of identical procedures in hopes of producing identical results in each replication. Random assignment is uncommon.
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