Row 96912

Row ID: 96912 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 96912 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I think you are exaggerating the time to learn docker and CI/CD for data scientists and most companies.

Quite frankly, docker is one of the best data science tools available. It lets you share the same environment between the entire team, dev, and prod. Being able to run a container is typically sufficient.

The CI/CD knowledge I see requested is also pretty sparse. They want unit tests, linting, and formatting. Again, very basic skills to improve the quality and effectiveness of your team.

There's a reason these skills are requested by employers. It prevents shit code without tests that only works in one environment.

FieldValue
text I think you are exaggerating the time to learn docker and CI/CD for data scientists and most companies. Quite frankly, docker is one of the best data science tools available. It lets you share the same environment between the entire team, dev, and prod. Being able to run a container is typically sufficient. The CI/CD knowledge I see requested is also pretty sparse. They want unit tests, linting, and formatting. Again, very basic skills to improve the quality and effectiveness of your team. …
label r/datascience
dataType comment
communityName r/datascience
datetime 2024-05-25
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Raw Record

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  "text": "I think you are exaggerating the time to learn docker and CI/CD for data scientists and most companies. \n\nQuite frankly, docker is one of the best data science tools available. It lets you share the same environment between the entire team, dev, and prod. Being able to run a container is typically sufficient. \n\nThe CI/CD knowledge I see requested is also pretty sparse. They want unit tests, linting, and formatting.  Again, very basic skills to improve the quality and effectiveness of your team. \n\nThere's a reason these skills are requested by employers. It prevents shit code without tests that only works in one environment.",
  "label": "r/datascience",
  "dataType": "comment",
  "communityName": "r/datascience",
  "datetime": "2024-05-25",
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