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1. ConfMe ConfMe Public

   ConfMe is a simple to use, production ready application configuration management library 😍

   Python 28

2. Have you ever been in a situation wh... Have you ever been in a situation where you would have liked others to give you a data frame with the right columns? If no, you're a lucky one. 🤩 If yes, check out this gist 🧐

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   # First step in the direction of a really typed DataFrame

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   I come across many great libraries every day, but unfortunately most of them are not well suited for enterprise or medical projects,

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   because they lack the possibility for proper interface definitions or the ussage of refactoring capabilities of your IDE. 

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   This is especially true if it comes to libraries in the data science area. Just remember your last ```df['my_feature'] = df['my_feature'] * 2``` 😉 And unfortunately, exactly these libraries are also the ones that are written for super fast computations. 

3. ConfMe-Workshop ConfMe-Workshop Public

   Very short introduction into ConfMe and it's main capabilities

   Python

4. Simple logging configuration for python Simple logging configuration for python

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   # setup logging

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   stdout_handler = logging.StreamHandler(stream=sys.stdout)

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   rotate_handler = RotatingFileHandler('../log/face-aggregator.log', maxBytes=2000, backupCount=10)

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   logging.basicConfig(level=logging.INFO,

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                       format='[%(asctime)s] [%(levelname)s] %(message)s',

5. mongodb-write-cache mongodb-write-cache Public

   Write Cache for pymongo

   Python

6. This is a simple solution to work wi... This is a simple solution to work with periods in time. For a detailed description of how to use this class check the attached Readme

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   from datetime import datetime, timedelta

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   class PeriodException(Exception):

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