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Lambda, NLTK Data and S3



2019 Community Moderator ElectionNot able to download nltk dataInsert data in AWS Redshift via AWS LambdaMy Lambda is timeout with my S3 uploadPaths in AWS lambda with Python NLTKDeploy Lambda function to S3 bucket subdirectoryLambda not supporting NLTK file sizeIs it possible to share a piece of code betwen AWS Lambda functions?Increasing AWS Lambda response body payload sizeIs it possible to use only english.pickle in NLTK punkt word_tokenize to decrease deployment package size?lambda doesn't find the NLTK data downloaded via AWS CodeBuild










1















I am deploying a Lambda function that uses Python + NLTK Data.
The problem is that the data folder is 3.3G and lambda upload doesn't support more than a certain limit of data storage.



Some solutions here are to remove all the folders and archive I don't use in this function but this can be a temporary solution.



I was thinking of other solutions like using NLTK data from S3. Is there a way to do that?










share|improve this question


























    1















    I am deploying a Lambda function that uses Python + NLTK Data.
    The problem is that the data folder is 3.3G and lambda upload doesn't support more than a certain limit of data storage.



    Some solutions here are to remove all the folders and archive I don't use in this function but this can be a temporary solution.



    I was thinking of other solutions like using NLTK data from S3. Is there a way to do that?










    share|improve this question
























      1












      1








      1








      I am deploying a Lambda function that uses Python + NLTK Data.
      The problem is that the data folder is 3.3G and lambda upload doesn't support more than a certain limit of data storage.



      Some solutions here are to remove all the folders and archive I don't use in this function but this can be a temporary solution.



      I was thinking of other solutions like using NLTK data from S3. Is there a way to do that?










      share|improve this question














      I am deploying a Lambda function that uses Python + NLTK Data.
      The problem is that the data folder is 3.3G and lambda upload doesn't support more than a certain limit of data storage.



      Some solutions here are to remove all the folders and archive I don't use in this function but this can be a temporary solution.



      I was thinking of other solutions like using NLTK data from S3. Is there a way to do that?







      python-3.x amazon-web-services aws-lambda nltk






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked 19 hours ago









      4m1nh4j14m1nh4j1

      1,61973776




      1,61973776






















          1 Answer
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          0














          You can use SageMaker, creating a Docker image with NLTK and Python libraries AWS SageMaker - Create your own Docker Image and run Customized Algorithms, or even install NLTK in ElasticBeanstalk Amazon AWS Elastic Beanstalk






          share|improve this answer






















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            1 Answer
            1






            active

            oldest

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            active

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            active

            oldest

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            0














            You can use SageMaker, creating a Docker image with NLTK and Python libraries AWS SageMaker - Create your own Docker Image and run Customized Algorithms, or even install NLTK in ElasticBeanstalk Amazon AWS Elastic Beanstalk






            share|improve this answer



























              0














              You can use SageMaker, creating a Docker image with NLTK and Python libraries AWS SageMaker - Create your own Docker Image and run Customized Algorithms, or even install NLTK in ElasticBeanstalk Amazon AWS Elastic Beanstalk






              share|improve this answer

























                0












                0








                0







                You can use SageMaker, creating a Docker image with NLTK and Python libraries AWS SageMaker - Create your own Docker Image and run Customized Algorithms, or even install NLTK in ElasticBeanstalk Amazon AWS Elastic Beanstalk






                share|improve this answer













                You can use SageMaker, creating a Docker image with NLTK and Python libraries AWS SageMaker - Create your own Docker Image and run Customized Algorithms, or even install NLTK in ElasticBeanstalk Amazon AWS Elastic Beanstalk







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered 18 hours ago









                Rubens_ZRubens_Z

                853518




                853518





























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