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dai-dominikow / repository
This project uses tableau-api-lib and AWS to get a pdf screenshot of a given workbook or view, uploads it to S3 and sends an email to a given list of emails via SES
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Dragonite made an appearance in Pokémon: The First Movie as Mewtwo’s “postman” as it uses Dragonite to send the invitations out. This project uses Tableau's API from python to take a screenshot of a given dashboards passing filters as url parameters, uploads them to S3 and sends them via email using SES. Saving a lot of money in Tableau's licences :) . I made this project for a company I worked on, and all microservices had pokemon names, so I picked Dragonite as our postman as Mewtwo did before.
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lucioveloso /
*DO NOT USE* - This project was done during my initial python and lambda's studies. I would recommend you the `serverless framework`.
50/100 healthadhorn /
This project contains Python source code and supporting files for a serverless application that you can deploy with the SAM CLI and that uses CodeDeploy and Lambda traffic shifting for deployment. This is a demo for my immutable infrastructure talk.
49/100 healthnasirkadri2601 /
This is a comprehensive end-to-end data engineering project. I extracted data directly from YouTube in raw JSON format using Python and AWS Lambda, performed transformations using Apache Spark and AWS Glue, and finally loaded the data into a table format in the data warehouse using Snowflake.
53/100 healthMy projects for Udacity Machine Learning Nanodegree (MLND) Program. The Machine Learning, Data Science and Deep Learning projects contained in this directory make use of tools such as Python, PyTorch, Sci-Kit Learn, AWS SageMaker, AWS Lambda, Amazon S3, Amazon API Gateway and XGBoost to implement machine learning solutions to different types of problems in areas such as business, finance and academia to name a few.
30/100 healthTech-with-Vidhya /
This project covers the implementation of building an automated ETL data pipeline using Python and AWS Services with Spark transformation job for financial stocks trade transactions. The ETL Data Pipeline is automated using AWS Lambda Function with a Trigger defined. Whenever a new file is ingested into the AWS S3 Bucket; then the AWS Lambda Function gets triggered and will implement the further action to execute the AWS Glue Crawler ETL Spark Transformation Job. The Spark Transformation Job implemented using Python PySpark transforms the trade transactions data stored in the AWS S3 Bucket; further to filter a sub-set of trade transactions for which the total number of shares transacted are less than or equal to 100. Tools & Technologies: Python, Boto3, PySpark, SDK, AWS CLI, AWS Virtual Private Cloud (VPC), AWS VPC Endpoint, AWS S3, AWS Glue, AWS Glue Crawler, AWS Glue Jobs, AWS Athena, AWS Lambda, Spark
30/100 healthDebjitPramanick /
It is a simple mini project using AWS lambda function, S3 service and API Gateway and React. This serverless application helps to detect a passport photo of a person using AWS Image Rekognition service.
33/100 health