Python Projects and Applications with exercise

A list of hopefully useful AWS lambdas and lambda-related resources.

Mathematical, Statistics, Medical, Scientific Data Visualization

An AWS Lambda function to run Graffiti Monkey

Mathematical, Statistics, Medical, Scientific Data Visualization

A comparison of hosts / providers for Python serverless functions (aka Faas)

An easy-to-use GUI addon for whisper-standalone-win. Designed for those who prefer a simple interface over typing commands and file paths. This tool is especially useful for elders (like my dad) who want to use Faster-Whisper. It includes a built-in YouTube video downloader, which automatically processes downloaded videos with Faster-Whisper

Lightweight docker image for running, testing, packaging and deploying python-based AWS lambda functions

42 Python for Data Science

This repository contains several examples of lambda functions in Python

Serverless FizzBuzz solution for the modern enterprise.

Jogo de campo minado baseado em python usando tkinter para GUI e salvando informações dos usuários em arquivo txt (fui obrigado)

λ - A small pythonic interpreter for Lambda functions and List Comprehension.

This documentation guides you through deploying a serverless application on AWS Lambda using Terraform. It reads data from S3, processes it with a custom Python script, and stores the output in DynamoDB, exposed as a RESTful API. The guide includes prerequisites, architecture, and Terraform configuration, and concludes with the API Gateway endpoint

PySpark RDD and DataFrame Examples

single session aws apigw lambda, using localstack, terraform and docker

AWS CDK project for a form to generate PDF report from toggl

This is a simple Support Cases sample app for Serverless demos. The app is written in Python and will be used in GenAI demos.

This marks my inaugural venture into personal data analysis, employing SQL and Python for Correlation Analysis. I've sourced the dataset from Kaggle, specifically focusing on automotive sales. You can find the dataset linked on my website below. I'm excited to share that I've independently managed the majority of tasks involved in this project.