Python Projects and Applications with exercise
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Updated
Aug 8, 2023 - Python
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)
This repository is specially made to contain all the python workflows , the basic code , the things that are required for ML,AI compilation and it can be used Introduction Python is a versatile, high-level programming language known for its readability and ease of use. This cheat sheet covers the fundamental concepts that are essential
λ - A small pythonic interpreter for Lambda functions and List Comprehension.
Creating Microservices with AWS Lambda and API Gateway through Serverless Framework
A lightweight implementation of a neural network using Autograd library that can be deployed on serverless platforms like AWS Lambda
The practice of writing code using languages and frameworks that provide abstractions and automation for common tasks, allowing developers to focus on problem-solving rather than low-level details. This approach enhances productivity, code readability, and maintainability, making it ideal for creating complex and efficient software solutions.
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
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