A Rest-API test automation framework which is build on the top of Python language using PyTest Framework.
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Updated
Jun 12, 2021 - Python
A Rest-API test automation framework which is build on the top of Python language using PyTest Framework.
A tool for partial comparison of (nested) data structures
Shortcuts for AWS EC2 Instance Control from the command-line: list, start, stop and ssh
A simple time freezing tool for python tests
An ongoing collection of Python language tools and frameworks, software, libraries, learning tutorials, frameworks, academic and practical resources.
run python tests quickly from within a project
🍕 Transcoding library from italian vips language to our
Python Techniques, Experiments for problem solving, real world solutions.
Smart contract that creates a lottery where anyone can enter. Only the owner of the contract can start/end the lottery. Python scripts to deploy, start, enter, fund & end the contract. Python tests to test the contract.
Step-by-Step Video - https://youtu.be/l6fV09z5XHk
Display horizontal lines above and below the captured standard output for easy viewing.
TDD with djang-testcase, model_mommy and coverage
Smart contract that lets anyone deposit ETH. Only the owner of the contract can withdraw the ETH. Python scripts to deploy the contract, fund the contract and withdraw the money. Python tests to test the contract.
Construction of the project during the "NLW expert" event: a back-end application that creates barcodes based on a request with the product code.
HEP Event Classifier is a Python ML pipeline for classifying High Energy Physics events. It supports preprocessing, model training with hyperparameter tuning (Logistic Regression, Decision Trees, Random Forests, XGBoost), evaluation with metrics and confusion matrices, and saving the best models. Modular and easy to extend
Zookeeper [WebStorm] project and Topics | Frontend Core
Projeto de aplicação para indexação de documentos em Python.
Containers for Python projects pipelines
Primeiro projeto no módulo de Ciência da Computação na Trybe. No projeto Algorithms foi aplicado lógica na capacidade de resolução de problemas, interpretação, resolução e otimização de códigos, de acordo com a complexidade de cada item, além de testes.
Projeto de criação de algoritmos na linguagem Python.
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