Alexander Cherepanov (aicherepanov)

aicherepanov

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Location:Russia, Yekaterinburg

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Alexander Cherepanov's repositories

secure-web-development-21-labs

Лабы по Безопасности web приложений

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AutomateThePlanet-Learning-Series

Automate The Planet Series Source Code

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CesarCipher

Шифр Цезаря (Caesar cipher)

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Saber_Interactive_DevTest

Here is a test for the QA Automation Engineer vacancy at Saber Interactive.

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BELLATRIX

Contains the full source code of BELLATRIX Test Automation Framework and templates for faster use.

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carina

Carina automation framework: Web, Mobile, API, DB

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carina-demo

Carina demo project.

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ClientServerChat-C-Socket

The Win32 C++ application about client-server chat with socket.

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eShopOnContainers

Cross-platform .NET sample microservices and container based application that runs on Linux Windows and macOS. Powered by .NET 6, Docker Containers and Azure Kubernetes Services. Supports Visual Studio, VS for Mac and CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor.

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eShopping

Clean Architecture Microservices example of .Net Core

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google

Automated tests for Google search

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hiring-without-whiteboards

⭐️ Companies that don't have a broken hiring process

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jellyfin

The Free Software Media System

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modular-monolith-with-ddd

Full Modular Monolith application with Domain-Driven Design approach.

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N.Progression_Test_task_for_SDET

Here is a solution for test task for Senior QA Automation Engineer at N.Progression

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OpenOLAT

Learning Management System OpenOlat

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RSA

Шифрование с открытыми ключами

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selenide

Concise UI Tests with Java!

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selenium

A browser automation framework and ecosystem.

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SeleniumPracticeKonturCourse

Практическое задание по автоматизации тестирования

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testcontainers-dotnet

A library to support tests with throwaway instances of Docker containers for all compatible .NET Standard versions.

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testfx

MSTest framework and adapter

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TestTaskInfiNet

Тестовое задание для InfiNet Wireless

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Time-Series-Analysis-ARIMA-SARIMA-Prophet-LSTM

The use of statistical models in computer algorithms allows computers to make decisions and predictions, and to perform tasks that traditionally require human cognitive abilities. Machine learning is the interdisciplinary field at the intersection of statistics and computer science which develops such algorithms and interweaves them with computer s

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