Pinned Repositories
apress-recipes-webapi
Samples from ASP.NET Web API 2: Recipes book.
AspNetCore-StarChartAPI
Project to create a Starchart Web API using ASP.NET Core.
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
azure-documentdb-datamigrationtool
Azure DocumentDB Data Migration Tool
azure-sdk-for-net
Microsoft Azure SDK for .NET
beginners-guide-to-react
The Beginner's Guide To ReactJS
BlazeOrbital
Sample application for Blazor WebAssembly on .NET 6
CleanArchitecture
Clean Architecture Solution Template: A starting point for Clean Architecture with ASP.NET Core
vechkar's Repositories
vechkar/AspNetCore-StarChartAPI
Project to create a Starchart Web API using ASP.NET Core.
vechkar/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
vechkar/azure-documentdb-datamigrationtool
Azure DocumentDB Data Migration Tool
vechkar/azure-sdk-for-net
Microsoft Azure SDK for .NET
vechkar/beginners-guide-to-react
The Beginner's Guide To ReactJS
vechkar/BlazeOrbital
Sample application for Blazor WebAssembly on .NET 6
vechkar/CleanArchitecture
Clean Architecture Solution Template: A starting point for Clean Architecture with ASP.NET Core
vechkar/design_patterns_in_csharp
In this repository I am doing some exercises and examples about the GOF design patterns in C# 7, so it's pretty much updated.
vechkar/DEVIntersection2019-SignalR
Presentation and demo code from my SignalR presentation at DEVIntersection Las Vegas 2019
vechkar/dotnetlinux-make-container
vechkar/EFCoreSamples.StabilityAndPerformance
Showing bad and good examples for EF Core that impacts stability and performance of the applications
vechkar/eShopOnContainers
Cross-platform .NET sample microservices and container based application that runs on Linux Windows and macOS. Powered by .NET Core 3.0, 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.
vechkar/eShopOnWeb
Sample ASP.NET Core 2.0 reference application, powered by Microsoft, demonstrating a layered application architecture with monolithic deployment model. Download 130+ page eBook PDF from docs folder.
vechkar/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
vechkar/interview
Interview questions
vechkar/MvcDemos
Demos for ASP.NET Core MVC
vechkar/odata.net
ODataLib: Open Data Protocol - .NET/Silverlight/WP8.1 Libraries and Frameworks
vechkar/office-ui-fabric-react
React components for building Microsoft web experiences.
vechkar/principles-of-email-design
A repository of coding resources for anyone first dipping their toes into the waters of HTML email design. Godspeed.
vechkar/react-fundamentals
Material for my React Fundamentals Workshop
vechkar/reactinterface2
Repository for the second version of my React Interface course on LinkedIn Learning and Lynda.com
vechkar/scikit-learn
scikit-learn: machine learning in Python
vechkar/serilog-aspnetcore
Serilog integration for ASP.NET Core 2+
vechkar/Serverless-microservices-reference-architecture
This reference architecture walks you through the decision-making process involved in designing, developing, and delivering a serverless application using a microservices architecture through hands-on instructions for configuring and deploying all of the architecture's components along the way. The goal is to provide practical hands-on experience in working with several Azure services and the technologies that effectively use them in a cohesive and unified way to build a serverless-based microservices architecture.
vechkar/SignalRChat
Simple AngularJS that uses SignalR to implement a Chatroom on localhost
vechkar/sql-server-samples
Official Microsoft GitHub Repository containing code samples for SQL Server
vechkar/starting-react
vechkar/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
vechkar/The-Grand-Complete-Data-Science-Materials
vechkar/WorkerServiceSample
ASP .NET Core 3.0 Worker Service Sample