How often have you felt the need to rename or move a C# project? If you have come here, then you know that the most important existing IDE for C#, Visual Studio, does not really support this scenario very well. 

Awesome collection of .NET Core Static Analyzers using the .NET Compiler Platform (Roslyn). A sample project along with Cake Script for Continuous integration is also included in this repository with some of Analyzers added through Nugget. 

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These are the issues addressed in 15.9.15:

• Updated signing of VC Redist packages to enable continued deployment on Windows XP. This fix may have an increased chance of requiring a reboot of the machine in order to install an updated VC++ Redistributable package.
• Fixed in issue where GoToDefinition does not work for JavaScript in script blocks of cshtml files.
• Calling pmr monotonic_buffer_resource release will corrupt memory.
• Fix for HRESULT E_FAIL build error in some C++ projects when upgrading to 15.9.13

Security Advisory Notices

• Git for Visual Studio Elevation of Privilege Vulnerability 

• Linux support for tier-1, mission-critical workloads – SQL Server 2017 support for Linux includes the same high availability solutions on Linux as Windows Server, including Always On availability groups integrated with Linux native clustering solutions like Pacemaker.
• Graph data processing in SQL Server – With the graph data features available in SQL Server 2017and Azure SQL Database, customers can create nodes and edges, and discover complex and many-to-many relationships.
• Adaptive query processing – Adaptive query processing is a family of features in SQL Server 2017 that automatically keeps database queries running as efficiently as possible without requiring additional tuning from database administrators. In addition to the capability to adjust batch mode memory grants, the feature set includes batch mode adaptive joins and interleaved execution capabilities.
• Python integration for advanced analytics – Microsoft Machine Learning Services now brings you the ability to run in-database analytics using Python or R in a parallelized and scalable way. The ability to run advanced analytics in your operational store without ETL means faster time to insights for customers while easy deployment and rich extensibility make it fast to get up and running on the right model. 

.NET Core + Angular Dashboard

Topics Covered:
- Building a dashboard application in Angular
- Building a Web API in .NET Core 2.0
- Using Chart.js to build stunning charts of different types
- Making HTTP requests using Angular to query a Web API
- Using Postman to send requests
- Working with Observables
- Using Input and Output decorators in Angular
- Using PostgreSQL and pgAdmin
- Automatically seeding a database with large amounts of sample data
- Styling an application using custom CSS and Bootstrap 4
- Using Map, Filter, and Reduce in Javascript
- Creating Routes in Angular
- Get, Put, Post, Patch Web API Controller Action request types
- Configuring your API for CORS