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Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about IoT basics. Each lesson includes pre- and post-lesson quizzes, written instructions to complete the lesson, a solution, an assignment and more. Our project-based pedagogy allows you to learn while building, a proven way for new skills to 'stick'. The projects cover the journey of food from farm to tab
Win32 APIs provide functionality that not all languages and frameworks support themselves. When developing for Windows, developers often call into Win32 APIs to access this functionality. Historically, this has required manually redefining the APIs to make them accessible, which is fragile and error-prone. Community projects like https://github.com/dotnet/pinvoke (.NET) and https://github.com/rete
August 31, 2023. Since September 2020 when OneFuzz was first open sourced, we’ve been on a journey to create a best-in-class orchestrator for running fuzzers, driving security and quality into our products. Initially launched by a small group in MSR, OneFuzz has now become a significant internal platform within Microsoft. As such, we are regretfully archiving the project to focus our attention on
Pylance provides users with the ability to customize their Python language support via a host of settings which can either be placed in the settings.json file in your workspace, or edited through the Settings Editor UI. python.analysis.typeCheckingMode Used to specify the level of type checking analysis performed. Default: off Available values: off: No type checking analysis is conducted; unresolv
Microsoft Application Inspector is a software source code characterization tool that helps identify coding features of first or third party software components based on well-known library/API calls and is helpful in security and non-security use cases. It uses hundreds of rules and regex patterns to surface interesting characteristics of source code to aid in determining what the software is or wh
The purpose of the Language Server Index Format (LSIF) is it to define a standard format for language servers or other programming tools to dump their knowledge about a workspace. This dump can later be used to answer language server LSP requests for the same workspace without running the language server itself. Since much of the information would be invalidated by a change to the workspace, the d
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