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In my one of the recent posts, I mentioned about top five Visual Studio Code extensions and after that I received lot many feedbacks asking my top recommendation on Azure specific extensions. Hence, this article is here. When it comes to Azure, there are lot many extensions you can find. Here is the gist of that: Above list is not limited to what I've shown above, there is much more than this. Let's quickly jump on to my top five favorite extensions specific to Azure: Azure Tools This is my most favorite one as it handles lot many things. It includes long list of extensions which are very much useful to interact with Azure. It allows you to host your web sites, it allows very seamless interaction between MongoDB and Cosmos DB in terms of creating databases and writing scripts, you can manager your virtual machines, view all your Azure resource groups, you can deal with docker images and many more.  Here is the list extensions included in it: Docker Azure Functions Azure Resourc...

How fast anyone can code, depends on many factors. But I feel the most important among all of those is the IDE, Integrated Development Environment. More friendly the development IDE is, more help a developer will get in terms of intellisense, syntax, re-factoring, etc.  IDEs are of various types as few are fully loaded with all the required features, tools and plugins whereas few requires user’s attention. No, when it comes to user’s choice, it again varies by which development language he or she is going to use. In this article, I’m going to write about VS Code, which is Visual Studio Code and is one of my favorite IDEs.  VS Code is not pre-loaded with all the features as it supports lot many languages. So, it’s on user to install the required extensions based on project and development language’s need. How to install an extension Here is the screenshot mentioning how to install an extension: Let’s talk about few of the very useful extensions: vscode-icons While worki...

When we are talking about a term environment along with Python, it is a context in which our Python application runs, or we can say that the Python program runs.   An environment consists of an interpreter and all the installed packages, which clearly means that one can have multiple environments on a single machine, or rather I would say, every Python application can have its own environment. Now the question is, why do we need such environments?   To know more about the virtual environment and how to create one using Visual Studio Code, watch out my recorded video on my YouTube channel named Shweta Lodha.