Microsoft has just announced .NET Core 2.0, but confusion still exists among developers as to the differences between .NET Core, .NET Standard, Xamarin, and the .NET FrameworkThe .NET Framework is used for building desktop applications and ASP.NET applications running on Internet Information Server (IIS). It was the first managed framework released.Xamarin is a managed framework used for building iOS, Android, and macOS desktop applications.
I have been surprised how many people are not aware of Microsoft’s open source shift over last 8 years. Lots of people are not aware of current state of .NET, .NET Core and ASP.NET Core. And I do not blame them, they have been occupied by some other responsibilities or technologies. Before diving into ASP.NET Core and all amazing things about, let’s first take a look at the .NET framework and the current state of ASP.NET MVC.
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The DevOps training in Hyderabad is aimed at giving you an in-depth introductory understanding of DevOps. Being one of the best DevOps training in Hyderabad, the training course dives into the tools of DevOps, which govern operations and provide a thoroughly researched documentation of the operations, functions, and parameters of these tools.
Forms authentication is a common feature in many C# MVC .NET web applications. There are a variety of methods for implementing forms authentication in MVC .NET. A key part for each, is the process of storing user specific details that are carried throughout the web application. User details such as Id, Username, Address, and Age may be obtained through various methods, such as by querying the database upon every request or as needed, loading from cache, context, or even loading from Session.
In this tutorial, we’ll walk through the steps of implementing forms authentication in C# MVC .NET, specifically with MVC4. We’ll use a custom MembershipProvider class, along with a custom Principal object. The Principal will hold our custom user details, encrypted within the forms authentication ticket cookie, and allow us to access this data anywhere within the web application.
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Python is fast becoming the preferred language for data scientists – and for good reasons. It provides the larger ecosystem of a programming language and the depth of good scientific computation libraries. If you are starting to learn Python, have a look at learning path on Python.Among its scientific computation libraries, I found Pandas to be the most useful for data science operations. Pandas, along with Scikit-learn provides almost the entire stack needed by a data scientist. This article focuses on providing 12 ways for data manipulation in Python. I’ve also shared some tips & tricks which will allow you to work faster.
Microsoft Corp. snapped up LinkedIn Corp. for $26.2 billion in the largest acquisition in its history, betting the professional social network can rev up the tech titan’s software offerings despite recent struggles by both companies.The deal is Chief Executive Satya Nadella’s latest effort to revitalize Microsoft, which was viewed not long ago as left behind by shifts in technology. Mr. Nadella hopes the deal will open new horizons for Microsoft’s Office suite as well as LinkedIn, both of which have saturated their markets, and generally bolster Microsoft’s revenue and competitive position.
Many of those who call themselves statisticians just won't admit that data science heavily relies on and uses (heretical, rule-breaking) statistical science, or they don't recognize the true statistical nature of these data science techniques (some are 15-year old), or are opposed to the modernization of their statistical arsenal. They already missed the train when machine learning became a popular discipline (also heavily based on statistics) more than 15 years ago. Now machine learning professionals, who are statistical practitioners working on problems such as clustering, far outnumber statisticians.