#Using python in visual studio code code
#Using python in visual studio code windows

Р В Р вЂ Р В РІР‚С™Р РЋРЎв„ўLargeР В Р вЂ Р В РІР‚С™Р РЋРЎС™ projects are really largeР В РІР‚СњР вЂ™Р’В®veryone has a different concept of how large a Р В Р вЂ Р В РІР‚С™Р РЋРЎв„ўlargeР В Р вЂ Р В РІР‚С™Р РЋРЎС™ project is. And when you want the keyboard-oriented experience, we have a Debug Interactive window with that functionality.

#Using python in visual studio code code

We can also use some non-standard interfaces with recent CPython versions to provide mixed native/Python debugging, letting you move between C/C++ and Python code as easily as pressing Step In.

#Using python in visual studio code windows

So you donР В Р вЂ Р В РІР‚С™Р Р†РІР‚С›РЎС›t need a special version of Python to get it, and your code can runР В РІР‚в„ўР вЂ™Р’В on Windows or any other platform. The best part is that this debugging is implemented using standard Python interfaces. In contrast, Visual Studio overlays the debugging interface directly on your code in the editor, so you can see your breakpoints, current statement, and call stack in the same context.Р В РІР‚СњР вЂ™Р’В¬ustomizable Watch windows and floating expressions automatically update, so you can keep track of values without having to repeatedly ask for them, and itР В Р вЂ Р В РІР‚С™Р Р†РІР‚С›РЎС›s easy to jump up the call stack and review the variables that lead to the current state.

For exampleР В РІР‚СњР В РІР‚С›lthough this kind of debugging is tolerable for very small projects, it can be very disorientating to step through code in this way, and becomes very inefficient for projects of any significant complexity. Python developers traditionally spent a lot of their time at a terminal or command prompt, switching back and forth from their editor, and so early command-line debugging tools developed around this workflow. Similar to IntelliSense, interactive debugging in Python is a fairly recent development.

Make a subclass and start typing some method overrides.

Add a value to a list thatР В Р вЂ Р В РІР‚С™Р Р†РІР‚С›РЎС›s been passed into a function.

Call a function with different arguments and look at the return values.

Put different types into a tuple and then unpack them later.

WeР В Р вЂ Р В РІР‚С™Р Р†РІР‚С›РЎС›ve spent a lot of time optimizing our analysis for common Python patterns. You can mouse-over any variable to see what types it could be at that point, or Р В Р вЂ Р В РІР‚С™Р РЋРЎв„ўdot-throughР В Р вЂ Р В РІР‚С™Р РЋРЎС™ to see its members. Using full-program analysis, we track variables from the first time they are initialized to every place they are used. In Visual Studio, we provide this deep understanding for you. Most editors do not provide helpful tips and force you to keep your entire programР В Р вЂ Р В РІР‚С™Р Р†РІР‚С›РЎС›s operation in your own head. This saves a lot of time while coding, but it requires a deep understanding of your program and every bit of help from your editor is important. Unlike many other languages, Python code does not need you to specify types everywhere. Python developers have not been so lucky, having to be content with only minimal code suggestions and basic syntax highlighting. Visual Studio has always had great IntelliSense for all of its languages, so if youР В Р вЂ Р В РІР‚С™Р Р†РІР‚С›РЎС›ve been coding in C# or VB for the last fifteen years you arenР В Р вЂ Р В РІР‚С™Р Р†РІР‚С›РЎС›t even impressed anymore. I know, we talk about IntelliSense all the time.

In this post I want to talk about some of the reasons to consider using Visual Studio next time you are working in Python. You can find all the details and some video walkthroughs, documentation, and other resources on, and the post announcing Python Tools 2.1 and Python Tools 2.2 beta. Python Tools for Visual Studio (PTVS) are available to help throughout Visual Studio in all the places youР В Р вЂ Р В РІР‚С™Р Р†РІР‚С›РЎС›d expect, from editing and IntelliSense, to debugging, profiling, and publishing to Azure. Recently, Visual Studio 2015 was released with support for Python.