Using C#, a simple web server, and Docker, I’ve been putting together an example of one approach for how to create a “Fiddle” web app to run Python (or other script languages) in a Docker container.
The source code can be found on GitHub, but beware that at the time of this writing, the implementation isn’t complete (only “Run on Docker” and “Run on Host” buttons do anything) and I’m in the midst of writing the article on how I put this together (also in that repo – watch the progress as I write the article and finish the web app!)
One of the pleasures in life is mentoring another developer, particularly when the other developer is smart and motivated to learn. This article, on populating a tree from a collection of paths, was the result of some weekend prep work and is a good case study on refactoring. By going through the process myself and documenting it, I was able to present the problem in general terms, and the person I was mentoring did the heavy mental lifting with only occasional guidance on my part. This worked because I was prepared — had I not done this prep work, I would have taken away from my mentee’s experience to actually solving the problem himself.
Well, that was a “first!” — Two articles:
Understanding Merkle Trees
Full Duplex Asynchronous Read/Write with Named Piped
have won first place in Code Project‘s monthly article competition in the categories of “Best Everything Else” and “Best C# Article” for the month of March 2017.
And as always, with great appreciation to the amazing people @codeproject who have made Code Project possible!
I’ve posted a new article on Code Project, explaining Merkle trees and providing an interactive demo of how audit and consistency proofs work. Read all about it!
I’ve added some select DRAKON shapes for creating flowcharts. The Python code in the lower right editor is generated from the flowchart, and the output from the run is shown on the left.
PyLint is also now integrated into FlowSharpCode’s PythonCompilerService. This really improves the development process as many syntactical errors are detected before even running the code.
Also, the code generator creates an execution tree which independent of the language syntax, which means that support for other languages is easily added. Now granted, the code itself in each of the DRAKON shapes is Python code, but I have some ideas of how to make that code agnostic as well.
I’ve posted an article illustrating both HTTP and WebSockets intercommunication between the FlowSharp canvas and an application written with FlowSharpCode shapes.
Read the full article here.
Lots of changes to FlowSharp recently!
- Refactoring of code components into services
- UI now implements docking panels and multiple documents
- FlowSharp and FlowSharpCode are now unified
- Bookmark navigation of shapes
- Ctrl-Tab navigation of shape selection history
Read about it more on the Code Project article!