The Select Scheme tool's default setting is Default Text, but the list includes Web Source Code, XML, JavaScript, VBScript, C and C++, SQL, Perl, Pascal, Batch, and Diff files, among many others. Notepad2's toolbar offered not only basic controls like Open, Browse, and Save but also useful text tools such as Word Wrap and Zoom In and Out.īetter still are the two built-in Scheme tools, Select Scheme and Customize Schemes. The document opened inside Notepad2 and worked like any text file. We opened a new text document from Explorer. Notepad2's installer asked us if we wanted to replace Notepad as the default text editor in Windows, though it says you can uninstall Notepad2 from the Control Panel to restore Notepad as the default text editor. We tried it in 64-bit Windows Home Premium SP1. It's available in separate downloads for 32-bit and 64-bit versions of Windows. Notepad2 offers many more features than Notepad and can replace it as the default text file tool in Windows. But writers, programmers, and others who use text files a lot know that Notepad has its limitations. Mu has a “Mode” button which can be used to write Python, MicroPython and CircuitPython.Notepad2's developer, Flo's Freeware, notes that there's nothing wrong with Notepad, the default text editor in Windows: it's lightweight, fast, and fully integrated with the operating system. Mu has one feature that elevates it above other beginner editors. If you are starting out with Python, Mu is an excellent choice to introduce the language. Modules are libraries of code that can be used to add new features, for example RPi.GPIO and GPIO Zero are modules that enable Python to talk to the Raspberry Pi GPIO. This is where the ease of Mu works against it, as there is no means to install Python modules. The default is to write Python 3 code, to be run on our machine. It can output the results of our code and it can be used to access the REPL. A builtin checker and tidy application will check and format your code using Python style guidelines. We can zoom in and out of the code, useful when presenting to large groups. A plotter can be used to visualize data via a graph. The Python Shell (REPL, Read, Eval, Print, Loop) is available to test ideas. Large icons and clear text identify the function of each button.

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