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Python is an interpreted language, that's no debate. Even if Python is 'compiling' the code into Bytecode, it is not a complete compilation procedure, and besides this, Python does not 'compile' all code (values and types) into bytecode. My analysis was ran against the following code: Framework used to test the statement's correctness
As a side note, the __r*__ version of these (like __rxor__ or __radd__) will be invoked from the argument appearing on the right hand side of the infix symbol, and only if the call to the function for the left hand symbol doesn't work.
(2) A low level language will make you a better programmer - alternatively a functional language will help as well. (1) Low-level: go with C. Functional, try Scheme or Haskell. C also gives you the ability to write extension modules to Python if you ever have the need.
PEP 8 is a guideline, not a law. It is an option on top of Python, not part of the official language. If everybody uses the same style, this would be preferred in a bigger company. All my Python programs at home run perfect with camelCaseNames, I will not change this unless people can prove my code is runner slower or has wrong behavior.
A high level programming language isn't necessarily slower than than a low level programming language. I'll give you an example: scala is much higher level than java and provides many ways to work with multithreading and collections that perform better than it's java's equivalent.
Using ANTLR (or whatever parser generator understands the grammar you found in step 3), build a Python module that understands the language you chose in step 2. ANTLR has some level of support for a Python "target" (meaning that the parser code will be in Python, as opposed to making a parser that understands the Python language).
I think you will find the problem of defining the programming languages to be the hard part of your task. (If you want to parse Python, I'm sure you can get that off the shelf in Python). Parsing Java >=1.5 will be harder. Parsing C++ will be very difficult; wait till you get to C++11x.
Android, Python ! When I saw these two keywords together in your question, Kivy is the one which came to my mind first. Before coming to native Android development in Java using Android Studio, I had tried Kivy. It just awesome. Here are a few advantage I could find out. Simple to use. With a python basics, you won't have trouble learning it ...
Python is a language, According to Wikipedia, "A programming language is a notation for writing programs, which are specifications of a computation or algorithm". This means that it's simply the rules and syntax for writing code. Separately we have a programming language implementation which in most cases, is the actual interpreter or compiler.
Since you asked this question, GitHub have released the code they use to detect programming languages, Linguist. In my experience, GitHub is very accurate. Language detection. Linguist defines the list of all languages known to GitHub in a yaml file. In order for a file to be highlighted, a language and lexer must be defined there.