python-3.5

Has anyone implemented type hinting for the specific numpy.ndarray class? Right now, I'm using typing.Any , but it would be nice to have something more specific. For instance if the numpy people added a type alias for their array_like object class. Better yet, implement support at the dtype level, so that other objects would be supported, as well as ufunc . It looks like typing module was developed at: https://github.com/python/typing The main numpy repository is at https://github.com/numpy/numpy Python bugs and commits can be tracked at http://bugs.python.org/ The usual way of adding a

Lets say that I have this code inside a JavaScript file: var x = 10; x = 10 - 5; console.log(x); function greet() { console.log("Hello World!"); } greet() How would I use Python to execute this code and "print" x and Hello World! ? Here is some pseudo code that further explains what I'm thinking: # 1. open the script script = open("/path/to/js/files.js", "r") # 2. get the script content script_content = script.read() # 3. close the script file script.close() # 4. execute the script content and "print" "x" and "Hello World!" x = js.exec(script_content) And, the expected result would look like

I sometimes used map if there was a function/method that was written in C to get a bit extra performance. However I recently revisited some of my benchmarks and noticed that the relative performance (compared to a similar list comprehension) drastically changed between Python 3.5 and 3.6. That's not the actual code but just a minimal sample that illustrates the difference: import random lst = [random.randint(0, 10) for _ in range(100000)] assert list(map((5).__lt__, lst)) == [5 < i for i in lst] %timeit list(map((5).__lt__, lst)) %timeit [5 < i for i in lst] I realize that it's not a good idea