python-3.5

I'm trying to save a numpy matrix (Nx3, float64) into a txt file using numpy.savetxt: np.savetxt(f, mat, fmt='%.5f', delimiter=' ') This line worked in python 2.7, but in python 3.5, I'm getting the following error: TypeError: Mismatch between array dtype ('float64') and format specifier ('%.5f %.5f %.5f') When I'm stepping into the savetxt code, the print the error (traceback.format_exc()) in the catch block (numpy.lib.npyio, line 1158), the error is completely different: TypeError: write() argument must be str, not bytes The line of code resulting the exception is the following: fh.write

I have few blocking functions foo , bar and I can't change those (Some internal library I don't control. Talks to one or more network services). How do I use it as async?. E.g. I wan't to do the following. results = [] for inp in inps: val = foo(inp) result = bar(val) results.append(result) This will be inefficient as I can call foo for the second input while I am waiting for the first and same for bar . How do I wrap them such that they are usable with asyncio (i.e new async , await syntax)? Lets assume the functions are re-entrant. i.e it is fine to call foo again when already a previous foo

Documentations say: @asyncio.coroutine Decorator to mark generator-based coroutines. This enables the generator use yield from to call async def coroutines, and also enables the generator to be called by async def coroutines, for instance using an await expression. _ @types.coroutine(gen_func) This function transforms a generator function into a coroutine function which returns a generator-based coroutine. The generator-based coroutine is still a generator iterator, but is also considered to be a coroutine object and is awaitable. However, it may not necessarily implement the __await__()

With the asyncio library I've seen, @asyncio.coroutine def function(): ... and async def function(): ... used interchangeably. Is there any functional difference between the two? Zero Piraeus Yes, there are functional differences between native coroutines using async def syntax and generator-based coroutines using the asyncio.coroutine decorator. According to PEP 492 , which introduces the async def syntax: Native coroutine objects do not implement __iter__ and __next__ methods. Therefore, they cannot be iterated over or passed to iter() , list() , tuple() and other built-ins. They also cannot

I am using python 3.5.2 version in windows 7 and tried using python3 app.py. I am getting this error message 'python3' is not recognized as an internal or external command, operable program or batch file. any specific cause about why python3 command is not working? I also verified that the PATH is added to environment variables. There is no python3.exe file, that is why it fails. Try: py instead. py is just a launcher for python.exe. If you have more than one python versions installed on your machine (2.x, 3.x) you can specify what version of python to launch by py -2 or py -3 HaTiMSuM Python3

Is there a way to set the Python 3.5.2 as the default Python version on CentOS 7? currently, I have Python 2.7 installed as default and Python 3.5.2 installed separately. I used the following commands mv /usr/bin/python /usr/bin/python-old sudo ln -fs /usr/bin/python3 /usr/bin/python but after that yum gives the error. -bash: /usr/bin/yum: /usr/bin/python: bad interpreter: No such file or directory is there something I'm missing here? NOTE: its the similar but opposite question of Linux CentOS 7, how to set Python2.7 as default Python version? If this sudo ln -fs /usr/bin/python3 /usr/bin

I want to use generator yield and async functions. I read this topic , and wrote next code: import asyncio async def createGenerator(): mylist = range(3) for i in mylist: await asyncio.sleep(1) yield i*i async def start(): mygenerator = await createGenerator() for i in mygenerator: print(i) loop = asyncio.get_event_loop() try: loop.run_until_complete(start()) except KeyboardInterrupt: loop.stop() pass But i got the error: SyntaxError: 'yield' inside async function How to use yield generator in async function? Mikhail Gerasimov Upd: Starting with Python 3.6 we have asynchronous generators and