...it close() statement is that you have to worry about people forgetting to call it at all or forgetting to place it in a finally block to prevent a resource leak when an exception occurs. To use the with statement, create a class with the following methods: def __enter__(self) def __exit__(self...

... Using -s option will print output of all functions, which may be too much. If you need particular output, the doc page you mentioned offers few suggestions: Insert assert False, "dumb assert to make PyTest print my stuff" at the end of your function, and you...

... the module were a top level module, regardless of where the module is actually located on the file system. In Python 2.6, they're adding the ability to reference modules relative to the main module. PEP 366 describes the change. Update: According to Nick Coghlan, the recommended alternative is ...

... importlib was added to Python 3 to programmatically import a module. It is just a wrapper around __import__, see the docs. import importlib moduleName = input('Enter module name:') importlib.import_module(moduleName) Note: the .py extension should be removed from mod...

SciPy appears to provide most (but not all [1]) of NumPy's functions in its own namespace. In other words, if there's a function named numpy.foo , there's almost certainly a scipy.foo . Most of the time, the two appear to be exactly the same, oftentimes even pointing to the same function object. ...

...ur goal is to avoid a def, this obviously doesn't cut it. It does, however allow you to conditionally raise exceptions, e.g.: y = lambda x: 2*x if x < 10 else raise_(Exception('foobar')) Alternatively you can raise an exception without defining a named function. All you need is a strong stom...

I'm on Ubuntu, and I want to install Boost. I tried with 7 Answers 7 ...

...butes, the short answer is: no. The problem is that the attributes are actually defined as the arguments accepted by the getattr built-in function. As the user can reimplement __getattr__, suddenly allowing any kind of attribute, there is no possible generic way to generate that list. The dir functi...

... & part two being the confusion surrounding Training set. In general all of Machine Learning Algorithms need to be trained for supervised learning tasks like classification, prediction etc. or for unsupervised learning tasks like clustering. During the training step, the algorithms are taught...

Naturally, for bool isprime(number) there would be a data structure I could query. I define the best algorithm , to be the algorithm that produces a data structure with lowest memory consumption for the range (1, N], where N is a constant. Just an example of what I am looking for: I could rep...