The print() function writes, i.e., “prints”, a string in the console. The return statement causes your function to exit and hand back a value to its caller. The point of functions in general is to take in inputs and return something. The return statement is used when a function is ready to return a value to its caller. For example, here’s … Read more
It depends on how correct you want to be. \n will usually do the job. If you really want to get it right, you look up the newline character in the os package. (It’s actually called linesep.) Note: when writing to files using the Python API, do not use the os.linesep. Just use \n; Python automatically translates that to the proper newline … Read more
Your problem is that you installed two different Pythons, a 32-bit 3.6, and a 64-bit 3.6. The first pip on your PATH is the one for the 32-bit 3.6. So, when you pip install numpy, it’s downloading the 32-bit NumPy, and installing into the site-packages for the 32-bit Python. But your py launcher is defaulting to running the 64-bit 3.6, … Read more
Numpy ndarrays are meant for all elements to have the same length. In this case, your second array doesn’t contain lists of the same length, so it ends up being a 1-D array of lists, as opposed to a “proper” 2-D array. From the Numpy docs on N-dimensional arrays: An ndarray is a (usually fixed-size) multidimensional … Read more
I think the problem is given in the error message, although it is not very easy to spot: ‘Too many indices’ means you’ve given too many index values. You’ve given 2 values as you’re expecting data to be a 2D array. Numpy is complaining because data is not 2D (it’s either 1D or None). This is a … Read more
I think the problem is given in the error message, although it is not very easy to spot: ‘Too many indices’ means you’ve given too many index values. You’ve given 2 values as you’re expecting data to be a 2D array. Numpy is complaining because data is not 2D (it’s either 1D or None). This is a … Read more
Enums have been added to Python 3.4 as described in PEP 435. It has also been backported to 3.3, 3.2, 3.1, 2.7, 2.6, 2.5, and 2.4 on pypi. For more advanced Enum techniques try the aenum library (2.7, 3.3+, same author as enum34. Code is not perfectly compatible between py2 and py3, e.g. you’ll need … Read more
The assert statement exists in almost every programming language. It helps detect problems early in your program, where the cause is clear, rather than later when some other operation fails. When you do… … you’re telling the program to test that condition, and immediately trigger an error if the condition is false. In Python, it’s … Read more
Don’t modify strings. Work with them as lists; turn them into strings only when needed. Python strings are immutable (i.e. they can’t be modified). There are a lot of reasons for this. Use lists until you have no choice, only then turn them into strings.
Try: Docs: https://docs.python.org/3/library/random.html#random.randrange