without looping in Python. Again, this is so all the performance-sensitive work can be done in NumPy itself. Here’s an example: x1 = np.array( [np.arange(0, 10), np.arange(10,20)] ) This creates ...

That was [gnebehay’s] thought when his university studies were too high level, so he decided to write an arithmetic expression parser in Python. It came out in about 100 lines of code.

We'll quickly go through the basic data types of Python (strings, lists, sets, dictionaries), and cover conditionals and loops (if-else, while loops, for). We'll end with a couple of examples, and ...

Learn how to implement backpropagation using automatic differentiation from the ground up in Python—no libraries, just pure ...

If you use Python though, you have access to sympy, the symbolic math library. Sympy is under constant development ... explicitly when they need to deal with complex numbers. For example, when doing a ...