by Sharp Sight | Oct 15, 2018

The NumPy linspace function (sometimes called np.linspace) is a tool in Python for creating numeric sequences. It’s somewhat similar to the NumPy arange function, in that it creates sequences of evenly spaced numbers structured as a NumPy array. There are some...
by Sharp Sight | Oct 8, 2018

The Numpy arange function (sometimes called np.arange) is a tool for creating numeric sequences in Python. If you’re learning data science in Python, the Numpy toolkit is important. The NumPy arange function is particularly important because it’s very...
by Sharp Sight | Oct 1, 2018

Let’s talk about the NumPy zeros function. If you’re doing data science in Python, you need to be able to work with numerical data. One of the primary tools for working with numerical data is the NumPy array. In some cases, you will have data that you can...
by Sharp Sight | Sep 23, 2018

NumPy arrays are an important component of the Python data science ecosystem. When working with NumPy arrays, you’re going to need to be able to perform basic data manipulation. In particular, you may need to change the “shape” of the data; you may...
by Sharp Sight | Sep 17, 2018

One of the cornerstones of the Python data science ecosystem is NumPy, and the foundation of NumPy is the NumPy array. That being the case, if you want to learn data science in Python, you’ll need to learn how to work with NumPy arrays. In this blog post,...