Random Walks The simulation of random walks provides an illustrative application of utilizing array operations. Let’s first consider a simple random walk starting at 0 with steps of 1 and…
Pseudorandom Number Generation The numpy.random module supplements the built-in Python random with functions for efficiently generating whole arrays of sample values from many kinds of probability distributions. For example, you…
File Input and Output with Arrays NumPy is able to save and load data to and from disk either in text or binary format. In this section I only discuss…
Mathematical and Statistical Methods A set of mathematical functions that compute statistics about an entire array or about the data along an axis are accessible as methods of the array…
Universal Functions: Fast Element-Wise Array Functions A universal function, or ufunc, is a function that performs element-wise operations on data in ndarrays. You can think of them as fast vectorized…
Boolean Indexing Let’s consider an example where we have some data in an array and an array of names with duplicates. I’m going to use here the randn function in…
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Agenda MLOps is enabling machine learning applications in production at scale. MLOps Through 2023, atleast 50% of the IT leaders will scuffle to move their AI predictive projects from proof…
Basic Indexing and Slicing NumPy array indexing is a rich topic, as there are many ways you may want to select a subset of your data or individual elements. One-dimensional…
NumPy Basics: Arrays and Vectorized Computation NumPy, short for Numerical Python, is one of the most important foundational packages for numerical computing in Python. Most computational packages providing scientific functionality…
Network intrusion is a growing threat with potentially severe impacts, which can be damaging in multiple ways to network infrastructures and digital/ intellectual assets in the cyberspace. The approach most…