If you haven’t already heard about the latest news in drone technology, you should know that reinforcement learning algorithms are making drones smarter than ever before. Developed by Greg Brockman,…
What’s the difference between virtual reality and augmented reality? It might seem like semantics, but it’s important to understand that the two are not the same thing. Virtual reality (VR)…
Data scraping refers to the process of acquiring data from websites and online sources for data analytics and data science purposes. It can be done by hand or with automated…
A data scientist, also known as a data analyst or a data engineer, is someone who can extract valuable insights from massive amounts of raw data. Though most often associated…
What do data science, big data, and data engineering have in common? If you’re like most people, you’ve probably never heard of these terms before (and definitely not together). But…
Essential Functionality Reindexing An important method on pandas objects is reindex, which means to create a new object with the data conformed to a new index. Consider an example: Input[1]:…
Introduction to Pandas Data Structure Series A Series is a one-dimensional array-like object containing a sequence of values (of similar types to NumPy types) and an associated array of data…
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…