Python provides two main ways to run Python code: the Python interpreter and Python scripts. Here's a brief overview of each and how to use them, along with an example…
Linear algebra plays a fundamental role in data science. It is used in many areas such as linear regression, principal component analysis (PCA), singular value decomposition (SVD), eigendecomposition, and more.…
Lets find the solution by combining dots. Solution Dots: Dot 1 : is PCA based on SVD? Yes, Principal Component Analysis (PCA) is based on the Singular Value Decomposition (SVD)…
os.path os.path is a module in the standard library of Python that provides functions for interacting with the file system. The os.path module provides a wide range of functions to…
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,…
I recently worked on a project at work where we were given an array of documents and had to summarize each of them in as few sentences as possible. As…
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)…
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…