Python is a popular programming language for data analysis due to its easy-to-use syntax and extensive libraries for data manipulation, visualization, and machine learning. Data Processing and Transformation: Python can…
VSCode Visual Studio Code (VSCode) is a good tool for machine learning and data science. It has many features that make it a suitable choice for these tasks, including: Integrated…
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.…
In the 1st lecture, I covered how to get root window ready using tkinter GUI toolkit. In this lecture we will be covering how to design basic interface using tkinter…
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…
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…