Jake @Scicoding - Scicoding (Page 3)

Scicoding

Jake @Scicoding

Practical Guide to Autocorrelation

Signal processing

Practical Guide to Autocorrelation

Autocorrelation, also known as serial correlation, is a statistical concept that measures the degree of similarity between a given time series and a lagged version of itself over successive time intervals. It describes the relationship between a variable's current value and its past values in a time series. Autocorrelation is

How to visualize CSV files using Python

How to visualize CSV files using Python

The ability to plot CSV files using Python is important because it enables you to analyze, visualize, and process data efficiently and effectively. This, in turn, facilitates data-driven decision-making and better communication of results. There are various benefits of using both CSV and Python for analysis: 1. Versatility: CSV files

Getting Started with Pybind11

Getting Started with Pybind11

Pybind11 is a lightweight header-only library that provides a means to create Python bindings for C++ code. It is a popular choice for exposing C++ classes, functions, and other components to Python, enabling seamless interaction between the two languages. Pybind11 makes it easy to create Python extension modules using C+

How to Calculate Matrix Inverse in Python

How to Calculate Matrix Inverse in Python

Matrix inversion is one of the fundamental operations in linear algebra. It's analogous to division in ordinary algebra. Thus, making it crucial, for example, when solving many linear systems. All essential Python linear algebra libraries support matrix inversion. We will have a look two most popular ones: NumPy and SciPy.

How to Calculate Cholesky Decomposition in Python

How to Calculate Cholesky Decomposition in Python

Cholesky decomposition is a widely used matrix factorization method for hermitian positive-definite matrices. It provides many computational benefits for varying algorithms, such as solving linear systems. We go through how to calculate Cholesky decomposition using the essential scientific computation libraries for Python: NumPy & SciPy. Additionally, we go show you a

How to Calculate Eigenvalue Decomposition in Python

How to Calculate Eigenvalue Decomposition in Python

Eigenvalue decomposition (EVD) or eigendecomposition for short is an important matrix factorization method, which is extensively used in various science and engineering applications. In this post, we will go through the most popular Python packages for calculating the eigenvalue decomposition. These packages are 1. NumPy: Anyone doing scientific computation and

How to Calculate Singular Value Decomposition (SVD) in Python

How to Calculate Singular Value Decomposition (SVD) in Python

Singular value decomposition (SVD) is one of the most significant matrix decomposition techniques. It should be in the toolbox of anyone working on linear algebra. Python has many great packages that provide support for basic linear algebra. We will go through some of these, and also see how to create

Python PCA using SKLearn for Image Compression Application

Python PCA using SKLearn for Image Compression Application

Principal component analysis (PCA) provides an intuitive and analytically sound basis for various applications. Image compression is one of the most applied uses of PCA. We are utilizing scikit-learn or sklearn for short to perform the heavy lifting in principal component analysis. No point in reinventing the wheel, by implementing

How to Calculate Percentile in Python?

How to Calculate Percentile in Python?

Percentiles are among the most common tools for statistical analysis. They are used to determine a number (score) under which a given percentage of samples fall into. For instance, the 50% percentile is essentially the median, the value under which half of the samples fall into. I will walk through

How to Compile Perf with all Features on?

How to Compile Perf with all Features on?

Want perf with all the features. Here's how to compile it yourself with all features enabled.

Measuring Function Execution Time with Perf

Measuring Function Execution Time with Perf

In this post, I will show you how to use perf to evaluate function or code block execution time. This requires a bit of effort as perf is essentially a sampling profiler, which collects execution statistics periodically and when specific events occur. As such, perf does not automatically execution time

How to Perform Perf Profiling in WSL2

How to Perform Perf Profiling in WSL2

In this post, we take a look at what is the status of code profiling using perf on WSL2? Suppose you are like me, and your company policy forces you to work with Windows-based systems. In that case, Windows Subsystem for Linux (WSL) is likely the most convenient way of

$How to get beautiful mathematics in Canva$

How to get beautiful mathematics in Canva

Learn how to get beautiful and complex mathematical equations and expressions into Canva.

4 Ways to Calculate Convolution in Python

4 Ways to Calculate Convolution in Python

How to calculate convolution in Python. Here are the 3 most popular python packages for convolution + a pure Python implementation.

Calculating Power Spectral Density in Python

Calculating Power Spectral Density in Python

How to calculate power spectral density (PSD) in Python using the essential signal processing packages.