IMTI

This article covers solving linear systems in Go using the gonum library, including direct methods with mat.Solve, LU decomposition, and Cholesky decomposition for positive-definite matrices.

This article covers matrix fundamentals in Go using the gonum library: matrix creation, basic arithmetic operations, and common matrix manipulations.

This article begins a new series on linear algebra in Go, demonstrating how to perform numerical computations using the gonum library.

This article covers practical machine learning applications, the final part of the series.

I’ve been distracted for over a year now, writing a (~500 page) end-to-end tutorial on constructing data-centric platforms with Kubernetes.

This article covers Principal Component Analysis (PCA), part eleven of the series.

This article covers Singular Value Decomposition (SVD), part ten of the series.

This article covers least squares and regression, part nine of the series.

This article covers orthogonality and projections, part eight of the series.

This article continues the exploration of eigenvalues and eigenvectors, focusing on diagonalization, computing matrix powers, and handling complex eigenvalues.

This article on eigenvalues and eigenvectors is part six of an ongoing crash course on programming with linear algebra.

This article on vector spaces and subspaces is part five of an ongoing crash course on programming with linear algebra, demonstrating concepts and implementations in Python.

This article on matrix inverses and determinants is part four of an ongoing crash course on programming with linear algebra, demonstrating concepts and implementations in Python.

This article on systems of linear equations is part three of an ongoing crash course on programming with linear algebra, demonstrating concepts and implementations in Python.

This article on matrices is part two of an ongoing crash course on programming with linear algebra, demonstrating concepts and implementations in Python.

This article on vectors is part of an ongoing crash course on linear algebra programming, demonstrating concepts and implementations in Python.

We should never stop learning, and thanks to the internet we can collect these fun certificates.

Kafka is a fast, horizontally scalable, fault-tolerant, message queue service.

The eth-netstats project provides a great dashboard interface for monitoring the status of an Ethereum Blockchain from the perspective of its nodes.

Blockchain technologies have been made famous by Cryptocurrencies such as Bitcoin and Ethereum.

Blockchain (The Internet of Transactions) may be a recent entry to the technology landscape.

kubefwd helps to enable a seamless and efficient way to develop applications and services on a local workstation.

FaaS or Function as a Service also known as Serverless computing implementations are gaining popularity.

The following is an overview for querying Elasticsearch.

Developing on our local workstations has always been a conceptual challenge for my team when it comes to remote data access.

IOT devices, Point-of-Sale systems, application events or any client that sends data destined for indexing in Elasticsearch often need to send and forget, however, unless that data is of low value there needs to be assurance that arrives at its final dest…

This guide walks through a process for setting up Kibana within a namespace on a Kubernetes cluster.

Installing production ready, Elasticsearch 6.2 on Kubernetes requires a hand full of simple configurations.

RBAC (Role Based Access Control) allows our Kubernetes clusters to provide the development team better visibility and access into the development, staging and production environments than it has ever had in the past.

There is an overwhelming number of options for developers needing to provide data visualization.

I create a lot of data visualizations for clients, many of which are internal, portal-style websites that present data in real time, as well as give options for viewing reports from previous time-frames.

Many of the resources on Cloud Native Microservices show you how easy it is to get up and running with AWS or GKE.

Pandas bring Python a data type equivalent to super-charged spreadsheets.

Python is one of The Most Popular Languages for Data Science, and because of this adoption by the data science community, we have libraries like NumPy, Pandas and Matplotlib.

Reverse proxies are standard components in many web architectures, from Nginx in front of php-fpm serving Drupal or Wordpress, to endless mixtures of load balancers, security appliances, and popular firewall applications.

Jupyter Notebooks have been a popular technology in the Python data science community for a while now, especially in academics.

This article is a quick tour of basic Python 3 syntax, components and structure.

Using ingress-nginx on Kubernetes makes adding CORS headers painless.

txToken is a small high performance microservice utility container. txToken is used for adding JSON Web Token based security to existing or new API development. txToken is specifically for systems that communicate in JSON over HTTP. txToken is called from…

Basic Auth is one of the oldest and easiest ways to secure a web page or API endpoint.

Use cert-manager to get port 443/https running with signed x509 certificates for Ingress on your Kubernetes Production Hobby Cluster. cert-manager is the successor to kube-lego and the preferred way to “automatically obtain browser-trusted certificates, w…

Customize the Upstream Nameservers that kube-dns uses when Pods look up external hostnames from within a Kubernetes cluster.

Helm is the de facto package manager for Kubernetes.

There are more than a handful of ways to set up port 80 and 443 web ingress on a custom Kubernetes cluster.

I use a few Kubernetes clusters on a daily basis, and I use kubectl to access and configure them from my workstation.

I have had this collection of old external drives hanging around for years.

Just set up a brand new cluster?

Setting up a production-grade Kubernetes cluster can be done on a hobby budget, and if this is true why mess around with a lesser grade.

The following is an attempt at explaining the basics of an SQL query, and more importantly how I believe you can best think through them.

A recurring requirement for my IOT projects involves keeping a set of files synced with a central server.