Notebook

Whenever I want to scratch an itch or solve a specific problem, I make sure to document everything so that I can remember them in the future. Hopefully, this notebook will interest you as others did.

• 16 Jun 2019 » How to pull a private image from GCR in Drone CI
• 13 Apr 2019 » How to install GDAL/OGR
• 21 Dec 2018 » Add badges to your Google Cloud Builds
• 25 Oct 2018 » Git team workflow: merge or rebase?
• 21 Jun 2018 » Automate Python workflow using pre-commits: black and flake8
• 23 Apr 2018 » A short postmortem on moving to Docker for LaTeX continuous integration
• 04 Feb 2018 » Continuous integration and automatic deployment of LaTeX files
• 31 Jan 2018 » Running a Jupyter notebook from a remote server
• 26 Nov 2017 » A brief soirée with reinforcement learning
• 13 Aug 2017 » Understanding softmax and the negative log-likelihood
• 24 Feb 2017 » How to stream Twitter using Python
• 21 Feb 2017 » How to send data from RPI to Server
• 21 Feb 2017 » How to make a CanvasJS Chart from MySQL Data
• 17 Feb 2017 » Implementing a two-layer neural network from scratch
• 14 Feb 2017 » Implementing a softmax classifier
• 11 Feb 2017 » Implementing a multiclass support-vector machine
• 09 Feb 2017 » Implementing a k-Nearest Neighbor classifier
• 04 Feb 2017 » Solving the Inverse Kinematics problem using Particle Swarm Optimization
• 25 Jan 2017 » Solving the Forward Kinematics of a Stanford Arm
• 18 Jan 2017 » Solving the travelling salesman problem using ant colony optimization
• 17 Jan 2017 » Training a neural network using particle swarm optimization
• 17 Jan 2017 » Training a neural network using differential evolution