3d printing
Why I Started Making After Office Hours
How I Started a Creative Side Hustle Using Digital Fabrication— and How I Balance It with a Full-Time Job While Sharing My Journey
DataAnalysis
Let me show you how I use open-source Python libraries to handle MDF files from Automotive testing and calibration environments
CAD
I share my workflow on Autodesk Fusion to export flattened surfaces for laser cutting
Python
I share the intuition that helped me understand Pandas GroupBy method and examples of how it can be so useful when analyzing data.
How I Started a Creative Side Hustle Using Digital Fabrication— and How I Balance It with a Full-Time Job While Sharing My Journey
I researched the main optimization algorithms used for training artificial neural networks, implemented them from scratch in Python and compared them using animated visualizations.
I describe the algorithm of gradient descent, which is used to adjust the weights of an ANN. A summary of information from different sources that I used when studying this topic.
I share some notes about the basic math behind feed-forward Artificial Neural Networks (ANNs).
I used a lumped-body approach to approximate the properties of a brake disc and simulated its temperature increase after 100 braking maneuvers.
I designed and built a QMK/VIAL macro pad from scratch. Let me tell you about the things I learned and useful resources I found as a beginner.
Running a creative small business along a full-time job using digital fabrication
I researched the main optimization algorithms used for training artificial neural networks, implemented them from scratch in Python and compared them using animated visualizations.
I describe the algorithm of gradient descent, which is used to adjust the weights of an ANN. A summary of information from different sources that I used when studying this topic.
A practical example of how to use Python to analyze the results of an experimental test consisting of a sequence of stationary points
I share some notes about the basic math behind feed-forward Artificial Neural Networks (ANNs).
Moving averages are the go-to data smoothing trick for many people in Engineering and Data Analytics. However, they aren't always the best choice.
I estimated the heat convection coefficient of a Formula SAE car. Let me share what I learned.
I used a lumped-body approach to approximate the properties of a brake disc and simulated its temperature increase after 100 braking maneuvers.
I studied the brake load distribution of a Formula car using a simple Matlab script. Let me show you how I did it.
If you are writing how-to posts or guides, you should do this. For any kind of content, really.
I wrote a Python script to get the size of a 3D print job from Gcode. Let me show you how it works.
The first issue of Making - a newsletter about making stuff after office hours. Welcome to a maker, learner, and side hustler's lair.
I configured my macro pad to improve the way I use Simulink. See how you can use custom shortcuts to save time.