An overview of esbuild, a JS bundler up to 100x faster than its competitors.
Creating grids with native HTML5 and the "display: flex" CSS property.
How to encode an image dataset to reduce its dimensionality and visualize it in the 2D space.
Where are voice memos stored on the Mac?
How to use TensorFlow inside of a Docker container.
How to sort a Vue.js view by different attributes and toggle different view modes.
How to hide un-compiled Vue templates while loading.
How to build a website with the Next.js React framework and TypeScript.
# TL;DR npx create-next-app@latest --ts cd my-app npm run build npm start # ready - started server on 0.0.0.0:3000, url: http://localhost:3000
Load Vue JS and Lodash from CDNs.
Here's a video in which I test if OpenAI's DALL-E can generate usable texture maps from an uploaded image.
This texture comes with one of Apple's project examples and the idea of generating textures with DALL-E came from Adam Watters on Discord.
My video on how to use the YouTube Data API v3 to upload videos to your channel from Python scripts and the command line is now on YouTube.
The video walks through how to create a project in the Google API Console, register an application, generate credentials, and use them in a Python script that can be called from the command-line interface to upload videos to your YouTube account with a web browser.
conda create -n yt python=3.8 -y && conda activate yt pip install google-api-python-client pip install google_auth_oauthlib python -c "from apiclient.discovery import build;print(build)"
As the upload_video.py sample is written in Python 2, there are minor edits that need to be done to upgrade to Python 3. (Here's the Python 3 version.)
from http import client
You can delete the previously created Python environment when you're done as follows.
conda remove -n yt --all -y