Pandas Brain Teasers: Exercise Your Mind by Miki Tebeka
these are kinda fun
How to Publish a Python Package to PyPI - Mouse Vs Python
nice simple guide with links to resources
pyOpenSci Python Package Guide — Python Packaging Guide
From Python to Numpy
presents "a different approach concentrating on the migration from Python to Numpy through vectorization..." with "a lot of techniques that you don't find in books and such techniques are mostly learned through experience"
Introduction | Coldtype Tutorial
"[D]o you want to make typographic graphics and animations with code? This is a good & idiosyncratic way to do that." this is tremendous, wow!!
LPython
"a Python compiler that aims to provide optimized machine code by compiling type-annotated Python code. It offers several backends, including LLVM, C, C++, and WASM, which allow it to generate code into multiple target languages simultaneously."
Introduction - Textual
terminal-based gui toolkit for python
Scripting Curves In Blender With Python | by Jeremy Behreandt | Medium
wow. thorough and easy to follow, definitely need to go through this a some point
Getting Started with Mastodon API in Python | Martin Heinz | Personal Website & Blog
Introduction to Cultural Analytics & Python — Introduction to Cultural Analytics & Python
notebooksharing.space | fastest way to share your notebooks
Watertight vector maps from raster images
raster to vector conversion in a clever way that doesn't result in double contours around strokes
Layout Parser
could be fun to play with. "With the help of state-of-the-art deep learning models, Layout Parser enables extracting complicated document structures using only several lines of code. This method is also more robust and generalizable as no sophisticated rules are involved in this process."
Applied Language Technology - YouTube
spacy 3 tutorials
htrc/htrc-feature-reader: Tools for working with HTRC Feature Extraction files
python interface for the HTRC Extracted Features dataset
PY4E - Python for Everybody
Advanced NLP with spaCy · A free online course
should make sure I know all this stuff
Evennia
python-based mush/moo thing! could be fun to play around with
jam: Integrating Arduino Development with Jupyter IPython Notebooks
rad as fuck imo: send your arduino sketch in a cell, read and plot incoming data in another cell
Neuraxio/Neuraxle: Build neat pipelines with the right abstractions to do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.
"a Machine Learning (ML) library for building neat pipelines, providing the right abstractions to both ease research, development, and deployment of your ML applications. [...] [T]he optimizer is a model itself that maps features of datasets and features of the hyperparameter space to a guessed performance score to predict the best hyperparameters."
Finding Natural Breaks in Data with the Fisher-Jenks Algorithm - Practical Business Python
like k-means but 1d, good overview
Overview of Matrix Factorization Techniques using Python
Why is my validation loss lower than my training loss? - PyImageSearch
TensorFlow 2.0 + Keras Crash Course.ipynb - Colaboratory
"This document serves as an introduction, crash course, and quick API reference for TensorFlow 2.0." helpful, works up from the very basics
Endlessh: an SSH Tarpit « null program
"it seems asycio is perfectly suited for writing tarpits!"
Six easy ways to run your Jupyter Notebook in the cloud
via @arnicas on twitter, a helpful list. (but binder is the only non-proprietary option listed, which makes me sad)