notebooks

No	Category	Brief Description	Module	Notebook	Post
1	Machine Learning	LULC classification (XGBoost)	xgboost, rasterio
2	Data Processing	Downloading data using Pooch	pooch
3	Data Processing	Spatial Join	geopandas
4	Data Processing	Raster Datasets using Dataclasses	dataclasses
5	Data Processing	Window Processing	rasterio
6	Best Practices	Loguru for logging	loguru
7	Data Processing	Contextily for Basemaps	contextily
8	Best Practices	Pytest for testing workflows	pytest
9	Machine Learning	LULC classification (KMeans)	scikit-learn
10	Best Practices	Pathlib for Path manipulation	pathlib
11	Best Practices	PyYaml for config files	pyyaml
12	Best Practices	DefaultDict	collections
13	Best Practices	NatSort	natsort
14	Projects	Landsat Time Series	landsatxplore
15	Best Practices	SimpleNamespace	types
16	Best Practices	Walrus (:=)
17	Best Practices	Temporary Directory	tempfile
18	Best Practices	Caching in a folder	joblib
19	Best Practices	Zipfile to extract files	zipfile
20	Best Practices	Google's fire to create CLI tool	fire
21	Best Practices	Read Tables from Links	pandas
22	Data Processing	__matmul__ (@)
23	Best Practices	Geopandas engine parameter	geopandas, pyogrio
24	Data Processing	Heatmap (points dataset)	numpy, seaborn
25	Best Practices	Reading secrets	python-dotenv
26	Best Practices	Physical units calculation	unyt
27	Best Practices	zip_longest for unequal iterables	itertools
28	Best Practices	(easy!) multiprocessing	joblib
29	Data Processing	Leaf Area Index	rasterio