Shapely
NumPy
Shapely | NumPy | |
---|---|---|
7 | 272 | |
3,678 | 26,413 | |
1.1% | 1.1% | |
8.4 | 10.0 | |
16 days ago | 1 day ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Shapely
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Object oriented programming in GiS
https://github.com/shapely/shapely First paragraph of readme agrees w/ me
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I used Python to control a custom stop-motion animation drawing machine
The frames' vector data is generated using a sketch made with my vsketch framework (it involves loading GeoJSON data, processing it with Shapely, and projecting it in 3D with NumPy).
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GIS Developer career path
As has been said the definition of a GIS dev is far from written in stone, but to chime in from a personal standpoint: most of what I do is data wrangling/analysis with shapely/geopandas for vectors (or pygeos / fiona for performance when data volumes get large, but seeing as Shapely 2.0 just got released one can likely skip this part) + rasterio for rasters as well as parallelising these tasks for performance if needed (ray is great for that) and then performing machine learning learning against the data (mostly with sklearn and torch).
- shapely 2.0b1 released
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Using QGIS Processing Toolbox in an Independent Application?
geopandas and the underlying geometry library shapely provide an alternative to the majority of the basic GIS functionality of qgis. See e.g. https://autogis-site.readthedocs.io/en/latest/ for a tutorial for the basics of these libraries.
- Shapely 1.8.0 released
- Trouble interpreting traceback from attempting to use DeepLabCut
NumPy
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Dot vs Matrix vs Element-wise multiplication in PyTorch
In NumPy with @, dot() or matmul():
- NumPy 2.0.0 Beta1
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Element-wise vs Matrix vs Dot multiplication
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication.
- JSON dans les projets data science : Trucs & Astuces
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JSON in data science projects: tips & tricks
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:
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Introducing Flama for Robust Machine Learning APIs
numpy: A library for scientific computing in Python
- help with installing numpy, please
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A Comprehensive Guide to NumPy Arrays
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy.
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Why do all the popular projects use relative imports in __init__ files if PEP 8 recommends absolute?
I was looking at all the big projects like numpy, pytorch, flask, etc.
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NumPy 2.0 development status & announcements: major C-API and Python API cleanup
I wish the NumPy devs would more thoroughly consider adding full fluent API support, e.g. x.sqrt().ceil(). [Issue #24081]
What are some alternatives?
geopy - Geocoding library for Python.
SymPy - A computer algebra system written in pure Python
GeoDjango - GeoDjango provides geospatial extensions to the Django web dev framework
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
geojson - Python bindings and utilities for GeoJSON
blaze - NumPy and Pandas interface to Big Data
geoip2 - Python code for GeoIP2 webservice client and database reader
SciPy - SciPy library main repository
django-countries - A Django application that provides country choices for use with forms, flag icons static files, and a country field for models.
Numba - NumPy aware dynamic Python compiler using LLVM
geocoder - :earth_asia: Python Geocoder
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).