vsketch
NumPy
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vsketch | NumPy | |
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11 | 272 | |
471 | 26,083 | |
- | 2.1% | |
7.4 | 10.0 | |
10 days ago | 6 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | 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.
vsketch
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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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Self Portrait using Pix2Pix and vPype
There isn't a GUI, but that's by design. The CLI format facilitates the integration in automated workflows. The show command does provide a viewer for visualisation at any point in the pipeline. Also, I have another framework (based on vpype) named vsketch which is a plotter-centric python clone of Processing with a viewer and live refresh.
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Chrysalide
Matplotlib for plotter stuff seems tedious indeed ! Definitly check out vsketch, it has an API similar to processing, but focused on generating plotter-ready SVG.
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Problem with installing Pretty Maps
pip install git+https://github.com/abey79/vsketch#egg=vsketchDefaulting to user installation because normal site-packages is not writeableCollecting vsketch Cloning https://github.com/abey79/vsketch to /tmp/pip-install-z2f8qeqh/vsketch_476eb7b32e4a43e9ae29175d979f1267 Running command git clone --filter=blob:none -q https://github.com/abey79/vsketch /tmp/pip-install-z2f8qeqh/vsketch_476eb7b32e4a43e9ae29175d979f1267 Resolved https://github.com/abey79/vsketch to commit 1f28fa8fa491a574d04cbe80ae82f61e3b3d17fb Installing build dependencies ... done Getting requirements to build wheel ... done Preparing metadata (pyproject.toml) ... doneCollecting vpype[all]@ git+https://github.com/abey79/vpype@e8aab428b6790de03e36cd51aa30ca0612a38d87 Cloning https://github.com/abey79/vpype (to revision e8aab428b6790de03e36cd51aa30ca0612a38d87) to /tmp/pip-install-z2f8qeqh/vpype_529e4b4779de41eb909706b17c4bafe5 Running command git clone --filter=blob:none -q https://github.com/abey79/vpype /tmp/pip-install-z2f8qeqh/vpype_529e4b4779de41eb909706b17c4bafe5 Running command git rev-parse -q --verify 'sha^e8aab428b6790de03e36cd51aa30ca0612a38d87' Running command git fetch -q https://github.com/abey79/vpype e8aab428b6790de03e36cd51aa30ca0612a38d87 Resolved https://github.com/abey79/vpype to commit e8aab428b6790de03e36cd51aa30ca0612a38d87 Installing build dependencies ... done Getting requirements to build wheel ... done Preparing metadata (pyproject.toml) ... doneRequirement already satisfied: Shapely[vectorized]<2.0.0,>=1.7.1 in ./.local/lib/python3.10/site-packages (from vsketch) (1.8.0)Collecting bezier>=2021.2.12 Using cached bezier-2021.2.12.tar.gz (313 kB) Preparing metadata (setup.py) ... error ERROR: Command errored out with exit status 1: command: /usr/bin/python -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-z2f8qeqh/bezier_a73eda2d953941fea05d9db7413b7234/setup.py'"'"'; __file__='"'"'/tmp/pip-install-z2f8qeqh/bezier_a73eda2d953941fea05d9db7413b7234/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' egg_info --egg-base /tmp/pip-pip-egg-info-t3gbjrvl cwd: /tmp/pip-install-z2f8qeqh/bezier_a73eda2d953941fea05d9db7413b7234/ Complete output (1 lines): The BEZIER_INSTALL_PREFIX environment variable must be set. ----------------------------------------WARNING: Discarding https://files.pythonhosted.org/packages/cb/e8/0073ac3f92cbe8ced10e5e5822594a8f63b9a3dc91258c681b7ee96b80b0/bezier-2021.2.12.tar.gz#sha256=d0f752aeb420057ab761f962259c7ca00d925750e324c9bb729f2f10ad39529a (from https://pypi.org/simple/bezier/). Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.ERROR: Could not find a version that satisfies the requirement bezier>=2021.2.12 (from vsketch) (from versions: 0.0.1, 0.1.0, 0.1.1, 0.2.0, 0.2.1, 0.3.0, 0.4.0, 0.5.0, 0.6.0, 0.6.1, 0.6.2, 0.6.3, 0.6.4, 0.7.0, 0.8.0, 0.9.0, 0.10.0, 0.11.0, 2020.1.14, 2020.2.3, 2020.5.19, 2021.2.12)ERROR: No matching distribution found for bezier>=2021.2.12
- Cats
- WARNING: pip is being invoked by an old script wrapper.
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prettymaps: A small set of Python functions to draw pretty maps from OpenStreetMap data
FROM jupyter/scipy-notebook:33add21fab64 COPY --chown=${NB_UID}:${NB_GID} requirements.txt /tmp/ RUN python -m pip install --upgrade pip RUN pip install --quiet --no-cache-dir git+https://github.com/abey79/vsketch#egg=vsketch RUN pip install --quiet --no-cache-dir git+https://github.com/marceloprates/prettymaps.git RUN fix-permissions "${CONDA_DIR}" && fix-permissions "/home/${NB_USER}" ENTRYPOINT ["jupyter", "lab", "--ip=0.0.0.0", "--allow-root"]
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Prettymaps: Small Python library to draw customized maps from OpenStreetMap data
pip install git+https://github.com/abey79/vsketch#egg=vsketch
NumPy
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Dot vs Matrix vs Element-wise multiplication in PyTorch
In NumPy with @, dot() or matmul():
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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
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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]
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Beginning Python: Project Management With PDM
A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example I've decided to expand our math functionality with NumPy. pdm add is what's used to add dependencies like this to our project:
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Building an efficient sparse keyword index in Python
Large computations in pure Python can also be painfully slow. Luckily, there is a robust landscape of options for numeric processing. The most popular framework is NumPy. There is also PyTorch and other GPU-based tensor processing frameworks.
What are some alternatives?
SymPy - A computer algebra system written in pure Python
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
SciPy - SciPy library main repository
blaze - NumPy and Pandas interface to Big Data
Numba - NumPy aware dynamic Python compiler using LLVM
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).
manim - Animation engine for explanatory math videos
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
vpype - The Swiss-Army-knife command-line tool for plotter vector graphics.
Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
scikit-learn - scikit-learn: machine learning in Python
prettymaps - A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.