plots2
NumPy
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plots2 | NumPy | |
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6 | 272 | |
952 | 26,290 | |
0.2% | 1.6% | |
0.0 | 10.0 | |
about 2 months ago | 5 days ago | |
Ruby | Python | |
GNU General Public License v3.0 only | 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.
plots2
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Ask HN: Comment here about whatever you're passionate about at the moment
Citizen science! It's great when people realize they can answer their own questions with observation and data, and for activism because data is a powerful story. One friend of mine started https://publiclab.org to feed this, and another is doing data journalism to highlight holes in the government's environmental data. https://www.muckrock.com/project/
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A step-by-step for doing your first open source contribution (and finding where to do it)
My first contribution ever was to PublicLab's plots2 back in 2018. I had no idea what I was doing or what plots2 was. What attracted me was how welcoming they were (and still are) to first time contributors. With them: I opened my first PR, discussed in PR's conversation, and pushed the changes requested. Back then, that was a lot!
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Search function on a website I'm getting built
Hmm so to your first question: That pattern of selecting from a pre-populated list is often used with a tag or chip system where you can select and deselect one or more items from the list, something like this: https://github.com/publiclab/plots2/issues/6026 in this case the search CTA acts as the final decision to search while the selections are populating the search criteria. It sounds your system design is a bit different though. Sounds to me like an issue of heuristics of UI https://www.nngroup.com/articles/ten-usability-heuristics/ the third heuristic states:
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Are there places for amateur researcher to post their work?
Maybe public lab would be a good home? https://publiclab.org/
- what ruby or rails open source projects a beginner-to-intermediate developer can easily contribute to?
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Hacktoberfest: 69 Beginner-Friendly Projects You Can Contribute To
https://github.com/publiclab/plots2 A collaborative knowledge-exchange platform in Rails; we welcome first-time contributors! balloon
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?
ArchivesSpace - The ArchivesSpace archives management tool
SymPy - A computer algebra system written in pure Python
matplotlib - matplotlib: plotting with 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
WebsiteOne - A website for Agile Ventures
blaze - NumPy and Pandas interface to Big Data
textbook-curriculum - Ada Developers Academy Online Curriculum
SciPy - SciPy library main repository
export-pull-requests - Export pull requests and/or issues to a CSV file. Supports GitHub, GitLab, and Bitbucket
Numba - NumPy aware dynamic Python compiler using LLVM
Rubocop - A Ruby static code analyzer and formatter, based on the community Ruby style guide. [Moved to: https://github.com/rubocop/rubocop]
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).