strictyaml
NumPy
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strictyaml | NumPy | |
---|---|---|
21 | 272 | |
1,407 | 26,290 | |
- | 1.6% | |
1.9 | 10.0 | |
about 1 month ago | 1 day ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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strictyaml
- StrictYAML
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XML is better than YAML
NestedText already is the way I use YAML; everything is intepreted as a string. I have some trust in my YAML parser to not mangle most strings. I could use NestedText, but users would be unfamiliar with it, and IIRC the only parsers are in Python. But then I could use StrictYaml too https://github.com/crdoconnor/strictyaml
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The new type of SQL injection
you can stick to a subset of YAML syntax (e.g. strictYAML)
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DO YOU YAML?
YAML stands for "YAML Ain’t Markup Language" - this is known as a recursive acronym. YAML is often used for writing configuration files. It’s human readable, easy to understand and can be used with other programming languages. Although YAML is commonly used in many disciplines, it has received criticism on the amoutn of whitespace .yml files have, difficulty in editing, and complexity of the standard. Despite the criticism, properly using YAML ensures that you can reproduce the results of a project and makes sure that the virtual environment packages play nicely with system packages. (If you're looking for another way to share environments there are other alternatives to YAML which include StrictYAML (a type-safe YAML parser) and NestedText)
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The yaml document from hell
The example you linked provides this as an example of a YAML document that he wants his format to support.
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The YAML Document from Hell
That safe subset exists and is implemented in a number of languages. It is called strict-yaml: https://hitchdev.com/strictyaml/
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Hacker News top posts: Jul 3, 2022
StrictYAML\ (33 comments)
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Why JSON Isn’t a Good Configuration Language (2018)
To me those are in the category of "nice to have", and the problem is that every developer has different preferences for these [1] [2]. But the main features of StrictYaml, like supporting comments and less syntactic noise, I think are pretty uncontroversial, and perhaps it's worth it to get people to switch over for those alone. It doesn't need to be perfect, it just needs to be a significant enough improvement over JSON, and I'd say those two features are more than enough
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?
pyyaml - Canonical source repository for PyYAML
SymPy - A computer algebra system written in pure Python
nestedtext - Human readable and writable data interchange format
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
ytt - YAML templating tool that works on YAML structure instead of text
SciPy - SciPy library main repository
crudini - A utility for manipulating ini files
blaze - NumPy and Pandas interface to Big Data
yaml-rust - A pure rust YAML implementation.
Numba - NumPy aware dynamic Python compiler using LLVM
starlark-go - Starlark in Go: the Starlark configuration language, implemented in Go
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).