native-messaging-c
NumPy
native-messaging-c | NumPy | |
---|---|---|
10 | 272 | |
2 | 26,510 | |
- | 1.4% | |
0.0 | 10.0 | |
over 1 year ago | 6 days ago | |
C | Python | |
- | GNU General Public License v3.0 or later |
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native-messaging-c
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Why does server exit with body over certain length?
Ultimately what I am trying to do is test the simplicity and efficiency of using a local server versus using Native Messaging, which I have working https://github.com/guest271314/native-messaging-c, https://github.com/guest271314/captureSystemAudio/blob/master/native_messaging/capture_system_audio/capture_system_audio.c.
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How to parse POST and assign only body (plain text) to char?
Yes. I use Native Messaging to do that as well https://github.com/guest271314/native-messaging-c. Far less overhead cf. HTTP. Nonetheless I am trying to improve the implementation.
- V8 memory leak: Anybody use V8 flags with node or deno to not block I/O?
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Reading data from a binary buffer in JavaScript
I would suggest sending valid JSON. Here is a Native Messaging host written in C which sends JSON to the client https://github.com/guest271314/native-messaging-c.
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How to fix memory leak?
I will probably adjust the variable names in your code and publish here https://github.com/guest271314/native-messaging-c including link to your answer.
- Executing shell scripts/command line without NODE
- 'The best thing we can do today to JavaScript is to retire it,' says JSON creator Douglas Crockford • DEVCLASS
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C++ to C string concatenation
For the C version which is now just an echo of input https://github.com/guest271314/native-messaging-c/tree/main repeat steps 1.-6. Instead of pinning the icon to address bar, navigate back to chrome://extensions, click "service worker" which will open a DevTools window for the background MV3 ServiceWorker context, then run this code in the console
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?
native-messaging-cpp - C++ Native Messaging host.
SymPy - A computer algebra system written in pure Python
webserver-c - A simple HTTP webserver written in C.
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
native-messaging-bash - Bash Native Messaging host.
blaze - NumPy and Pandas interface to Big Data
native-messaging-quickjs - QuickJS Native Messaging host
SciPy - SciPy library main repository
SilkJS - V8 Based JavaScript Swiss Army Knife (and HTTP Server!)
Numba - NumPy aware dynamic Python compiler using LLVM
captureSystemAudio - Capture system audio ("What-U-Hear")
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).