SaltStack
NumPy
SaltStack | NumPy | |
---|---|---|
46 | 272 | |
13,873 | 26,459 | |
0.6% | 1.2% | |
10.0 | 10.0 | |
about 24 hours ago | 1 day ago | |
Python | Python | |
Apache License 2.0 | 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.
SaltStack
- Looking for a way to remote in to K's of raspberry pi's...
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Salt Exporter: the story behind the tool
In the new style, when the tag is longer than 20 characters, an end of tag string is appended to the tag given by the string constant TAGEND, that is, two line feeds '\n\n'. When the tag is less than 20 characters then the tag is padded with pipes "|" out to 20 characters as before. When the tag is exactly 20 characters no padded is done. source: https://github.com/saltstack/salt/blob/master/salt/utils/event.py
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Why would anyone need AD/AAD when you can manage devices through Saltstack?
https://github.com/saltstack/salt https://github.com/chocolatey/choco https://github.com/nextcloud https://github.com/authelia/authelia https://github.com/grafana/grafana
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Is Chocolatey v2.0 now the stable CLI version?
SaltStack
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Probably asked before, but any opinions on Ansible against Salt
One thing that really irks me about Salt, though, is that they are very slow to fix bugs. My Salt states are littered with workarounds for bugs that have been open for multiple years. Even in basic things, like ssh authorized_keys management. Other than bug velocity, though, I've been pretty pleased with Salt.
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NetworkManager with salt
Here are several related GitHub issues: - https://github.com/saltstack/salt/issues/54791 - https://github.com/saltstack/salt/issues/57541 - https://github.com/saltstack/salt/issues/16089
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What's new in Salt 3006 Sulfur LTS
For clarity, here's the issue: https://github.com/saltstack/salt/issues/64111
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Someone needs to fork salt, VMware has all but abandoned it.
Nightly builds on supported branches & master running the full test suite, producing fully tested builds. https://github.com/saltstack/salt/actions/workflows/nightly.yml
- Salt issue on FreeBSD
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What is going on? Someone is speaking to me in my head.
It's definitely some sort of AI script. Not this exactly, but something working off Python or scripts of thar nature. https://github.com/saltstack/salt
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?
Rundeck - Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts
SymPy - A computer algebra system written in pure Python
Cloud-Init - unofficial mirror of Ubuntu's cloud-init
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
Ansible - Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
blaze - NumPy and Pandas interface to Big Data
kubernetes - Production-Grade Container Scheduling and Management
SciPy - SciPy library main repository
Nomad - Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy a mix of microservice, batch, containerized, and non-containerized applications. Nomad is easy to operate and scale and has native Consul and Vault integrations.
Numba - NumPy aware dynamic Python compiler using LLVM
Docker Compose - Define and run multi-container applications with Docker
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).