AzureMonitorCommunity
astropy
AzureMonitorCommunity | astropy | |
---|---|---|
6 | 26 | |
943 | 4,218 | |
1.3% | 1.2% | |
8.1 | 9.9 | |
2 days ago | 2 days ago | |
PowerShell | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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AzureMonitorCommunity
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AVD Dashboard using Azure Monitor..?
I moved on to trying to use Azure Monitor and setting up a workbook with custom queries. This is all based off log data, so its not truly real time, so its not ideal off the start. I also don't know KQL or the data structure, so I feel like I'm beating a square peg in a round hole. I did find the MS Azure Monitor community and I've been browsing through there to try to learn. ( https://github.com/microsoft/AzureMonitorCommunity )
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Where can I find more learning Material for creating Azure Dashboard (including Pre and Post Patching, Anti Virus, Backup, Compliance)
Azure Workbooks are more flexible to use. Can find many here: https://github.com/microsoft/AzureMonitorCommunity
- There is framework for everything.
- Azure Monitor and Alerting Integration
- Cost Analysis Workbook
- Obtaining cost management data throught REST api
astropy
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Julia 1.10 Released
Astropy [0] lives at the heart of most work. It has a Python interface, often backed by Fortran and C++ extension modules. If you use Astropy, you're indirectly using libraries like ERFA [6] and cfitsio [7] which are in C/Fortran.
I personally end up doing a lot of work that uses the HEALPix sky tesselation, so I use healpy [2] as well.
Openorb is perhaps a good example of a pure-Fortran package that I use quite. frequently for orbit propagation [3].
In C, there's Rebound [4] (for N-body simulations) and ASSIST [5] (which extends Rebound to use JPL's pre-calculated positions of major perturbers, and expands the force model to account for general relativity).
There are many more, these are just ones that come to mind from frequent usage in the last few months.
[0] https://www.astropy.org/
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Skyfield: Elegant Astronomy for Python
Users interested in a broader range of astronomical tools beyond coordinate transformations may be interested in https://www.astropy.org/ and its affiliated packages.
- Astropy: Common core package for Astronomy in Python
- [R] Astronomia ex machina: a history, primer and outlook on neural networks in astronomy
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License Adherence Help
I'm working on a pure Rust approximation of astropy. Up til now, I was able to recreate the intent by looking at an external API, but I'm moving on to functionality that I don't understand enough to implement without basically copying the code. Astropy uses the BSD-3 license, and it wraps the ERFA library which uses a custom license. My project currently uses the MIT license. My PR is here - my question is have I attributed everything correctly, or is there anything I need to change for everything to be above-board?
- Astro physics data analysis
- I'm a mechanical engineer with a solid background in Python and experience earlier in my career in natural science/physics. Are there any meaningful, active, open source opportunities in space science?
- OpenSource voltado à ciência
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Astronomical Calculations for Hard SF in Common Lisp
For folks who might be interested in astronomical calculations but who don't want to roll their own library, astropy (https://www.astropy.org/) is widely used by professional astronomers.
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Looking to study data from JWST's spectroscopy instruments
I agree with the other commenter. Check out their github. If you’re looking to build your skills long term (and have some experience with python) it’s worth checking out astropy and their fits file handling routines.
What are some alternatives?
gspread - Google Sheets Python API
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
Ruby on Rails - Ruby on Rails
SciPy - SciPy library main repository
Application-Insights-Workbooks - Templates for Azure Monitor Workbooks
Dask - Parallel computing with task scheduling
NLTK - NLTK Source
Numba - NumPy aware dynamic Python compiler using LLVM
NetworkX - Network Analysis in Python
SymPy - A computer algebra system written in pure Python
Metasploit - Metasploit Framework
PyDy - Multibody dynamics tool kit.