Saravanan666/pypi-org huggingface dataset:
Package: afterflight
An application for analysis of UAV log and video.Introductory video with quickstart is athttp://youtu.be/wdeeGyvHJ9c.Installing the release versionInstalling the development versionmake sure you have scipy installed on your system. On ubuntu, that means doing:sudoapt-getinstall scipy. Once scipy 0.13 is released, this step will no longer be necessary because setup.py will be able to install it properly.Clone the afterflight repository to withgit clonehttps://github.com/foobarbecue/afterflight.gitIn the directory that is created (called afterflight unless you specified otherwise), runpip-rrequirements.txt. This will install the remaining dependancies.Createsettings_local.pybased on the examplesettings_local_example.py. Usually you can just runcp settings_local_example.py settings_local.py, but if you want to use a database other than sqlite (such as postgres) this is where your database access information will go.Create your database tables by runningpython afterflight/manage.py syncdb. This will also add a default site for the django sites framework, which is required for the authentication system.Run a local development server:python afterflight/manage.py runserver. By default this will run athttp://localhost:8000, so you can point your browser there to get started.If you want to run this on a public server, followhttps://docs.djangoproject.com/en/1.5/howto/deployment/.
Package: afterscan
# Afterscan![logo](afterscan-logo.JPG)## InstallationUse python 3` pip install afterscan `## Usage` afterscan [OPTIONS] FILENAME `Example` afterscan myimage.jpg--threshold75-f`### Options`--thresholdINTEGER         Threshold value between 0 and 255. Default=100-o,--outTEXT              Output path. Defaultafterscan-[filename]in pwd-i,--invert/--no-invertInvert the image-f,--force/--no-forceOverwrite existing file without asking--helpShow this message and exit. `## DemoWhen drawing this amazing logo, I found myself having a scan with lines in the background.By using this command I was able to produce the second image:` afterscan logo.jpg--threshold75-f`### Before![image-before](afterscan-logo-before.JPG)### After![image-after](afterscan-logo.JPG)
Package: aftership
aftership-sdk-python is Python SDK (module) forAfterShip API.
Module provides clean way to access API endpoints.IMPORTANT NOTECurrent version of aftership-sdk-python>=0.3notcompatiblewith
previous version of sdk<=0.2.Also, version since 1.0 isnotsupport Python 2.X anymore. If you want
to use this SDK under Python 2.X, please use versions<1.0.Supported Python Versions3.63.73.83.93.10pypy3InstallationVia pipUse Virtual EnvironmentWe recommend using avirtualenvorpoemto use this SDK.$pipinstallaftershipVia source codeDownload the code archive, without unzip it, go to the
source root directory, then run:$pipinstallaftership-sdk-python.zipUsageYou need a valid API key to use this SDK. If you don’t have one, please visithttps://www.aftership.com/apps/api.Quick StartThe following code gets list of supported couriersimportaftershipaftership.api_key='YOUR_API_KEY_FROM_AFTERSHIP'couriers=aftership.courier.list_couriers()You can also set API key via settingAFTERSHIP_API_KEYenvironment varaible.exportAFTERSHIP_API_KEY=THIS_IS_MY_API_KEYimportaftershiptracking=aftership.get_tracking(tracking_id='your_tracking_id')The functions of the SDK will returndatafield value if the API endpoints
return response with HTTP status2XX, otherwise will throw an
exception.ExceptionsExceptions are mapped fromhttps://docs.aftership.com/api/4/errors,
and this table is the exception attributes mapping.API errorAfterShipErrorhttp status codehttp_statusmeta.codecodemeta.typemessageKeyword argumentsMost of SDK functions only accept keyword arguments.ExamplesGotoexamplesto see more examples.
Package: aftershoq
aftershoqA Flexible Tool for Em-Radiation-emitting Semiconductor Heterostructure Optimization using Quantum modelsThis Tool aims to aid in the simulation of quantum cascade structures (such as QC lasers, detectors, or QWIPs)
using a variety of different simulation models. It also contains routines for optimization of such structures.
It contains a libraty of common materials and structures used in the Litterature, and provides a framework
for simulations. It does not contain any simualation code, this has to be provided by the users themselves
(for now). The respective simulation code can be linked to [aftershoq] by the implementation of a subclass
to Interface, which writes input files, executes the model, computes the merit function, and gathers the
results data.This is a program written for Python 3.6. You need to have Python 3 installed to use and modify this software
to your needs. The current implentation also uses numpy, scipy, matplotlib, and lxml for some features.InstallationWhen cloning, use the --recursive option:git clone --recursivehttps://github.com/mfranckie/aftershoq.git(orgit clone --recurse-submoduleshttps://github.com/mfranckie/aftershoq.gitdepending on your git version) so that the project "hilbert_curve" appears in the base directory of aftershoq.
To install aftershoq and all its dependencies, executepython setup.py installfrom the aftershoq/ directory. To install on a system without root privileges, runpython setyp.py install --userinsead.TutorialsFor a demonstration, see the Jupyter notebooks located in examples/notebooks. To install Jupyter, runpython -m pip install jupyterthen run withjupyter notebookMaterials_guide.ipynbShows how to create materials and alloys with varying composition and strain.QCL_guide.ipynbShows how to generate structures from scratch, how to load them from thelibraryand how to generate them automatically.Opt_guide.ipynbShows how to setup and run an optimization with Gaussian Processs (GP) regression for a test function and for a real QCL (requires ownership of a separate QCL simulation model).If you don't want to/can't use jupyter, the following examples have a similar content:"QCLexample.py" (Requires a supported simulation program)"example_sewself.py" (Requires the sewself program)"example_sewlab.py" (Requires sewlab version 4.6.4 or later)"test_optim.py" (No requirements, this is a test of the optimization scheme)Good luck!
Package: afthermal
Noteafthermal is currently in alpha status. This is a snapshot release of
the development branch. While it is used productively, some features
may be unfinished or undocumented.afthermalis a driver/library for the popularAdafruit(originally Cashino
A2) thermal printer[1].Partially, it is inspired by previous efforts:https://github.com/adafruit/Adafruit-Thermal-Printer-Libraryhttps://github.com/adafruit/Python-Thermal-Printer/https://github.com/luopio/py-thermal-printer/afthermaltry to be more pythonic and efficient than previous efforts,
which have mostly been 1:1 ports from other languages.
Additionally it is not focused on education but rather on being a
reliable library for handling this kind of hardware.Features include:Comfortable handling of text formattingAdapters to print images fromPIL/Pillowas well asOpenCVA fastFloyd-Steinbergimplementation to ditherOpenCVimages.Command-line utilities for calibrating the printer for optimum speed and
quality, as well as other capabilitiesSupport for printing QR codes viaPyQRCodewithout having to render them
into images first[1]Specification is available athttp://www.adafruit.com/datasheets/CSN-A2%20User%20Manual.pdfInstallationafthermalis installable frompip. It supports an extra feature namedtools, installing it will include cli tools for calibrating the
printer, printing test images or other tasks:$pipinstall'afthermal[tools]'It includes a C extension forFloyd-Steinbergdithering, sinceOpenCVdoes
not ship with a dithering function. For this reason C-modules must be
compileable when installingafthermal.Full docsThe complete documentation is housed athttp://pythonhosted.org/afthermal.
Package: aft-pt
aft-pytorchUnofficial PyTorch implementation ofAttention Free Transformer's layers byZhai, et al. [abs,pdf] from Apple Inc.InstallationYou can installaft_ptviapip:pipinstallaft_ptUsageYou can import theAFT-FullorAFT-Simplelayer (as described in the paper) from the package like so:AFTFullfromaft_ptimportAFTFulllayer=AFTFull(max_seqlen=20,dim=512,hidden_dim=64)# a batch of sequences with 10 timesteps of length 512 eachx=torch.rand(32,10,512)y=layer(x)# [32, 10, 512]AFTSimplefromaft_ptimportAFTSimplelayer=AFTSimple(max_seqlen=20,dim=512,hidden_dim=64)# a batch of sequences with 10 timesteps of length 512 eachx=torch.rand(32,10,512)y=layer(x)# [32, 10, 512]AFTLocalfromaft_ptimportAFTLocallayer=AFTLocal(max_seqlen=20,dim=512,hidden_dim=64)# a batch of sequences with 10 timesteps of length 512 eachx=torch.rand(32,10,512)y=layer(x)# [32, 10, 512]This layer wrapper is a 'plug-and-play' with your existing networks / Transformers. You can swap out the Self-Attention layer with the available layers in this package with minimal changes.TODOAdd full AFT architectureAdd variants like,AFTConvBenchmark using Karpathy'sminGPTContributingIf you like this repo, please leave a star! If there are any amends or suggestions, feel free to raise a PR/issue.Credits@misc{attention-free-transformer,
title = {An Attention Free Transformer},
author = {Shuangfei Zhai and Walter Talbott and Nitish Srivastava and Chen Huang and Hanlin Goh and Ruixiang Zhang and Josh Susskind},
year = {2021},
URL = {https://arxiv.org/pdf/2105.14103.pdf}
}LicenseMIT
Package: aft-pytorch
aft-pytorchUnofficial PyTorch implementation ofAttention Free Transformer's layers byZhai, et al. [abs,pdf] from Apple Inc.InstallationYou can installaft-pytorchviapip:pipinstallaft-pytorchUsageYou can import theAFT-FullorAFT-Simplelayer (as described in the paper) from the package like so:AFTFullfromaft_pytorchimportAFTFulllayer=AFTFull(max_seqlen=20,dim=512,hidden_dim=64)# a batch of sequences with 10 timesteps of length 512 eachx=torch.rand(32,10,512)y=layer(x)# [32, 10, 512]AFTSimplefromaft_pytorchimportAFTSimplelayer=AFTSimple(max_seqlen=20,dim=512,hidden_dim=64)# a batch of sequences with 10 timesteps of length 512 eachx=torch.rand(32,10,512)y=layer(x)# [32, 10, 512]AFTLocalfromaft_pytorchimportAFTLocallayer=AFTLocal(max_seqlen=20,dim=512,hidden_dim=64)# a batch of sequences with 10 timesteps of length 512 eachx=torch.rand(32,10,512)y=layer(x)# [32, 10, 512]This layer wrapper is a 'plug-and-play' with your existing networks / Transformers. You can swap out the Self-Attention layer with the available layers in this package with minimal changes.TODOAdd full AFT architectureAdd variants like,AFTConv,AFTLocalContributingIf you like this repo, please leave a star! If there are any amends or suggestions, feel free to raise a PR/issue.Credits@misc{attention-free-transformer,
title = {An Attention Free Transformer},
author = {Shuangfei Zhai and Walter Talbott and Nitish Srivastava and Chen Huang and Hanlin Goh and Ruixiang Zhang and Josh Susskind},
year = {2021},
URL = {https://arxiv.org/pdf/2105.14103.pdf}
}LicenseMIT
Package: afvaldienst
Afvaldienst libraryThis library is meant to interface with mijnafvalwijzer.nl and/or afvalstoffendienstkalender.nl
It is meant to use with home automation projects like Home Assistant.Installation.. code:: bashpip install afvaldienstUninstallation.. code:: bashpip uninstall afvaldienstUsage.. code:: python>>> from Afvaldienst import Afvaldienst
>>> provider = 'mijnafvalwijzer'
>>> api_token = ''
>>> zipcode = '1111AA'
>>> housenumber = '1'
>>> suffix = ''
>>> start_date = 'True or False'     (start counting wihth Today's date or with Tomorrow's date)
>>> trash = Afvaldienst(provider, api_token, zipcode, housenumber, suffix)

>>> trash.trash_json
[{'nameType': 'gft', 'type': 'gft', 'date': '2019-12-20'}, {'nameType': 'pmd', 'type': 'pmd', 'date': '2019-12-28'}]

>>> trash.trash_schedule
[{'key': 'pmd', 'value': '31-10-2019', 'days_remaining': 8}, {'key': 'restafval', 'value': '15-11-2019', 'days_remaining': 23}, {'key': 'papier', 'value': '20-11-2019', 'days_remaining': 28}]

>>> trash.trash_schedule_custom
[{'key': 'first_next_in_days', 'value': 8}, {'key': 'today', 'value': 'None'}, {'key': 'tomorrow', 'value': 'None'},

>>> trash.trash_types
['gft', 'kerstbomen', 'pmd', 'restafval', 'papier']Or use the scraper:>>>from AfvaldienstScraper import AfvaldienstScraper
>>> provider = 'mijnafvalwijzer'
>>> zipcode = '1111AA'
>>> housenumber = '1'
>>> start_date = 'True or False'     (start counting wihth Today's date or with Tomorrow's date)
>>> trash = AfvaldienstScraper(provider, zipcode, housenumber)

>>> trash.trash_schedule
[{'key': 'pmd', 'value': '31-10-2019', 'days_remaining': 8}, {'key': 'restafval', 'value': '15-11-2019', 'days_remaining': 23}, {'key': 'papier', 'value': '20-11-2019', 'days_remaining': 28}]

>>> trash.trash_schedule_custom
[{'key': 'first_next_in_days', 'value': 8}, {'key': 'today', 'value': 'None'}, {'key': 'tomorrow', 'value': 'None'},

>>> trash.trash_types
['gft', 'kerstbomen', 'pmd', 'textiel', 'restafval', 'papier']

>>>> trash.trash_types_from_schedule
['gft', 'papier', 'pmd', 'restafval', 'textiel', 'kerstbomen', 'today', 'tomorrow', 'day_after_tomorrow', 'first_next_in_days', 'first_next_item', 'first_next_date']Contributors are most welcomeI'm still learning how to code properly... :changelog:Release History1.0.6 (2020-09-21)
++++++++++++++++New releaseRemove unnecessary data1.0.6 (2020-09-21)
++++++++++++++++New releaseAdd scraper funcionality1.0.5 (2020-09-21)
++++++++++++++++Bugfix releaseMultiple minor bugs regarding the new api from mijnafvalwijzer1.0.4 (2020-09-16)
++++++++++++++++Bugfix releaseAdd trash None value on no data1.0.3 (2020-09-16)
++++++++++++++++Bugfix releaseadd trash_schedule and trash_schedule_custom trash type list overview1.0.2 (2020-09-16)
++++++++++++++++Bugfix releaseadd trash_schedule and trash_schedule_custom trash type list overview1.0.1 (2020-09-16)
++++++++++++++++Bugfix releaseremove api tokens (as requested by the provider(s))1.0.0 (2020-09-15)
++++++++++++++++Bugfix releasecomplete rewrite of the logic for parsing json data0.8.0 (2020-09-13)
++++++++++++++++Bugfix releasemoved from json..nl to api..nladded additional error handling
Package: afvalwijzer
This library is meant to interface withmijnafvalwijzer.It is meant as aworkaroundfor the afvalwijzer app (used in the Netherlands) to be notified when to place the bin at the road.
Since this app delivers a poor functionality for notifications, and I needed a small project, I created this.InstallationpipinstallafvalwijzerUninstallationpipuninstallafvalwijzerUsage>>>fromAfvalwijzerimportAfvalwijzer>>>zipcode='3564KV'>>>number='13'>>>garbage=Afvalwijzer(zipcode,number)>>>garbage.pickupdate'Vandaag'>>>garbage.wastetype'Groente-, Fruit- en Tuinafval'>>>garbage.garbage('Vandaag','Groente-, Fruit- en Tuinafval')>>>garbage.pickupdates['dinsdag 02 januari','dinsdag 02 januari']>>>garbage.wastetypes['Groente-, Fruit- en Tuinafval','Kerstbomen']The following function only returns true if the pickup date is the same as today.>>>garbage.notifyTrueBelow is shown how I use it to get notified using pushbullet.fromAfvalwijzerimportAfvalwijzerfrompushbulletimportPushbulletdefnotification(device=None):pb=Pushbullet(pushbulletapi)try:mydevice=pb.get_device(device)except:mydevice=Nonepush=pb.push_note("Container:{}".format(wastetype),"Container:{}\nDate:{}".format(wastetype,pickupdate),device=mydevice)zipcode='3564KV'number=13pushbulletapi='pushbullet_api_key'pushbulletdevice='LGE Nexus 5X'garbage=Afvalwijzer(zipcode,number)pickupdate,wastetype=garbage.garbagenotify=garbage.notifyifnotifyandpushbulletapi:notification(pushbulletdevice)Cron jobThis script can now be set up as a cronjob on your server or alike.06***cd/path/to/script/notify_garbage.py>/dev/null2>&1CaveatOutput is provided in Dutch due to the main website. There is a button for English, but I haven’t got it working (yet).Contributors are most welcomeI’m still learning how to work with it all. Therefore feedback, advice, pull request etc. are most welcome.Release History0.2.7 (2018-01-01)Verification added for zipcode valueTest added for assert on the raise0.2.6 (2017-12-31)Change the dates in ‘HISTORY.rst’ to the correct monthLibrary also returns a list for multiple dates highlighted on the webpage0.2.5 (2017-12-28)Improving the python packaging, following:Python packaging0.2.4 (2017-12-27)Fixed rst issues; now showing correct html on pypilearned aboutpython setup.py checkdocs; requirepygmentsandcollective.checkdocs0.2.1 (2017-12-26)Changing the way of working with ‘__version__’Changed versioning schemeRemoved the datetime dependencyRewritten parts and tests to work with python 2.7 and 3.4+Rewritten Markdown to restructured text0.2 (2017-12-25)Status BetaVersioning in sync, setup reads it from the programHistory (this file) addedProperty decorators instead of traditional gettersREADME improved0.1 (2017-08-24)Initial release- first working release
- py.tests
- travis-ci
- pypi
- hours of troubleshooting the 2 above
Package: afvalwijzerapi
epsonprinter-apiThis package can be used to scrape the ink levels from your Epson Workforce printer.Usage:ConnectionCreate the API object with the IP address of the printer, on connect the values are fetched from the printerapi=EpsonPrinterAPI(<IP>)Fetches the latest values from the printerUpdate valuesapi.update()Get actual values#regular coloursblack=api.getSensorValue("black")magenta=api.getSensorValue("magenta")cyan=api.getSensorValue("cyan")yellow=api.getSensorValue("yellow")# Cleaning cardridgeclean=api.getSensorValue("clean")
Package: afwf
Welcome toafwfDocumentationA powerful framework enables fast and elegant development of Alfred Workflows in Python.📔 SeeFull Documentation HERE.Project BackgroundAlfred 官方的 Python 包已经 5 年没有更新了, 而且只支持 Python2.7, 不支持 Python3. 因为 2.7 已经在 2020 年 1 月 1 日停止更新, 而且 MacOS 2021 年起操作系统内就不带 Python2.7 了, 所以这导致以前使用了官方包的 Workflow 对新 Mac 不再兼容. 并且由于兼容性和历史包袱的原因, 官方的 Python 包内置了太多本应由第三方库提供的功能, 例如 HTTP request, 缓存 等等, 而为了兼容性只能在垃圾代码上堆叠垃圾代码. 于是我就萌生了自己造一个轮子的想法.我个人同时维护着 10 多个垂直领域的 Alfred Workflow, 早期我的源代码中包含了很多跟业务逻辑无关, 只用于和 Alfred 整合, 自动化测试, 以及元编程的代码. 这些代码在多个项目中有很多重复. 于是我认为有必要讲这些功能抽象出来, 将其封装为一个框架, 以便于在多个项目中复用, 于是就有了这个项目.这个项目的目的是提供了用 Python 编写 Alfred Workflow 中需要用到的 Script Filter 的数据模型, 以及一套基于超大型内部企业项目 (我是 AWS 内部官方的 AWS Alfred Workflow 的作者) 经验总结出的一套开发 Python Alfred Workflow 的框架, 包含了项目生命周期中的开发, 测试, 发布, 快速迭代等最佳实践, 解决了 Workflow 中的控件太多, 测试不易等问题.另外, 这个项目提供了互联网领域常用的图标, 你可以在这里预览.Related Projectscookiecutter-afwf: 一个 Python Alfred Workflow 的项目模板. 我的所有的 Alfred Workflow 的项目都是基于这个模板, 自动生成所需要的所有代码的. 使得我可以专注于项目的业务逻辑, 而不是运维.afwf_example-project: 一个使用cookiecutter-afwf生成的示例项目. 可以用来学习如何使用cookiecutter-afwf模版来快速开发 Alfred Workflow.Installafwfis released on PyPI, so all you need is:$pipinstallafwfTo upgrade to latest version:$pipinstall--upgradeafwf
Package: afwf-shell
Welcome toafwf_shellDocumentationafwf_shellis a framework for building Alfred Workflow liked App in terminal. See example atui_example.py.Demo:Examples:ui_example.pyerror_handling_example_1error_handling_example_2first_run_waiter_example.pyInstallafwf_shellis released on PyPI, so all you need is to:$pipinstallafwf-shellTo upgrade to latest version:$pipinstall--upgradeafwf-shell
Package: agacsayisi
# Ağaç sayısı hesaplamaKarbon dioksit miktarı girilerek, tükettiğiniz kaynağın yerini doldurmak için kaç ağaca ihtiyaç olduğunu hesaplar.Loggma Yazılım Elektrik Elektronik A.Ş. tarafından hazırlanmıştır.### Gereklilikler* Python 2.7 ve üzeri## Açıklamalar### Ağaç sayısının hesaplanması:- Genç bir ağaç senede 11.79 kg karbon dioksit özümsemektedir.(http://www.arborenvironmentalalliance.com/carbon-tree-facts.asp)- Kar edilen karbondioksit miktarını senede özümsenen karbondioksit miktarına böldüğümüz zaman ağaç sayısını buluyoruz.#### Katsayı ile enerjinin çarpılması:- Üretilen elektrik enerjisiyle önceden elle belirlenmis olan katsayının çarpımı veriliyor.#### Katsayının hesaplanması:- Türkiyede elektrik üretebilmek için doğalgaz, ithal kömür, linyit, taş kömürü, fuel oil, rüzgarenerjisi, jeotermal enerji ve güneş enerjisi kullanılıyor. 2018’in Nisan ayı verilerine göre, doğalgaz,elektrik üretiminin %28’inde, ithal kömür %16’sında, linyit %15’inde, taş kömürü %1’inde, rüzgar enerjisi%5’inde, jeotermal enerji %3’ünde, fuel oil %0’ında ve son olarak güneş enerjisi %3’ünde kullanıldı.Toplamda ise 23,844,12 kWh üretildi.[(AYLIK ENERJİ İSTATİSTİKLERİ RAPORU - 4)](http://www.eigm.gov.tr/File/?path=ROOT%2f4%2fDocuments%2f%c4%b0statistik%20Raporu%2f2018%20Nisan%20Ay%c4%b1%20Enerji%20Raporu.pdf)- EMO’ya göre, bu elemanların sera gazı emisyonları(ton- karbon dioksit/GWh) şu şekildedir:(http://www.emo.org.tr/ekler/15ed8b43a250de0_ek.pdf)```Doğalgaz:		499İthal kömür:		888Linyit:			1054Taş kömürü:		888Fuel oil:		733Rüzgar enerjisi: 	10Jeotermal enerji:	38Güneş enerjisi:		23```- Her elemana ait elektrik üretimini bulmak için toplam enerji miktarıyla yüzdeler çarpıldı.Çıkan sonuçla da elemanların sera gazı emisyon değerleri çarpılıp gerekli birim hesaplamalarıyapıldı.(kg/kWh) Her elemanın sebep  olduğu salınmalar teker teker bulundu ve toplandı.Böylece toplam karbondioksit miktarı bulundu. Bu değer de toplam elektrik enerjisine bölündüve katsayı bulundu.## KatkıDaha doğru olduğunu düşündüğünüz hesaplamalar varsa katkıda bulunabilirsiniz.## Lisans[MIT](https://choosealicense.com/licenses/mit/)
Package: agalma
Agalma is an automated tool that constructs matrices forphylogenomic analyses, allowing complex phylogenomic analyses to be
implemented and described unambiguously as a series of high-level
commands.  The user provides raw Illumina transcriptome data, and
Agalma produces annotated assemblies, aligned gene sequence matrices,
a preliminary phylogeny, and detailed diagnostics that allow the
investigator to make extensive assessments of intermediate analysis
steps and the final results.  Sequences from other sources, such as
externally assembled genomes and transcriptomes, can also be
incorporated in the analyses. Agalma is built on the BioLite
bioinformatics framework, which tracks provenance, profiles processor
and memory use, records diagnostics, manages metadata, installs
dependencies, logs version numbers and calls to external programs, and
enables rich HTML reports for all stages of the analysis. Agalma
includes a small test data set and a built-in test analysis of these
data.
Package: agama
Its main tasks include:Computation of gravitational potential and forces;Orbit integration and analysis;Conversion between position/velocity and action/angle coordinates;Distribution functions;Self-consistent multi-component galaxy models;Framework for finding best-fit parameters of a model from data;Auxiliary utilities (e.g., various mathematical routines).The core of the library is written in C++, and there are Python and Fortran interfaces;
it may be used as a plugin for other stellar-dynamical software packages:
galpy, amuse, nemo.A detailed documentation for the AGAMA library is presented in a separate file doc/reference.pdf,
and a more technical description may be extracted from source files with Doxygen.
Instructions for compilation are in the file INSTALL.
The package also contains collection of examples and test programs both in C++ and Python.Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Requires: numpy