TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #14783 · Jun 3
#go#devops_workflow#encrypt_secrets#gitops#kubernetes#kubernetes_secrets Sealed Secrets is a tool for Kubernetes that lets you safely store sensitive information—like passwords or API keys—in your code repository by encrypting them so only your Kubernetes cluster can decrypt them. You use a tool called `kubeseal` to encrypt secrets on your computer, and then store the encrypted result in your repository. When you apply this encrypted secret to your cluster, a special controller inside Kubernetes decrypts it and creates a regular secret that your apps can use. This means you can manage all your configuration in Git, even secrets, without worrying about exposing sensitive data, and only the cluster itself can access the real secret[2][5][1]. The benefit is that your secrets are protected at every step, and you can use Git workflows for everything, making your setup more secure and easier to manage. https://github.com/bitnami-labs/sealed-secrets
Search: #matplotlib
@djangoproject · Post #127 · 08/31/2016, 03:27 PM
http://scikit-learn.org/stable/ scikit-learn #Machine#Learning in Python Simple and efficient tools for data mining and data analysis Accessible to everybody, and reusable in various contexts Built on #NumPy, #SciPy, and #matplotlib Open source, commercially usable - BSD license
@djangoproject · Post #423 · 08/26/2017, 08:39 AM
http://scitools.org.uk/iris/docs/latest/userguide/index.html Iris seeks to provide a powerful, easy to use, and community-driven Python library for analysing and visualising #meteorological and #oceanographic data sets. With Iris you can: Use a single #API to work on your data, irrespective of its original format. Read and write (CF-)netCDF, GRIB, and PP files. Easily produce graphs and maps via integration with #matplotlib and #cartopy.
@djangoproject · Post #424 · 08/26/2017, 08:43 AM
http://scitools.org.uk/cartopy/docs/latest/index.html Cartopy is a Python package designed to make drawing maps for data analysis and visualisation as easy as possible. #Cartopy makes use of the powerful #PROJ.4, #numpy and #shapely libraries and has a simple and intuitive drawing interface to #matplotlib for creating publication quality maps. Some of the key features of cartopy are: object oriented projection definitions point, line, vector, polygon and image transformations between projections integration to expose advanced mapping in matplotlib with a simple and intuitive interface powerful vector data handling by integrating shapefile reading with Shapely capabilities
@djangoproject · Post #448 · 09/18/2017, 11:30 AM
https://medium.com/@GalarnykMichael/logistic-regression-using-python-sklearn-numpy-mnist-handwriting-recognition-matplotlib-a6b31e2b166a Logistic Regression using Python (#Sklearn, #NumPy, #MNIST, Handwriting #Recognition, #Matplotlib) #machine_learning.
@djangoproject · Post #130 · 08/31/2016, 03:39 PM
http://matplotlib.org/ #matplotlib is a python #2D#plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in #python scripts, the python and #ipython shell (ala MATLAB®* or Mathematica®†), web application servers, and six #graphical user interface toolkits. screenshots
@djangoproject · Post #507 · 11/26/2017, 10:08 PM
http://devarea.com/machine-learning-with-python-introduction/#.Whs6iCehU8o #Machine_Learning With Python – Introduction #Numpy is package for multi dimension arrays – very effective implementation #Scipy – package for scientific programming , mathematics , signal processing and more #Pandas – package for data handling #Matplotlib – package for data visualization (graphs) #Seaborn – extend Matplotlib with statistical graphs #Scikits – many extensions to spicy for specific fields like x-ray, image processing , deep learning and many more
@djangoproject · Post #352 · 06/25/2017, 08:57 AM
https://stxnext.com/blog/2017/04/12/most-popular-python-scientific-libraries/ The most popular Python scientific libraries: #Astropy #Biopython #Cubes #DEAP #SCOOP #PsychoPy #Pandas #Mlpy #matplotlib #NumPy #NetworkX #TomoPy #Theano #SymPy #SciPy #scikit_learn #scikit_image #ScientificPython #SageMath #Veusz #graph_tool #SunPy #Bokeh
@djangoproject · Post #513 · 11/30/2017, 10:00 PM
#AI#Artificial_Intelligence #AJAX #aiohttp #Anaconda #AngularJS #API #Atom #AWS #asyncio (#Asynchronous) #audio #automated_testing #automation #atexit #BeeWare #Big_Data #bitcoin #blockchain #Bluemix #Brython #button #Celery #client #class #classmethod #concurrency #Coroutine #cron #CSS #curl #data_analysis #data_mining #data_processing #database #Deep_Learning#deep_learning #Debian #decorator #deploy #dict #dispatch #django #django_cms #Django_REST_Framework #dropdownbox #Docker #event #Firefox #Flask #form #functions #Generator #GeoDjango #git #Google #GPU #GUI #Gym #host #HTML #httplib #learn #Image_processing #intelligence #input #Instagram #IOT #iPython #Jupyter #lambda #learn #License #Linux #lists #machine_learning #Magenta #map #Matplotlib #Metaprogramming #Micro_services #Micropython #mind #monitoring #MongoDB #modules #Mozilla #Multipart #multi_touch_apps #multiprocessing #Nodes #NoSQL #numeric_computation #numerical #NumPy #network #neural_network #OAuth #object_serialization #OCR #overloading #package #parallel #pipeline #protocols #PostGIS #pyAudioAnalysis #pycon #Pyflakes #PyInstaller #PyPI #PyQt #PySide #PyTorch #pytest #python #Pyvideo_archives #Qt #Raspberry_Pi #React #Redis #random #request #Regular_Expressions (#re) #REST #RSS #satellite #scikit_learn #SciPy #scrapy #searching #selectbox #Selenium #serialization #server #sessions #single_responsibility_principle #socket #Spark #str #submit #task #telegram #template #TensorFlow #test #text_boxes #text #tuples #unicode #Universe #Unix #unit_test #urllib #upload #uWSGI #Web #WSGI
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