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Canale sorgente @WritingWay · Post #1172 · 7 dic

⁣CARAAMATA VIRGOLA✍🏻📕 Tra soggetto è verbo non ci vai mai: è proprio vero? Usi e abusi di uno tra i segni di punteggiatura più sovversivi #scrittura#writingtips ✍🏻Regola vuole che tra soggetto e verbo la virgola non ci vada mai. Ma proprio mai? Secondo il linguista Serianni, invece, non va considerato sempre un errore ed è ammessa quando ci sono, per esempio, soggetti espansi (esempio: questa moda delle gonne corte senza orlo, rovina lo stile). In quali altri casi NON va usata? ✅ Tra verbo e complemento oggetto (Ho visto, un bel film). ✅ Tra verbo essere e parte nominale (Picasso è, il più grande artista). ✅ Quando ci sono complementi introdotti da preposizioni (Io amo i pomeriggi, di sole). Quando si consiglia di usarla? ✅ Negli elenchi di nomi e aggettivi. ✅ Per collegare tra loro due o più frasi quando non sono introdotte da congiunzioni coordinative come "e" e "ma". ✅ Prima di un'apposizione (Ho chiamato Rossi, medico generico). ✅ Dopo il vocativo (Caro amico, ecco che cosa capita). ✅ Nel caso di incisi. In questo caso le virgole sono due (Lo dico, qui e ora, io rinuncio). ✅ Per dividere subordinate e principale (Anche se non c'è molto sole, metto il cappello). @writingway 🙌Se ti è piaciuto questo post e pensi possa interessare ad altri, inoltralo cliccando sulla freccia a destra.

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djangoproject

@djangoproject · Post #127 · 31/08/2016, 15:27

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

@djangoproject · Post #423 · 26/08/2017, 08:39

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

@djangoproject · Post #424 · 26/08/2017, 08:43

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

@djangoproject · Post #130 · 31/08/2016, 15:39

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

@djangoproject · Post #507 · 26/11/2017, 22:08

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

@djangoproject · Post #352 · 25/06/2017, 08:57

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

@djangoproject · Post #513 · 30/11/2017, 22:00

#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