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Canale sorgente @WritingWay · Post #1168 · 23 nov
LA REVISIONE DEI TESTI - EDITING✍🏻📕 "Non esistono grandi scritture, ma solo grandi riscritture". #scrittura#writingtips ✍🏻Prendine atto: non puoi fare a meno di rivedere quello che scrivi, è nella fase della revisione che miglioriamo davvero il testo. ✅ L’editing è una FORMA MENTALE: richiede duttilità di pensiero. Non attaccarti a quello che hai scritto, se è il caso modifica. ✅ L’editing è NECESSARIO, sempre. ✅ L’editing deve essere inteso come IL TEMPO DEL MIGLIORAMENTO. ✅ Il PRIMO EDITING lo deve fare l’autore. ✅ Per fare bene editing è necessario DISTACCAMENTO dal testo altrimenti non sarà mai efficace. ✅ Bisogna DISTINGUERE editing sui tuoi testi dall’editing che potresti fare sui testi degli altri. Cambia del tutto l’approccio. Se analizzo un testo di un altro devo mettermi sulla stessa lunghezza d’onda dell’altro, non devo entrare con i miei gusti, con il mio “mi piace” se no sbaglierei del tutto il lavoro di editing. ✅ L’EDITING AGISCE SUL CERVELLO: quando correggiamo i nostri testi stiamo lavorando sul risultato del pensiero, sul pensiero che ha preso forma. Andare ad agire su quelle parole per migliorarle significa agire sulle connessioni neuronali. Ci pensiamo? Quanto bene faccia alla nostra espressività, al nostro patrimonio intellettuale l’editing? @writingway 🙌Se ti è piaciuto questo post e pensi possa interessare ad altri, inoltralo cliccando sulla freccia a destra.
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Cerca: #matplotlib
@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 · 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 · 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 · Post #448 · 18/09/2017, 11:30
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 · 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 · 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 · 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 · 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
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