- Saluto di squadra.
- Corsetta sul posto.
- Circonduzioni del braccio (en dehors, en dedans, dx, sx).
- Circonduzioni di tutte e due le braccia (en dehors, en dedans).
Buongiorno,
Mi chiamo Marianne Corvellec. Faccio la consulente, formatrice e ricercatrice in ambito Data Science. Il mio progetto imprenditoriale consiste nello scalare questi servizi e nel trasmettere questa cultura. Ho accumulato molte riflessioni e sperimentazioni per quanto riguarda i data science workflows, ovvero la creazione della sequenza di operazioni (automatizzate in fine) che vanno dai dati grezzi a risultati per supportare processi decisionali. Per tante applicazioni industriali non servono i dati “grandi” e neppure gli algoritmi sofisticati o all’avanguardia. Invece, un workflow pulito e ben
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import hashlib as hasher | |
import datetime as date | |
# Define what a Snakecoin block is | |
class Block: | |
def __init__(self, index, timestamp, data, previous_hash): | |
self.index = index | |
self.timestamp = timestamp | |
self.data = data |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
library(ggplot2) | |
library(shiny) | |
# Global variables can go here. | |
values <- runif(200) | |
# Define the UI. | |
ui <- fluidPage( | |
radioButtons("n", "Approximate number of bins", |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
name: python-novice-inflammation | |
channels: | |
- conda-forge | |
- defaults | |
dependencies: | |
- backports=1.0=py36_1 | |
- backports.functools_lru_cache=1.5=py36_0 | |
- blas=1.1=openblas | |
- bleach=2.0.0=py_1 | |
- ca-certificates=2018.1.18=0 |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import numpy | |
import matplotlib.pyplot | |
data = numpy.loadtxt(fname='inflammation-01.csv', delimiter=',') | |
fig = matplotlib.pyplot.figure(figsize=(10.0, 3.0)) | |
axes1 = fig.add_subplot(1, 3, 1) | |
axes2 = fig.add_subplot(1, 3, 2) | |
axes3 = fig.add_subplot(1, 3, 3) |
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
NewerOlder