Marianne Corvellec mkcor

## ritmica_avan_8_9.md

      
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                mkcor
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              October 20, 2020 10:07
            
              
                Protocollo per il corso base/avanzato di ginnastica ritmica (8/9 anni).
              
          
    Lezione n. 6

Inizio [1 min]


Saluto di squadra.

Riscaldamento

In fila indiana [6 min]


## ritmica_base_6_7.md

      
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                mkcor
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              February 9, 2021 18:12
            
              
                Protocollo per il corso base di ginnastica ritmica (6/7 anni).
              
          
    Lezione n. 19 [online]

Inizio [5 min]


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).

Riscaldamento "in centro" [40 min]


## manifesto.md

      
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                mkcor
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              May 17, 2019 19:04
            
              
                Visione per la mia piccola impresa
              
          
    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

  
## mayoral.md

      
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                mkcor
                / mayoral.md
            
            
              Created
              May 31, 2018 19:54
            
              
                Reporting on my contribution to BUILding Data science (WashU).
              
          
    The Mayoral Classification Challenge


About page
Blog post of that day
fb-posts-ideology-heterogeneity
tweets-ideology-heterogeneity
gender-breakdown-mayor-tweet-counts


## snakecoin.py
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

## app.R
library(ggplot2)
library(shiny)

# Global variables can go here.
values <- runif(200)


# Define the UI.
ui <- fluidPage(
  radioButtons("n", "Approximate number of bins",

## mean_min_max.py
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)

## environment.yml
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

## EDA_20180306_inflammation.ipynb

      
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                mkcor
                / EDA_20180306_inflammation.ipynb
            
            
              Last active
              March 7, 2018 14:07
            
              
                Notebook we wrote during the "Programming with Python" module at 2018-03-06-nyu.
              
          
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## lisp_parser.py
#!/usr/bin/env python3

import ast

lisp_code = '(first (list 1 (+ 2 3) 9))'

# find innermost list
# get its abstract syntax tree (AST)
# (run it)
# find second innermost list and iterate
	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
	library(ggplot2)
	library(shiny)

	# Global variables can go here.
	values <- runif(200)


	# Define the UI.
	ui <- fluidPage(
	radioButtons("n", "Approximate number of bins",
	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)
	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
	#!/usr/bin/env python3

	import ast

	lisp_code = '(first (list 1 (+ 2 3) 9))'

	# find innermost list
	# get its abstract syntax tree (AST)
	# (run it)
	# find second innermost list and iterate