Unnamed: 0 int64 0 16k | text_prompt stringlengths 110 62.1k | code_prompt stringlengths 37 152k |
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13,000 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Http Response
Usage
To construct a response packet you have a variety of facilities available.
Previously we saw how to parse HTTP responses using HttpParser. Of-course, we can also constru... | Python Code:
from proxy.http.parser import HttpParser, httpParserTypes
from proxy.common.constants import HTTP_1_1
response = HttpParser(httpParserTypes.RESPONSE_PARSER)
response.code = b'200'
response.reason = b'OK'
response.version = HTTP_1_1
print(response.build_response())
Explanation: Http Response
Usage
To constr... |
13,001 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Function
Function basic
Function define
def use
argument define
Step1: return
함수의 종료 명시
값이 함께 오는 경우는 값을 호출한 곳으로 반환하면서 종료
리턴을 명시하지 않는 경우, 함수의 마지막라인이 실행된 후 리턴
Step2: e.g)문자열 포맷 함수
Step3: 1s... | Python Code:
def add(num1, num2):
return num1 + num2
result = add(232, 323)
print result
print add('abcd', 'efg')
#함수이름으로부터 기능이 명시되면 좋다.
def test_substraction(a, b):
return a - b
print test_substraction(5, 3)
#parameter(argument)
#int, string, float, list 등 어떤 파이썬 객체도 전달 가능
def len2(string):
return len(stri... |
13,002 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<table>
<tr>
<td width=15%><img src="./img/UGA.png"></img></td>
<td><center><h1>Introduction to Python for Data Sciences</h1></center></td>
<td width=15%><a href="http
Step1: Support Vector... | Python Code:
import numpy as np
import matplotlib.pyplot as plt
from sklearn.datasets import make_blobs
%matplotlib inline
# we create 40 separable points in R^2 around 2 centers (random_state=6 is a seed so that the set is separable)
X, y = make_blobs(n_samples=40, n_features=2, centers=2 , random_state=6)
print(X[:5,... |
13,003 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
This exercise will test your ability to read a data file and understand statistics about the data.
In later exercises, you will apply techniques to filter the data, build a machine learning ... | Python Code:
# Set up code checking
from learntools.core import binder
binder.bind(globals())
from learntools.machine_learning.ex2 import *
print("Setup Complete")
Explanation: This exercise will test your ability to read a data file and understand statistics about the data.
In later exercises, you will apply technique... |
13,004 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Notebook 5
In this notebook I add additional features to my dataframe that help explain the variation in the price of BTC. Furthermore, multiple regression will control for these features wi... | Python Code:
from sklearn.model_selection import train_test_split
%run helper_functions.py
%run filters.py
%run plotly_functions.py
%run master_func.py
%run btc_info_df.py
plt.style.use('fivethirtyeight')
%autosave 120
import quandl
from datetime import date
from tabulate import tabulate
from collections import Counter... |
13,005 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Markov switching dynamic regression models
This notebook provides an example of the use of Markov switching models in statsmodels to estimate dynamic regression models with changes in regime... | Python Code:
%matplotlib inline
import numpy as np
import pandas as pd
import statsmodels.api as sm
import matplotlib.pyplot as plt
# NBER recessions
from pandas_datareader.data import DataReader
from datetime import datetime
usrec = DataReader('USREC', 'fred', start=datetime(1947, 1, 1), end=datetime(2013, 4, 1))
Expl... |
13,006 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Passband Luminosity
Setup
Let's first make sure we have the latest version of PHOEBE 2.0 installed. (You can comment out this line if you don't use pip for your installation or don't want to... | Python Code:
!pip install -I "phoebe>=2.0,<2.1"
Explanation: Passband Luminosity
Setup
Let's first make sure we have the latest version of PHOEBE 2.0 installed. (You can comment out this line if you don't use pip for your installation or don't want to update to the latest release).
End of explanation
%matplotlib inline... |
13,007 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
QuTiP example
Step2: Landau-Zener-Stuckelberg interferometry
Step3: Versions | Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
from qutip import *
from qutip.ui.progressbar import TextProgressBar as ProgressBar
Explanation: QuTiP example: Landau-Zener-Stuckelberg inteferometry
J.R. Johansson and P.D. Nation
For more information about QuTiP see http://qutip.org
E... |
13,008 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Home Depot Product Search Relevance
The challenge is to predict a relevance score for the provided combinations of search terms and products. To create the ground truth labels, Home Depot ha... | Python Code:
import graphlab as gl
from nltk.stem import *
Explanation: Home Depot Product Search Relevance
The challenge is to predict a relevance score for the provided combinations of search terms and products. To create the ground truth labels, Home Depot has crowdsourced the search/product pairs to multiple human ... |
13,009 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
CSE 6040, Fall 2015 [11, Part A]
Step3: Solution 1
This solution first queries the database for the total number of complaints by type. It then uses these data to normalize the counts by ci... | Python Code:
import sqlite3 as db
disk_engine = db.connect ('NYC-311-2M.db')
import plotly.plotly as py
py.sign_in ('USERNAME', 'PASSWORD') # Connect!
import pandas as pd
import itertools
import time # To benchmark of these three solutions
import sys # for sys.stdout.flush ()
from plotly.graph_objs import Bar, Layout
d... |
13,010 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Introduction
機械学習とは、その名の通り「機械」を「学習」させることで、あるデータに対して予測を行えるようにすることです。
機械とは、具体的には数理・統計的なモデルになります。
学習とは、そのモデルのパラメータを、実際のデータに沿うよう調整することです。
学習の方法は大きく分けて2つあります。
教師有り学習(Supervised learning)
Step1:... | Python Code:
# enable showing matplotlib image inline
%matplotlib inline
Explanation: Introduction
機械学習とは、その名の通り「機械」を「学習」させることで、あるデータに対して予測を行えるようにすることです。
機械とは、具体的には数理・統計的なモデルになります。
学習とは、そのモデルのパラメータを、実際のデータに沿うよう調整することです。
学習の方法は大きく分けて2つあります。
教師有り学習(Supervised learning): データと、そこから予測されるべき値(正解)を与えることで学習させます。
分類(Classifica... |
13,011 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Click the button to launch this notebook in Binder
Step1: Alternately, to install from the latest version on pypi, uncomment and run the cell below
Step2: Sandhi Splitting
Splitting sandhi... | Python Code:
# !pip install git+https://github.com/kmadathil/sanskrit_parser
Explanation: Click the button to launch this notebook in Binder:
Sanskrit Parser Examples
The sanskrit_parser module supports 3 different usages, in order of increasing complexity:
1. tags - Morphological analysis of a word
2. sandhi - Sandhi... |
13,012 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
(Interactive) Plotting using Matplotlib and Seaborn
Matplotlib is basic plotting library for Python inspired by Matlab. Seaborn is built on top of it with integrated analysis and specialized... | Python Code:
#disable some annoying warning
import warnings
warnings.filterwarnings('ignore', category=FutureWarning)
#plots the figures in place instead of a new window
%matplotlib inline
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np
#use a standard dataset of heterogenou... |
13,013 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Below is an engineering mechanics problem that can be solved with Python. Follow along to see how to solve the problem with code.
Problem
Given
Step1: Assume the aluminum thickness is 2 mm ... | Python Code:
h = 40
b = 60
ha = 2
hs = h - 2*ha
Ea = 75*10**3 #Elastic modulus in MPa
Es = 200*10**3 #Elastic modulus in MPa
M = 1500*10**3 # N mm
Explanation: Below is an engineering mechanics problem that can be solved with Python. Follow along to see how to solve the problem with code.
Problem
Given:
Two aluminum st... |
13,014 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Setup
Let's setup our environment. We'll pull in the the usual gis suspects and setup a leaflet map, read our API keys from a json file, and setup our Planet client
Step1: Make a slippy map... | Python Code:
# See requirements.txt to set up your dev environment.
import sys
import os
import json
import scipy
import urllib
import datetime
import urllib3
import rasterio
import subprocess
import numpy as np
import pandas as pd
import seaborn as sns
from osgeo import gdal
from planet import api
from planet.api imp... |
13,015 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Deciphering a puzzle from a company's hiring page I came across
A friend asked me to look at a puzzle at the hiring page of a company he was applying to. Here is my attempt to the problem. H... | Python Code:
GivenString = "GGCTACTAACATGCCTTTCAACTTCCAGGGTTACTGTCAGGGTACTTATGCTCGCATTTACAAGGGCCCTACTCACTGTCAGAAGGGCTTTGGTCTTCAGGGCAATTCAAAAGAGAACCTACCGATCAATCCATCAGAGAACGAGCTTGGATGTGATACCCCTCACGCAGAAACGGCAGTTTGCATGTGGCGCGACAAAGCACCGCTTACGGAATGGATGTCGGGTGTCCGGGATACACTACTGGCTATAACATTCTGTATCAAGGCTCGGGTCGTATGGGTTAGGATGAGG... |
13,016 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Deep Q-learning
In this notebook, we'll build a neural network that can learn to play games through reinforcement learning. More specifically, we'll use Q-learning to train an agent to play ... | Python Code:
import gym
import tensorflow as tf
import numpy as np
Explanation: Deep Q-learning
In this notebook, we'll build a neural network that can learn to play games through reinforcement learning. More specifically, we'll use Q-learning to train an agent to play a game called Cart-Pole. In this game, a freely sw... |
13,017 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Computing a covariance matrix
Many methods in MNE, including source estimation and some classification
algorithms, require covariance estimations from the recordings.
In this tutorial we cov... | Python Code:
import os.path as op
import mne
from mne.datasets import sample
Explanation: Computing a covariance matrix
Many methods in MNE, including source estimation and some classification
algorithms, require covariance estimations from the recordings.
In this tutorial we cover the basics of sensor covariance compu... |
13,018 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
DTM Example
In this example we will present a sample usage of the DTM wrapper. Prior to using this you need to compile the DTM code yourself or use one of the binaries.
This tutorial is on W... | Python Code:
import logging
import os
from gensim import corpora, utils
from gensim.models.wrappers.dtmmodel import DtmModel
import numpy as np
if not os.environ.get('DTM_PATH', None):
raise ValueError("SKIP: You need to set the DTM path")
Explanation: DTM Example
In this example we will present a sample usage of t... |
13,019 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Embrasing web standards
One of the main reason that allowed us to developp the current notebook web application
was to embrase the web technology.
By beeing a pure web application using HT... | Python Code:
## you can inspect the autosave code to see what it does.
%autosave??
Explanation: Embrasing web standards
One of the main reason that allowed us to developp the current notebook web application
was to embrase the web technology.
By beeing a pure web application using HTML, Javascript and CSS, the Notebo... |
13,020 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Load $\delta$a$\delta$i
I have not installed dadi globally on huluvu. Instead, I left it in my Downloads directory '/home/claudius/Downloads/dadi'. In order for Python to find that module, I... | Python Code:
import sys
sys.path
sys.path.insert(0, '/home/claudius/Downloads/dadi')
sys.path
import dadi
import pylab
pylab.rcParams['figure.figsize'] = [12.0, 10.0]
%matplotlib inline
Explanation: Load $\delta$a$\delta$i
I have not installed dadi globally on huluvu. Instead, I left it in my Downloads directory '/home... |
13,021 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
ES-DOC CMIP6 Model Properties - Landice
MIP Era
Step1: Document Authors
Set document authors
Step2: Document Contributors
Specify document contributors
Step3: Document Publication
Specify... | Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'nasa-giss', 'sandbox-3', 'landice')
Explanation: ES-DOC CMIP6 Model Properties - Landice
MIP Era: CMIP6
Institute: NASA-GISS
Source ID: SANDBOX-3
Topic: Landice
Sub-Topics: Glaciers, ... |
13,022 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Sentiment Classification & How To "Frame Problems" for a Neural Network
by Andrew Trask
Twitter
Step1: Note
Step2: Lesson
Step3: Project 1
Step4: We'll create three Counter objects, one ... | Python Code:
def pretty_print_review_and_label(i):
print(labels[i] + "\t:\t" + reviews[i][:80] + "...")
g = open('reviews.txt','r') # What we know!
reviews = list(map(lambda x:x[:-1],g.readlines()))
g.close()
g = open('labels.txt','r') # What we WANT to know!
labels = list(map(lambda x:x[:-1].upper(),g.readlines())... |
13,023 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
A Simple Symbolic Calculator
This file shows how a simply symbolic calculator can be implemented using Ply.
Specification of the Scanner
Step1: The token Number specifies a fully featured f... | Python Code:
import ply.lex as lex
tokens = [ 'NUMBER', 'IDENTIFIER', 'ASSIGN_OP' ]
Explanation: A Simple Symbolic Calculator
This file shows how a simply symbolic calculator can be implemented using Ply.
Specification of the Scanner
End of explanation
def t_NUMBER(t):
r'0|[1-9][0-9]*(\.[0-9]+)?(e[+-]?([1-9][0-9]*)... |
13,024 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
ES-DOC CMIP6 Model Properties - Land
MIP Era
Step1: Document Authors
Set document authors
Step2: Document Contributors
Specify document contributors
Step3: Document Publication
Specify do... | Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'csir-csiro', 'sandbox-3', 'land')
Explanation: ES-DOC CMIP6 Model Properties - Land
MIP Era: CMIP6
Institute: CSIR-CSIRO
Source ID: SANDBOX-3
Topic: Land
Sub-Topics: Soil, Snow, Veget... |
13,025 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Index - Back - Next
Widget List
Step1: Numeric widgets
There are many widgets distributed with ipywidgets that are designed to display numeric values. Widgets exist for displaying integers... | Python Code:
import ipywidgets as widgets
Explanation: Index - Back - Next
Widget List
End of explanation
widgets.IntSlider(
value=7,
min=0,
max=10,
step=1,
description='Test:',
disabled=False,
continuous_update=False,
orientation='horizontal',
readout=True,
readout_format='d'
)
... |
13,026 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Source alignment and coordinate frames
The aim of this tutorial is to show how to visually assess that the data are
well aligned in space for computing the forward solution, and understand
t... | Python Code:
import os.path as op
import numpy as np
import mne
from mne.datasets import sample
print(__doc__)
data_path = sample.data_path()
subjects_dir = op.join(data_path, 'subjects')
raw_fname = op.join(data_path, 'MEG', 'sample', 'sample_audvis_raw.fif')
trans_fname = op.join(data_path, 'MEG', 'sample',
... |
13,027 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Jak získat datum státních svátku pro dané období pro analýzu v Pandas?
V pandas existuje způsob jak pracovat s datem a celkově kalendářem. Lze např. podle připraveného kalendáře filtrovat da... | Python Code:
import datetime as dt
from pandas.tseries.holiday import AbstractHolidayCalendar, Holiday, nearest_workday, \
USMartinLutherKingJr, USPresidentsDay, GoodFriday, USMemorialDay, \
USLaborDay, USThanksgivingDay
class USTradingCalendar(AbstractHolidayCalendar):
rules = [
Holiday('NewYearsDa... |
13,028 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Hoja 2. Ejercicios Python
Este cuaderno está pensado para que sigáis practicando con Python y ODEs. En esta hoja nos centraremos en el álgebra lineal y la difusión.
La base, como siempre, la... | Python Code:
import numpy as np
import matplotlib.pyplot as plt #Esta es otra forma de importar el submódulo pyplot!
#Igual de válida que la que hemos visto en clase
%matplotlib inline
Explanation: Hoja 2. Ejercicios Python
Este cuaderno está pensado para que sigáis practicando con Pyth... |
13,029 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Auto-generating Epochs metadata
This tutorial shows how to auto-generate metadata for ~mne.Epochs, based on
events via mne.epochs.make_metadata.
We are going to use data from the erp-core-da... | Python Code:
from pathlib import Path
import matplotlib.pyplot as plt
import mne
data_dir = Path(mne.datasets.erp_core.data_path())
infile = data_dir / 'ERP-CORE_Subject-001_Task-Flankers_eeg.fif'
raw = mne.io.read_raw(infile, preload=True)
raw.filter(l_freq=0.1, h_freq=40)
raw.plot(start=60)
# extract events
all_event... |
13,030 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Ordinary Differential Equations Exercise 1
Imports
Step2: Lorenz system
The Lorenz system is one of the earliest studied examples of a system of differential equations that exhibits chaotic... | Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
from scipy.integrate import odeint
from IPython.html.widgets import interact, fixed
Explanation: Ordinary Differential Equations Exercise 1
Imports
End of explanation
def lorentz_derivs(yvec, t, sigma, rho, beta):
Compute the the der... |
13,031 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Copyright (c) 2015, 2016 Sebastian Raschka
https
Step1: The use of watermark is optional. You can install this IPython extension via "pip install watermark". For more information, please se... | Python Code:
%load_ext watermark
%watermark -a '' -u -d -v -p numpy,pandas,matplotlib,sklearn,nltk
Explanation: Copyright (c) 2015, 2016 Sebastian Raschka
https://github.com/1iyiwei/pyml
MIT License
Python Machine Learning - Code Examples
Chapter 8 - Applying Machine Learning To Sentiment Analysis
Let's apply what we h... |
13,032 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Table of Contents
<p><div class="lev1"><a href="#Task-1.-Compiling-Ebola-Data"><span class="toc-item-num">Task 1. </span>Compiling Ebola Data</a></div>
<div class="lev1"><a href=... | Python Code:
DATA_FOLDER = 'Data' # Use the data folder provided in Tutorial 02 - Intro to Pandas.
%matplotlib inline
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import datetime
from dateutil.parser import parse
from os import listdir
from os.path import isfile, join
sns... |
13,033 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Optimization Exercise 1
Imports
Step1: Hat potential
The following potential is often used in Physics and other fields to describe symmetry breaking and is often known as the "hat potential... | Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
import scipy.optimize as opt
from scipy.optimize import minimize, rosen, rosen_der
Explanation: Optimization Exercise 1
Imports
End of explanation
def hat(x,a,b):
return -a*(x**2) + b*(x**4)
assert hat(0.0, 1.0, 1.0)==0.0
assert hat(... |
13,034 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Demo code for network-to-network information transfer for supplementary figure 1
Takuya Ito
04/19/2017
Step1: 0.0 Basic parameters
Step2: 1.0 Run information transfer mapping procedure
1.1... | Python Code:
import sys
import numpy as np
import scipy.stats as stats
import matplotlib.pyplot as plt
import statsmodels.sandbox.stats.multicomp as mc
import multiprocessing as mp
%matplotlib inline
import os
os.environ['OMP_NUM_THREADS'] = str(1)
import warnings
warnings.filterwarnings('ignore')
import networkinforma... |
13,035 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Comparing the ground state energies obtained by density matrix renormalization group, exact diagonalization, and an SDP hierarchy
We would like to compare the ground state energy of the foll... | Python Code:
import pyalps
Explanation: Comparing the ground state energies obtained by density matrix renormalization group, exact diagonalization, and an SDP hierarchy
We would like to compare the ground state energy of the following spinless fermionic system [1]:
$H_{\mathrm{free}}=\sum_{<rs>}\left[c_{r}^{\dagger} c... |
13,036 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Matplotlib Exercise 3
Imports
Step2: Contour plots of 2d wavefunctions
The wavefunction of a 2d quantum well is
Step3: The contour, contourf, pcolor and pcolormesh functions of Matplotlib ... | Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
Explanation: Matplotlib Exercise 3
Imports
End of explanation
def well2d(x, y, nx, ny, L=1.0):
Compute the 2d quantum well wave function.
i=np.sin(nx*np.pi*x/L)
o=np.sin(ny*np.pi*y/L)
return((2/L)*i*o)
psi = well2d(np.lin... |
13,037 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
seaborn.swarmplot
Violinplots summarize numeric data over a set of categories. They are essentially a box plot with a kernel density estimate (KDE) overlaid along the range of the box and re... | Python Code:
%matplotlib inline
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
plt.rcParams['figure.figsize'] = (20.0, 10.0)
plt.rcParams['font.family'] = "serif"
df = pd.read_csv('../../../datasets/movie_metadata.csv')
df.head()
Explanation: seaborn.swarmplot
Violinplots s... |
13,038 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
2D Data Plots and Analysis
Unit 7, Lecture 4
Numerical Methods and Statistics
Prof. Andrew White, Feburary 27th 2018
Step1: Working with 2D data
Now we'll consider 2D numeric data. Recall t... | Python Code:
%matplotlib inline
import random
import numpy as np
import matplotlib.pyplot as plt
from math import sqrt, pi
import scipy
import scipy.stats
plt.style.use('seaborn-whitegrid')
Explanation: 2D Data Plots and Analysis
Unit 7, Lecture 4
Numerical Methods and Statistics
Prof. Andrew White, Feburary 27th 2018
... |
13,039 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Binary with Spots
Setup
Let's first make sure we have the latest version of PHOEBE 2.1 installed. (You can comment out this line if you don't use pip for your installation or don't want to u... | Python Code:
!pip install -I "phoebe>=2.1,<2.2"
Explanation: Binary with Spots
Setup
Let's first make sure we have the latest version of PHOEBE 2.1 installed. (You can comment out this line if you don't use pip for your installation or don't want to update to the latest release).
End of explanation
%matplotlib inline
i... |
13,040 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
ES-DOC CMIP6 Model Properties - Ocnbgchem
MIP Era
Step1: Document Authors
Set document authors
Step2: Document Contributors
Specify document contributors
Step3: Document Publication
Speci... | Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'uhh', 'sandbox-2', 'ocnbgchem')
Explanation: ES-DOC CMIP6 Model Properties - Ocnbgchem
MIP Era: CMIP6
Institute: UHH
Source ID: SANDBOX-2
Topic: Ocnbgchem
Sub-Topics: Tracers.
Proper... |
13,041 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Executed
Step1: Notebook arguments
sigma (float)
Step2: Fitting models
Models used to fit the data.
1. Simple Exponential
In this model, we define the model function as an exponential tran... | Python Code:
sigma = 0.016
time_window = 30
time_step = 5
time_start = -900
time_stop = 900
decimation = 20
t0_vary = True
true_params = dict(
tau = 60, # time constant
init_value = 0.3, # initial value (for t < t0)
final_value = 0.8, # final value (for t -> +inf)
t0 = 0) ... |
13,042 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Beginners' tutorial
Step2: Table of Contents
Bayesian probability revision
The model
Bayesian optimisation
Bayesian sampling/MCMC
Conclusion
Bayesian probability revision <a class="anchor" ... | Python Code:
import numpy as np
import math
import matplotlib.pyplot as plt
import scipy
from scipy import optimize, integrate
import pints
Explanation: Beginners' tutorial: Bayesian inference & optimisation with Pints
Prerequisites for running the code in this notebook are Python 3 with the modules below. All of the m... |
13,043 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Simon #metoo step2
Step1: Turn on logging.
Step2: Document pre-processing
We start with units of text represented as text files in a folder.
Step3: Remove stopwords and tokenize.
Step4: ... | Python Code:
import pandas as pd
pd.set_option('display.max_colwidth', -1)
from string import punctuation
from collections import defaultdict
from gensim import corpora, models, matutils
from nltk.stem.wordnet import WordNetLemmatizer
from nltk.corpus import stopwords
import re
import glob
Explanation: Simon #metoo ste... |
13,044 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Step1: Calculate sand proportion
We'd like to compute a running-window sand log, given some striplog.
These are some sand beds
Step2: Make a striplog
Step3: Make a sand flag log
We'll make... | Python Code:
text = top,base,comp number
24.22,24.17,20
24.02,23.38,19
22.97,22.91,18
22.67,22.62,17
21.23,21.17,16
19.85,19.8,15
17.9,17.5,14
17.17,15.5,13
15.18,14.96,12
14.65,13.93,11
13.4,13.05,10
11.94,11.87,9
10.17,10.11,8
7.54,7.49,7
6,5.95,6
5.3,5.25,5
4.91,3.04,4
2.92,2.6,3
2.22,2.17,2
1.9,1.75,1
Explanation: ... |
13,045 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Check missing data or NaN
Data exploration
Analysis on
1. Age
2. Pages visited
3. New user
Columns
Step1: <a id = 'section1'></a>
Check for missing data, or NaN
Step2: <a id='sectio... | Python Code:
import pandas as pd
import numpy as np
columns=['country','age','new_user','source','total_pages_visited','converted']
df = pd.read_csv('conversion_data.csv')
df.columns=columns
df.head(2)
Explanation: Check missing data or NaN
Data exploration
Analysis on
1. Age
2. Pages visited
3. New user
Columns... |
13,046 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Classification
Here we test different classification algorithms for the generated graph measures dataset. Section 3.6 of the report describes the algorithms and results.
Step1: Visualisatio... | Python Code:
import numpy as np
import random
random.seed(20)
import matplotlib
# Set backend to pgf
matplotlib.use('pgf')
import matplotlib.pyplot as plt
# Some nice default configuration for plots
plt.rcParams['figure.figsize'] = 10, 7.5
plt.rcParams['axes.grid'] = True
#plt.gray()
%matplotlib inline
from scipy.io i... |
13,047 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Explauto, an open-source Python library to study autonomous exploration in developmental robotics
Explauto is an open-source Python library providing a unified API to design and compare vari... | Python Code:
from __future__ import print_function
from explauto.environment import environments
environments.keys()
Explanation: Explauto, an open-source Python library to study autonomous exploration in developmental robotics
Explauto is an open-source Python library providing a unified API to design and compare vari... |
13,048 | Given the following text problem statement, write Python code to implement the functionality described below in problem statement
Problem:
I have a numpy array which contains time series data. I want to bin that array into equal partitions of a given length (it is fine to drop the last partition if it is not the same s... | Problem:
import numpy as np
data = np.array([4, 2, 5, 6, 7, 5, 4, 3, 5, 7])
bin_size = 3
new_data = data[::-1]
bin_data_mean = new_data[:(data.size // bin_size) * bin_size].reshape(-1, bin_size).mean(axis=1) |
13,049 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
XGBoost Article
The data here is taken form the Data Hackathon3.x - http
Step1: Load Data
Step2: Define a function for modeling and cross-validation
This function will do the following
Ste... | Python Code:
import os
import pandas as pd
import numpy as np
import xgboost as xgb
from xgboost.sklearn import XGBClassifier
from sklearn import cross_validation, metrics
from sklearn.grid_search import GridSearchCV
from sklearn.model_selection import train_test_split
import matplotlib.pylab as plt
%matplotlib inline
... |
13,050 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Linear Regression
Setup
First, let's set up some environmental dependencies. These just make the numerics easier and adjust some of the plotting defaults to make things more legible.
Step1: ... | Python Code:
# system functions that are always useful to have
import time, sys, os
# basic numeric setup
import numpy as np
# inline plotting
%matplotlib inline
# plotting
import matplotlib
from matplotlib import pyplot as plt
# seed the random number generator
rstate= np.random.default_rng(56101)
# re-defining plotti... |
13,051 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
This notebook introduces the notion of computing the general linear model using linear algebra. First we load the necessarily libraries.
Step2: A simple example
We start with a simple exam... | Python Code:
import numpy,pandas
import matplotlib.pyplot as plt
import seaborn as sns
import scipy.stats
import statsmodels.api as sm
import statsmodels
from statsmodels.formula.api import ols,glsar
from statsmodels.tsa.arima_process import arma_generate_sample
from scipy.linalg import toeplitz
from IPython.display im... |
13,052 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Vidic, Fajfar and Fischinger (1994)
This procedure, proposed by Vidic, Fajfar and Fischinger (1994), aims to determine the displacements from an inelastic design spectra for systems with a ... | Python Code:
import vidic_etal_1994
from rmtk.vulnerability.common import utils
%matplotlib inline
Explanation: Vidic, Fajfar and Fischinger (1994)
This procedure, proposed by Vidic, Fajfar and Fischinger (1994), aims to determine the displacements from an inelastic design spectra for systems with a given ductility f... |
13,053 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Step7: Python Environment
We show here some examples of how to run Python on a Pynq platform. Python 3.6
is running exclusively on the ARM processor.
In the first example, which is based ... | Python Code:
Factors-and-primes functions.
Find factors or primes of integers, int ranges and int lists
and sets of integers with most factors in a given integer interval
def factorize(n):
Calculate all factors of integer n.
factors = []
if isinstance(n, int) and n > 0:
if n == 1:
... |
13,054 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Regression Week 1
Step1: Load house sales data
Dataset is from house sales in King County, the region where the city of Seattle, WA is located.
Step2: Split data into training and testing
... | Python Code:
import graphlab
Explanation: Regression Week 1: Simple Linear Regression
In this notebook we will use data on house sales in King County to predict house prices using simple (one input) linear regression. You will:
* Use graphlab SArray and SFrame functions to compute important summary statistics
* Write a... |
13,055 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Checkpoints Design Pattern
This notebook demonstrates how to set up checkpointing in Keras.
The model tries to predict whether or not a ride includes a toll.
Creating dataset
Create dataset ... | Python Code:
import tensorflow as tf
from tensorflow.python.framework import dtypes
from tensorflow_io.bigquery import BigQueryClient
from tensorflow_io.bigquery import BigQueryReadSession
def features_and_labels(features):
label = features.pop('tolls_amount') # this is what we will train for
return features, tf.ca... |
13,056 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Sports scheduling
In sports scheduling we usually have a bunch of games which are basically tasks requiring the two competing teams and a field as resources, so lets formulate this
Step1: H... | Python Code:
import sys;sys.path.append('../src')
from pyschedule import Scenario, solvers, plotters, alt
n_teams = 12 # Number of teams
n_fields = int(n_teams/2) # Num of fields
n_rounds = n_teams-1 # Number of rounds
# Create scenario
S = Scenario('sport_scheduling',horizon=n_rounds)
# Game tasks
Games = { (i,j) : S.... |
13,057 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
ES-DOC CMIP6 Model Properties - Aerosol
MIP Era
Step1: Document Authors
Set document authors
Step2: Document Contributors
Specify document contributors
Step3: Document Publication
Specify... | Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'uhh', 'sandbox-2', 'aerosol')
Explanation: ES-DOC CMIP6 Model Properties - Aerosol
MIP Era: CMIP6
Institute: UHH
Source ID: SANDBOX-2
Topic: Aerosol
Sub-Topics: Transport, Emissions, ... |
13,058 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Analyze
The hypertools analyze function allows you to perform complex analyses (normalization, dimensionality reduction and alignment) in a single line of code!
(Note that the order of opera... | Python Code:
import hypertools as hyp
import seaborn as sb
import matplotlib.pyplot as plt
%matplotlib inline
Explanation: Analyze
The hypertools analyze function allows you to perform complex analyses (normalization, dimensionality reduction and alignment) in a single line of code!
(Note that the order of operation is... |
13,059 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Figure S1
Step1: Load phase boundary data
Step2: Load optimization data
Step3: Put it all together and produce the final figure | Python Code:
import sys
sys.path.append('../lib/')
import numpy as np
import matplotlib.text
import matplotlib.pyplot as plt
from matplotlib import cm
%matplotlib inline
import shapely.ops
import plotting
import evolimmune
from plotting import *
import analysis
%load_ext autoreload
%autoreload 2
plt.style.use(['paper']... |
13,060 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
ES-DOC CMIP6 Model Properties - Ocean
MIP Era
Step1: Document Authors
Set document authors
Step2: Document Contributors
Specify document contributors
Step3: Document Publication
Specify d... | Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'messy-consortium', 'emac-2-53-vol', 'ocean')
Explanation: ES-DOC CMIP6 Model Properties - Ocean
MIP Era: CMIP6
Institute: MESSY-CONSORTIUM
Source ID: EMAC-2-53-VOL
Topic: Ocean
Sub-To... |
13,061 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
E2E ML on GCP
Step1: Restart the kernel
Once you've installed the additional packages, you need to restart the notebook kernel so it can find the packages.
Step2: Before you begin
Set up y... | Python Code:
import os
# The Vertex AI Workbench Notebook product has specific requirements
IS_WORKBENCH_NOTEBOOK = os.getenv("DL_ANACONDA_HOME")
IS_USER_MANAGED_WORKBENCH_NOTEBOOK = os.path.exists(
"/opt/deeplearning/metadata/env_version"
)
# Vertex AI Notebook requires dependencies to be installed with '--user'
U... |
13,062 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
PROMISE12 prostate segmentation demo
Preparation
Step1: 3) Make sure you have all the dependencies installed (replacing gpu with cpu for cpu-only mode)
Step2: Training a network from the c... | Python Code:
import os,sys
niftynet_path=r'path/to/NiftyNet'
os.chdir(niftynet_path)
Explanation: PROMISE12 prostate segmentation demo
Preparation:
1) Make sure you have set up the PROMISE12 data set. If not, download it from https://promise12.grand-challenge.org/ (registration required) and run data/PROMISE12/setup.p... |
13,063 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
SSL Connection Examples
Connecting to a Redis instance via SSL.
Step1: Connecting to a Redis instance via a URL string
Step2: Connecting to a Redis instance via SSL, while specifying a sel... | Python Code:
import redis
ssl_connection = redis.Redis(host='localhost', port=6666, ssl=True, ssl_cert_reqs="none")
ssl_connection.ping()
Explanation: SSL Connection Examples
Connecting to a Redis instance via SSL.
End of explanation
import redis
url_connection = redis.from_url("redis://localhost:6379?ssl_cert_reqs=non... |
13,064 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Introduction
Welcome to the feature engineering project for the House Prices - Advanced Regression Techniques competition! This competition uses nearly the same data you used in the exercise... | Python Code:
#$HIDE_INPUT$
import os
import warnings
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
from IPython.display import display
from pandas.api.types import CategoricalDtype
from category_encoders import MEstimateEncoder
from sklearn.cluster... |
13,065 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Práctica 3 - Dinámica de manipuladores
List comprehensions
En esta práctica nos enfocaremos en temas avanzados de programación que se aplican directamente al lenguaje de programación Python ... | Python Code:
range(5)
Explanation: Práctica 3 - Dinámica de manipuladores
List comprehensions
En esta práctica nos enfocaremos en temas avanzados de programación que se aplican directamente al lenguaje de programación Python y a algunos otros lenguajes de programación. En primer lugar veamos la instrucción range:
End o... |
13,066 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Exercises
Step1: Data
Step2: Exercise 1
Step3: Exercise 2
Step4: Exercise 3 | Python Code:
# Useful Libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
Explanation: Exercises: Variance
By Christopher van Hoecke, Maxwell Margenot, and Delaney Mackenzie
Lecture Link :
https://www.quantopian.com/lectures/variance
IMPORTANT NOTE:
This lecture corresponds to the Variance ... |
13,067 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Vertex AI SDK
Step1: Install the latest GA version of google-cloud-storage library.
Step2: Install the latest version of tensorflow library.
Step3: Restart the kernel
Once you've install... | Python Code:
import os
# Google Cloud Notebook
if os.path.exists("/opt/deeplearning/metadata/env_version"):
USER_FLAG = "--user"
else:
USER_FLAG = ""
! pip3 install --upgrade google-cloud-aiplatform $USER_FLAG
Explanation: Vertex AI SDK : AutoML training image object detection model for batch prediction
<table ... |
13,068 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<table class="ee-notebook-buttons" align="left"><td>
<a target="_blank" href="http
Step1: Obtain a private key file for your service account
You should already have a service account regis... | Python Code:
# INSERT YOUR PROJECT HERE
PROJECT = 'your-project'
!gcloud auth login --project {PROJECT}
Explanation: <table class="ee-notebook-buttons" align="left"><td>
<a target="_blank" href="http://colab.research.google.com/github/google/earthengine-api/blob/master/python/examples/ipynb/Earth_Engine_REST_API_compu... |
13,069 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Autonomous driving - Car detection
Welcome to your week 3 programming assignment. You will learn about object detection using the very powerful YOLO model. Many of the ideas in this notebook... | Python Code:
import argparse
import os
import matplotlib.pyplot as plt
from matplotlib.pyplot import imshow
import scipy.io
import scipy.misc
import numpy as np
import pandas as pd
import PIL
import tensorflow as tf
from keras import backend as K
from keras.layers import Input, Lambda, Conv2D
from keras.models import l... |
13,070 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Outline
Glossary
1. Radio Science using Interferometric Arrays
Previous
Step1: Import section specific modules
Step2: 1.10 The Limits of Single Dish Astronomy
In the previous section ... | Python Code:
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
from IPython.display import HTML
HTML('../style/course.css') #apply general CSS
Explanation: Outline
Glossary
1. Radio Science using Interferometric Arrays
Previous: 1.9 A brief introduction to interferometry
Next: 1.11 Modern Interfe... |
13,071 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Homework
Step1: I follow the scikit-image tutorial on segmentation | Python Code:
import numpy as np
import matplotlib.pyplot as plt
from skimage import data
%matplotlib inline
from skimage.filters import sobel
from scipy import ndimage as ndi
from skimage.measure import regionprops
from skimage.color import label2rgb
from skimage.morphology import watershed
Explanation: Homework: sciki... |
13,072 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
MR Imaging
Class
Step1: Next we define two small functions to convert between coordinate systems.
Step5: Now we will define several functions that will be employed in the tutorial to illus... | Python Code:
%pylab inline
import matplotlib as mpl
mpl.rcParams["figure.figsize"] = (8, 6)
mpl.rcParams["axes.grid"] = True
from IPython.display import display, clear_output
from time import sleep
Explanation: MR Imaging
Class: Psych 204a
Tutorial: MR Imaging
Author: Wandell
Date: 03.15.04
Duration: 90 m... |
13,073 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
1.2.4. Comparing word use between corpora
In previous notebooks we examined changes in word use over time using several different statistical approaches. In this notebook, we will examine di... | Python Code:
from tethne.readers import wos
pj_corpus = wos.read('../data/Baldwin/PlantJournal/')
pp_corpus = wos.read('../data/Baldwin/PlantPhysiology/')
Explanation: 1.2.4. Comparing word use between corpora
In previous notebooks we examined changes in word use over time using several different statistical approaches... |
13,074 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Building Models in PyMC
Bayesian inference begins with specification of a probability model
relating unknown variables to data. PyMC provides three basic building
blocks for Bayesian probabi... | Python Code:
import pymc as pm
import numpy as np
from pymc.examples import disaster_model
switchpoint = pm.DiscreteUniform('switchpoint', lower=0, upper=110)
Explanation: Building Models in PyMC
Bayesian inference begins with specification of a probability model
relating unknown variables to data. PyMC provides three ... |
13,075 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
ES-DOC CMIP6 Model Properties - Land
MIP Era
Step1: Document Authors
Set document authors
Step2: Document Contributors
Specify document contributors
Step3: Document Publication
Specify do... | Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'cas', 'sandbox-2', 'land')
Explanation: ES-DOC CMIP6 Model Properties - Land
MIP Era: CMIP6
Institute: CAS
Source ID: SANDBOX-2
Topic: Land
Sub-Topics: Soil, Snow, Vegetation, Energy ... |
13,076 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Absolute Motion
During the first week we discussed reference frames and coordinate systems to represent the motion of particles. This was the “absolute motion” that was always measured rela... | Python Code:
from rel_motion import *
# Fixed Frame A
A = np.eye(3) # identity matrix E1=(1,0,0), E2=(0,1,0), E3=(0,0,1)
rO = np.array((0,0,0))
rP = np.array( (5, 0, 0))
plotAbsMotion(A, rO, rP)
Explanation: Absolute Motion
During the first week we discussed reference frames and coordinate systems to represent the moti... |
13,077 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Copyright 2020 The TensorFlow Authors.
Step1: Preparing text to use with TensorFlow models
<table class="tfo-notebook-buttons" align="left">
<td>
<a target="_blank" href="https
Step2:... | Python Code:
#@title Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# dist... |
13,078 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Progress Reporting and Command Observers <a href="https
Step1: We need to add a command to display the progress reported by the ProcessObject
Step2: Back to watching the progress of out Ga... | Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import SimpleITK as sitk
print(sitk.Version())
import sys
import os
import threading
from myshow import myshow
from myshow import myshow3d
size = 256 # if this is too fast increase the size
img = sitk.GaborSource(
sitk.sitkFloat32,
size=[size] * 3... |
13,079 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Title
Step1: Create some text
Step2: Apply regex | Python Code:
# Load regex package
import re
Explanation: Title: Match Times
Slug: match_times
Summary: Match Times
Date: 2016-05-01 12:00
Category: Regex
Tags: Basics
Authors: Chris Albon
Based on: StackOverflow
Preliminaries
End of explanation
# Create a variable containing a text string
text = 'Chris: 12:34am. Stev... |
13,080 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Anomaly Detection
Step1: Next we transform the DATE column in an appropriate timestamp format, and the fred_dcoilbrenteu SFrame in a TimeSeries object.
Step2: We can plot the fred_dcoilbre... | Python Code:
import graphlab as gl
import matplotlib.pyplot as plt
fred_dcoilbrenteu = gl.SFrame.read_csv('./FRED-DCOILBRENTEU.csv')
fred_dcoilbrenteu
Explanation: Anomaly Detection: Moving Z-Score and Bayesian Changepoints Model
Introductory Remarks
Anomalies are data points that are different from other observations ... |
13,081 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Display sensitivity maps for EEG and MEG sensors
Sensitivity maps can be produced from forward operators that
indicate how well different sensor types will be able to detect
neural currents ... | Python Code:
# Author: Eric Larson <larson.eric.d@gmail.com>
#
# License: BSD (3-clause)
import mne
from mne.datasets import sample
import matplotlib.pyplot as plt
print(__doc__)
data_path = sample.data_path()
raw_fname = data_path + '/MEG/sample/sample_audvis_raw.fif'
fwd_fname = data_path + '/MEG/sample/sample_audvis... |
13,082 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Step1: AWS (S3, Redshift, Kinesis) + Databricks Spark = Real-time Smart Meter Analytics
Create S3 Bucket
Step2: Copy Postgres to S3 via Postgres dump to CSV and s3cmd upload
Step3: Amazon ... | Python Code:
s3 = boto3.client('s3')
s3.list_buckets()
def create_s3_bucket(bucketname):
Quick method to create bucket with exception handling
s3 = boto3.resource('s3')
exists = True
bucket = s3.Bucket(bucketname)
try:
s3.meta.client.head_bucket(Bucket=bucketname)
except botocore.excepti... |
13,083 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
다변수 가우시안 정규 분포
다변수 가우시안 정규 분포 혹은 간단히 다변수 정규 분포(MVN
Step1: 경우 2
만약
$$
\mu = \begin{bmatrix}2 \ 3 \end{bmatrix}. \;\;\;
\Sigma = \begin{bmatrix}2 & -1 \ 2 & 4 \end{bmatrix}
$$
이면
$$
| \S... | Python Code:
mu = [2, 3]
cov = [[1, 0], [0, 1]]
rv = sp.stats.multivariate_normal(mu, cov)
xx = np.linspace(0, 4, 120)
yy = np.linspace(1, 5, 150)
XX, YY = np.meshgrid(xx, yy)
plt.grid(False)
plt.contourf(XX, YY, rv.pdf(np.dstack([XX, YY])))
plt.axis("equal")
plt.show()
Explanation: 다변수 가우시안 정규 분포
다변수 가우시안 정규 분포 혹은 간단히... |
13,084 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Finite-Length Capacity of the BSC and BEC Channels
This code is provided as supplementary material of the lecture Channel Coding 2 - Advanced Methods.
This code illustrates
* Calculating the... | Python Code:
import numpy as np
from scipy.stats import norm
import matplotlib
import matplotlib.pyplot as plt
# plotting options
font = {'size' : 20}
plt.rc('font', **font)
plt.rc('text', usetex=matplotlib.checkdep_usetex(True))
matplotlib.rc('figure', figsize=(18, 6) )
Explanation: Finite-Length Capacity of the BS... |
13,085 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Lid driven Cavity (GPU)
The following command is important to view matplotlib plots on a jupyter notebook
Step1: cf. http
Step2: Making a colorbar, making colormaps, Show colormaps, in mat... | Python Code:
# %matplotlib inline
Explanation: Lid driven Cavity (GPU)
The following command is important to view matplotlib plots on a jupyter notebook
End of explanation
%matplotlib notebook
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import os, sys
from matplotlib.mlab import griddata
im... |
13,086 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Getting info on Priming experiment dataset that's needed for modeling
Info
Step1: Init
Step2: Loading OTU table (filter to just bulk samples)
Step3: Which gradient(s) to simulate?
Step4: ... | Python Code:
baseDir = '/home/nick/notebook/SIPSim/dev/priming_exp/'
workDir = os.path.join(baseDir, 'exp_info')
otuTableFile = '/var/seq_data/priming_exp/data/otu_table.txt'
otuTableSumFile = '/var/seq_data/priming_exp/data/otu_table_summary.txt'
metaDataFile = '/var/seq_data/priming_exp/data/allsample_metadata_nomock... |
13,087 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Notebook 2
Step1: Download the sequence data
Sequence data for this study are archived on the NCBI sequence read archive (SRA). Below I read in SraRunTable.txt downloaded from the SRA websi... | Python Code:
### Notebook 2
### Data set 2 (Phrynosomatidae)
### Authors: Leache et al. (2015)
### Data Location: NCBI SRA SRP063316
Explanation: Notebook 2:
This is an Jupyter/IPython notebook. Most of the code is composed of bash scripts, indicated by %%bash at the top of the cell, otherwise it is IPython code. This ... |
13,088 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
FD_1D_DX4_DT4_ABS 1-D acoustic Finite-Difference modelling
GNU General Public License v3.0
Author
Step1: Input Parameter
Step2: Preparation
Step3: Create space and time vector
Step4: Sou... | Python Code:
%matplotlib inline
import numpy as np
import time as tm
import matplotlib.pyplot as plt
Explanation: FD_1D_DX4_DT4_ABS 1-D acoustic Finite-Difference modelling
GNU General Public License v3.0
Author: Florian Wittkamp
Finite-Difference acoustic seismic wave simulation
Discretization of the first-order acous... |
13,089 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
ARDC Training
Step1: Browse the available Data Cubes
Step2: Pick a product
Use the platform and product names from the previous block to select a Data Cube.
Step3: Display Latitude-Longit... | Python Code:
import datacube
import utils.data_cube_utilities.data_access_api as dc_api
from datacube.utils.aws import configure_s3_access
configure_s3_access(requester_pays=True)
api = dc_api.DataAccessApi()
dc = datacube.Datacube(app = 'ardc_task_c')
api.dc = dc
Explanation: ARDC Training: Python Notebooks
Task-C: ... |
13,090 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Converting <span style="font-variant
Step1: Imports
We will use the package ply to remove the
<span style="font-variant
Step2: Token Declarations
We begin by declaring the tokens. Note t... | Python Code:
data = \
'''
<html>
<head>
<meta charset="utf-8">
<title>Homepage of Prof. Dr. Karl Stroetmann</title>
<link type="text/css" rel="stylesheet" href="style.css" />
<link href="http://fonts.googleapis.com/css?family=Rochester&subset=latin,latin-ext"
rel="stylesheet" type="text/css"... |
13,091 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<small><i>This notebook is based on one put together by Mark Krumholz and has been modified to suit the purposes of this course, including expansion/modification of explanations and addition... | Python Code:
from numpy import *
import matplotlib.pyplot as plt
%matplotlib inline
Explanation: <small><i>This notebook is based on one put together by Mark Krumholz and has been modified to suit the purposes of this course, including expansion/modification of explanations and additional exercises. The original can be... |
13,092 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
AVISO
Step1: O ponto de partida foi uma lista 326.716 palavras da língua portuguesa que compilei a partir de várias fontes. Aqui eu leio o arquivo, verifico que são todas palavras únicas e ... | Python Code:
6**5
Explanation: AVISO: Este projeto migrou para o repositório https://github.com/ramalho/dadoware
Diceware: método seguro para gerar senhas
Fonte: The Diceware Passphrase Home Page
Compilação da lista de palavras
Neste notebook comecei com uma grande lista palavras da língua portuguesa, que fui sucessiva... |
13,093 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
version 1.0.2
+
Introduction to Machine Learning with Apache Spark
Predicting Movie Ratings
One of the most common uses of big data is to predict what users want. This allows Google to sh... | Python Code:
import sys
import os
from test_helper import Test
baseDir = os.path.join('data')
inputPath = os.path.join('cs100', 'lab4', 'small')
ratingsFilename = os.path.join(baseDir, inputPath, 'ratings.dat.gz')
moviesFilename = os.path.join(baseDir, inputPath, 'movies.dat')
Explanation: version 1.0.2
+
Introductio... |
13,094 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Step1: Setting the scale
This recipe demonstrates how the scale of the Sankey diagram is set.
By default the scale is calculated for each diagram to achieve a certain whitespace-to-flow rati... | Python Code:
import pandas as pd
from io import StringIO
flows = pd.read_csv(StringIO(
year,source,target,value
2020,A,B,10
2025,A,B,20
))
flows
from floweaver import *
# Set the default size to fit the documentation better.
size = dict(width=100, height=100,
margins=dict(left=20, right=20, top=10, bottom=1... |
13,095 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Additional forces
REBOUND is a gravitational N-body integrator. But you can also use it to integrate systems with additional, non-gravitational forces.
This tutorial gives you a very quick o... | Python Code:
import rebound
sim = rebound.Simulation()
sim.integrator = "whfast"
sim.add(m=1.)
sim.add(m=1e-6,a=1.)
sim.move_to_com() # Moves to the center of momentum frame
Explanation: Additional forces
REBOUND is a gravitational N-body integrator. But you can also use it to integrate systems with additional, non-gr... |
13,096 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Bayesian Parametric Regression
Notebook version
Step1: 1. Model-based parametric regression
1.1. The regression problem.
Given an observation vector ${\bf x}$, the goal of the regression pr... | Python Code:
# Import some libraries that will be necessary for working with data and displaying plots
# To visualize plots in the notebook
%matplotlib inline
from IPython import display
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import scipy.io # To read matlab files
import pylab
impor... |
13,097 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Spatial queries
Step1: Let's check if those points are within the polygon
Step2: Okey, so we can see that the first point seems to be inside that polygon and the other one doesn't.
In fac... | Python Code:
from shapely.geometry import Point, Polygon
# Create Point objects
p1 = Point(24.952242, 60.1696017)
p2 = Point(24.976567, 60.1612500)
# Create a Polygon
coords = [(24.950899, 60.169158), (24.953492, 60.169158), (24.953510, 60.170104), (24.950958, 60.169990)]
poly = Polygon(coords)
# Let's check what we ha... |
13,098 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Document retrieval from wikipedia data
Fire up GraphLab Create
Step1: Load some text data - from wikipedia, pages on people
Step2: Data contains
Step3: Explore the dataset and checkout th... | Python Code:
import graphlab
Explanation: Document retrieval from wikipedia data
Fire up GraphLab Create
End of explanation
people = graphlab.SFrame('people_wiki.gl/')
Explanation: Load some text data - from wikipedia, pages on people
End of explanation
people.head()
len(people)
Explanation: Data contains: link to wik... |
13,099 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Step1: This notebook is to test the inheritance machinery in gemini.
Families are drawn in an image where
Affection
white fill means unaffected
gray fill means unknown
black fill means affec... | Python Code:
import gemini.tests
from gemini.tests.test_inheritance import TestFamily, family
Sample = family.Sample
HOM_REF, HET, UNKNOWN, HOM_ALT = range(4)
fam = TestFamily(
#family_id sample_id paternal_id maternal_id sex phenotype
1 dad 0 0 1 1
1 mom grandpa grandma 2 1
1 kid dad mom... |
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