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6,400 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Self-Driving Car Engineer Nanodegree
Deep Learning
Project
Step1: Step 1
Step2: Include an exploratory visualization of the dataset
Visualize the German Traffic Signs Dataset using the pic... | Python Code:
# Load pickled data
import pickle
# TODO: Fill this in based on where you saved the training and testing data
training_file = "traffic-signs/train.p"
validation_file= "traffic-signs/valid.p"
testing_file = "traffic-signs/test.p"
with open(training_file, mode='rb') as f:
train = pickle.load(f)
with open... |
6,401 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
TF-Slim Walkthrough
This notebook will walk you through the basics of using TF-Slim to define, train and evaluate neural networks on various tasks. It assumes a basic knowledge of neural net... | Python Code:
import matplotlib
%matplotlib inline
import matplotlib.pyplot as plt
import math
import numpy as np
import tensorflow as tf
import time
from datasets import dataset_utils
# Main slim library
slim = tf.contrib.slim
Explanation: TF-Slim Walkthrough
This notebook will walk you through the basics of using TF-S... |
6,402 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
In-Class Demonstration and Visualization
Step2: The function plot_taylor_approximations included here was written by Fernando Perez and was part of work on the original IPython project. Al... | Python Code:
%matplotlib inline
import numpy as np
import sympy as sp
import matplotlib.pyplot as plt
# You can change the default figure size to be a bit larger if you want,
# uncomment the next line for that:
plt.rc('figure', figsize=(10, 6))
Explanation: In-Class Demonstration and Visualization
End of explanation
de... |
6,403 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Find MEG reference channel artifacts
Use ICA decompositions of MEG reference channels to remove intermittent noise.
Many MEG systems have an array of reference channels which are used to det... | Python Code:
# Authors: Jeff Hanna <jeff.hanna@gmail.com>
#
# License: BSD-3-Clause
import mne
from mne import io
from mne.datasets import refmeg_noise
from mne.preprocessing import ICA
import numpy as np
print(__doc__)
data_path = refmeg_noise.data_path()
Explanation: Find MEG reference channel artifacts
Use ICA decom... |
6,404 | 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', 'mpi-m', 'icon-esm-lr', 'ocean')
Explanation: ES-DOC CMIP6 Model Properties - Ocean
MIP Era: CMIP6
Institute: MPI-M
Source ID: ICON-ESM-LR
Topic: Ocean
Sub-Topics: Timestepping Framewo... |
6,405 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Executed
Step1: Load Data
Multispot
Load the leakage coefficient from disk (computed in Multi-spot 5-Samples analyis - Leakage coefficient fit)
Step2: Load the direct excitation coefficien... | Python Code:
from fretbursts import fretmath
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
from cycler import cycler
import seaborn as sns
%matplotlib inline
%config InlineBackend.figure_format='retina' # for hi-dpi displays
import matplotlib as mpl
from cycler import ... |
6,406 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Triple Double Russ
In this post, we use webscraping to analyze Russell Westbrook's (Russ) team performance when he records a triple double. We will use multiple Python modules and focus on B... | Python Code:
from utils import *
import constants as c
Explanation: Triple Double Russ
In this post, we use webscraping to analyze Russell Westbrook's (Russ) team performance when he records a triple double. We will use multiple Python modules and focus on BeautifulSoup, pandas, matplotlib, and seaborn
Overview
Backg... |
6,407 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<a href='http
Step1: The Data
There are some fake data csv files you can read in as dataframes
Step2: Style Sheets
Matplotlib has style sheets you can use to make your plots look a little ... | Python Code:
import numpy as np
import pandas as pd
%matplotlib inline
Explanation: <a href='http://www.pieriandata.com'> <img src='../../Pierian_Data_Logo.png' /></a>
Pandas Built-in Data Visualization
In this lecture we will learn about pandas built-in capabilities for data visualization! It's built-off of matplotlib... |
6,408 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Cranfield dataset processing
This notebook creates vector space model for documents and queries contained in Cranfield collection.
Step1: Helper functions. get_top_n() simply returns indice... | Python Code:
from sklearn.metrics.pairwise import cosine_similarity, pairwise_distances
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
import matplotlib.pyplot as plt
import matplotlib.style
import numpy as np
matplotlib.style.use('ggplot')
%matplotlib inline
matplotlib.rcParams['figure.fi... |
6,409 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
GBM Geometry Demo
J. Michael Burgess
gbmeometry is a module with routines for handling GBM geometry. It performs a few tasks
Step1: Making an interpolation from TRIGDAT
Getting the data
We ... | Python Code:
%pylab inline
from astropy.coordinates import SkyCoord
import astropy.coordinates as coord
import astropy.units as u
from gbmgeometry import *
Explanation: GBM Geometry Demo
J. Michael Burgess
gbmeometry is a module with routines for handling GBM geometry. It performs a few tasks:
* creates and astropy coo... |
6,410 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Circuito RLC paralelo sem fonte
Jupyter Notebook desenvolvido por Gustavo S.S.
Circuitos RLC em paralelo têm diversas aplicações, como em projetos de filtros
e redes de comunicação. Suponha ... | Python Code:
print("Exemplo 8.5")
from sympy import *
m = 10**(-3) #definicao de mili
L = 1
C = 10*m
v0 = 5
i0 = 0
A1 = symbols('A1')
A2 = symbols('A2')
t = symbols('t')
def sqrt(x, root = 2): #definir funcao para raiz
y = x**(1/root)
return y
print("\n--------------\n")
## PARA R = 1.923
R = 1.923
print("Para ... |
6,411 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Today Melanie lead the meeting with a session on the ArcGIS software and how we can use Python to automatise the geospatial data processing. The slides are available below.
We started with a... | Python Code:
# embed pdf into an automatically resized window (requires imagemagick)
w_h_str = !identify -format "%w %h" ../pdfs/arcgis-intro.pdf[0]
HTML('<iframe src=../pdfs/arcgis-intro.pdf width={0[0]} height={0[1]}></iframe>'.format([int(i)*0.8 for i in w_h_str[0].split()]))
Explanation: Today Melanie lead the meet... |
6,412 | 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', 'mohc', 'sandbox-1', 'ocean')
Explanation: ES-DOC CMIP6 Model Properties - Ocean
MIP Era: CMIP6
Institute: MOHC
Source ID: SANDBOX-1
Topic: Ocean
Sub-Topics: Timestepping Framework, Ad... |
6,413 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Step1: Fully-Connected Neural Nets
In the previous homework you implemented a fully-connected two-layer neural network on CIFAR-10. The implementation was simple but not very modular since t... | Python Code:
# As usual, a bit of setup
import time
import numpy as np
import matplotlib.pyplot as plt
from cs231n.classifiers.fc_net import *
from cs231n.data_utils import get_CIFAR10_data
from cs231n.gradient_check import eval_numerical_gradient, eval_numerical_gradient_array
from cs231n.solver import Solver
%matplot... |
6,414 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
US EPA ChemView web services
The documentation lists several ways of accessing data in ChemView.
Step1: Getting 'chemicals' data from ChemView
As a start... this downloads data for all chem... | Python Code:
URIBASE = 'http://java.epa.gov/chemview/'
Explanation: US EPA ChemView web services
The documentation lists several ways of accessing data in ChemView.
End of explanation
uri = URIBASE + 'chemicals'
r = requests.get(uri, headers = {'Accept': 'application/json, */*'})
j = json.loads(r.text)
print(len(j))
df... |
6,415 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
3. Imagined movement
In this tutorial we will look at imagined movement. Our movement is controlled in the motor cortex where there is an increased level of mu activity (8–12 Hz) when we per... | Python Code:
%pylab inline
Explanation: 3. Imagined movement
In this tutorial we will look at imagined movement. Our movement is controlled in the motor cortex where there is an increased level of mu activity (8–12 Hz) when we perform movements. This is accompanied by a reduction of this mu activity in specific regions... |
6,416 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Chapter 6 Temporal-Difference Learning
DP, TD, and Monte Carlo methods all use some variation of generalized policy iteration
Step1: 6.2 Advantages of TD Prediction Methods
TD
Step2: 6.5 Q... | Python Code:
Image('./res/fig6_1.png')
Image('./res/TD_0.png')
Explanation: Chapter 6 Temporal-Difference Learning
DP, TD, and Monte Carlo methods all use some variation of generalized policy iteration: primarily differences in their approaches to the prediction problem.
6.1 TD Prediction
constant-$\alpha$ MC: $V(S_t) ... |
6,417 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Embedding
[embeddings.Embedding.0] input_dim 5, output_dim 3, input_length=7, mask_zero=False
Step1: [embeddings.Embedding.1] input_dim 20, output_dim 5, input_length=10, mask_zero=True
Ste... | Python Code:
input_dim = 5
output_dim = 3
input_length = 7
data_in_shape = (input_length,)
emb = Embedding(input_dim, output_dim, input_length=input_length, mask_zero=False)
layer_0 = Input(shape=data_in_shape)
layer_1 = emb(layer_0)
model = Model(inputs=layer_0, outputs=layer_1)
# set weights to random (use seed for r... |
6,418 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Access TTree in Python using PyROOT
<hr style="border-top-width
Step1: Open a file which is located on the web. No type is to be specified for "f".
Step2: Loop over the TTree called "event... | Python Code:
import ROOT
Explanation: Access TTree in Python using PyROOT
<hr style="border-top-width: 4px; border-top-color: #34609b;">
End of explanation
f = ROOT.TFile.Open("https://root.cern.ch/files/summer_student_tutorial_tracks.root")
Explanation: Open a file which is located on the web. No type is to be specifi... |
6,419 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Experiment 6
Step1: Data Loading
Step2: Plotting | Python Code:
# import the modules
import GPy
import csv
import numpy as np
import cPickle as pickle
import scipy.stats as stats
import sklearn.metrics as metrics
import GPy.plotting.Tango as Tango
from matplotlib import pyplot as plt
%matplotlib notebook
Explanation: Experiment 6: TRo Journal
In this experiment, the ge... |
6,420 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Linear time series analysis - AR/MA models
Lorenzo Biasi (3529646), Julius Vernie (3502879)
Task 1. AR(p) models.
1.1
Step1: We can see that simulating the data as an AR(1) model is not eff... | Python Code:
import numpy as np
import matplotlib.pyplot as plt
import scipy.io as sio
from sklearn import datasets, linear_model
%matplotlib inline
def set_data(p, x):
temp = x.flatten()
n = len(temp[p:])
x_T = temp[p:].reshape((n, 1))
X_p = np.ones((n, p + 1))
for i in range(1, p + 1):
X_p... |
6,421 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Permutation T-test on sensor data
One tests if the signal significantly deviates from 0
during a fixed time window of interest. Here computation
is performed on MNE sample dataset between 40... | Python Code:
# Authors: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
#
# License: BSD (3-clause)
import numpy as np
import mne
from mne import io
from mne.stats import permutation_t_test
from mne.datasets import sample
print(__doc__)
Explanation: Permutation T-test on sensor data
One tests if the signal... |
6,422 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Introduction
In group efforts, there is sometimes the impression that there are those who work, and those who talk. A naive question to ask is whether or not the people that tend to talk a l... | Python Code:
# Load the raw email and git data
url = "http://mail.python.org/pipermail/scipy-dev/"
arx = Archive(url,archive_dir="../archives")
mailInfo = arx.data
repo = repo_loader.get_repo("bigbang")
gitInfo = repo.commit_data;
Explanation: Introduction
In group efforts, there is sometimes the impression that there ... |
6,423 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Minimal Example to Produce a Synthetic Light Curve
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 yo... | Python Code:
!pip install -I "phoebe>=2.0,<2.1"
%matplotlib inline
Explanation: Minimal Example to Produce a Synthetic Light Curve
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 lat... |
6,424 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Executed
Step1: Notebook arguments
measurement_id (int)
Step2: Selecting a data file
Step3: Data load and Burst search
Load and process the data
Step4: Compute background and burst searc... | Python Code:
measurement_id = 0
windows = (60, 180)
# Cell inserted during automated execution.
windows = (30, 180)
measurement_id = 1
Explanation: Executed: Tue Mar 28 00:43:40 2017
Duration: 41 seconds.
End of explanation
import time
from pathlib import Path
import pandas as pd
from scipy.stats import linregress
from... |
6,425 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Symbolic Computation
Symbolic computation deals with symbols, representing them exactly, instead of numerical approximations (floating point).
We will start with the following borrowed tuto... | Python Code:
import math
math.sqrt(3)
math.sqrt(8)
Explanation: Symbolic Computation
Symbolic computation deals with symbols, representing them exactly, instead of numerical approximations (floating point).
We will start with the following borrowed tutorial to introduce the concepts of SymPy. Devito uses SymPy heavily... |
6,426 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Removing particles from the simulation
This tutorial shows the differnet ways to remove particles from a REBOUND simulation. Let us start by setting up a simple simulation with 10 bodies, an... | Python Code:
import rebound
import numpy as np
sim = rebound.Simulation()
sim.add(m=1., hash=0)
for i in range(1,10):
sim.add(a=i, hash=i)
sim.move_to_com()
print("Particle hashes:{0}".format([sim.particles[i].hash for i in range(sim.N)]))
Explanation: Removing particles from the simulation
This tutorial shows the ... |
6,427 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
IST256 Lesson 03
Conditionals
Zybook Ch3
P4E Ch3
Links
Participation
Step1: Python’s Relational Operators
<table style="font-size
Step2: A. 4
B. 5
C. 6
D. 7
Vote Now
Step3: A. 4
B. 5
C.... | Python Code:
if boolean-expression:
statements-when-true
else:
statemrnts-when-false
Explanation: IST256 Lesson 03
Conditionals
Zybook Ch3
P4E Ch3
Links
Participation: https://poll.ist256.com
Zoom Chat!!!
Agenda
Homework 02 Solution
Non-Linear Code Execution
Relational and Logical Operators
Different types of n... |
6,428 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<center>
<img src="http
Step1: 2.1 Simple compartment models
Example 1
Step2: 2.1.1.- Simple population models
Adding competition for resources
Step3: Logistic growth with harvesting
... | Python Code:
import numpy as np
import scipy.sparse.linalg as sp
import sympy as sym
from scipy.linalg import toeplitz
import ipywidgets as widgets
from ipywidgets import IntSlider
import matplotlib.pyplot as plt
%matplotlib inline
from matplotlib import cm
from matplotlib.ticker import LinearLocator, FormatStrFormatte... |
6,429 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Accessing Databases via Web APIs
In this lesson we'll learn what an API (Application Programming Interface) is, how it's normally used, and how we can collect data from it. We'll then look a... | Python Code:
import requests # to make the GET request
import json # to parse the JSON response to a Python dictionary
import time # to pause after each API call
import csv # to write our data to a CSV
import pandas # to see our CSV
Explanation: Accessing Databases via Web APIs
In this lesson we'll learn what an ... |
6,430 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
timeseries comparison
We can compare pairs of time series (e.g. rates) as long as the sampling times for the two series are (roughly) the same. Below we make two almost identical series A an... | Python Code:
time = np.arange(0,20,0.1)
A = [np.sin(x)**2 for x in time]
sns.tsplot(A,interpolate=False)
B = [np.sin(x)**2 + np.random.exponential(0.2) for x in time]
sns.tsplot(B,interpolate=False)
phi, p = scipy.stats.pearsonr(A,B)
print phi # correlation is between -1 and 1. -1 means that one series goes up when th... |
6,431 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Batch processing
Decide on a size limit for aiff files (882kb/10s file)
Generate that much files
Process those files and append results to DataFrame
Remove those files
Step1: Loading | Python Code:
import hurry.filesize
hurry.filesize.size(903168, system=hurry.filesize.alternative)
hurry.filesize.size(882102, system=hurry.filesize.si)
hurry.filesize.size(882000, system=hurry.filesize.si)
hurry.filesize.size(1073741824, system=hurry.filesize.alternative)
hurry.filesize.size(1073741824, system=hurry.fi... |
6,432 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
The project I am angling towards deals with my website's traffic and taxonomy data. I will be trying to build models that can accurately predict which tags are best for specific channels of ... | Python Code:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
Explanation: The project I am angling towards deals with my website's traffic and taxonomy data. I will be trying to build models that can accurately predict which tags are best for specific channels of traffic, and w... |
6,433 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
ES-DOC CMIP6 Model Properties - Atmos
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', 'mri', 'sandbox-2', 'atmos')
Explanation: ES-DOC CMIP6 Model Properties - Atmos
MIP Era: CMIP6
Institute: MRI
Source ID: SANDBOX-2
Topic: Atmos
Sub-Topics: Dynamical Core, Radiation, T... |
6,434 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Intro
Este es el primer taller de informática 3, que cubre conceptos básicos de Python, gráficos y ajustes, use este notebook para resolver el taller y, por favor use tantas celdas como nece... | Python Code:
# Ejecute esta celda para importar las librerías y funciones necesarias
%matplotlib notebook
from IPython.display import set_matplotlib_formats
set_matplotlib_formats('png', 'pdf')
import numpy as np
import matplotlib.pyplot as plt
from numpy import polyfit, polyval
from scipy.stats import linregress
from ... |
6,435 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
DAC-ADC Pmod Examples using Matplotlib and Widget
Contents
Pmod DAC-ADC Feedback
Tracking the IO Error
Error plot with Matplotlib
Widget controlled plot
Pmod DAC-ADC Feedback
This example sh... | Python Code:
from pynq.overlays.base import BaseOverlay
from pynq.lib import Pmod_ADC, Pmod_DAC
Explanation: DAC-ADC Pmod Examples using Matplotlib and Widget
Contents
Pmod DAC-ADC Feedback
Tracking the IO Error
Error plot with Matplotlib
Widget controlled plot
Pmod DAC-ADC Feedback
This example shows how to use the Pm... |
6,436 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<a href="https
Step1: Data
Step2: Model 1
Step3: Posterior predictive check
Step4: Model 2 (departmental-specific offset)
Step6: Poisson regression
We now show we can emulate binomial r... | Python Code:
!pip install -q numpyro@git+https://github.com/pyro-ppl/numpyro
!pip install -q arviz
import arviz as az
az.__version__
!pip install causalgraphicalmodels
#!pip install -U daft
import numpy as np
np.set_printoptions(precision=3)
import matplotlib.pyplot as plt
import math
import os
import warnings
import p... |
6,437 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Introduction
This IPython notebook illustrates how to perform blocking using Overlap blocker.
First, we need to import py_entitymatching package and other libraries as follows
Step1: Then, ... | Python Code:
# Import py_entitymatching package
import py_entitymatching as em
import os
import pandas as pd
Explanation: Introduction
This IPython notebook illustrates how to perform blocking using Overlap blocker.
First, we need to import py_entitymatching package and other libraries as follows:
End of explanation
# ... |
6,438 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
All the Linear Algebra You Need for AI
The purpose of this notebook is to serve as an explanation of two crucial linear algebra operations used when coding neural networks
Step1: PyTorch
Th... | Python Code:
%load_ext autoreload
%autoreload 2
from fastai.imports import *
from fastai.torch_imports import *
from fastai.io import *
Explanation: All the Linear Algebra You Need for AI
The purpose of this notebook is to serve as an explanation of two crucial linear algebra operations used when coding neural networks... |
6,439 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<h1><div align='left'> Open Source can improve current scientific practice</div></h1>
<h3>Ipython notebooks are a great tool to support this</h3>
Sophie Balemans and Stijn Van Hoey
EGU 2015 ... | Python Code:
# %load PDM_HPC.py
pars =pd.read_csv('data/example2_PDM_parameters.txt',header=0, sep=',', index_col=0)
measured = pd.read_csv('data/example_PDM_measured.txt', header=0, sep='\t', decimal='.', index_col=0)
modelled = pd.read_csv('data/example2_PDM_outputs.txt',header=0, sep=',', index_col=0).T
modeloutput1... |
6,440 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Outline
Glossary
5. Imaging
Previous
Step1: Import section specific modules
Step2: 5.1 Spatial Frequencies<a id='imaging
Step3: For simplicity convert the RGB-color images to grayscale
... | 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
5. Imaging
Previous: 5. Introduction
Next: 5.2 Sampling and Point Spread Functions
Import standard modules:
End of explana... |
6,441 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Plotting
One of the biggest advantages of the notebook format is that you can
mix code and plots.
In this example we'll draw some simple mathematical functions using matplotlib.
Setup
The fi... | Python Code:
%matplotlib inline
Explanation: Plotting
One of the biggest advantages of the notebook format is that you can
mix code and plots.
In this example we'll draw some simple mathematical functions using matplotlib.
Setup
The first thing you need to do is tell the kernel that you would like to use
matplotlib to ... |
6,442 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
The following dictionary contains hand-curated labeled domains.
Step1: The following scripts gathers generic email hosts from a list provided on a public Gist.
Step2: <hr> | Python Code:
domain_categories = {
"generic" : [
"gmail.com",
"hotmail.com",
"gmx.de",
"gmx.net",
"gmx.at",
"earthlink.net",
"comcast.net",
"yahoo.com",
"email.com"
],
"personal" : [
"mnot.net",
"henriknordstrom.net",
... |
6,443 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Prediction metrics
This module provides a set of metrics to evaluate the quality of predictions of a model. A typical function will take a set of "prediction" and "observation" values and us... | Python Code:
%load_ext sql
# %sql postgresql://gpdbchina@10.194.10.68:55000/madlib
%sql postgresql://fmcquillan@localhost:5432/madlib
%sql select madlib.version();
Explanation: Prediction metrics
This module provides a set of metrics to evaluate the quality of predictions of a model. A typical function will take a set ... |
6,444 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Exploratory Data Analysis with Python
We will explore the NYC MTA turnstile dataset. These data files are from the New York Subway. It tracks the hourly entries and exits to turnstiles by da... | Python Code:
!pip install wget
import os, wget
url_template = "http://web.mta.info/developers/data/nyct/turnstile/turnstile_%s.txt"
for date in ['160206', '160213', '160220', '160227', '160305']:
url = url_template % date
if os.path.isfile('data/turnstile_{}.txt'.format(date)):
print(date, 'file already... |
6,445 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Catherine Devlin
RDBMS were so last year...
last year
SQLAlchemy
~~object-relational mapper~~
RDBMS toolbox
ddlgenerator
Import data and define tables
Step1: ipython_sql
Access the data
Ste... | Python Code:
!head data/provinces.yaml
!ddlgenerator -i -t postgresql data/provinces.yaml | head -20
# !ddlgenerator -i -t postgresql http://github.com/catherinedevlin/pycon2015_sqla_lightning/data/provinces.yaml
!dropdb pycon
!createdb pycon
!ddlgenerator -i postgresql data/provinces.yaml | psql pycon | head -20
Expla... |
6,446 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Integration Exercise 2
Imports
Step1: Indefinite integrals
Here is a table of definite integrals. Many of these integrals has a number of parameters $a$, $b$, etc.
Find five of these integr... | Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
from scipy import integrate
Explanation: Integration Exercise 2
Imports
End of explanation
#I worked with James Amarel on this assignement
def integrand(x, a):
return 1.0/(x**2 + a**2)
def integral_approx(a):
... |
6,447 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Image similarity estimation using a Siamese Network with a contrastive loss
Author
Step1: Hyperparameters
Step2: Load the MNIST dataset
Step3: Define training and validation sets
Step5: ... | Python Code:
import random
import numpy as np
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
import matplotlib.pyplot as plt
Explanation: Image similarity estimation using a Siamese Network with a contrastive loss
Author: Mehdi<br>
Date created: 2021/05/06<br>
Last modified: 20... |
6,448 | Given the following text problem statement, write Python code to implement the functionality described below in problem statement
Problem:
Following-up from this question years ago, is there a "shift" function in numpy? Ideally it can be applied to 2-dimensional arrays, and the numbers of shift are different among rows... | Problem:
import numpy as np
a = np.array([[ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9.],
[1., 2., 3., 4., 5., 6., 7., 8., 9., 10.]])
shift = [-2, 3]
def solution(xs, shift):
e = np.empty_like(xs)
for i, n in enumerate(shift):
if n >= 0:
e[i,:n] = np.nan
e[i,n:] = x... |
6,449 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Summary
One of the main applications of OpenPNM is simulating transport phenomena such as Fickian diffusion, advection diffusion, reactive transport, etc. In this example, we will learn how ... | Python Code:
import openpnm as op
net = op.network.Cubic(shape=[1, 10, 10], spacing=1e-5)
Explanation: Summary
One of the main applications of OpenPNM is simulating transport phenomena such as Fickian diffusion, advection diffusion, reactive transport, etc. In this example, we will learn how to perform Fickian diffusio... |
6,450 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
06 - Model Deployment
The purpose of this notebook is to execute a CI/CD routine to test and deploy the trained model to Vertex AI as an Endpoint for online prediction serving. The notebook ... | Python Code:
import os
import logging
logging.getLogger().setLevel(logging.INFO)
Explanation: 06 - Model Deployment
The purpose of this notebook is to execute a CI/CD routine to test and deploy the trained model to Vertex AI as an Endpoint for online prediction serving. The notebook covers the following steps:
1. Run t... |
6,451 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Integer and floats
You can make the following operations with integer and floats (i.e. real mumbers)
| Operation | Result |
| --------- | --------------- |
| + | Sum ... | Python Code:
4+2
10-42
4 * 4
10/3
10//3
10**3
Explanation: Integer and floats
You can make the following operations with integer and floats (i.e. real mumbers)
| Operation | Result |
| --------- | --------------- |
| + | Sum |
| - | Substraction |
| * | Multiplication ... |
6,452 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Tools for Game Theory in QuantEcon.py
Daisuke Oyama
Faculty of Economics, University of Tokyo
This notebook demonstrates the functionalities of the game_theory module
in QuantEcon.py.
Step1:... | Python Code:
import numpy as np
import quantecon.game_theory as gt
Explanation: Tools for Game Theory in QuantEcon.py
Daisuke Oyama
Faculty of Economics, University of Tokyo
This notebook demonstrates the functionalities of the game_theory module
in QuantEcon.py.
End of explanation
matching_pennies_bimatrix = [[(1, -1)... |
6,453 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Eclipse Detection
Setup
Let's first make sure we have the latest version of PHOEBE 2.3 installed (uncomment this line if running in an online notebook session such as colab).
Step1: As alwa... | Python Code:
#!pip install -I "phoebe>=2.3,<2.4"
Explanation: Eclipse Detection
Setup
Let's first make sure we have the latest version of PHOEBE 2.3 installed (uncomment this line if running in an online notebook session such as colab).
End of explanation
import phoebe
from phoebe import u # units
import numpy as np
im... |
6,454 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Sveučilište u Zagrebu<br>
Fakultet elektrotehnike i računarstva
Strojno učenje
<a href="http
Step1: Sadržaj
Step2: Q
Step3: Q
Step4: Polunaivan klasifikator*
Ideja
Ako, na primjer, ne vr... | Python Code:
import scipy as sp
import scipy.stats as stats
import matplotlib.pyplot as plt
import pandas as pd
%pylab inline
Explanation: Sveučilište u Zagrebu<br>
Fakultet elektrotehnike i računarstva
Strojno učenje
<a href="http://www.fer.unizg.hr/predmet/su">http://www.fer.unizg.hr/predmet/su</a>
Ak. god. 2015./201... |
6,455 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Deploy a BigQuery ML user churn propensity model to Vertex AI for online predictions
Learning objectives
Explore and preprocess a Google Analytics 4 data sample in BigQuery for machine learn... | Python Code:
# Retrieve and set PROJECT_ID and REGION environment variables.
PROJECT_ID = !(gcloud config get-value core/project)
PROJECT_ID = PROJECT_ID[0]
BQ_LOCATION = 'US'
REGION = 'us-central1'
Explanation: Deploy a BigQuery ML user churn propensity model to Vertex AI for online predictions
Learning objectives
Exp... |
6,456 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Step1: Lecture 11
Step2: To define a new class, you need a class keyword, followed by the name (in this case, Car). The parentheses are important, but for now we'll leave them empty. Like l... | Python Code:
class Car():
A simple representation of a car.
pass
Explanation: Lecture 11: Objects and Classes
CSCI 1360: Foundations for Informatics and Analytics
Overview and Objectives
In this lecture, we'll delve into the realm of "object-oriented programming," or OOP. This is a programming paradigm in whi... |
6,457 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
define PID weights
PID controller minimizes error by adjusting a control variable (eg power supplied) to a new value determined by a weighted sum of present (P), past (I), and future (D) err... | Python Code:
P = 1.2 # weight current errors more
I = 1
D = 0.0 # ignore future potential errors
L = 50 # number of iterations
pid = PID.PID(P, I, D)
pid.SetPoint=0.0
pid.setSampleTime(0.01)
END = L
feedback = 0
feedback_list = []
time_list = []
setpoint_list = []
for i in range(1, END):
pid.update(feedback)
o... |
6,458 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Step5: Table of Contents
<p><div class="lev1 toc-item"><a href="#Benchmark-of-the-SHA256-hash-function,-with-Python,-Cython-and-Numba" data-toc-modified-id="Benchmark-of-the-SHA256-hash-func... | Python Code:
class Hash(object):
Common class for all hash methods.
It copies the one of the hashlib module (https://docs.python.org/3.5/library/hashlib.html).
def __init__(self, *args, **kwargs):
Create the Hash object.
self.name = self.__class__.__name__ # https://docs.py... |
6,459 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Optimal Control Problem
Minimize $$\int_0^Tf(t,x,u)~dt$$ subject to
$$
\begin{cases}
x'(t) = b(t,x,u)\
x(0) = x_0
\end{cases}
$$
Step1: Hamilton-Jacobi-Bellman Equation
Step2: Successive A... | Python Code:
t, x, u= symbols('t x u')
Vt, Vx = symbols('V_t V_x')
f = x + 0.5 * u**2
b = x + u
Explanation: Optimal Control Problem
Minimize $$\int_0^Tf(t,x,u)~dt$$ subject to
$$
\begin{cases}
x'(t) = b(t,x,u)\
x(0) = x_0
\end{cases}
$$
End of explanation
hjbeq = r'\frac{\partial V}{\partial t} + \min_u \left[' + late... |
6,460 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Python Basics
Syntax
Python is an object oriented scripting language and does not require a specific first or last line (such as <code>public static void main</code> in Java or <code>return<... | Python Code:
# This is a comment
if (3 < 2):
print "True" # Another Comment. This print syntax only works in Python 2, not 3
else:
print "False"
Explanation: Python Basics
Syntax
Python is an object oriented scripting language and does not require a specific first or last line (such as <code>public static ... |
6,461 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Copyright 2018 The TensorFlow Authors.
Step1: はじめてのニューラルネットワーク：分類問題の初歩
<table class="tfo-notebook-buttons" align="left">
<td>
<a target="_blank" href="https
Step2: ファッションMNISTデータセットの... | 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... |
6,462 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Some code playing with the Echonest API python wrapper
Pythondocs
Github
API Overview
Things you can do with the API
Remix part of the API
More examples with Remix
Code for examples
Resour... | Python Code:
from pyechonest import config, artist, song
import pandas as pd
config.ECHO_NEST_API_KEY = 'XXXXXXXX' #retrieved from https://developer.echonest.com/account/profile
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline
Explanation: Some code playing with the Echonest A... |
6,463 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Multi order stencil for the 2D/3D acoustic isotropic wave equation
Step1: Forward and adjoint stencil
2D-3D is automatic from the setup | Python Code:
# Choose dimension (2 or 3)
dim = 2
# Choose order
time_order = 6
space_order = 12
# half width for indexes, goes from -half to half
width_t = int(time_order/2)
width_h = int(space_order/2)
# Define functions and symbols
p=Function('p')
s,h = symbols('s h')
if dim==2:
m=M(x,z)
q=Q(x,z,t)
d=D(x,... |
6,464 | 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', 'mpi-m', 'sandbox-1', 'aerosol')
Explanation: ES-DOC CMIP6 Model Properties - Aerosol
MIP Era: CMIP6
Institute: MPI-M
Source ID: SANDBOX-1
Topic: Aerosol
Sub-Topics: Transport, Emissio... |
6,465 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<img alt="Colaboratory logo" height="45px" src="https
Step1: Hidden cells
Some cells contain code that is necessary but not interesting for the exercise at hand. These cells will typically ... | Python Code:
import math
import tensorflow as tf
from matplotlib import pyplot as plt
print("Tensorflow version " + tf.__version__)
a=1
b=2
a+b
Explanation: <img alt="Colaboratory logo" height="45px" src="https://colab.research.google.com/img/colab_favicon.ico" align="left" hspace="10px" vspace="0px">
<h1>Welcome to Co... |
6,466 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Sequence-to-Sequence Learning
Many kinds of problems need us to predict a output sequence given an input sequence. This is called a sequence-to-sequence problem.
One such sequence-to-sequenc... | Python Code:
import numpy as np
from keras.models import Model
from keras.layers.recurrent import LSTM
from keras.layers.embeddings import Embedding
from keras.layers.wrappers import TimeDistributed
from keras.preprocessing.sequence import pad_sequences
from keras.preprocessing.text import Tokenizer
from keras.layers i... |
6,467 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Testing the nscore transformation table
Step1: Getting the data ready for work
If the data is in GSLIB format you can use the function pygslib.gslib.read_gslib_file(filename) to import the ... | Python Code:
#general imports
import matplotlib.pyplot as plt
import pygslib
from matplotlib.patches import Ellipse
import numpy as np
import pandas as pd
#make the plots inline
%matplotlib inline
Explanation: Testing the nscore transformation table
End of explanation
#get the data in gslib format into a panda... |
6,468 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Anna KaRNNa
In this notebook, I'll build a character-wise RNN trained on Anna Karenina, one of my all-time favorite books. It'll be able to generate new text based on the text from the book.... | Python Code:
import time
from collections import namedtuple
import numpy as np
import tensorflow as tf
Explanation: Anna KaRNNa
In this notebook, I'll build a character-wise RNN trained on Anna Karenina, one of my all-time favorite books. It'll be able to generate new text based on the text from the book.
This network ... |
6,469 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Programming Bootcamp 2016
Lesson 7 Exercises - ANSWERS
1. Creating your function file (1pt)
Up until now, we've created all of our functions inside the Jupyter notebook. However, in order to... | Python Code:
import imp
my_utils = imp.load_source('my_utils', '../utilities/my_utils.py') #CHANGE THIS PATH
# test that this worked
print "Test my_utils.gc():", my_utils.gc("ATGGGCCCAATGG")
print "Test my_utils.reverse_compl():", my_utils.reverse_compl("GGGGTCGATGCAAATTCAAA")
print "Test my_utils.read_fasta():", my_ut... |
6,470 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Neural Network demo (not tested yet)
Start a Mosquitto container first. For example
Step1: Start client
Step2: Utility functions
Step3: List connected nodes
Step4: Rename nodes
Step5: S... | Python Code:
import os
import sys
import time
sys.path.append(os.path.abspath(os.path.join(os.path.pardir, '..\\codes', 'client')))
sys.path.append(os.path.abspath(os.path.join(os.path.pardir, '..\\codes', 'node')))
sys.path.append(os.path.abspath(os.path.join(os.path.pardir, '..\\codes', 'shared')))
sys.path.append(... |
6,471 | 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 toc-item"><a href="#Test-for-Binder-v2" data-toc-modified-id="Test-for-Binder-v2-1"><span class="toc-item-num">1 </span>Test for Binder v2</a... | Python Code:
import sys
print("Path (sys.path):")
for f in sys.path:
print(f)
import os
print("Current directory:")
print(os.getcwd())
Explanation: Table of Contents
<p><div class="lev1 toc-item"><a href="#Test-for-Binder-v2" data-toc-modified-id="Test-for-Binder-v2-1"><span class="toc-item-num">1 </span... |
6,472 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Check unuploaded files
Three possible checks
Step2: 1. Load data
Step4: 2. Extract emptiness statistic from Import records
Step5: 3. Load files
Step6: 4. Get results
Processed files that... | Python Code:
form = None
target = None
output_dir = None
# event = None
if target is not None:
assert target in ["no_matching_records", "matching_records_blank", "orphaned_records"]
import pandas as pd
import os
import redcap as rc
import numpy as np
import os
import sys
sys.path.append('/sibis-software/python-pack... |
6,473 | 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', 'nasa-giss', 'sandbox-1', 'ocnbgchem')
Explanation: ES-DOC CMIP6 Model Properties - Ocnbgchem
MIP Era: CMIP6
Institute: NASA-GISS
Source ID: SANDBOX-1
Topic: Ocnbgchem
Sub-Topics: Trac... |
6,474 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
DICCIONARIOS
En Python, un diccionario es una colección no ordenada de pares clave - valor donde la clave y el valor son objetos Python.
El acceso a los elementos de un diccionario se realiz... | Python Code:
# Definición de un diccionario vacío, los diccionarios se engloban mediante llaves {}
dic = { }
# Nos devuelve que el diccionario 'dic' está vacío
bool(dic)
# En los diccionarios siempre debe definirse una clave y un valor
# Sintáxis: dic = {clave: 'valor', clave: 'valor', clave: 'valor'}
dic = {1:'Lunes'... |
6,475 |
Given the following text problem statement, write Python code to implement the functionality described below in problem statement
Problem:
view as many images as possible
| Python Code::
figure = plt.figure()
num_of_images = 60
for index in range(1, num_of_images + 1):
plt.subplot(6, 10, index)
plt.axis('off')
plt.imshow(images[index].numpy().squeeze(), cmap='gray_r')
|
6,476 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Overview
Installation instructions for Anaconda and Python for .NET
Examples presented here are based on Python 3.5
Examples are shown in jupyter notebook application. You can use the same c... | Python Code:
# Import the packages/libraries you typically use
import clr
import System
import numpy as np
import matplotlib.pyplot as plt
#This forces plots inline in the Spyder/Python Command Console
%matplotlib inline
#In the line below, make sure the path matches your installation!
LTCOM64Path="C:\\Program Files\\... |
6,477 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Add
In this tutorial, we will construct a n-bit adder from n full adders.
Magma has built in support for addition using the + operator,
so please don't think Magma is so low-level that you ... | Python Code:
import magma as m
m.set_mantle_target("ice40")
Explanation: Add
In this tutorial, we will construct a n-bit adder from n full adders.
Magma has built in support for addition using the + operator,
so please don't think Magma is so low-level that you need to create
logical and arithmetic functions in order ... |
6,478 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
محاولة لإستكشاف افضل الطرق لتحسين اداء نموذج بيما
Step1: هذه الدالة تعطينا توصيف كامل للبيانات و تكشف لنا في ما إذا كانت هناك قيم مفقودة
Step2: سيبورن مكتبة جميلة للرسوميات سهلة في الكتابة... | Python Code:
import numpy as np
import pandas as pd
import seaborn as sb
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScale... |
6,479 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<h1>Table of Contents<span class="tocSkip"></span></h1>
<div class="toc"><ul class="toc-item"><li><span><a href="#Load-Network" data-toc-modified-id="Load-Network-1"><span class="toc-item-nu... | Python Code:
is_stylegan_v1 = False
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
import sys
import os
from datetime import datetime
from tqdm import tqdm
# ffmpeg installation location, for creating videos
plt.rcParams['animation.ffmpeg_path'] = str('/usr/bin/ffmpeg')
import ipywidgets as... |
6,480 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Quickstart
In this simple example we will generate some simulated data, and fit them with 3ML.
Let's start by generating our dataset
Step1: We can now fit it easily with 3ML
Step2: Plot da... | Python Code:
from threeML import *
# Let's generate some data with y = Powerlaw(x)
gen_function = Powerlaw()
# Generate a dataset using the power law, and a
# constant 30% error
x = np.logspace(0, 2, 50)
xyl_generator = XYLike.from_function("sim_data", function = gen_function,
x = ... |
6,481 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Executed
Step1: Load software and filenames definitions
Step2: Data folder
Step3: List of data files
Step4: Data load
Initial loading of the data
Step5: Laser alternation selection
At t... | Python Code:
ph_sel_name = "None"
data_id = "27d"
# data_id = "7d"
Explanation: Executed: Mon Mar 27 11:36:54 2017
Duration: 8 seconds.
usALEX-5samples - Template
This notebook is executed through 8-spots paper analysis.
For a direct execution, uncomment the cell below.
End of explanation
from fretbursts import *
init_... |
6,482 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Copyright 2019 Google LLC.
Licensed under the Apache License, Version 2.0 (the "License");
Step1: Black Scholes
Step2: Black Scholes pricing and implied volatility usage
Here we see how to... | Python Code:
#@title Licensed under the Apache License, Version 2.0 (the "License"); { display-mode: "form" }
# 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... |
6,483 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Virus and drug interactions in the human body
NOTE
Step1: Use pandas.read_csv() to Load the Data
The data file we'll use is in a file format called CSV, which stands for comma-separated val... | Python Code:
# some code to set up the problem.
# Make plots inline
%matplotlib inline
# Make inline plots vector graphics instead of raster graphics
from IPython.display import set_matplotlib_formats
set_matplotlib_formats('pdf', 'svg')
# import modules for plotting and data analysis
import matplotlib.pyplot as plt
im... |
6,484 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Writing idiomatic python code
the Zen of Python
Step1: PEP8
Let's have a look
Step5: Thuthiness is defined by __bool__() method
Step6: What's the pythonic way?
Step7: Don't be this guy
S... | Python Code:
import this
Explanation: Writing idiomatic python code
the Zen of Python
End of explanation
if []:
print('this is false')
False # false is false
[] # empty lists
{} # empty dictionaries or sets
"" # empty strings
0 # zero integers
0.00000 # zero floats
None # Non... |
6,485 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Required
Step2: TODO
by Ruxi
Feb 8, 2016
Tasks
install jekyll
create js folder
make webapps.html
Version control
Saving | Python Code:
import os.path, gitpath #pip install git+'https://github.com/ruxi/python-gitpath.git'
os.chdir(gitpath.root()) # changes path to .git root
#os.getcwd() #check current work directory
Explanation: Required:
End of explanation
py_commit_msg =
templating py_commit_msg
%%bash -s "$py_commit_msg"
echo $1
git ad... |
6,486 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Evaluating Survival Models
The most frequently used evaluation metric of survival models is the concordance index (c index, c statistic). It is a measure of rank correlation between predicte... | Python Code:
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
import pandas as pd
from sklearn.impute import SimpleImputer
from sklearn.model_selection import train_test_split
from sklearn.pipeline import make_pipeline
from sksurv.datasets import load_flchain, load_gbsg2
from sksurv.functions impor... |
6,487 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
For high dpi displays.
Step1: 0. General note
This notebook shows the magnitude of different non-static pressure terms in the EOS of platinum by Dorogokupets and Dewaele (2007, HPR).
1. Gen... | Python Code:
%config InlineBackend.figure_format = 'retina'
Explanation: For high dpi displays.
End of explanation
import uncertainties as uct
import numpy as np
import matplotlib.pyplot as plt
from uncertainties import unumpy as unp
import pytheos as eos
v0 = 3.9231**3
v = np.linspace(v0, v0 * 0.8, 20)
Explanation: 0.... |
6,488 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Example 3 - stripy interpolation on the sphere
SSRFPACK is a Fortran 77 software package that constructs a smooth interpolatory or approximating surface to data values associated with arbitr... | Python Code:
import stripy as stripy
cmesh = stripy.spherical_meshes.triangulated_cube_mesh(refinement_levels=3)
fmesh = stripy.spherical_meshes.icosahedral_mesh(refinement_levels=3, include_face_points=True)
print(cmesh.npoints)
print(fmesh.npoints)
help(cmesh.interpolate)
%matplotlib inline
import gdal
import cartopy... |
6,489 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
GitHub API v3 - Uso de labels
Para los siguientes ejercicios usaremos el repositorio del curso Programación Avanzada de la Pontificia Universidad Católica de Chile para el segundo semestre d... | Python Code:
# Primero tenemos que importar las librerias que usaremos para recopilar datos
import base64
import json
import requests
# Si queremos imprimir los json de respuesta
# de una forma mas agradable a la vista podemos usar
def print_pretty(jsonstring, indent=4, sort_keys=False):
print(json.dumps(jsonstrin... |
6,490 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Estimate covariance matrix from Epochs baseline
We first define a set of Epochs from events and a raw file.
Then we estimate the noise covariance of prestimulus data,
a.k.a. baseline.
Step1:... | Python Code:
# Author: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
#
# License: BSD (3-clause)
import mne
from mne import io
from mne.datasets import sample
print(__doc__)
data_path = sample.data_path()
fname = data_path + '/MEG/sample/sample_audvis_raw.fif'
event_fname = data_path + '/MEG/sample/sampl... |
6,491 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<h1>Содержание<span class="tocSkip"></span></h1>
<div class="toc"><ul class="toc-item"><li><span><a href="#Базовые-операции" data-toc-modified-id="Базовые-операции-1">Базовые операции</a></s... | Python Code:
a = [1, 2, "Hi"] # Создать список и присвоить переменной `а` этот список
print(a[0], a[1], a[2]) # Обращение к элементам списка, индексация с нуля
b = list() # Создать пустой список
c = [] # Другой способ создать пустой список
Explanation: <h1>Содержание<span class=... |
6,492 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<a href='http
Step1: SMA
Simple Moving Average
We've already shown how to create a simple moving average, for a quick review
Step2: EWMA
Exponentially-weighted moving average
We just showe... | Python Code:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
airline = pd.read_csv('airline_passengers.csv',
index_col = "Month")
airline.dropna(inplace = True)
airline.index = pd.to_datetime(airline.index)
airline.head()
Explanation: <a href='http://www.p... |
6,493 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
syncID
Step1: Navigating the Response
Unlike most API call responses, the taxonomy JSON at the uppermost level has more elements that just 'data'. The other elements include
Step2: Within ... | Python Code:
import requests
import json
#Choose values for each option
SERVER = 'http://data.neonscience.org/api/v0/'
FAMILY = 'Pinaceae'
OFFSET = 11
LIMIT = 20
VERBOSE = 'false'
#Create 'options' portion of API call
OPTIONS = '?family={family}&offset={offset}&limit={limit}&verbose={verbose}'.format(
family = FAMI... |
6,494 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Handwritten Digit Recognition using a Convolutional Neural Network
This tutorial shows you how to design a deep convolutional neural network for a classic computer vision application
Step1: ... | Python Code:
import numpy as np
import timeit
import aurora as au # import Aurora
import aurora.autodiff as ad # importing Aurora's automatic differentiation framework
import matplotlib.pyplot as plt
import seaborn as sbn
sbn.set()
BATCH_SIZE = 64
LR = 1e-4
USE_GPU = False
NUM_ITERS = 20
# utility functions
def displ... |
6,495 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Assignnement 2
Step1: Problem 1
Step2: Problem 1(b)
Calculate the median salary for each player and create a pandas DataFrame called medianSalaries with four columns
Step3: Problem 1(c)
N... | Python Code:
# prepare the notebook for matplotlib
%matplotlib inline
import requests
import StringIO
import zipfile
import numpy as np
import pandas as pd # pandas
import matplotlib.pyplot as plt # module for plotting
# If this module is not already installed, you may need to install it.
# You can do this by typin... |
6,496 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
20141230_2DPlotsonPythonP2.ipynb
Two-dimensional plots on Python [Part II]
Support material for the blog post "Two-dimensional plots on Python [Part II]", on Programming Science.
Author
Step... | Python Code:
from pylab import *
t = arange(0.0, 2.0,0.01)
y = sin(2*pi*t)
plot(t, y)
xlabel('Time (s)')
ylabel('Voltage (mV)')
title('The simplest one, buddies')
grid(True)
show()
Explanation: 20141230_2DPlotsonPythonP2.ipynb
Two-dimensional plots on Python [Part II]
Support material for the blog post "Two-dimen... |
6,497 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<h1 align="center">First of all -- Checking Questions</h1>
Вопрос 1
Step1: Mah Neural Network
Step2: Training
You first have to implement a batch generator
Than the network will get traine... | Python Code:
%%time
# Read Dataset
import numpy as np
import pickle
img_codes = np.load("data/image_codes.npy")
captions = pickle.load(open('data/caption_tokens.pcl', 'rb'))
print "each image code is a 1000-unit vector:", img_codes.shape
print img_codes[0,:10]
print '\n\n'
print "for each image there are 5-7 descriptio... |
6,498 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Extinction
Step1: As always, let's do imports and initialize a logger and a new bundle. See Building a System for more details.
Step2: Adopt system parameters from Rebassa-Mansergas+ 2019... | Python Code:
!pip install -I "phoebe>=2.2,<2.3"
Explanation: Extinction: White Dwarf - Subdwarf Binary
In this example, we'll reproduce Figure 4 in the extinction release paper (Jones et al. 2020).
"SDSS J2355 is a short-period post-CE binary comprising a relatively cool white dwarf (Teff∼13,250 K) and a low-mass, meta... |
6,499 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
함수 정의하기 및 실행하기
함수 정의하기
Step2: 함수정의의 문서화
프로그래밍 코드를 저장한 파일에는 코드 이외에 코드와 관련된 주석을 적절하게 포함하고 있어야 한다. 이를 "문서화"라 한다.
문서화는 코드 이상으로 중요하다. 문서화가 제대로 되어있지 않은 프로그램 코드 파일은 코드 개발 및 관리를 매우 어렵게 만든다.
문서화의 ... | Python Code:
def mysum(a, b):
return a + b
Explanation: 함수 정의하기 및 실행하기
함수 정의하기: def 키워드를 이용
함수를 정의하려면 def 키워드를 이용한다.
def 함수이름(인자, ...): 형태로 정의한다.
콜론(:)을 항상 사용해야 함에 주의할 것.
함수의 본체(body)는 들여쓰기를 해야한다.
들여쓰기는 선택이 아닌 의무사항이다.
End of explanation
def mysum(a, b):
내가 정의한 덧셈이다.
인자 a와 b에 각각 두 숫자를 입력받아 합을 되돌려준다.
... |
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