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3,700 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
OT for domain adaptation on empirical distributions
This example introduces a domain adaptation in a 2D setting. It explicits
the problem of domain adaptation and introduces some optimal tra... | Python Code:
# Authors: Remi Flamary <remi.flamary@unice.fr>
# Stanislas Chambon <stan.chambon@gmail.com>
#
# License: MIT License
import matplotlib.pylab as pl
import ot
import ot.plot
Explanation: OT for domain adaptation on empirical distributions
This example introduces a domain adaptation in a 2D setting.... |
3,701 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Exact solution used in MES runs
We would like to MES the operation
\begin{eqnarray}
\frac{\int_0^{2\pi} f \rho d\theta}{\int_0^{2\pi} \rho d\theta}
= \frac{\int_0^{2\pi} f d\theta}{\int_0^{2... | Python Code:
%matplotlib notebook
from sympy import init_printing
from sympy import S
from sympy import sin, cos, tanh, exp, pi, sqrt
from sympy import integrate
import numpy as np
from boutdata.mms import x, y, z, t
import os, sys
# If we add to sys.path, then it must be an absolute path
common_dir = os.path.abspath('... |
3,702 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Triplet Loss for Implicit Feedback Neural Recommender Systems
The goal of this notebook is first to demonstrate how it is possible to build a bi-linear recommender system only using positive... | Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import os.path as op
from zipfile import ZipFile
try:
from urllib.request import urlretrieve
except ImportError: # Python 2 compat
from urllib import urlretrieve
ML_100K_URL = "http://files.grouplens.org/data... |
3,703 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Using the frame context in the TIMIT MLP model
This notebook is an extension of the MLP_TIMIT demo which takes a context of many frames at input to model the same output. So if we have a pho... | Python Code:
import os
os.environ['CUDA_VISIBLE_DEVICES']='1'
import numpy as np
from keras.models import Sequential
from keras.layers.core import Dense, Activation, Reshape
from keras.optimizers import Adam, SGD
from IPython.display import clear_output
from tqdm import *
Explanation: Using the frame context in the TIM... |
3,704 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Whitening evoked data with a noise covariance
Evoked data are loaded and then whitened using a given noise covariance
matrix. It's an excellent quality check to see if baseline signals match... | Python Code:
# Authors: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# Denis A. Engemann <denis.engemann@gmail.com>
#
# License: BSD (3-clause)
import mne
from mne import io
from mne.datasets import sample
from mne.cov import compute_covariance
print(__doc__)
Explanation: Whitening evoked data ... |
3,705 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
파이썬 기본 자료형 2부
수정 사항
문자열 메소드 사용 예제
Step1: 실제로 확인하면 웹사이트의 내용 전체가 하나의 문자열로 저장되어 있다.
주의
Step2: 소스코드에서 줄바꾸기, 띄어쓰기, 인용부호 등 특수 기호를 적절하게 해석하여 출력하고자 하면 print 명령어를 사용한다.
Step3: 문자열 자료형
Step4: 유니코드... | Python Code:
import urllib.request
page = urllib.request.urlopen("http://beans-r-us.appspot.com/prices.html")
text = page.read().decode("utf8")
Explanation: 파이썬 기본 자료형 2부
수정 사항
문자열 메소드 사용 예제: 보다 실용적인 예제였으면 함.
요약
문자열 자료형 다루기
문자열 메소드 활용
응용: 웹 상에 있는 데이터를 가져와서 정보 활용하기
준비 사항
문자열의 정의화 기초적인 활용법에 대한 자세한 설명은
여기를
참조한다.
... |
3,706 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Copyright 2020 The TensorFlow Authors.
Step1: フェデレーテッドラーニングリサーチの TFF
Step2: TFF が動作していることを確認します。
Step4: 入力データを準備する
このセクションでは、TFF に含まれる EMNIST データセットを読み込んで事前処理します。EMNIST データセットの詳細は、画像分類のフェ... | 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... |
3,707 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<a href="https
Step1: Plot dynamics functions
Step2: Sample data from the ARHMM
Step3: Below, we visualize each component of of the observation variable as a time series. The colors corre... | Python Code:
!pip install git+git://github.com/lindermanlab/ssm-jax-refactor.git
import ssm
import copy
import jax.numpy as np
import jax.random as jr
from tensorflow_probability.substrates import jax as tfp
from ssm.distributions.linreg import GaussianLinearRegression
from ssm.arhmm import GaussianARHMM
from ssm.util... |
3,708 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Pipelining estimators
In this section we study how different estimators maybe be chained.
A simple example
Step1: Previously, we applied the feature extraction manually, like so
Step2: The... | Python Code:
import os
with open(os.path.join("datasets", "smsspam", "SMSSpamCollection")) as f:
lines = [line.strip().split("\t") for line in f.readlines()]
text = [x[1] for x in lines]
y = [x[0] == "ham" for x in lines]
from sklearn.cross_validation import train_test_split
text_train, text_test, y_train, y_test =... |
3,709 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Tutorial 2
Step1: These variables do not change anything in the simulation engine, but
are just standard Python variables. They are used to increase the
readability and flexibility of the s... | Python Code:
from espressomd import System, electrostatics
import espressomd
import numpy
import matplotlib.pyplot as plt
plt.ion()
# Print enabled features
required_features = ["EXTERNAL_FORCES", "MASS", "ELECTROSTATICS", "LENNARD_JONES"]
espressomd.assert_features(required_features)
print(espressomd.features())
# Sys... |
3,710 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Combine all blast hits into a single dataframe
Step1: Extract the best hits for each cluster from each DB (q_cov > 80 and e_value < 1e-3 ) | Python Code:
all_blast_hits = blast_hits[0]
for search_hits in blast_hits[1:]:
all_blast_hits = all_blast_hits.append(search_hits)
all_blast_hits.head()
all_blast_hits.db.unique()
Explanation: Combine all blast hits into a single dataframe
End of explanation
#all_blast_hits[all_blast_hits.e_value < 0.001].groupby([... |
3,711 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Downloading genome data from NCBI with Biopython and Entrez
Introduction
In this worksheet, you will use Biopython to download pathogen genome data from NCBI programmatically with Python.
I... | Python Code:
# This line imports the Bio.Entrez module, and makes it available
# as 'Entrez'.
from Bio import Entrez
# The line below imports the Bio.SeqIO module, which allows reading
# and writing of common bioinformatics sequence formats.
from Bio import SeqIO
# Create a new directory (if needed) for output/download... |
3,712 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Copyright 2019 The TensorFlow Authors.
Step1: 케라스와 텐서플로 허브를 사용한 영화 리뷰 텍스트 분류하기
<table class="tfo-notebook-buttons" align="left">
<td> <a target="_blank" href="https
Step2: IMDB 데이터셋 ... | 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... |
3,713 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Orthogonality in Potapov modes
The modes of a system will not always be orthogonal because some of the signal leaks out of the system. Let's use the Potapov analysis for a specific example t... | Python Code:
import Potapov_Code.Roots as Roots
import Potapov_Code.Potapov as Potapov
import Potapov_Code.Time_Delay_Network as Time_Delay_Network
import Potapov_Code.Time_Sims as Time_Sims
import Potapov_Code.functions as functions
import Potapov_Code.tests as tests
import numpy as np
import numpy.linalg as la
impor... |
3,714 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Finite-Length Capacity of the Binary-Input AWGN (BI-AWGN) Channel
This code is provided as supplementary material of the lecture Channel Coding 2 - Advanced Methods.
This code illustrates
* ... | Python Code:
import numpy as np
import scipy.integrate as integrate
from scipy.stats import norm
import matplotlib.pyplot as plt
Explanation: Finite-Length Capacity of the Binary-Input AWGN (BI-AWGN) Channel
This code is provided as supplementary material of the lecture Channel Coding 2 - Advanced Methods.
This code il... |
3,715 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Your first neural network
In this project, you'll build your first neural network and use it to predict daily bike rental ridership. We've provided some of the code, but left the implementat... | Python Code:
%matplotlib inline
%config InlineBackend.figure_format = 'retina'
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
Explanation: Your first neural network
In this project, you'll build your first neural network and use it to predict daily bike rental ridership. We've provided some of t... |
3,716 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
=========================================
Reading/Writing a noise covariance matrix
=========================================
Plot a noise covariance matrix.
Step1: Show covariance | Python Code:
# Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
#
# License: BSD (3-clause)
from os import path as op
import mne
from mne.datasets import sample
print(__doc__)
data_path = sample.data_path()
fname_cov = op.join(data_path, 'MEG', 'sample', 'sample_audvis-cov.fif')
fname_evo = op.join(data_path, '... |
3,717 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Using dstoolbox visualization
Table of contents
Nodes and edges of a pipeline
Visualizing a pipeline
Step1: Nodes and edges of a pipeline
Every sklearn Pipeline and FeatureUnion can be seen... | Python Code:
from pprint import pprint
from IPython.display import Image
from sklearn.pipeline import Pipeline
from sklearn.pipeline import FeatureUnion
from sklearn.preprocessing import FunctionTransformer
from sklearn.preprocessing import StandardScaler
from dstoolbox.utils import get_nodes_edges
from dstoolbox.visua... |
3,718 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Using a CFSv2 forecast
CFSv2 is a seasonal forecast system, used for analysing past climate and also making seasonal, up to 9-month, forecasts. Here we give a brief example on how to use Pl... | Python Code:
%matplotlib notebook
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import calendar
import datetime
import matplotlib.dates as mdates
from API_client.python.datahub import datahub_main
from API_client.python.lib.dataset import dataset
from API_client.python.lib.variables import vari... |
3,719 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Variational Inference
Step1: Model specification
A neural network is quite simple. The basic unit is a perceptron which is nothing more than logistic regression. We use many of these in par... | Python Code:
%matplotlib inline
import theano
theano.config.floatX = 'float64'
import pymc3 as pm
import theano.tensor as T
import sklearn
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style('white')
from sklearn import datasets
from sklearn.preprocessing import scale
from sklearn.cro... |
3,720 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Copyright 2020 Google LLC
Licensed under the Apache License, Version 2.0 (the "License")
Step1: Build the libcoral C++ examples
This Colab provides a convenient way to build the libcoral C+... | Python Code:
# 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
# distribute... |
3,721 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
1A.algo - Optimisation sous contrainte (correction)
Un peu plus de détails dans cet article
Step1: On rappelle le problème d'optimisation à résoudre
Step2: Exercice 2
Step3: La code pr... | Python Code:
from jyquickhelper import add_notebook_menu
add_notebook_menu()
Explanation: 1A.algo - Optimisation sous contrainte (correction)
Un peu plus de détails dans cet article : Damped Arrow-Hurwicz algorithm for sphere packing.
End of explanation
from cvxopt import solvers, matrix
import random
def fonction(x=No... |
3,722 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Decomposition framework of the PySAL segregation module
This is a notebook that explains a step-by-step procedure to perform decomposition on comparative segregation measures.
First, let's i... | Python Code:
import pandas as pd
import pickle
import numpy as np
import matplotlib.pyplot as plt
from pysal.explore import segregation
from pysal.explore.segregation.decomposition import DecomposeSegregation
Explanation: Decomposition framework of the PySAL segregation module
This is a notebook that explains a step-by... |
3,723 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Batch Normalization – Practice
Batch normalization is most useful when building deep neural networks. To demonstrate this, we'll create a convolutional neural network with 20 convolutional l... | Python Code:
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True, reshape=False)
Explanation: Batch Normalization – Practice
Batch normalization is most useful when building deep neural networks. To demonstrate this, we'll crea... |
3,724 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
The porepy grid structure
In this tutorial we investigate the PorePy grid structure, and explain how to access information stored in the grid.
Basic grid construction
The simplest grids are... | Python Code:
import numpy as np
import porepy as pp
nx = np.array([3, 2])
g = pp.CartGrid(nx)
Explanation: The porepy grid structure
In this tutorial we investigate the PorePy grid structure, and explain how to access information stored in the grid.
Basic grid construction
The simplest grids are Cartesian. PorePy can ... |
3,725 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Exercise 1
Learn how to use tensorflow basic concepts and variables
First start to learn about the graph structure, tensorflow is built upon the nodes
Step1: Next, we are going to show how ... | Python Code:
# basic imported headers
import tensorflow as tf
Second, learn how to fetch the data from the result
input1 = tf.constant(3.0)
input2 = tf.constant(2.0)
input3 = tf.constant(5.0)
intermd = tf.add(input1, input2)
mult = tf.multiply(input3, intermd)
with tf.Session() as sess:
result = sess.run([mult,... |
3,726 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Computing source space SNR
This example shows how to compute and plot source space SNR as in
Step1: EEG
Next we do the same for EEG and plot the result on the cortex | Python Code:
# Author: Padma Sundaram <tottochan@gmail.com>
# Kaisu Lankinen <klankinen@mgh.harvard.edu>
#
# License: BSD (3-clause)
import mne
from mne.datasets import sample
from mne.minimum_norm import make_inverse_operator, apply_inverse
import numpy as np
import matplotlib.pyplot as plt
print(__doc__)
data... |
3,727 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Converting a Deterministic <span style="font-variant
Step1: The function regexp_sum takes a set $S = { r_1, \cdots, r_n }$ of regular expressions
as its argument. It returns the regular ex... | Python Code:
def arb(S):
for x in S:
return x
Explanation: Converting a Deterministic <span style="font-variant:small-caps;">Fsm</span> into a Regular Expression
Given a set S, the function arb(S) returns an arbitrary member from S.
End of explanation
def regexp_sum(S):
n = len(S)
if n == 0:
... |
3,728 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
On this notebook the best models and input parameters will be searched for. The problem at hand is predicting the price of any stock symbol 56 days ahead, assuming one model for all the symb... | Python Code:
# Basic imports
import os
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import datetime as dt
import scipy.optimize as spo
import sys
from time import time
from sklearn.metrics import r2_score, median_absolute_error
%matplotlib inline
%pylab inline
pylab.rcParams['figure.figsize'] ... |
3,729 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<img src="../../images/qiskit-heading.gif" alt="Note
Step1: Single Qubit Quantum states
A single qubit quantum state can be written as
$$|\psi\rangle = \alpha|0\rangle + \beta |1\rangle$$
w... | Python Code:
# Useful additional packages
import matplotlib.pyplot as plt
%matplotlib inline
import numpy as np
from math import pi
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit import available_backends, execute, register, get_backend
from qiskit.tools.visualization import circuit_... |
3,730 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Introduction
In this notebook I study the stokeslet, foundamental solution of stokes equation
$$ \nabla \mathbf p +\mu \nabla^2 \mathbf u=\mathbf f$$
The stokeslet gives the flow field $\mat... | Python Code:
import numpy as np
import pylab as pl
import seaborn as sns
sns.set_style("white")
%matplotlib inline
x,X,y,Y=-5,5,-5,5 #our space
dx,dy=.5,.5 #discretisation
mX,mY=np.meshgrid(np.arange(x,X,dx),np.arange(y,Y,dy))
pl.scatter(mX,mY,s=1,lw=1,c='r')
Explanation: Introduction
In this notebook I study the... |
3,731 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Data Checks
Schema checks
Step1: A bit of basic pandas
Let's first start by reading in the CSV file as a pandas.DataFrame().
Step2: To get the columns of a DataFrame object df, call df.col... | Python Code:
%load_ext autoreload
%autoreload 2
%matplotlib inline
%config InlineBackend.figure_format = 'retina'
Explanation: Data Checks
Schema checks: Making sure that only the columns that are expected are provided.
Datum checks:
Looking for missing values
Ensuring that expected value ranges are correct
Statistical... |
3,732 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Introduction
You are getting to the point where you can own an analysis from beginning to end. So you'll do more data exploration in this exercise than you've done before. Before you get st... | Python Code:
# Set up feedback system
from learntools.core import binder
binder.bind(globals())
from learntools.sql.ex5 import *
print("Setup Complete")
Explanation: Introduction
You are getting to the point where you can own an analysis from beginning to end. So you'll do more data exploration in this exercise than yo... |
3,733 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Matplotlib Basics
Step1: Functional method
Step2: Object oriented method
Step3: Matplotlib Basics continued...2
Step4: Figure Size and DPI
Step5: Saving figures
Step6: Matplotlib Basic... | Python Code:
import matplotlib.pyplot as plt
import numpy as np
%matplotlib inline
x = np.linspace(0,5,11)
y = x ** 2
x
y
Explanation: Matplotlib Basics
End of explanation
plt.plot(x, y)
plt.xlabel('X Label')
plt.ylabel('Y Label')
plt.title('Title')
plt.show()
# Multiplot on same canvas
plt.subplot(1,2,1) # rows, col... |
3,734 | Given the following text problem statement, write Python code to implement the functionality described below in problem statement
Problem:
I have data of sample 1 and sample 2 (`a` and `b`) – size is different for sample 1 and sample 2. I want to do a weighted (take n into account) two-tailed t-test. | Problem:
import numpy as np
import scipy.stats
a = np.random.randn(40)
b = 4*np.random.randn(50)
_, p_value = scipy.stats.ttest_ind(a, b, equal_var = False) |
3,735 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
\title{Combinational-Circuit Building Blocks aka medium scale integrated circuit (MSI) in myHDL}
\author{Steven K Armour}
\maketitle
Table of Contents
<p><div class="lev1 toc-item"><a href="... | Python Code:
import numpy as np
import pandas as pd
from sympy import *
init_printing()
from myhdl import *
from myhdlpeek import *
import random
from sympy_myhdl_tools import *
pass
Explanation: \title{Combinational-Circuit Building Blocks aka medium scale integrated circuit (MSI) in myHDL}
\author{Steven K Armour}
\m... |
3,736 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Geomath - Conhecendo os Recursos
Explorando Pontos
Pontos são a unidade basica da Geometria Analítica, eles são os objetos que podem definir se algo existe ou não existe e muitos outros fato... | Python Code:
from geomath.point import Point
A = Point(0,0)
B = Point(4,4)
A.distance(B)
A.midpoint(B)
B.quadrant()
Explanation: Geomath - Conhecendo os Recursos
Explorando Pontos
Pontos são a unidade basica da Geometria Analítica, eles são os objetos que podem definir se algo existe ou não existe e muitos outros fator... |
3,737 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
This images and the equacions are from
Step1: For now I´m using only the forces b and d, the force b are the force applied in the point b, and the force d are the force applied on the point... | Python Code:
%matplotlib inline
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
import math
#Ipython Libraries
# Remember to remove when you pass to Spyder.
from IPython.display import Image
Image(filename='axis.png')
a1 = 1
a2 = 1
b1 = 1
b2 = 1
c1 = 1
c2 = 1
d1 = 1
d2 = 1
theta = math.radians(56.6... |
3,738 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
A significant portion of the time you spend on the problem sets in CogSci131 will be spent debugging. In this notebook we discuss simple strategies to minimize hair loss and maximize coding ... | Python Code:
# for inline plotting in the notebook
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
def plot_log():
figure, axis = plt.subplots(2, 1)
x = np.linspace(1, 2, 10)
axis.plot(x, np.log(x))
plt.show()
plot_log() # Call the function, generate plot
Explanation: A significa... |
3,739 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Batch Normalization – Practice
Batch normalization is most useful when building deep neural networks. To demonstrate this, we'll create a convolutional neural network with 20 convolutional l... | Python Code:
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True, reshape=False)
Explanation: Batch Normalization – Practice
Batch normalization is most useful when building deep neural networks. To demonstrate this, we'll crea... |
3,740 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Step2: Numerical Integration
Step3: Below is, mathematically, $f_{-h}
Step4: Then, we can use sympy to calculate, symbolically, $f_{h}
Step5: Success! Trapezoid rule was rederived (stop... | Python Code:
from itertools import combinations
import sympy
from sympy import Function, integrate, Product, Sum, Symbol, symbols
from sympy.abc import a,b,h,i,k,m,n,x
from sympy import Rational as Rat
def lagrange_basis_polys(N,x,xpts=None):
lagrange_basis_polynomials(N,x,xpts)
returns the Lagrange basis ... |
3,741 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Manual publication DB insertion from raw text using syntax features
Publications and conferences of Dr. AVRAM Sanda, Profesor Universitar
http
Step1: 47 pubs obtained
DB Storage (TODO)
Time... | Python Code:
class HelperMethods:
@staticmethod
def IsDate(text):
# print("text")
# print(text)
for c in text.lstrip():
if c not in "1234567890 ":
return False
return True
import pandas
import requests
page = requests.get('http://www.cs.ubbcluj.ro/~san... |
3,742 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Lecture 11
Input File Interlude
Wednesday, October 11th 2017
Input Files and Parsing
We usually want to read data into our software
Step1: Looping Over Child Elements
Step2: Accessing Chil... | Python Code:
import xml.etree.ElementTree as ET
tree = ET.parse('shelterdogs.xml')
dogshelter = tree.getroot()
print(dogshelter)
print(dogshelter.tag)
print(dogshelter.attrib)
Explanation: Lecture 11
Input File Interlude
Wednesday, October 11th 2017
Input Files and Parsing
We usually want to read data into our software... |
3,743 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
We can then canonicalize the MPS
Step1: And we can compute the inner product as
Step2: This relies on them sharing the same physical indices, site_ind_id,
which the conjugated copy p.H na... | Python Code:
p.left_canonize()
p.show()
Explanation: We can then canonicalize the MPS:
End of explanation
p.H @ p
Explanation: And we can compute the inner product as:
End of explanation
(p.H & p).graph(color=[f'I{i}' for i in range(30)], initial_layout='random')
p2 = (p + p) / 2
p2.show()
Explanation: This relies on t... |
3,744 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Sigma to Pressure Interpolation
By using metpy.calc.log_interp, data with sigma as the vertical coordinate can be
interpolated to isobaric coordinates.
Step1: Data
The data for this example... | Python Code:
import cartopy.crs as ccrs
import cartopy.feature as cfeature
import matplotlib.pyplot as plt
from netCDF4 import Dataset, num2date
from metpy.cbook import get_test_data
from metpy.interpolate import log_interpolate_1d
from metpy.plots import add_metpy_logo, add_timestamp
from metpy.units import units
Expl... |
3,745 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Algorithms Exercise 2
Imports
Step2: Peak finding
Write a function find_peaks that finds and returns the indices of the local maxima in a sequence. Your function should
Step3: Here is a st... | Python Code:
%matplotlib inline
from matplotlib import pyplot as plt
import seaborn as sns
import numpy as np
Explanation: Algorithms Exercise 2
Imports
End of explanation
def find_peaks(a):
Find the indices of the local maxima in a sequence.
b = np.array(a)
c = b.max()
return b[c]
p1 = find_peaks([2,0,... |
3,746 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Logistic Neurons
Step1: Activation of a logistic neuron
Step2: Step 2
Step3: Step 3
Step4: Exercise | Python Code:
import numpy as np
from utils import make_classification, draw_decision_boundary, sigmoid
from sklearn.metrics import accuracy_score
from theano import tensor as T
from theano import function, shared
import matplotlib.pyplot as plt
plt.style.use('ggplot')
plt.rc('figure', figsize=(8, 6))
%matplotlib inline... |
3,747 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Opgave 1
Maak een lege lijst aan en noem deze lijst getallen_a.
Vul deze lijst via een for loop met de getallen 2, 4, 6 , 8 en 10
Check of de lijst er zo uitziet als verwacht, hoeveel el... | Python Code:
# 1.1
getallen_a = []
# 1.2
for i in range(2, 11, 2):
getallen_a.append(i)
# 1.3
print("Lijst getallen_a:", getallen_a)
print("Lengte of aantal elementen:", len(getallen_a))
print("Getal op plek 0:", getallen_a[0])
print("Getal op plek 3:", getallen_a[3])
print("Getal op plek -1:", getallen_a[-1])
# 1.... |
3,748 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Step1: Q1
Step3: Let's solve ${\bf Hx} ={\bf b}$. Create a linear system by picking an ${\bf x}$ and generating a ${\bf b}$ by multiplying by the matrix ${\bf H}$. Then use the scipy.lina... | Python Code:
def hilbert(n):
return a Hilbert matrix, H_ij = (i + j - 1)^{-1}
H = np.zeros((n,n), dtype=np.float64)
for i in range(1, n+1):
for j in range(1, n+1):
H[i-1,j-1] = 1.0/(i + j - 1.0)
return H
Explanation: Q1: integrating a sampled vs. analytic function
Numerical integra... |
3,749 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Step2: Sentiment Classification on Large Movie Reviews
Sentiment Analysis is understood as a classic natural language processing problem. In this example, a large moview review dataset was c... | Python Code:
from bigdl.dataset import base
import numpy as np
def download_imdb(dest_dir):
Download pre-processed IMDB movie review data
:argument
dest_dir: destination directory to store the data
:return
The absolute path of the stored data
file_name = "imdb.npz"
file_abs_path... |
3,750 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
textblob
Step1: Vamos a crear nuestro primer ejemplo de textblob a través del objeto TextBlob. Piensa en estos textblobs como una especie de cadenas de texto de Python, analaizadas y enriqu... | Python Code:
from textblob import TextBlob
Explanation: textblob: otro módulo para tareas de PLN (NLTK + pattern)
textblob es una librería de procesamiento del texto para Python que permite realizar tareas de Procesamiento del Lenguaje Natural como análisis morfológico, extracción de entidades, análisis de opinión, tra... |
3,751 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Regression Plots
Step1: Duncan's Prestige Dataset
Load the Data
We can use a utility function to load any R dataset available from the great <a href="https
Step2: Influence plots
Influence... | Python Code:
%matplotlib inline
from statsmodels.compat import lzip
import numpy as np
import matplotlib.pyplot as plt
import statsmodels.api as sm
from statsmodels.formula.api import ols
plt.rc("figure", figsize=(16,8))
plt.rc("font", size=14)
Explanation: Regression Plots
End of explanation
prestige = sm.datasets.get... |
3,752 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
如何使用和开发微信聊天机器人的系列教程
A workshop to develop & use an intelligent and interactive chat-bot in WeChat
WeChat is a popular social media app, which has more than 800 million monthly active users.
... | Python Code:
# from __future__ import unicode_literals, division
# import time, datetime, requests
import itchat
from itchat.content import *
Explanation: 如何使用和开发微信聊天机器人的系列教程
A workshop to develop & use an intelligent and interactive chat-bot in WeChat
WeChat is a popular social media app, which has more than 800 milli... |
3,753 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Chapter 26
Modeling and Simulation in Python
Copyright 2021 Allen Downey
License
Step1: Case studies!
Bungee jumping
Suppose you want to set the world record for the highest "bungee dunk",
... | Python Code:
# install Pint if necessary
try:
import pint
except ImportError:
!pip install pint
# download modsim.py if necessary
from os.path import exists
filename = 'modsim.py'
if not exists(filename):
from urllib.request import urlretrieve
url = 'https://raw.githubusercontent.com/AllenDowney/ModSim/... |
3,754 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
This notebook is part of the clifford documentation
Step1: Convert a complex number to a spinor
Step2: Convert a spinor to a complex number
Step3: Make sure we get what we started with wh... | Python Code:
import clifford as cf
layout, blades = cf.Cl(2) # instantiate a 2D- GA
locals().update(blades) # put all blades into local namespace
def c2s(z):
'''convert a complex number to a spinor'''
return z.real + z.imag*e12
def s2c(S):
'''convert a spinor to a complex number'''
S0 = float(S(0))
... |
3,755 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
EventVestor
Step1: Let's go over the columns
Step2: <a id='pipeline'></a>
Pipeline Overview
Accessing the data in your algorithms & research
The only method for accessing partner data with... | Python Code:
# import the dataset
from quantopian.interactive.data.eventvestor import mergers_and_acquisitions_free as dataset
# or if you want to import the free dataset, use:
#from quantopian.data.eventvestor import buyback_auth_free
# import data operations
from odo import odo
# import other libraries we will use
im... |
3,756 | Given the following text description, write Python code to implement the functionality described.
Description:
How to swap two bits in a given integer ?
This function swaps bit at positions p1 and p2 in an integer n ; Move p1 'th to rightmost side ; Move p2 'th to rightmost side ; XOR the two bits ; Put the xor bit bac... | Python Code:
def swapBits(n , p1 , p2 ) :
bit1 =(n >> p1 ) & 1
bit2 =(n >> p2 ) & 1
x =(bit1 ^ bit2 )
x =(x << p1 ) |(x << p2 )
result = n ^ x
return result
if __name__== ' __main __' :
res = swapBits(28 , 0 , 3 )
print("Result ▁ = ▁ ", res )
|
3,757 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Understanding Hyperbole using RSA
"My new kettle cost a million dollars."
Hyperbole -- using an exagerated utterance to convey strong opinions -- is a common non-literal use of language. Yet... | Python Code:
#first some imports
import torch
torch.set_default_dtype(torch.float64) # double precision for numerical stability
import collections
import argparse
import matplotlib.pyplot as plt
import pyro
import pyro.distributions as dist
import pyro.poutine as poutine
from search_inference import HashingMarginal, m... |
3,758 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<a href='http
Step1: Get the Data
Read in the advertising.csv file and set it to a data frame called ad_data.
Step2: Check the head of ad_data
Step3: Use info and describe() on ad_data
St... | Python Code:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline
Explanation: <a href='http://www.pieriandata.com'> <img src='../Pierian_Data_Logo.png' /></a>
Logistic Regression Project
In this project we will be working with a fake advertising data set, indi... |
3,759 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Spark version of wordcount examples
Prepare the pyspark environment.
Step1: Make sure your HDFS is still on and the input files (the three books) are still in the input folder.
Create the i... | Python Code:
import findspark
import os
findspark.init('/home/ubuntu/shortcourse/spark-1.5.1-bin-hadoop2.6')
from pyspark import SparkContext, SparkConf
conf = SparkConf().setAppName("test").setMaster("local[2]")
sc = SparkContext(conf=conf)
Explanation: Spark version of wordcount examples
Prepare the pyspark environme... |
3,760 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Reproducing the black hole discovery in Thompson et al. 2019
In this science demo tutorial, we will reproduce the results in Thompson et al. 2019, who found and followed-up a candidate stell... | Python Code:
from astropy.io import ascii
from astropy.time import Time
import astropy.units as u
import matplotlib.pyplot as plt
%matplotlib inline
import numpy as np
import pymc3 as pm
import pymc3_ext as pmx
import exoplanet.units as xu
import exoplanet as xo
import corner
import arviz as az
import thejoker as tj
fr... |
3,761 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Chapter 1
Step1: コメント
1. 行頭に#をつける
Step3: 2. 文字列としてコメントを書く．
ソースコードの中に文字列を埋め込むことができる．
表示しない文字列を書いても，正常に実行することができる．
Step4: 1-2. 変数
代入と参照
代入：具体的な値を変数に入れること．
参照：変数に代入した値を利用すること
Step5: 数値に対する演... | Python Code:
print("Hello")
Explanation: Chapter 1: Pythonの基本編
Pythonの概要
対話モード
スクリプトの実行
コメントの書き方
変数
代入と参照
数値に対する演算
関数
標準入力
ファイルの読み書き
練習問題
1-1. Pythonの概要
対話モード
コマンドライン上で`python`というコマンドを入力することで起動する．対話モードでは，プログラムを入力し，`Enter`キーを押してすぐに実行することができる．また，対話モードを終了するためには，`exit()`と入力し実行するか`Ctrl+D`を押す．
スクリプトの実行
ファイル名`filename.py`のように... |
3,762 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Digits
This notebook one-vs-all logistic regression and neural networks to recognize hand-written digits.
1 - Overview of the data set
The dataset contains 5000 training examples of handwri... | Python Code:
from scipy.io import loadmat
dataset = loadmat('../datasets/mnist-data.mat') # comes as dictionary
dataset.keys()
Explanation: Digits
This notebook one-vs-all logistic regression and neural networks to recognize hand-written digits.
1 - Overview of the data set
The dataset contains 5000 training examples ... |
3,763 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Your first neural network
In this project, you'll build your first neural network and use it to predict daily bike rental ridership. We've provided some of the code, but left the implementat... | Python Code:
%matplotlib inline
%config InlineBackend.figure_format = 'retina'
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
Explanation: Your first neural network
In this project, you'll build your first neural network and use it to predict daily bike rental ridership. We've provided some of t... |
3,764 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Required
Step1: Install Jekyll
by Ruxi
Feb 8, 2016
What is Jekyll? Its a static templating library enables blogging on github pages
It follows this directory structure
Step2: Instructions
... | 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
from IPython.display import IFrame
url = 'http://jekyllrb.com/docs/structure/'
IFra... |
3,765 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
MaxPooling3D
[pooling.MaxPooling3D.0] input 4x4x4x2, pool_size=(2, 2, 2), strides=None, padding='valid', data_format='channels_last'
Step1: [pooling.MaxPooling3D.1] input 4x4x4x2, pool_size... | Python Code:
data_in_shape = (4, 4, 4, 2)
L = MaxPooling3D(pool_size=(2, 2, 2), strides=None, padding='valid', data_format='channels_last')
layer_0 = Input(shape=data_in_shape)
layer_1 = L(layer_0)
model = Model(inputs=layer_0, outputs=layer_1)
# set weights to random (use seed for reproducibility)
np.random.seed(290)
... |
3,766 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<a href="https
Step1: Convolutional Neural Networks
Convolutional Neural Networks (CNNs) are deep neural networks with the addition of two very special types of layers
Step2: Now let's cre... | Python Code:
# 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
# distribute... |
3,767 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Hugging Face Accelerate Demo
Note
Step1: Import the required modules.
Step2: wandb initialization. See wandb_demo notebook for more details.
Step3: Build the model
Use a ResNet18 from tor... | Python Code:
!pip install accelerate
Explanation: Hugging Face Accelerate Demo
Note: Before running this demo, please make sure that you have wandb.ai free account.
Let us install accelerate.
End of explanation
import torch
import torchvision
import wandb
import datetime
from torch.optim import SGD
from torch.optim.lr... |
3,768 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Filtering and resampling data
This tutorial covers filtering and resampling, and gives examples of how
filtering can be used for artifact repair.
We begin as always by importing the necessar... | Python Code:
import os
import numpy as np
import matplotlib.pyplot as plt
import mne
sample_data_folder = mne.datasets.sample.data_path()
sample_data_raw_file = os.path.join(sample_data_folder, 'MEG', 'sample',
'sample_audvis_raw.fif')
raw = mne.io.read_raw_fif(sample_data_raw_file)
... |
3,769 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Padding
We're almost ready to train our model. There's just one hitch though
Step1: Let's inspect the shapes of our padded questions.
Step2: Great, each of our questions is now of length m... | Python Code:
maxlen = 100
max_training_instances=10000
# It takes a long time to train on all 400,000 samples on CPU (5 hours/epoch) --- let's cut it down to
# max_training_instances size. The dataset itself is a bit unbalanced, around 67% non-duplicate
# / 33% duplicate. We can use this opportunity to make it more b... |
3,770 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Python Windrose with MesoWest Data
Introduction
Who are we?
http
Step1: #### Customize matplotlib
It's so much easier to modify matplotlib defaults like this rather than inline with the p... | Python Code:
%matplotlib inline
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import numpy as np
from datetime import datetime
import json
from urllib.request import urlopen
# Confirm that `pm25rose.py` is in your directory
from pm25rose import WindroseAxes
import mesowest
Explanat... |
3,771 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Bivariate
A bivariate analysis differs from a univariate, or distribution analysis, in that it is the analysis of two separate sets of data. These two sets of data are compared to one anothe... | Python Code:
import numpy as np
import scipy.stats as st
from sci_analysis import analyze
%matplotlib inline
# Create x-sequence and y-sequence from random variables.
np.random.seed(987654321)
x_sequence = st.norm.rvs(2, size=2000)
y_sequence = np.array([x + st.norm.rvs(0, 0.5, size=1) for x in x_sequence])
Explanation... |
3,772 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Trabajo en clase 02
Step1: Primer Punto
Leemos primero los datos de los tiempos medidos en el laboratorio guardados en el archivo 'data.csv'
Step2: # Análisis
Para el caso en el que se usa... | Python Code:
# Librerías
import matplotlib
from scipy import misc
from scipy import stats
from scipy import special
import pylab as plt
import numpy as np
%matplotlib inline
font = {'weight' : 'bold',
'size' : 16}
matplotlib.rc('font', **font)
from IPython.display import display
from IPython.display import HT... |
3,773 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Let's create a polygon that can be transformed (i.e. rotated and scaled) and dragged. You can drag the polygon around, or use the handler to rotate it and to scale it. Note that the transfor... | Python Code:
pg = Polygon(locations=polygon_coords, transform=True, draggable=True)
m += pg
Explanation: Let's create a polygon that can be transformed (i.e. rotated and scaled) and dragged. You can drag the polygon around, or use the handler to rotate it and to scale it. Note that the transformations are synced across... |
3,774 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
reduce()
Many times students have difficulty understanding reduce() so pay careful attention to this lecture. The function reduce(function, sequence) continually applies the function to the ... | Python Code:
lst =[47,11,42,13]
reduce(lambda x,y: x+y,lst)
Explanation: reduce()
Many times students have difficulty understanding reduce() so pay careful attention to this lecture. The function reduce(function, sequence) continually applies the function to the sequence. It then returns a single value.
If seq = [ s1,... |
3,775 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Chained Visualizations with Yellowbrick Pipelines
In Yellowbrick, VisualPipelines are modeled on Scikit-Learn Pipelines, which allow us to chain estimators together in a sane way and use the... | Python Code:
%matplotlib inline
import os
import sys
# Modify the path
sys.path.append("/Users/rebeccabilbro/Desktop/waves/stuff/yellowbrick")
import requests
import numpy as np
import pandas as pd
import yellowbrick as yb
import matplotlib.pyplot as plt
Explanation: Chained Visualizations with Yellowbrick Pipeline... |
3,776 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
1. Wifi_Scan Data
Step1: <br/>
2. Housing Project Data
https
Step2: - "OpenStreetMap"
- "Mapbox Bright" (Limited levels of zoom for free tiles)
- "Mapbox Control Room" (Limited levels of z... | Python Code:
# Read File
df = pd.read_csv("/home/dj/Desktop/motoG4_062212.csv")
# convert Unix timestamp into readable timestamp
df['time2'] = map(lambda x: dt.datetime.fromtimestamp(x), df.time.astype(float)/1000)
df['month'] = map(lambda x: x.month, df['time2'])
df['day'] = map(lambda x: x.day, df['time2'])
df['hour'... |
3,777 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
An Exploration of Nueral Net Capabilities
Step1: Abstract
A nueral network is a computational analogy to the methods by which humans think. Their design builds upon the idea of a neuron eit... | Python Code:
import numpy as np
import matplotlib
from matplotlib import pyplot as plt
matplotlib.style.use('ggplot')
import IPython as ipynb
%matplotlib inline
Explanation: An Exploration of Nueral Net Capabilities
End of explanation
z = np.linspace(-10, 10, 100)
f=plt.figure(figsize=(15, 5))
plt.subplot(1, 2,1)
plt.p... |
3,778 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Step1: Learn to calculate with seq2seq model
In this assignment, you will learn how to use neural networks to solve sequence-to-sequence prediction tasks. Seq2Seq models are very popular the... | Python Code:
import random
def generate_equations(allowed_operators, dataset_size, min_value, max_value):
Generates pairs of equations and solutions to them.
Each equation has a form of two integers with an operator in between.
Each solution is an integer with the result of the operaion.
... |
3,779 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Arrow
Vaex supports Arrow. We will demonstrate vaex+arrow by giving a quick look at a large dataset that does not fit into memory. The NYC taxi dataset for the year 2015 contains about 150 m... | Python Code:
!ls -alh /Users/maartenbreddels/datasets/nytaxi/nyc_taxi2015.arrow
import vaex
Explanation: Arrow
Vaex supports Arrow. We will demonstrate vaex+arrow by giving a quick look at a large dataset that does not fit into memory. The NYC taxi dataset for the year 2015 contains about 150 million rows containing in... |
3,780 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Introducción al aprendizaje automático con scikit-learn
En los últimos tiempos habrás oído hablar de machine learning, deep learning, reinforcement learning, muchas más cosas que contienen l... | Python Code:
# X_train, X_test, Y_train, Y_test =
# preserve
X_train.shape, Y_train.shape
# preserve
X_test.shape, Y_test.shape
Explanation: Introducción al aprendizaje automático con scikit-learn
En los últimos tiempos habrás oído hablar de machine learning, deep learning, reinforcement learning, muchas más cosas que ... |
3,781 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Compare the read depth and number of strains
This data is the average read depth of each metagenome. The table in read_depth.strains.tsv has the SRA ID, the average read depth across the amp... | Python Code:
#instantiate our environment
import os
import sys
%matplotlib inline
import pandas as pd
import statsmodels.api as sm
# read the data into a pandas dataframe
df = pd.read_csv("read_depth.strains.tsv", header=0, delimiter="\t")
print("Shape: {}".format(df.shape))
df.head()
Explanation: Compare the read dept... |
3,782 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Title
Step1: Create one column as a function of two columns
Step2: Create two columns as a function of one column | Python Code:
# Import modules
import pandas as pd
# Example dataframe
raw_data = {'regiment': ['Nighthawks', 'Nighthawks', 'Nighthawks', 'Nighthawks', 'Dragoons', 'Dragoons', 'Dragoons', 'Dragoons', 'Scouts', 'Scouts', 'Scouts', 'Scouts'],
'company': ['1st', '1st', '2nd', '2nd', '1st', '1st', '2nd', '2nd','1st... |
3,783 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Today
Step1: Q. What should this yield?
Step2: Q. And this?
Step3: Q. So, what will this print out?
Step4: I'm smelling a violation of the DRY principle!
How can we improve? Another func... | Python Code:
x = 6.28 # set the variable x equal to tau, the real circular constant
# Note this is the only correct way to check equality on floats.
# Subtract the expected value and compare to your allowed error:
eps = 1e-10 # my deviation I allow until I call them 'equal'
if((x - 6.28) < eps): # if x is equal ... |
3,784 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<p><font size="6"><b>Python the essentials
Step1: Python is a calculator
Step2: also logical operators
Step3: Variable assignment
Step4: More information on print format
Step5: <div cla... | Python Code:
print("Hello INBO_course!") # python 3(!)
Explanation: <p><font size="6"><b>Python the essentials: A minimal introduction</b></font></p>
Introduction to GIS scripting
May, 2017
© 2017, Stijn Van Hoey (stijnvanhoey@gmail&... |
3,785 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Custom generators
Step1: Independent field generators
At its most basic, a custom generator provides simply a convenient way of grouping other generators together in a single namespace.
Ste... | Python Code:
import tohu
from tohu.v6.primitive_generators import *
from tohu.v6.derived_generators import *
from tohu.v6.generator_dispatch import *
from tohu.v6.custom_generator import *
from tohu.v6.utils import print_generated_sequence, make_dummy_tuples
#tohu.v6.logging.logger.setLevel('DEBUG')
from pandas.util.te... |
3,786 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
long-short-portfolio
On the first trading day of every month, rebalance portfolio to given percentages. One of the positions is a short position.
Step1: Define Portfolios
Note
Step2: Some... | Python Code:
import datetime
import matplotlib.pyplot as plt
import pandas as pd
import pinkfish as pf
# Format price data.
pd.options.display.float_format = '{:0.2f}'.format
%matplotlib inline
# Set size of inline plots.
'''note: rcParams can't be in same cell as import matplotlib
or %matplotlib inline
%matp... |
3,787 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Whitening evoked data with a noise covariance
Evoked data are loaded and then whitened using a given noise covariance
matrix. It's an excellent quality check to see if baseline signals match... | Python Code:
# Authors: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# Denis A. Engemann <denis.engemann@gmail.com>
#
# License: BSD (3-clause)
import mne
from mne import io
from mne.datasets import sample
from mne.cov import compute_covariance
print(__doc__)
Explanation: Whitening evoked data ... |
3,788 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
From raw data to dSPM on SPM Faces dataset
Runs a full pipeline using MNE-Python
Step1: Load and filter data, set up epochs
Step2: Visualize fields on MEG helmet
Step3: Look at the whiten... | Python Code:
# Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Denis Engemann <denis.engemann@gmail.com>
#
# License: BSD-3-Clause
import matplotlib.pyplot as plt
import mne
from mne.datasets import spm_face
from mne.preprocessing import ICA, create_eog_epochs
from mne import io, combine_evoked
fro... |
3,789 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Example 2
Step1: Example 1
Step2: Example 2
Step3: Example 3
Step4: Example 4
Step5: Example 5
Step6: Example 6 | Python Code:
# Import relevant modules
%matplotlib inline
%load_ext autoreload
%autoreload 2
import numpy as np
import healpy as hp
from NPTFit import create_mask as cm # Module for creating masks
Explanation: Example 2: Creating Masks
In this example we show how to create masks using create_mask.py.
Often it is conven... |
3,790 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Bienvenid@s a otra reunión de Pyladies!!
En esta sesión aprenderemos a crear nuestras propias funciones en python.Pero primero que son funciones?
Una función en python es un bloque de código... | Python Code:
animales = ['perro', 'gato', 'perico']
len(animales)
animales[1]
x = 4
type(int('43'))
Explanation: Bienvenid@s a otra reunión de Pyladies!!
En esta sesión aprenderemos a crear nuestras propias funciones en python.Pero primero que son funciones?
Una función en python es un bloque de código organizado y reu... |
3,791 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Keras Hello World
Install Keras
https
Step1: TODO | Python Code:
import tensorflow as tf
tf.__version__
import keras
keras.__version__
import h5py
h5py.__version__
import pydot
pydot.__version__
from keras.models import Sequential
model = Sequential()
from keras.layers import Dense
model.add(Dense(units=6, activation='relu', input_dim=4))
model.add(Dense(units=3, activa... |
3,792 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Title
Step1: List assignment
Step2: Break up a string into variables
Step3: Breaking up a number into separate variables
Step4: Assign the first letter of 'spam' into varible a, assign a... | Python Code:
variableName = 'This is a string.'
Explanation: Title: Breaking Up String Variables
Slug: breaking_up_string_variables
Summary: Breaking Up String Variables
Date: 2016-05-01 12:00
Category: Python
Tags: Basics
Authors: Chris Albon
Basic name assignment
End of explanation
One, Two, Three = [1, 2, 3]
Expla... |
3,793 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Toric Code Ground State
<table class="tfo-notebook-buttons" align="left">
<td>
<a target="_blank" href="https
Step1: Toric code Hamiltonian
The toric code Hamiltonian
\begin{equation}... | Python Code:
try:
import recirq
except ImportError:
!pip install --quiet git+https://github.com/quantumlib/ReCirq
import recirq
try:
import qsimcirq
except ImportError:
!pip install qsimcirq --quiet
import qsimcirq
import cirq
import matplotlib.pyplot as plt
import recirq.toric_code.toric_code_p... |
3,794 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Poisson
$$f\left(\left.y\right|x_{i}\right)=\frac{\exp\left(-\mu\left(x_{i}\right)\right)\mu\left(x_{i}\right)^{y}}{y!}$$
$$\mu\left(X_{i}\right)=\exp\left(X_{i}\theta\right)$$
Step1: Gener... | Python Code:
import numpy as np
import matplotlib.pylab as plt
import seaborn as sns
np.set_printoptions(precision=4, suppress=True)
sns.set_context('notebook')
%matplotlib inline
Explanation: Poisson
$$f\left(\left.y\right|x_{i}\right)=\frac{\exp\left(-\mu\left(x_{i}\right)\right)\mu\left(x_{i}\right)^{y}}{y!}$$
$$\mu... |
3,795 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<a href='http
Step1: Check for missing values
Step2: Take a quick look at the ham and spam label column
Step3: <font color=green>We see that 4825 out of 5572 messages, or 86.6%, are ham.<... | Python Code:
import numpy as np
import pandas as pd
df = pd.read_csv('../TextFiles/smsspamcollection.tsv', sep='\t')
df.head()
len(df)
Explanation: <a href='http://www.pieriandata.com'> <img src='../Pierian_Data_Logo.png' /></a>
Scikit-learn Primer
Scikit-learn (http://scikit-learn.org/) is an open-source machine learn... |
3,796 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Copyright 2019 The TensorFlow IO Authors.
Step1: 医療画像処理向けに DICOM ファイルをデコードする
<table class="tfo-notebook-buttons" align="left">
<td><a target="_blank" href="https
Step2: 必要なパッケージをインストールし、... | 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... |
3,797 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Whitening evoked data with a noise covariance
Evoked data are loaded and then whitened using a given noise covariance
matrix. It's an excellent quality check to see if baseline signals match... | Python Code:
# Authors: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# Denis A. Engemann <denis.engemann@gmail.com>
#
# License: BSD (3-clause)
import mne
from mne import io
from mne.datasets import sample
from mne.cov import compute_covariance
print(__doc__)
Explanation: Whitening evoked data ... |
3,798 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Example of using the Google API Client to access BigQuery
Note that this is <b>not</b> the recommended approach. You should use the BigQuery client library because that is idiomatic Python. ... | Python Code:
PROJECT='cloud-training-demos' # CHANGE THIS
from googleapiclient.discovery import build
service = build('bigquery', 'v2')
Explanation: Example of using the Google API Client to access BigQuery
Note that this is <b>not</b> the recommended approach. You should use the BigQuery client library because that i... |
3,799 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Análisis de los datos obtenidos
Uso de ipython para el análsis y muestra de los datos obtenidos durante la producción.Se implementa un regulador experto. Los datos analizados son del día 12 ... | Python Code:
#Importamos las librerías utilizadas
import numpy as np
import pandas as pd
import seaborn as sns
#Mostramos las versiones usadas de cada librerías
print ("Numpy v{}".format(np.__version__))
print ("Pandas v{}".format(pd.__version__))
print ("Seaborn v{}".format(sns.__version__))
#Abrimos el fichero csv co... |
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