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6,300 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Copyright 2020 The Cirq Developers
Step1: Hidden linear function problem
<table class="tfo-notebook-buttons" align="left">
<td>
<a target="_blank" href="https
Step6: In this notebook... | 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... |
6,301 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
A primer on numerical differentiation
In order to numerically evaluate a derivative $y'(x)=dy/dx$ at point $x_0$, we approximate is by using finite differences
Step1: Why is it that the seq... | Python Code:
dx = 1.
x = 1.
while(dx > 1.e-10):
dy = (x+dx)*(x+dx)-x*x
d = dy / dx
print("%6.0e %20.16f %20.16f" % (dx, d, d-2.))
dx = dx / 10.
Explanation: A primer on numerical differentiation
In order to numerically evaluate a derivative $y'(x)=dy/dx$ at point $x_0$, we approximate is by using f... |
6,302 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Loading of Libraries and Classes.
Step1: Create forward bond future PV (Exposure) time profile
Setting up parameters
Step2: Data input for the CouponBond portfolio
The word portfolio is us... | Python Code:
%matplotlib inline
from datetime import date
import time
import pandas as pd
import numpy as np
pd.options.display.max_colwidth = 60
from Curves.Corporates.CorporateDailyVasicek import CorporateRates
from Boostrappers.CDSBootstrapper.CDSVasicekBootstrapper import BootstrapperCDSLadder
from MonteCarloSimula... |
6,303 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Electron REST API
This website provides an electron insert factor REST API. A demonstration of the use of this API is given below. The source code for this heroku app is available at https
S... | Python Code:
# Copyright (C) 2016 Simon Biggs
# This program is free software: you can redistribute it and/or
# modify it under the terms of the GNU Affero General Public
# License as published by the Free Software Foundation, either
# version 3 of the License, or (at your option) any later version.
# This program is d... |
6,304 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Reading CTD data with PySeabird
Author
Step1: Let's first download an example file with some CTD data
Step2: The profile dPIRX003.cnv.OK was loaded with the default rule cnv.yaml
The heade... | Python Code:
%matplotlib inline
from seabird.cnv import fCNV
Explanation: Reading CTD data with PySeabird
Author: Guilherme Castelão
pySeabird is a package to parse/load CTD data files. It should be an easy task but the problem is that the format have been changing along the time. Work with multiple ships/cruises data ... |
6,305 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Look up columns for all tracts/block groups from 2010 decimal census
(bunched in groups of 20 due to api quatas)
Step1: merge all dataframes to one based on pairs of tracts and block groups... | Python Code:
census_20 = api.query_census_api('census',39, '061','*','*',['H0030001', 'H0030002', 'H0030003', 'H0040002', 'H0040004', 'H0050002', 'H0060002', 'H0060003', 'H0060004', 'H0060005', 'H0060006', 'H0060007', 'H0060008', 'H0100001', 'H0130002', 'H0130003', 'H0130004', 'H0130005', 'H0130006', 'H0130007'], 2010,... |
6,306 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
\d - 숫자
\s - 공백(whitespace)
\w - 문자+숫자(alphanumeric)
\t - tab
\n - 개행문자
Step1: 인터넷 DB 읽기
Yahoo! Finance
Google Finance
St.Louis FED (FRED)
Kenneth French's data library
World Bank
Google An... | Python Code:
# 특정값 NA로 취급
na_val = {'term' : [36]}
pd.read_csv('example_df.csv', na_values=na_val).head()
# 행 생략
df.head()
pd.read_csv('example_df.csv', skiprows=[1, 2]).head()
# 일부 행만 읽기
df_output = pd.read_csv('example_df.csv', nrows=3)
df_output
# file output
df_output.to_csv('df_output.csv', index=False, header=Fal... |
6,307 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Conjugate Priors
Think Bayes, Second Edition
Copyright 2020 Allen B. Downey
License
Step1: In the previous chapters we have used grid approximations to solve a variety of problems.
One of m... | Python Code:
# If we're running on Colab, install empiricaldist
# https://pypi.org/project/empiricaldist/
import sys
IN_COLAB = 'google.colab' in sys.modules
if IN_COLAB:
!pip install empiricaldist
# Get utils.py
from os.path import basename, exists
def download(url):
filename = basename(url)
if not exists(... |
6,308 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Copyright 2021 The TensorFlow Authors.
Step1: On-Device Training with TensorFlow Lite
<table class="tfo-notebook-buttons" align="left">
<td>
<a target="_blank" href="https
Step2: Not... | 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... |
6,309 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
用 NumPy 就能辨識數字
Step1: 先下載 MNIST 資料
Step2: Q
先看看這些資料是什麼吧！
Step3: Supervised Learning
<img src="supervised.svg" />
類比：
<img src="supervised2.svg" />
類比：
中文房間
Step4: 看一下 MNIST 的 y 是什麼
Step5... | Python Code:
from PIL import Image
import numpy as np
Explanation: 用 NumPy 就能辨識數字
End of explanation
import os
import urllib
from urllib.request import urlretrieve
dataset = 'mnist.pkl.gz'
def reporthook(a,b,c):
print("\rdownloading: %5.1f%%"%(a*b*100.0/c), end="")
if not os.path.isfile(dataset):
origi... |
6,310 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Nyquist
Step1: Proportional control of the normalized DC-motor
Zero-order hold sampling of the DC motor with transfer function $G(s)=\frac{1}{s(s+1)}$ gives the discrete time system
\begin{... | Python Code:
import numpy as np
import sympy as sy
import itertools
import matplotlib.pyplot as plt
import control.matlab as cm
init_printing()
%matplotlib inline
Explanation: Nyquist
End of explanation
z,h = sy.symbols('z,h')
eh = sy.exp(-h)
H = ( (h-1+eh)*z + (1-eh-h*eh) )/( z*z - (1+eh)*z + 0.5)
B,A = sy.fraction(H)... |
6,311 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Interact Exercise 6
Imports
Put the standard imports for Matplotlib, Numpy and the IPython widgets in the following cell.
Step1: Exploring the Fermi distribution
In quantum statistics, the ... | Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
import math as m
from IPython.display import Image
from IPython.html.widgets import interact, interactive, fixed
Explanation: Interact Exercise 6
Imports
Put the standard imports for Matplotlib, Numpy and the IPython widgets in the follo... |
6,312 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<a href="https
Step1: Intro to Sparse Data and Embeddings
Learning Objectives
Step3: Building a Sentiment Analysis Model
Let's train a sentiment-analysis model on this data that predicts i... | 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... |
6,313 | Given the following text problem statement, write Python code to implement the functionality described below in problem statement
Problem:
I have the following datatype: | Problem:
import pandas as pd
id=["Train A","Train A","Train A","Train B","Train B","Train B"]
arrival_time = ["0"," 2016-05-19 13:50:00","2016-05-19 21:25:00","0","2016-05-24 18:30:00","2016-05-26 12:15:00"]
departure_time = ["2016-05-19 08:25:00","2016-05-19 16:00:00","2016-05-20 07:45:00","2016-05-24 12:50:00","2016-... |
6,314 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<!-- -*- coding
Step1: By definition, a Graph is a collection of nodes (vertices) along with
identified pairs of nodes (called edges, links, etc). In NetworkX, nodes can
be any hashable ob... | Python Code:
import networkx as nx
G = nx.Graph()
G
Explanation: <!-- -*- coding: utf-8 -*- -->
Tutorial
This guide can help you start working with NetworkX.
Creating a graph
Create an empty graph with no nodes and no edges.
End of explanation
G.add_node(1)
Explanation: By definition, a Graph is a collection of nodes (... |
6,315 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<img align="right" src="../img/exercise_turning.png" />
Exercise
Step1: 3. Motion code
In the following program template, you must fill the gaps with the appropriate code.
The idea is to co... | Python Code:
import packages.initialization
import pioneer3dx as p3dx
p3dx.init()
Explanation: <img align="right" src="../img/exercise_turning.png" />
Exercise: Turn the robot for an angle.
You are going to make a program for turning the robot from the initial position at the start of the simulation, in the center of t... |
6,316 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Getting started with model selection
Those who have used Scikit-Learn before will no doubt already be familiar with the Choosing the Right Estimator flow chart. This diagram is handy for tho... | Python Code:
from __future__ import print_function
import os
import numpy as np
import pandas as pd
from sklearn.preprocessing import scale
from sklearn.preprocessing import normalize
from sklearn import cross_validation as cv
from sklearn.metrics import confusion_matrix, classification_report
from sklearn.metrics impo... |
6,317 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<a id='top'> </a>
Step1: Fraction correctly identified
Table of contents
Define analysis free parameters
Data preprocessing
Fitting random forest
Fraction correctly identified
Spectrum
Unfo... | Python Code:
%load_ext watermark
%watermark -a 'Author: James Bourbeau' -u -d -v -p numpy,matplotlib,scipy,pandas,sklearn,mlxtend
Explanation: <a id='top'> </a>
End of explanation
from __future__ import division, print_function
from collections import defaultdict
import itertools
import numpy as np
from scipy import in... |
6,318 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Assignment 4
Before working on this assignment please read these instructions fully. In the submission area, you will notice that you can click the link to Preview the Grading for each step ... | Python Code:
import pandas as pd
import numpy as np
data_url = "https://fred.stlouisfed.org/graph/fredgraph.csv?chart_type=line&recession_bars=on&log_scales=&bgcolor=%23e1e9f0&graph_bgcolor=%23ffffff&fo=Open+Sans&ts=12&tts=12&txtcolor=%23444444&show_legend=yes&show_axis_titles=yes&drp=0&cosd=2015-12-26&coed=2017-01-30&... |
6,319 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<a id="navigation"></a>
Single-cell Hi-C data analysis
Welcome to the second part of our analysis. Here we will work specifically with single-cell data.
The outline
Step1: In this case, we... | Python Code:
import os
from hiclib import mapping
from mirnylib import h5dict, genome
bowtie_path = '/opt/conda/bin/bowtie2'
enzyme = 'DpnII'
bowtie_index_path = '/home/jovyan/GENOMES/HG19_IND/hg19_chr1'
fasta_path = '/home/jovyan/GENOMES/HG19_FASTA/'
chrms = ['1']
genome_db = genome.Genome(... |
6,320 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Collaborative Filtering
Step1: Finding Similar Users
Euclidean Distance Score
One very simple way to calculate a similarity score is to use a Euclidean distance score, which takes the items... | Python Code:
%matplotlib inline
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
# A dictionary of movie critics and their ratings of a small
# set of movies
critics={'Lisa Rose': {'Lady in the Water': 2.5, 'Snakes on a Plane': 3.5,
'Just My Luck': 3.0, 'Superman Returns': 3.5, 'You, Me and Dupree'... |
6,321 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<p><font size="6"><b>CASE - Bacterial resistance experiment</b></font></p>
© 2021, Joris Van den Bossche and Stijn Van Hoey (jorisvanden... | Python Code:
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
Explanation: <p><font size="6"><b>CASE - Bacterial resistance experiment</b></font></p>
© 2021, Joris Van den Bossche and Stijn Van Hoey (jorisvandenbossc&... |
6,322 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Regression Week 3
Step1: Next we're going to write a polynomial function that takes an SArray and a maximal degree and returns an SFrame with columns containing the SArray to all the powers... | Python Code:
import graphlab
Explanation: Regression Week 3: Assessing Fit (polynomial regression)
In this notebook you will compare different regression models in order to assess which model fits best. We will be using polynomial regression as a means to examine this topic. In particular you will:
* Write a function t... |
6,323 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<!--NAVIGATION-->
< Setting Up | Contents | Rates Information >
Understanding the Documentations
In order to make use of the API effective, we need to understand the input parameters and the... | Python Code:
import oandapyV20
from oandapyV20 import API
import oandapyV20.endpoints.pricing as pricing
Explanation: <!--NAVIGATION-->
< Setting Up | Contents | Rates Information >
Understanding the Documentations
In order to make use of the API effective, we need to understand the input parameters and the correspondi... |
6,324 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Generate a left cerebellum volume source space
Generate a volume source space of the left cerebellum and plot its vertices
relative to the left cortical surface source space and the freesurf... | Python Code:
# Author: Alan Leggitt <alan.leggitt@ucsf.edu>
#
# License: BSD (3-clause)
import mne
from mne import setup_source_space, setup_volume_source_space
from mne.datasets import sample
print(__doc__)
data_path = sample.data_path()
subjects_dir = data_path + '/subjects'
subject = 'sample'
aseg_fname = subjects_d... |
6,325 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
The previous Notebook in this series used multi-group mode to perform a calculation with previously defined cross sections. However, in many circumstances the multi-group data is not given ... | Python Code:
import matplotlib.pyplot as plt
import numpy as np
import os
import openmc
%matplotlib inline
Explanation: The previous Notebook in this series used multi-group mode to perform a calculation with previously defined cross sections. However, in many circumstances the multi-group data is not given and one mu... |
6,326 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Preconfigured Energy Balance Models
In this document the basic use of climlab's preconfigured EBM class is shown.
Contents are how to
setup an EBM model
show and access subprocesses
integra... | Python Code:
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
import climlab
from climlab import constants as const
Explanation: Preconfigured Energy Balance Models
In this document the basic use of climlab's preconfigured EBM class is shown.
Contents are how to
setup an EBM model
show and access ... |
6,327 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Integrate Ray AIR with Feast feature store
Step1: In this example, we showcase how to use Ray AIR with Feast feature store, leveraging both historical features for training a model and onli... | Python Code:
# !pip install feast==0.20.1 ray[air]>=1.13 xgboost_ray
Explanation: Integrate Ray AIR with Feast feature store
End of explanation
import os
WORKING_DIR = os.path.expanduser("~/ray-air-feast-example/")
%env WORKING_DIR=$WORKING_DIR
! mkdir -p $WORKING_DIR
! wget --no-check-certificate https://github.com/ra... |
6,328 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Appendix B
Step1: Combining cross_fields and best_fields
Based on previous tuning, we have the following optimal parameters for each multi_match query type.
Step2: We've seen the process t... | Python Code:
%load_ext autoreload
%autoreload 2
import importlib
import os
import sys
from elasticsearch import Elasticsearch
from skopt.plots import plot_objective
# project library
sys.path.insert(0, os.path.abspath('..'))
import qopt
importlib.reload(qopt)
from qopt.notebooks import evaluate_mrr100_dev, optimize_que... |
6,329 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
ApJdataFrames Malo et al. 2014
Title
Step1: Table 1 - Target Information for Ophiuchus Sources | Python Code:
import warnings
warnings.filterwarnings("ignore")
from astropy.io import ascii
import pandas as pd
Explanation: ApJdataFrames Malo et al. 2014
Title: BANYAN. III. Radial velocity, Rotation and X-ray emission of low-mass star candidates in nearby young kinematic groups
Authors: Malo L., Artigau E., Doyon R.... |
6,330 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<a href='http
Step1: Read Salaries.csv as a dataframe called sal.
Step2: Check the head of the DataFrame.
Step3: Use the .info() method to find out how many entries there are.
Step4: Wha... | Python Code:
import pandas as pd
Explanation: <a href='http://www.pieriandata.com'> <img src='../../Pierian_Data_Logo.png' /></a>
SF Salaries Exercise - Solutions
Welcome to a quick exercise for you to practice your pandas skills! We will be using the SF Salaries Dataset from Kaggle! Just follow along and complete the ... |
6,331 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Responses for Chandra/HETG
Let's see if we can figure out responses for the Chandra/HETG. This notebook will require sherpa, because we're using this for comparison purposes!
Step1: Let's l... | Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
try:
import seaborn as sns
except ImportError:
print("No seaborn installed. Oh well.")
import numpy as np
import pandas as pd
import astropy.io.fits as fits
import sherpa.astro.ui as ui
import astropy.modeling.models as models
from astropy.mo... |
6,332 | 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', 'csir-csiro', 'vresm-1-0', 'aerosol')
Explanation: ES-DOC CMIP6 Model Properties - Aerosol
MIP Era: CMIP6
Institute: CSIR-CSIRO
Source ID: VRESM-1-0
Topic: Aerosol
Sub-Topics: Transpor... |
6,333 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Piecewise exponential models and creating custom models
This section will be easier if we recall our three mathematical "creatures" and the relationships between them. First is the survival ... | Python Code:
%matplotlib inline
%config InlineBackend.figure_format = 'retina'
from matplotlib import pyplot as plt
import numpy as np
import pandas as pd
from lifelines.datasets import load_waltons
waltons = load_waltons()
T, E = waltons['T'], waltons['E']
from lifelines import ExponentialFitter
fig, ax = plt.subplots... |
6,334 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Plotting sensor layouts of EEG Systems
This example illustrates how to load all the EEG system montages
shipped in MNE-python, and display it on fsaverage template.
Step1: check all montage... | Python Code:
# Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Joan Massich <mailsik@gmail.com>
#
# License: BSD Style.
from mayavi import mlab
import os.path as op
import mne
from mne.channels.montage import get_builtin_montages
from mne.datasets import fetch_fsaverage
from mne.viz import plot_ali... |
6,335 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Install Misopy
Step1: Restart the kernel (Kernel -> Restart), so that IPython finds Misopy
Get Samtools
Step2: The samtools binary should now be in bin/samtools
Generate Indices of the bam... | Python Code:
!pip install --user --quiet misopy
Explanation: Install Misopy
End of explanation
from urllib import urlretrieve
urlretrieve("http://depot.galaxyproject.org/package/linux/x86_64/samtools/samtools-0.1.19-Linux-x86_64.tgz","samtools.tgz")
!tar -xf samtools.tgz
Explanation: Restart the kernel (Kernel -> Resta... |
6,336 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
seaborn.countplot
Bar graphs are useful for displaying relationships between categorical data and at least one numerical variable. seaborn.countplot is a barplot where the dependent variable... | Python Code:
%matplotlib inline
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
plt.rcParams['figure.figsize'] = (20.0, 10.0)
plt.rcParams['font.family'] = "serif"
df = pd.read_csv('../../datasets/movie_metadata.csv')
df.head()
Explanation: seaborn.countplot
Bar graphs are u... |
6,337 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Name
Data preparation by using a template to submit a job to Cloud Dataflow
Labels
GCP, Cloud Dataflow, Kubeflow, Pipeline
Summary
A Kubeflow Pipeline component to prepare data by using a te... | Python Code:
%%capture --no-stderr
!pip3 install kfp --upgrade
Explanation: Name
Data preparation by using a template to submit a job to Cloud Dataflow
Labels
GCP, Cloud Dataflow, Kubeflow, Pipeline
Summary
A Kubeflow Pipeline component to prepare data by using a template to submit a job to Cloud Dataflow.
Details
Inte... |
6,338 |
Given the following text problem statement, write Python code to implement the functionality described below in problem statement
Problem:
Clustering Data Using K-Means
| Python Code::
from sklearn.cluster import KMeans
# Step 1: Initalise kmeans clustering model for 5 clusters and
# fit on training data
k_means = KMeans(n_clusters=5,
random_state=101)
k_means.fit(X_train)
# Step 2: Predict cluster for training and test data and add results
# as a column to the respect... |
6,339 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
WT-Übung 2 - Aufgabe 7b
Ein Schimpanse hat zwei Urnen vor sich
Step1: Simulation
Es werden $N$ zufällige Spiele durchgeführt und ausgewertet. Dabei werden die absoluten Häufigkeiten der (In... | Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
from random import random, choice
# Kugeln (Werte erstmal unwichtig)
black, red, green, white = 0, 1, 2, 7
# Urnen
kugeln_urne1 = [white, white, white, black, black]
kugeln_urne2 = [white, green, green, red, red]
# Wkeiten
p_urne1 = 0.7
p_urne2 = 0.3 ... |
6,340 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Visualize channel over epochs as an image
This will produce what is sometimes called an event related
potential / field (ERP/ERF) image.
2 images are produced. One with a good channel and on... | Python Code:
# Authors: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
#
# License: BSD (3-clause)
import numpy as np
import matplotlib.pyplot as plt
import mne
from mne import io
from mne.datasets import sample
print(__doc__)
data_path = sample.data_path()
Explanation: Visualize channel over epochs as an... |
6,341 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Feature Visualizer
This notebook provides examples of visualizations done in other data studies and modifies them using the Yellowbrick library
The first set of examples comes from the blog ... | Python Code:
import os
import sys
# Modify the path
sys.path.append("..")
import pandas as pd
import yellowbrick as yb
import matplotlib.pyplot as plt
g = yb.anscombe()
Explanation: Feature Visualizer
This notebook provides examples of visualizations done in other data studies and modifies them using the Yellowbrick... |
6,342 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
ds1
Step1: <br>
<br>
<br>
<br>
Step2: Analyse versch. Datasets, Onset Frames, 441 Samples / Frame = 100 Hz
format
Step3: conclusions (dataset 2, 100 Hz frames) | Python Code:
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
# bound = int(len(X)*0.8)
# X_train = X[:bound, :]
# X_test = X[bound:, :]
# y_train = y[:bound]
# y_test = y[bound:]
print(X_train.shape)
print(y_train.shape)
print(X_test.shape)
print(y_test.shape)
ss = StandardScal... |
6,343 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Seismic acquisition fiddling
The idea is to replicate what we've done so far but with 3 enhancements
Step5: Survey object
Step6: Perhaps s and r should be objects too. I think you might wa... | Python Code:
import numpy as np
import matplotlib.pyplot as plt
from shapely.geometry import Point, LineString
import geopandas as gpd
import pandas as pd
from fiona.crs import from_epsg
%matplotlib inline
Explanation: Seismic acquisition fiddling
The idea is to replicate what we've done so far but with 3 enhancements:... |
6,344 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Elemento LinearTriangle
El elemento LinearTriangle es un elemento finito bidimensional con coordenadas locales y globales, caracterizado por una función de forma lineal. Puede ser utilizado ... | Python Code:
%matplotlib inline
from nusa import *
Explanation: Elemento LinearTriangle
El elemento LinearTriangle es un elemento finito bidimensional con coordenadas locales y globales, caracterizado por una función de forma lineal. Puede ser utilizado para problemas de esfuerzo y deformación plana. Este elemento tien... |
6,345 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Identifikation wertloser Codeteile im Projekt "Spring PetClinic"
Auslastungsdaten vom Produktivbetrieb
Datenquelle
Step1: Berechnung wesentlicher Metriken für Größe und Nutzungsgrad
Step2: ... | Python Code:
import pandas as pd
coverage = pd.read_csv("../dataset/jacoco_production_coverage_spring_petclinic.csv")
coverage.head()
Explanation: Identifikation wertloser Codeteile im Projekt "Spring PetClinic"
Auslastungsdaten vom Produktivbetrieb
Datenquelle: Gemessen wurde der Anwendungsbetrieb der Software über ei... |
6,346 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Stochastic Gradient Descent l
That is a simple yet very efficient approach to discriminative learning of linear classifiers under convex loss function such as(linear) Support Vector Machine ... | Python Code:
from sklearn.linear_model import SGDClassifier
X = [[0, 0], [1, 1]]
y = [0, 1]
clf = SGDClassifier(loss='hinge', penalty='l2')
clf.fit(X, y)
clf.predict([[2., 2.]])
clf.coef_
#To get the signed distance to the hyperplane
clf.decision_function([[2., 2.]])
Explanation: Stochastic Gradient Descent l
That is a... |
6,347 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Learning Machines
Taught by Patrick Hebron at NYU/ITP, Fall 2017
TensorFlow Basics
Step1: Now let's try to do the same thing using TensorFlow
Step2: Where's the resulting value?
Notice tha... | Python Code:
# Create input constants:
X = 2.0
Y = 3.0
# Perform addition:
Z = X + Y
# Print output:
print Z
Explanation: Learning Machines
Taught by Patrick Hebron at NYU/ITP, Fall 2017
TensorFlow Basics: "Graphs and Sessions"
Let's look at a simple arithmetic procedure in pure Python:
End of explanation
# Import Tens... |
6,348 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Copyright 2018 The TensorFlow Hub Authors.
Licensed under the Apache License, Version 2.0 (the "License");
Step1: 如何使用 DELF 和 TensorFlow Hub 匹配图像
<table class="tfo-notebook-buttons" align="... | Python Code:
# Copyright 2018 The TensorFlow Hub Authors. All Rights Reserved.
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... |
6,349 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Modeling the Detectability of a Population of Transients
A common LSST science case is to detect a large sample of some family of transient objects for further study. A good proxy for a sci... | Python Code:
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
import lsst.sims.maf.db as db
import lsst.sims.maf.utils as utils
import lsst.sims.maf.metrics as metrics
import lsst.sims.maf.slicers as slicers
import lsst.sims.maf.metricBundles as metricBundles
from lsst.sims.utils import equatorialF... |
6,350 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Last edit by David Lao - 2017/12/12
<br>
<br>
Netflix Analytics - Movie Recommendation through Correlations
<br>
I love Netflix!
This project aims to build a movie recommendation mechanism w... | Python Code:
import pandas as pd
import numpy as np
import math
import re
from scipy.sparse import csr_matrix
import matplotlib.pyplot as plt
import seaborn as sns
from surprise import Reader, Dataset, SVD, evaluate
sns.set_style("darkgrid")
Explanation: Last edit by David Lao - 2017/12/12
<br>
<br>
Netflix Analytics -... |
6,351 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Ferrofluid - Part 2
Table of Contents
Applying an external magnetic field
Magnetization curve
Remark
Step1: and set up the simulation parameters where we introduce a new dimensionless param... | Python Code:
import espressomd
espressomd.assert_features('DIPOLES', 'LENNARD_JONES')
from espressomd.magnetostatics import DipolarP3M
from espressomd.magnetostatic_extensions import DLC
import numpy as np
Explanation: Ferrofluid - Part 2
Table of Contents
Applying an external magnetic field
Magnetization curve
Remark:... |
6,352 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<img src="images/logo.jpg" style="display
Step1: <p style="text-align
Step2: <p style="text-align
Step3: <p style="text-align
Step4: <span style="text-align
Step5: <p style="text-align
... | Python Code:
shoes_in_my_drawer = int(input("How many shoes do you have in your drawer? "))
if shoes_in_my_drawer % 2 == 1:
print("You have an odd number of shoes. Something is wrong!")
Explanation: <img src="images/logo.jpg" style="display: block; margin-left: auto; margin-right: auto;" alt="לוגו של מיזם לימוד הפי... |
6,353 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Bad posterior geometry and how to deal with it
HMC and its variant NUTS use gradient information to draw (approximate) samples from a posterior distribution.
These gradients are computed in... | Python Code:
!pip install -q numpyro@git+https://github.com/pyro-ppl/numpyro
from functools import partial
import numpy as np
import jax.numpy as jnp
from jax import random
import numpyro
import numpyro.distributions as dist
from numpyro.diagnostics import summary
from numpyro.infer import MCMC, NUTS
assert numpyro.__v... |
6,354 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Plot Emission Measure Distributions
Compute and plot emission measure distributions, $\mathrm{EM}(T)$ for the EBTEL and HYDRAD results for varying pulse duration $\tau$.
Step1: First, load ... | Python Code:
import os
import sys
import pickle
import numpy as np
from scipy.optimize import curve_fit
import seaborn.apionly as sns
import matplotlib.pyplot as plt
from matplotlib import ticker
sys.path.append(os.path.join(os.environ['EXP_DIR'],'EBTEL_analysis/src'))
import em_binner as emb
%matplotlib inline
plt.rcP... |
6,355 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<a href="https
Step1: Step 1
Step2: <div class ="alert alert-success">As we can see in the above diagram, a lot of new relates to Politics and its related items. Also we can understand a t... | Python Code:
## required installation for LDA visualization
!pip install pyLDAvis
## imports
import numpy as np
import pandas as pd
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.decomposition import LatentDirichletAllocation
import m... |
6,356 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Eaton & Ree (2013) single-end RAD data set
Here we demonstrate a denovo assembly for an empirical RAD data set using the ipyrad Python API. This example was run on a workstation with 20 core... | Python Code:
## conda install ipyrad -c ipyrad
## conda install toytree -c eaton-lab
## conda install sra-tools -c bioconda
## imports
import ipyrad as ip
import ipyrad.analysis as ipa
import ipyparallel as ipp
Explanation: Eaton & Ree (2013) single-end RAD data set
Here we demonstrate a denovo assembly for an empirica... |
6,357 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Project Euler
Step1: Below are the lists I created that will help me narrow my search. I created the list called search because the key was only allowed to contain 3 lower case letters. Nex... | Python Code:
ciphertxt = open('cipher.txt', 'r')
cipher = ciphertxt.read().split(',') #Splits the ciphertxt into a list, splits at every ,
cipher = [int(i) for i in cipher]
ciphertxt.close()
Explanation: Project Euler: Problem 59
https://projecteuler.net/problem=59
Each character on a computer is assigned a unique code... |
6,358 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Using Nipype with Amazon Web Services (AWS)
Several groups have been successfully using Nipype on AWS. This procedure
involves setting a temporary cluster using StarCluster and potentially
t... | Python Code:
from nipype.interfaces.io import DataSink
ds = DataSink()
ds.inputs.base_directory = 's3://mybucket/path/to/output/dir'
Explanation: Using Nipype with Amazon Web Services (AWS)
Several groups have been successfully using Nipype on AWS. This procedure
involves setting a temporary cluster using StarCluster a... |
6,359 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Generate some validation videos random, download them from the server and then use them to visualize the results.
Step1: Load the trained model with its weigths
Step2: Extract the predicti... | Python Code:
import random
import os
import numpy as np
from work.dataset.activitynet import ActivityNetDataset
dataset = ActivityNetDataset(
videos_path='../dataset/videos.json',
labels_path='../dataset/labels.txt'
)
videos = dataset.get_subset_videos('validation')
videos = random.sample(videos, 8)
examples = ... |
6,360 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
JVM Thread Dump Analysis
Goal
Step1: Get Data
Dumps generated every 2 minutes and saved in one single file. Period
Step2: Thread State by Date
Problem
Step3: Average of Threads by Hour
Pr... | Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
import numpy as np
import pandas as pd
plt.style.use('seaborn')
from sklearn.decomposition import PCA
from sklearn.mixture import GaussianMixture
from mpl_toolkits.mplot3d import Axes3D
import jvmthreadparser.pa... |
6,361 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
因为需要全市场回测所以本章无法使用沙盒数据，《量化交易之路》中的原始示例使用的是美股市场，这里的示例改为使用A股市场。
本节建议对照阅读abu量化文档第20-23节内容
本节的基础是在abu量化文档中第20节内容完成运行后有A股训练集交易和A股测试集交易数据之后
abu量化系统github地址 (您的star是我的动力！)
abu量化文档教程ipython notebook
第... | Python Code:
from abupy import AbuFactorAtrNStop, AbuFactorPreAtrNStop, AbuFactorCloseAtrNStop, AbuFactorBuyBreak
from abupy import abu, EMarketTargetType, AbuMetricsBase, ABuMarketDrawing, ABuProgress, ABuSymbolPd
from abupy import EMarketTargetType, EDataCacheType, EMarketSourceType, EMarketDataFetchMode, EStoreAbu, ... |
6,362 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
RNN Sentiment Classifier
In the previous lab, you built a tweet sentiment classifier based on Bag-Of-Words features. Now we ask you to improve this model by representing it as a sequence of ... | Python Code:
import tensorflow as tf
import cPickle as pickle
from collections import defaultdict
import re, random
import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
#Read data and do preprocessing
def read_data(fn):
with open(fn) as f:
data = pickle.load(f)
#Clean the ... |
6,363 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
数据清洗
删除空评论
删除评论中的空格，逗号，波浪线，换行
Step1: 用百度AI分析
```python
from aip import AipNlp
https | Python Code:
df1=data_train.drop(index=(data_train.loc[(data_train["评价内容"].isnull())].index))
df1["评价内容"]=df1["评价内容"].str.replace(" ","").str.replace("，","").str.replace("~","").str.replace("\n","")
df1["分析"]=" "
Explanation: 数据清洗
删除空评论
删除评论中的空格，逗号，波浪线，换行
End of explanation
df1["prop"]=""
df1["adj"]=""
df1["sentiment"]... |
6,364 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<h1> Preprocessing using Dataflow </h1>
This notebook illustrates
Step1: Kindly ignore the deprecation warnings and incompatibility errors related to google-cloud-storage.
Step2: NOTE
Step... | Python Code:
!sudo chown -R jupyter:jupyter /home/jupyter/training-data-analyst
!pip install --user google-cloud-bigquery==1.25.0
Explanation: <h1> Preprocessing using Dataflow </h1>
This notebook illustrates:
<ol>
<li> Creating datasets for Machine Learning using Dataflow
</ol>
<p>
While Pandas is fine for experimenti... |
6,365 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Load data
Predict the california average house value
Step1: Model with the recommendation of the cheat-sheet
- Based on the Sklearn algorithm cheat-sheet
Step2: Improve the model parametri... | Python Code:
from sklearn import datasets
all_data = datasets.california_housing.fetch_california_housing()
# Describe dataset
print(all_data.DESCR)
print(all_data.feature_names)
# Print some data lines
print(all_data.data[:10])
print(all_data.target)
#Randomize, normalize and separate train & test
from sklearn.utils i... |
6,366 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Detached Binary
Step1: As always, let's do imports and initialize a logger and a new bundle. See Building a System for more details.
Step2: Adding Datasets
Now we'll create an empty mesh ... | Python Code:
!pip install -I "phoebe>=2.1,<2.2"
%matplotlib inline
Explanation: Detached Binary: Roche vs Rotstar
Setup
Let's first make sure we have the latest version of PHOEBE 2.1 installed. (You can comment out this line if you don't use pip for your installation or don't want to update to the latest release).
End ... |
6,367 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Step1: Language Translation
In this project, you’re going to take a peek into the realm of neural network machine translation. You’ll be training a sequence to sequence model on a dataset o... | Python Code:
DON'T MODIFY ANYTHING IN THIS CELL
import helper
import problem_unittests as tests
source_path = 'data/small_vocab_en'
target_path = 'data/small_vocab_fr'
source_text = helper.load_data(source_path)
target_text = helper.load_data(target_path)
Explanation: Language Translation
In this project, you’re going ... |
6,368 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<font color="red" size="6"><b>Programmation dynamique</b></font>
<font color="blue" size="5"><b>I Fibonacci récursif naïf</b></font>
Step1: Que constatez vous ???
Step2: hmmm.... pas fameu... | Python Code:
# 1 1 2 3 5 8 13 21 39 ...
# codez la fonction FiboRec (avec une fonction récursive)
def FiboRec(n) :
if n <=2 : return 1
return FiboRec(n-1)+FiboRec(n-2)
for i in range(1,40) : print(i,FiboRec(i))
Explanation: <font color="red" size="6"><b>Programmation dynamique</b></font>
<font color="blue" size... |
6,369 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Modeling data involves using observed datapoints to try to make a more general description of patterns that we see. It can be useful to describe the trajectory of a neuron's behavior in time... | Python Code:
# Load data and pull out important values
data = si.loadmat('../../data/StevensonV2.mat')
# Only keep x, y dimensions, transpose to (trials, dims)
hand_vel = data['handVel'][:2].T
hand_pos = data['handPos'][:2].T
# (neurons, trials)
spikes = data['spikes']
# Remove all times where speeds are very slow
thre... |
6,370 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Diffusion Monte Carlo propagators
Most of the equations taken from Chapter 24 ("Projector quantum Monte Carlo") in "Interacting Electrons" (2016) by R.M. Martin, L. Reining, and D.M. Ceperle... | Python Code:
T_op = Symbol('That') # Kinetic energy operator
V_op = Symbol('Vhat') # Potential energy operator
tau = Symbol('tau') # Projection time
n = Symbol('n',isinteger=True) # Number of timestep divisions
dt = Symbol(r'\Delta\tau') # Time for individual timestep
# Eq. 24.7
Eq(exp(-tau *(T_op + V_op)),
... |
6,371 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
SMA ROC Portfolio
1. The Security is above its 200-day moving average
2. The Security closes with sma_roc > 0, buy.
3. If the Security closes with sma_roc < 0, sell your long position.... | Python Code:
import datetime
import matplotlib.pyplot as plt
import pandas as pd
import pinkfish as pf
import strategy
# Format price data.
pd.options.display.float_format = '{:0.2f}'.format
pd.set_option('display.max_rows', None)
%matplotlib inline
# Set size of inline plots
'''note: rcParams can't be in same cell as ... |
6,372 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
ES-DOC CMIP6 Model Properties - Landice
MIP Era
Step1: Document Authors
Set document authors
Step2: Document Contributors
Specify document contributors
Step3: Document Publication
Specify... | Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'pcmdi', 'sandbox-3', 'landice')
Explanation: ES-DOC CMIP6 Model Properties - Landice
MIP Era: CMIP6
Institute: PCMDI
Source ID: SANDBOX-3
Topic: Landice
Sub-Topics: Glaciers, Ice.
Pr... |
6,373 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Vertex SDK
Step1: Install the latest GA version of google-cloud-storage library as well.
Step2: Restart the kernel
Once you've installed the additional packages, you need to restart the no... | Python Code:
import os
# Google Cloud Notebook
if os.path.exists("/opt/deeplearning/metadata/env_version"):
USER_FLAG = "--user"
else:
USER_FLAG = ""
! pip3 install --upgrade google-cloud-aiplatform $USER_FLAG
Explanation: Vertex SDK: AutoML training video classification model for batch prediction
<table align=... |
6,374 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Natural Language Processing - Text Mining with Twitter API
Introduction
Using Natural Language Processing we can extract relevant and insightful data from social media. In this demonstration... | Python Code:
#Import the necessary methods from tweepy library
from tweepy.streaming import StreamListener
from tweepy import OAuthHandler
from tweepy import Stream
access_token = "Access Token"
access_token_secret = "Access Token Secret"
consumer_key = "Consumer Key"
consumer_secret = "Consumer Secret"
class StdOutL... |
6,375 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Decision Analysis
Think Bayes, Second Edition
Copyright 2020 Allen B. Downey
License
Step1: This chapter presents a problem inspired by the game show The Price is Right.
It is a silly examp... | Python Code:
# If we're running on Colab, install empiricaldist
# https://pypi.org/project/empiricaldist/
import sys
IN_COLAB = 'google.colab' in sys.modules
if IN_COLAB:
!pip install empiricaldist
# Get utils.py
from os.path import basename, exists
def download(url):
filename = basename(url)
if not exists(... |
6,376 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Compare photometry in the new Stripe82 catalog
to Gaia DR2 photometry and derive corrections for
gray systematics using Gmag photometry
input
Step1: <a id='dataReading'></a>
Define paths a... | Python Code:
%matplotlib inline
from astropy.table import Table
from astropy.coordinates import SkyCoord
from astropy import units as u
from astropy.table import hstack
import matplotlib.pyplot as plt
import numpy as np
from astroML.plotting import hist
# for astroML installation see https://www.astroml.org/user_guide... |
6,377 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
An Introduction to Redis with Python
In this notebook, we will go thourhg a similar set of commands as those described in the Redis Data Types introduction but using the redis-py Python clie... | Python Code:
import redis
Explanation: An Introduction to Redis with Python
In this notebook, we will go thourhg a similar set of commands as those described in the Redis Data Types introduction but using the redis-py Python client from a Jupyter notebook.
Remember that Redis is a server, and it can be access in a di... |
6,378 | Given the following text problem statement, write Python code to implement the functionality described below in problem statement
Problem:
So in numpy arrays there is the built in function for getting the diagonal indices, but I can't seem to figure out how to get the diagonal starting from the top right rather than to... | Problem:
import numpy as np
a = np.array([[ 0, 1, 2, 3, 4, 5],
[ 5, 6, 7, 8, 9, 10],
[10, 11, 12, 13, 14, 15],
[15, 16, 17, 18, 19, 20],
[20, 21, 22, 23, 24, 25]])
result = np.diag(np.fliplr(a)) |
6,379 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Ejercicios 7
El Web Scraping (o Scraping) son un conjunto de técnicas que se utilizan para obtener de forma automática el contenido que hay en páginas web a través de su código HTML.
Las té... | Python Code:
import requests
url = "https://es.wikipedia.org/wiki/Anexo:Municipios_de_la_Comunidad_de_Madrid"
# Realizamos la petición HTTP a la web
req = requests.get(url)
# Comprobamos que la petición nos devuelve un Status Code = 200
statusCode = req.status_code
if statusCode == 200:
print('La petición ha ido bi... |
6,380 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
고유분해와 특이값 분해
정방 행렬 $A$에 대해 다음 식을 만족하는 단위 벡터 $v$, 스칼라 $\lambda$을 여러 개 찾을 수 있다.
$$ Av = \lambda v $$
$ A \in \mathbf{R}^{M \times M} $
$ \lambda \in \mathbf{R} $
$ v \in \mathbf{R}^{M} $
이러한 실... | Python Code:
w, V = np.linalg.eig(np.array([[1, -2], [2, -3]]))
w
V
Explanation: 고유분해와 특이값 분해
정방 행렬 $A$에 대해 다음 식을 만족하는 단위 벡터 $v$, 스칼라 $\lambda$을 여러 개 찾을 수 있다.
$$ Av = \lambda v $$
$ A \in \mathbf{R}^{M \times M} $
$ \lambda \in \mathbf{R} $
$ v \in \mathbf{R}^{M} $
이러한 실수 $\lambda$를 고유값(eigenvalue), 단위 벡터 $v$ 를 고유벡터(ei... |
6,381 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
In this example, we use the Google geocoding API to translate addresses into geo-coordinates. Google imposes usages limits on the API. If you are using this script to index data, you many ne... | Python Code:
from geopy.geocoders import GoogleV3
geolocator = GoogleV3()
# geolocator = GoogleV3(api_key=<your_google_api_key>)
Explanation: In this example, we use the Google geocoding API to translate addresses into geo-coordinates. Google imposes usages limits on the API. If you are using this script to index data,... |
6,382 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Anomaly Detection in HTTP Logs
This sample notebook demonstrates working with HTTP request logs data stored in BigQuery.
Google Cloud Logging in the Google Cloud Platform makes it simple to ... | Python Code:
from __future__ import division
import google.datalab.bigquery as bq
import matplotlib.pyplot as plot
import numpy as np
Explanation: Anomaly Detection in HTTP Logs
This sample notebook demonstrates working with HTTP request logs data stored in BigQuery.
Google Cloud Logging in the Google Cloud Platform ma... |
6,383 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Source localization with equivalent current dipole (ECD) fit
This shows how to fit a dipole
Step1: Let's localize the N100m (using MEG only)
Step2: Plot the result in 3D brain with the MR... | Python Code:
from os import path as op
import numpy as np
import matplotlib.pyplot as plt
import mne
from mne.forward import make_forward_dipole
from mne.evoked import combine_evoked
from mne.simulation import simulate_evoked
from nilearn.plotting import plot_anat
from nilearn.datasets import load_mni152_template
data_... |
6,384 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Ordinary Differential Equations Exercise 1
Imports
Step2: Euler's method
Euler's method is the simplest numerical approach for solving a first order ODE numerically. Given the differential ... | Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
from scipy.integrate import odeint
from IPython.html.widgets import interact, fixed
Explanation: Ordinary Differential Equations Exercise 1
Imports
End of explanation
np.zeros?
def solve_euler(derivs, y0, x):
So... |
6,385 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Homework 1
Due Wednesday, September 2 by 2
Step1: Question 1
Pick a graph from Spurious Correlations and recreate it using
matplotlib, numpy and pandas. For whichever graph you choose, save... | Python Code:
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
%matplotlib inline
Explanation: Homework 1
Due Wednesday, September 2 by 2:00 PM. Submit via email.
Some helpful setup code. Feel free to add whatever else you might need.
End of explanation
# Code here
Explanation: Question 1
Pick a gr... |
6,386 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Lecture 22
Step1: By far, we'll use the plt object from the second import the most; that contains the main plotting library.
Plotting in a script
Let's say you're coding a standalone Python... | Python Code:
import matplotlib as mpl
import matplotlib.pyplot as plt
Explanation: Lecture 22: Data Visualization
CSCI 1360: Foundations for Informatics and Analytics
Overview and Objectives
Data visualization is one of, if not the, most important method of communicating data science results. It's analogous to writing:... |
6,387 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Copyright 2021 The TF-Agents Authors.
Step1: CheckpointerとPolicySaver
<table class="tfo-notebook-buttons" align="left">
<td> <a target="_blank" href="https
Step2: DQNエージェント
前のColabと同... | 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... |
6,388 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Using GraphvizAnim to show how heapsort works
Import the required packages and instantiate the animation
Step1: Define an heap
Step2: Now draw it (nodes will be named as the array indices ... | Python Code:
from gvanim import Animation
from gvanim.jupyter import interactive
ga = Animation()
Explanation: Using GraphvizAnim to show how heapsort works
Import the required packages and instantiate the animation
End of explanation
heap = [ None, 5, 6, 7, 8, 9, 10, 11, 12 ]
Explanation: Define an heap
End of explana... |
6,389 | Given the following text description, write Python code to implement the functionality described.
Description:
Given a positive integer n, return the count of the numbers of n-digit
positive integers that start or end with 1.
| Python Code:
def starts_one_ends(n):
if n == 1: return 1
return 18 * (10 ** (n - 2)) |
6,390 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Wind Structure Calculator
This Python module provides a number of simple calculators with which the structure of line-driven winds can be determined following different analytic approaches. ... | Python Code:
mstar = 52.5 # mass; if no astropy units are provided, the calculators will assume units of solar masses
lstar = 1e6 # luminosity; if no astropy units are provided, the calculators will assume units of solar luminosities
teff = 4.2e4 # effective temperature; if no astropy units are provided, the calcula... |
6,391 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
PySAL Change Log Statistics
This notebook pulls the summary statistics for use in the 6-month releases of PySAL, which is now (2017-07) a meta package.
It assumes the subpackages have been ... | Python Code:
from __future__ import print_function
import os
import json
import re
import sys
import pandas
from datetime import datetime, timedelta
from time import sleep
from subprocess import check_output
try:
from urllib import urlopen
except:
from urllib.request import urlopen
import ssl
import yaml
contex... |
6,392 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Step1: Things go wrong when programming all the time. Some of these "problems" are errors that stop the program from making sense. Others are problems that stop the program from working in s... | Python Code:
from __future__ import division
def divide(numerator, denominator):
Divide two numbers.
Parameters
----------
numerator: float
numerator
denominator: float
denominator
Returns
-------
fraction: float
numerator / denominato... |
6,393 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<img src="http
Step1: La senyal del so
Si recordeu un exemple anterior, la funció sound ens retorna un valor entre 0 i 100, segons la intensitat del so. Anem a provar-la de nou, però repres... | Python Code:
from functions import connect, sound, forward, stop
connect()
Explanation: <img src="http://cdn.shopify.com/s/files/1/0059/3932/products/Aldebaran_Robotics_Nao_Humanoid_Robot_07_d2010cf6-cff3-468b-82c4-e2c7cfa6df9b.jpg?v=1439318386" align="right" width=200>
Sensor de so (micròfon)
El micròfon del robot det... |
6,394 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Document AI Form Parser (async)
This notebook shows you how to analyze a set pdfs using the Google Cloud DocumentAI API asynchronously.
Step1: Set your Processor Variables
Step3: The follo... | Python Code:
# Install necessary Python libraries and restart your kernel after.
!pip install -r ../requirements.txt
from google.cloud import documentai_v1beta3 as documentai
from google.cloud import storage
import os
import re
import pandas as pd
Explanation: Document AI Form Parser (async)
This notebook shows you how... |
6,395 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Previous
1.6 字典中的键映射多个值
问题
怎样实现一个键对应多个值的字典(也叫 multidict )？
解决方案
一个字典就是一个键对应一个单值的映射。如果你想要一个键映射多个值，那么你就需要将这多个值放到另外的容器中， 比如列表或者集合里面。比如，你可以像下面这样构造这样的字典：
Step1: 选择使用列表还是集合取决于你的实际需求。如果你想保持元素的插入顺序... | Python Code:
d = {
"a" : [1, 2, 3],
"b" : [4, 5]
}
e = {
"a" : {1, 2, 3},
"b" : {4, 5}
}
Explanation: Previous
1.6 字典中的键映射多个值
问题
怎样实现一个键对应多个值的字典(也叫 multidict )？
解决方案
一个字典就是一个键对应一个单值的映射。如果你想要一个键映射多个值，那么你就需要将这多个值放到另外的容器中， 比如列表或者集合里面。比如，你可以像下面这样构造这样的字典：
End of explanation
from collections import defaultdic... |
6,396 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
pyOpenCGA Basic User Usage
[NOTE] The server methods used by pyopencga client are defined in the following swagger URL
Step1: Now is time to import pyopencga modules.
You have two options
a... | Python Code:
# Initialize PYTHONPATH for pyopencga
import sys
import os
from pprint import pprint
Explanation: pyOpenCGA Basic User Usage
[NOTE] The server methods used by pyopencga client are defined in the following swagger URL:
- http://bioinfo.hpc.cam.ac.uk/opencga-demo/webservices
For tutorials and more info about... |
6,397 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Spark Context
Let's start with creating a SparkContext - an entry point to Spark application. Parameter 'local[*]' means that we create the Spark cluster locally using all machine cores. Nex... | Python Code:
import pyspark
sc = pyspark.SparkContext('local[*]')
# do something to prove it works
rdd = sc.parallelize(range(1000))
rdd.takeSample(False, 5)
Explanation: Spark Context
Let's start with creating a SparkContext - an entry point to Spark application. Parameter 'local[*]' means that we create the Spark clu... |
6,398 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Batch normalization
When changing the parameters of a model during the process of learning the distribition functions of each hidden layer are also changing. For that reason each layer needs... | Python Code:
def batchnormalization(X, eps=1e-8, W=None, b=None):
if X.get_shape().ndims == 4:
mean = tf.reduce_mean(X, [0,1,2])
standar_desviation = tf.reduce_mean(tf.square(X-mean), [0,1,2])
X = (X - mean) / tf.sqrt(standar_desviation + eps)
if W is not None and b is ... |
6,399 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Keras for Text Classification
Learning Objectives
1. Learn how to create a text classification datasets using BigQuery
1. Learn how to tokenize and integerize a corpus of text for training i... | Python Code:
import os
import pandas as pd
from google.cloud import bigquery
%load_ext google.cloud.bigquery
Explanation: Keras for Text Classification
Learning Objectives
1. Learn how to create a text classification datasets using BigQuery
1. Learn how to tokenize and integerize a corpus of text for training in Keras
... |
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