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12,600 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Introduction to Logistic Regression
Learning Objectives
Create Seaborn plots for Exploratory Data Analysis
Train a Logistic Regression Model using Scikit-Learn
Introduction
This lab is in i... | Python Code:
!sudo chown -R jupyter:jupyter /home/jupyter/training-data-analyst
import os
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
%matplotlib inline
Explanation: Introduction to Logistic Regression
Learning Objectives
Create Seaborn plots for Exploratory Data Analysi... |
12,601 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<h1 align="center">Mention Detection</h1>
<h4 align="center">Jiarui Xu - jxu57@illinois.edu</h4>
Step3: 1 Wikidata Alias
In this section, we use wikidata to build lexicon, if a n-gram exist... | Python Code:
import json
import pyprind
import sys
import pickle
data_folder = "/Volumes/backup/ccg_tweet_wikifier_data/"
wikidata_file = "/Volumes/backup/ccg_tweet_wikifier_data/wikidata/wikidata-20160404-all.json"
entity_alias_output_file = data_folder+"wikidata/entity_alias.txt"
from corenlp import *
corenlp = Stanf... |
12,602 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
MODICE v04 area by country, 2000-2014
Step1: Reorder columns, descending area
Use the first row of data to order the columns in descending area order
Step2: Get 1 and 2strike data also
Ste... | Python Code:
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
%pylab inline
filename = 'modice_v4_3strikes_by_country_by_yr.txt'
df3 = pd.read_csv( filename, delim_whitespace=True, index_col=0 )
df3
Explanation: MODICE v04 area by country, 2000-2014
End of explanation
sort... |
12,603 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Copyright 2019 The TensorFlow Authors.
Step1: 用 tf.data 加载 CSV 数据
<table class="tfo-notebook-buttons" align="left">
<td>
<a target="_blank" href="https
Step2: 加载数据
开始的时候，我们通过打印 CSV 文... | 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... |
12,604 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Components
We store our component functions inside the pp.components module. Each
function there returns a Component object
You can use dir or help over the pp.c module to see the all availa... | Python Code:
import pp
c = pp.c.mzi()
pp.qp(c)
c.ports
c = pp.c.ring_single_bus()
pp.qp(c)
Explanation: Components
We store our component functions inside the pp.components module. Each
function there returns a Component object
You can use dir or help over the pp.c module to see the all available
components.
Some of wh... |
12,605 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Bloques Faltantes
Busco el nombre de los bloques faltantes
Step1: Bloques Faltantes
Primero, veo si puedo sacar el bloque de los otros años
Step2: Scrapeo del Sitio de Senadores
Los bloque... | Python Code:
import difflib
import requests
import pandas as pd
from bs4 import BeautifulSoup
Explanation: Bloques Faltantes
Busco el nombre de los bloques faltantes
End of explanation
# Join de todos los otros años
csvs = ['../viajes_2012.csv', '../viajes_2015.csv', '../viajes_2016.csv', '../viajes_2017.csv']
for cnt,... |
12,606 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Combine a Matplotlib Basemap with IPython Widgets
This is an experiment in creating a Jupyter notebook showing a world map with different parameters (including map projection) by combining a... | Python Code:
# Make plots appear inline (inside the Jupyter notebook).
%matplotlib inline
import datetime
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap, supported_projections
from ipywidgets import interact, interact_manual, FloatSlider
Explanation: Combine a Matplotlib Bas... |
12,607 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Timestamps are contained in the Space Packet secondary header time code field. They are encoded as big-endian 32-bit integers counting the number of seconds elapsed since the J2000 epoch (20... | Python Code:
def timestamps(packets):
epoch = np.datetime64('2000-01-01T12:00:00')
t = np.array([struct.unpack('>I', p[ccsds.SpacePacketPrimaryHeader.sizeof():][:4])[0]
for p in packets], 'uint32')
return epoch + t * np.timedelta64(1, 's')
def load_frames(path):
frame_size = 223 * 5 - ... |
12,608 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<table align="left">
<td>
<a href="https
Step1: Restart the kernel
After you install the additional packages, you need to restart the notebook kernel so it can find the packages.
Step... | Python Code:
import os
# The Google Cloud Notebook product has specific requirements
IS_GOOGLE_CLOUD_NOTEBOOK = os.path.exists("/opt/deeplearning/metadata/env_version")
# Google Cloud Notebook requires dependencies to be installed with '--user'
USER_FLAG = ""
if IS_GOOGLE_CLOUD_NOTEBOOK:
USER_FLAG = "--user"
! pip3... |
12,609 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Aufgaben zur personal-Datenbank
Step1: Welcher Mitarbeiter steht in einer alphabetisch sortierten Liste an letzter Stelle? Es sollen die Mitarbeiternummer, der Nachname und der Vorname ange... | Python Code:
%load_ext sql
%sql mysql://steinam:steinam@localhost/personal
Explanation: Aufgaben zur personal-Datenbank
End of explanation
%%sql
select MNr, MName, MVorname from Mitarbeiter
order by MName desc limit 1;
Explanation: Welcher Mitarbeiter steht in einer alphabetisch sortierten Liste an letzter Stelle? Es ... |
12,610 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Exporting data from BigQuery to Google Cloud Storage
In this notebook, we export BigQuery data to GCS so that we can reuse our Keras model that was developed on CSV data.
Step1: Please igno... | Python Code:
!sudo chown -R jupyter:jupyter /home/jupyter/training-data-analyst
%pip install google-cloud-bigquery==1.25.0
Explanation: Exporting data from BigQuery to Google Cloud Storage
In this notebook, we export BigQuery data to GCS so that we can reuse our Keras model that was developed on CSV data.
End of explan... |
12,611 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Benchmarking MLDB
This notebook contains the code to run "The Absolute Minimum Benchmark" for a machine learning tool.
First we load the Python MLDB helper library
Step1: Next we create the... | Python Code:
from pymldb import Connection
mldb = Connection("http://localhost/")
Explanation: Benchmarking MLDB
This notebook contains the code to run "The Absolute Minimum Benchmark" for a machine learning tool.
First we load the Python MLDB helper library
End of explanation
mldb.put('/v1/procedures/import_bench_trai... |
12,612 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Plot point-spread functions (PSFs) and cross-talk functions (CTFs)
Visualise PSF and CTF at one vertex for sLORETA.
Step1: Visualize
PSF
Step2: CTF | Python Code:
# Authors: Olaf Hauk <olaf.hauk@mrc-cbu.cam.ac.uk>
# Alexandre Gramfort <alexandre.gramfort@inria.fr>
#
# License: BSD-3-Clause
import mne
from mne.datasets import sample
from mne.minimum_norm import (make_inverse_resolution_matrix, get_cross_talk,
get_point_spread)
p... |
12,613 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Introduction
This tutorial gives a short overview of the AD-module included in PorePy. For an example where the AD module has been used to solve non-linear compressible flow, see the tutoria... | Python Code:
import numpy as np
import scipy.sparse as sps
from porepy.numerics.ad.forward_mode import Ad_array
import porepy.numerics.ad.functions as af
Explanation: Introduction
This tutorial gives a short overview of the AD-module included in PorePy. For an example where the AD module has been used to solve non-line... |
12,614 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Markov decision processes (MDPs)
This IPy notebook acts as supporting material for topics covered in Chapter 17 Making Complex Decisions of the book Artificial Intelligence
Step1: CONTENTS
... | Python Code:
from mdp import *
from notebook import psource, pseudocode
Explanation: Markov decision processes (MDPs)
This IPy notebook acts as supporting material for topics covered in Chapter 17 Making Complex Decisions of the book Artificial Intelligence: A Modern Approach. We makes use of the implementations in mdp... |
12,615 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
interp-acf demo
Generate time series fluxes with two oscillation periods, and missing data
Step1: Now we'll use two interpacf methods on these simulated fluxes
Step2: Comparing with McQuil... | Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
# Make flux time-series with random noise, and
# two periodic oscillations, one 70% the amplitude
# of the other:
np.random.seed(42)
n_points = 1000
primary_period = 2.5*np.pi
secondary_period = 1.3*np.pi
all_times = np.linspace(0, 6*np... |
12,616 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
a) Which thrillers were directed by Steven Spielberg?
Step1: b) Who acted in at least 20 different films?
Step2: c) List all shows of “Alice in Wonderland”.
Step3: d) Who acted in his/her... | Python Code:
cur.execute('''SELECT film.title
FROM film, person, participation
WHERE film.genre LIKE '%Thriller%'
AND film.id = participation.film
AND person.id = participation.person
AND participation.function = "director"
AND... |
12,617 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Lab 3 - Basic Artificial Neural Network
In this lab we will build a very rudimentary Artificial Neural Network (ANN) and use it to solve some basic classification problems. This example is i... | Python Code:
%matplotlib inline
import random
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns; sns.set(style="ticks", color_codes=True)
from sklearn.preprocessing import OneHotEncoder
from sklearn.utils import shuffle
Explanation: Lab 3 - Basic Artificial Neural Network
In this lab we will buil... |
12,618 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<h2 align="center">点击下列图标在线运行HanLP</h2>
<div align="center">
<a href="https
Step1: 加载模型
HanLP的工作流程是先加载模型，模型的标示符存储在hanlp.pretrained这个包中，按照NLP任务归类。
Step2: 调用hanlp.load进行加载，模型会自动下载到本地缓存。自... | Python Code:
!pip install hanlp -U
Explanation: <h2 align="center">点击下列图标在线运行HanLP</h2>
<div align="center">
<a href="https://colab.research.google.com/github/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/sdp_mtl.ipynb" target="_blank"><img src="https://colab.research.google.com/assets/colab-badge.svg" ... |
12,619 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Calculate quantities for analysis
These notebooks describe how to calculate the data and how to produce figures in the manuscript
"Barnaba
Step1: Now we calculate all the quantitites descr... | Python Code:
import barnaba as bb
import pickle
top = "topology.pdb"
traj = "trajectory.dcd"
native = "2KOC.pdb"
Explanation: Calculate quantities for analysis
These notebooks describe how to calculate the data and how to produce figures in the manuscript
"Barnaba: Software for Analysis of Nucleic Acids Structures a... |
12,620 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Keen readers of this blog (hi Mom!) might have noticed my recent focus on neural networks and deep learning. It's good for popularity, as deep learning posts are automatically cool (I'm real... | Python Code:
import scrapy
import re # for text parsing
import logging
class ChartSpider(scrapy.Spider):
name = 'ukChartSpider'
# page to scrape
start_urls = ['http://www.officialcharts.com/charts/']
# if you want to impose a delay between sucessive scrapes
# download_delay = 0.5
def parse(self, ... |
12,621 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
TensorFlow Tutorial #13-B
Visual Analysis (MNIST)
by Magnus Erik Hvass Pedersen
/ GitHub / Videos on YouTube
Introduction
Tutorial #13 showed how to find input images that maximized the resp... | Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import tensorflow as tf
import numpy as np
from sklearn.metrics import confusion_matrix
import math
Explanation: TensorFlow Tutorial #13-B
Visual Analysis (MNIST)
by Magnus Erik Hvass Pedersen
/ GitHub / Videos on YouTube
Introduction
Tutorial #13 showed h... |
12,622 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<figure>
<IMG SRC="../../logo/logo.png" WIDTH=250 ALIGN="right">
</figure>
IHE Python course, 2017
Time series manipulation
T.N.Olsthoorn,
April 18, 2017
Most scientists and engineers, in... | Python Code:
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
Explanation: <figure>
<IMG SRC="../../logo/logo.png" WIDTH=250 ALIGN="right">
</figure>
IHE Python course, 2017
Time series manipulation
T.N.Olsthoorn,
April 18, 2017
Most scientists and engineers, including hydrologists, physisists,... |
12,623 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Advanced
Step1: MPI Modes
As of the 2.1 release, PHOEBE officially support parallelization using MPI within run_compute. The 2.3 release introduced support for run_solver, including suppor... | Python Code:
#!pip install -I "phoebe>=2.3,<2.4"
import phoebe
Explanation: Advanced: Running PHOEBE in MPI
Setup
Let's first make sure we have the latest version of PHOEBE 2.3 installed (uncomment this line if running in an online notebook session such as colab).
End of explanation
print(phoebe.mpi.enabled)
print(phoe... |
12,624 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
comment data 가져오기 및 전처리
Step1: user dataframe 만들기
Step2: user, book 인덱스 및 처리
Step3: user * book matrix 만들기
Step5: user * user cosine similarity 매트릭스 만들기
1 권 169464 명 1분 59초
2 권 57555 명... | Python Code:
episode_comment = pd.read_csv("data/webnovel/episode_comments.csv", index_col=0, encoding="cp949")
episode_comment["ID"] = episode_comment["object_id"].apply(lambda x: x.split("-")[0])
episode_comment["volume"] = episode_comment["object_id"].apply(lambda x: x.split("-")[1]).astype("int")
episode_comment["w... |
12,625 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Matplotlib tutorial 02
Step1: Checking and Defining the Range of Axes
Step2: "linspace" to Define X Values
linspace can be used to create evenly spaced numbers over a specified interva... | Python Code:
# import
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
# generating some data points
X = np.linspace(-np.pi, np.pi, 20, endpoint=True)
C, S = np.cos(X), np.sin(X)
# Simply plotting these in same plot
plt.plot(X, C,
X, S)
plt.plot(X, C,
X, C, 'oy',
X, S,
... |
12,626 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Vector-space models
Step1: Contents
Overview
Set-up
The retrofitting model
Examples
Only node 0 has outgoing edges
All nodes connected to all others
As before, but now 2 has no outgoing edg... | Python Code:
__author__ = "Christopher Potts"
__version__ = "CS224u, Stanford, Spring 2022"
Explanation: Vector-space models: retrofitting
End of explanation
from collections import defaultdict
from nltk.corpus import wordnet as wn
import numpy as np
import os
import pandas as pd
import retrofitting
from retrofitting i... |
12,627 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Copyright 2020 The TensorFlow Authors.
Step1: 量化感知训练综合指南
<table class="tfo-notebook-buttons" align="left">
<td><a target="_blank" href="https
Step2: 定义量化感知模型
通过按以下方式定义模型，可以获得概述页面中所列后端的部署... | 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... |
12,628 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<a href="https
Step1: Chapter 7 - Sets
This chapter will introduce a different kind of container
Step2: Curly brackets surround sets, and commas separate the elements in the set
A set can ... | Python Code:
%%capture
!wget https://github.com/cltl/python-for-text-analysis/raw/master/zips/Data.zip
!wget https://github.com/cltl/python-for-text-analysis/raw/master/zips/images.zip
!wget https://github.com/cltl/python-for-text-analysis/raw/master/zips/Extra_Material.zip
!unzip Data.zip -d ../
!unzip images.zip -d .... |
12,629 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
DMP tutorial
Introduction
Dynamical movement primitives are dynamical systems that provide a means of robust, generalizable trajectory generation. I give an overview of their origins formall... | Python Code:
import numpy as np
import nengo
model = nengo.Network()
with model:
# linearly increasing system with an oscillatory biased input
ramp_osc = nengo.Ensemble(n_neurons=500, dimensions=2, radius=.01)
# recurrent connections
nengo.Connection(ramp_osc, ramp_osc,
transform=np.e... |
12,630 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
What-If Tool Image Smile Detection
In this demo we demonstrate the use of what-if-tool for image recognition models. Our task is to predict if a person is smiling or not. We provide a CNN th... | Python Code:
# Ensure the right version of Tensorflow is installed.
!pip freeze | grep tensorflow==2.1
Explanation: What-If Tool Image Smile Detection
In this demo we demonstrate the use of what-if-tool for image recognition models. Our task is to predict if a person is smiling or not. We provide a CNN that is trained ... |
12,631 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
https
Step1: 3
Step2: 4
Step3: 5 | Python Code:
# %sh
# # download source file
# wget https://raw.githubusercontent.com/fivethirtyeight/data/master/college-majors/all-ages.csv
# wget https://raw.githubusercontent.com/fivethirtyeight/data/master/college-majors/recent-grads.csv
# ls -l
import pandas as pd
all_ages = pd.read_csv("all-ages.csv")
print all_a... |
12,632 | Given the following text description, write Python code to implement the functionality described.
Description:
Bitwise OR (
) of all even number from 1 to N
Function to return the bitwise OR of all the even numbers upto N ; Initialize result as 2 ; Driver code
| Python Code:
def bitwiseOrTillN(n ) :
result = 2 ;
for i in range(4 , n + 1 , 2 ) :
result = result | i
return result
n = 10 ;
print(bitwiseOrTillN(n ) ) ;
|
12,633 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Getting ready to implement the Schelling model
Goal for this assignment
The goal of this assignment is to finish up the two functions that you started in class on the first day of this proje... | Python Code:
# Put your code here, using additional cells if necessary.
import random
import math
def initialize_list(array_size=32, randseed=8675309):
'''
This function optionally takes in an array size and random seed
and returns the initial neighborhood that we're going to start
from - a string of z... |
12,634 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<small><i>This notebook was prepared by Donne Martin. Source and license info is on GitHub.</i></small>
Challenge Notebook
Problem
Step1: Unit Test
The following unit test is expected to fa... | Python Code:
class Node(object):
def __init__(self, data):
# TODO: Implement me
pass
class Stack(object):
def __init__(self, top=None):
# TODO: Implement me
pass
def push(self, data):
# TODO: Implement me
pass
def pop(self):
# TODO: Implement me
... |
12,635 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
String vs. Bytes
Text in Python 3 is always Unicode and is represented by the str type, and binary data is represented by the bytes type. They cannot be mixed.
Strings can be encoded to byte... | Python Code:
s = 'Hello world!'
print(s)
print("length is", len(s))
us = 'Hello 世界!'
print(us)
print("length is", len(us))
Explanation: String vs. Bytes
Text in Python 3 is always Unicode and is represented by the str type, and binary data is represented by the bytes type. They cannot be mixed.
Strings can be encoded t... |
12,636 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Capstone 1 Data Wrangling Project
Data Acquisition Summary
A set of .csv files provided for the Kaggle March Machine Learning Mania contest (hereafter referred to as Kaggle data) were downlo... | Python Code:
# importing packages for wrangling tasks
import pandas as pd
import numpy as np
import re
from fuzzywuzzy import process
from fuzzywuzzy import fuzz
from geopy.distance import great_circle
# create a function to quickly tabulate a dataframe column
def tab(dfcol):
t = pd.crosstab(index=dfcol, columns="c... |
12,637 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Demonstrate Seq2Seq Wrapper with CMUDict dataset
Step1: Create an instance of the Wrapper
Step2: Create data generators
Read data_utils.py for more information
Step3: Computational graph ... | Python Code:
import tensorflow as tf
import numpy as np
# preprocessed data
from datasets.cmudict import data
import data_utils
# load data from pickle and npy files
data_ctl, idx_words, idx_phonemes = data.load_data(PATH='datasets/cmudict/')
(trainX, trainY), (testX, testY), (validX, validY) = data_utils.split_dataset... |
12,638 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Why Objects?
Provide modularity and reuse through hierarchical structures
Object oriented programming is a different way of thinking.
Programming With Objects
Step1: Initial concepts
An obj... | Python Code:
from IPython.display import Image
Image(filename='Classes_vs_Objects.png')
Explanation: Why Objects?
Provide modularity and reuse through hierarchical structures
Object oriented programming is a different way of thinking.
Programming With Objects
End of explanation
# Definiting a Car class
class Car(objec... |
12,639 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Getting Started with halomod
In this tutorial, you'll get a basic familiarity with the layout of halomod and some of its features. This is in no way meant to be exhaustive!
The first thing ... | Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
from halomod import TracerHaloModel
import halomod
import hmf
print("halomod version: ", halomod.__version__)
print("hmf version:", hmf.__version__)
Explanation: Getting Started with halomod
In this tutorial, you'll get a basic familiari... |
12,640 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Stochastic Variational Optimization with SVIGP
Pytorch adaptation of test_svi Notebook by Mark van der Wilk, 2016, edits by James Hensman, 2016
Pytorch version by Thomas Viehmann
Step1: Sto... | Python Code:
import sys, os
import numpy
import time
sys.path.append(os.path.join(os.getcwd(),'..'))
import candlegp
from matplotlib import pyplot
import torch
from torch.autograd import Variable
%matplotlib inline
pyplot.style.use('ggplot')
import IPython
M = 50
def func(x):
return torch.sin(x * 3*3.14) + 0.3*torc... |
12,641 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
This is for the Thorlabs PDA36A at the 20dB setting.
Step1: Note that we need at least 10mV to even resolve a signal on the scope. So the NEP is only part of the story
Step2: This setting ... | Python Code:
# Enter the specs of the detector
nep = 2.34e-12 # in Watts per root hz
BW = 10e6 # Bandwidth in Hz
gain = 0.75e4 # gain in V/A
responsivity = 0.5 # Amps per Watt (assume 800 nm)
pmin = nep * np.sqrt(BW)
volts_min = pmin * responsivity * gain
print("voltage generated by p_min:",volts_min)
Explanation: ... |
12,642 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Writing PB in file
The API allows to write all the files the command line tools can. This includes the outputs of PBassign. The functions to handle several file formats are available in the ... | Python Code:
from __future__ import print_function, division
from pprint import pprint
import os
import pbxplore as pbx
Explanation: Writing PB in file
The API allows to write all the files the command line tools can. This includes the outputs of PBassign. The functions to handle several file formats are available in t... |
12,643 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
This jupyter notebooks provides the code for classifying signals using the Continuous Wavelet Transform and Convolutional Neural Networks.
To get some more background information, please hav... | Python Code:
import pywt
import numpy as np
import matplotlib.pyplot as plt
from collections import defaultdict, Counter
import keras
from keras.layers import Dense, Flatten
from keras.layers import Conv2D, MaxPooling2D
from keras.models import Sequential
from keras.callbacks import History
history = History()
Explana... |
12,644 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Graficos de aprovados e reprovados
Step1: Preparação para determinar Correlação entre média de notas e distância até a UF
Step2: Determinar Correlação entre média de notas e distância até ... | Python Code:
import numpy as np
import scipy.special
from bokeh.layouts import gridplot
from bokeh.plotting import figure, show, output_file
def cria_graficos_barras_apro_repro(array, disciplina, titulo_grafico):
dados = []
anos= [2014, 2015, 2016]
periodos = [1, 2]
for ano in anos:
f... |
12,645 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Numpy Exercise 4
Imports
Step1: Complete graph Laplacian
In discrete mathematics a Graph is a set of vertices or nodes that are connected to each other by edges or lines. If those edges don... | Python Code:
import numpy as np
%matplotlib inline
import matplotlib.pyplot as plt
import seaborn as sns
Explanation: Numpy Exercise 4
Imports
End of explanation
import networkx as nx
K_5=nx.complete_graph(5)
nx.draw(K_5)
Explanation: Complete graph Laplacian
In discrete mathematics a Graph is a set of vertices or node... |
12,646 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Let's change gears and talk about Game of thrones or shall I say Network of Thrones.
It is suprising right? What is the relationship between a fatansy TV show/novel and network science or py... | Python Code:
import pandas as pd
import networkx as nx
import matplotlib.pyplot as plt
import community
import numpy as np
import warnings
warnings.filterwarnings('ignore')
%matplotlib inline
Explanation: Let's change gears and talk about Game of thrones or shall I say Network of Thrones.
It is suprising right? What is... |
12,647 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Analysis of local base-steps parameters
This tutorial discuss the analyses that can be performed using the dnaMD Python module included in the do_x3dna package. The tutorial is prepared usin... | Python Code:
import numpy as np
import matplotlib.pyplot as plt
import dnaMD
%matplotlib inline
Explanation: Analysis of local base-steps parameters
This tutorial discuss the analyses that can be performed using the dnaMD Python module included in the do_x3dna package. The tutorial is prepared using Jupyter Notebook an... |
12,648 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
ES-DOC CMIP6 Model Properties - Atmoschem
MIP Era
Step1: Document Authors
Set document authors
Step2: Document Contributors
Specify document contributors
Step3: Document Publication
Speci... | Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'csir-csiro', 'sandbox-1', 'atmoschem')
Explanation: ES-DOC CMIP6 Model Properties - Atmoschem
MIP Era: CMIP6
Institute: CSIR-CSIRO
Source ID: SANDBOX-1
Topic: Atmoschem
Sub-Topics: Tr... |
12,649 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
ionize Tutorial
ionize is a Python module for calculating the properties of ions in aqueous solution.
To load the library, simply import ionize.
Step1: Ion
The basic building block of an i... | Python Code:
from __future__ import print_function, absolute_import, division
import ionize
# We'll also import numpy to set up some of our inputs.
# And pprint to prettily print some lists.
import numpy
import pprint
# And set up inline plotting.
from matplotlib.pyplot import *
%matplotlib inline
# Prettify numpy pri... |
12,650 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Introduction
Maps allow us to transform data in a DataFrame or Series one value at a time for an entire column. However, often we want to group our data, and then do something specific to th... | Python Code:
#$HIDE_INPUT$
import pandas as pd
reviews = pd.read_csv("../input/wine-reviews/winemag-data-130k-v2.csv", index_col=0)
pd.set_option("display.max_rows", 5)
reviews.groupby('points').points.count()
Explanation: Introduction
Maps allow us to transform data in a DataFrame or Series one value at a time for an ... |
12,651 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Flux Variability Anlysis (FVA)
Load a few packages and functions.
Step1: First we load a model from the BiGG database (and make a copy of it).
Step2: Run flux variablity analysis
Calculate... | Python Code:
import pandas
pandas.options.display.max_rows = 12
import escher
from cameo import models, flux_variability_analysis, fba
Explanation: Flux Variability Anlysis (FVA)
Load a few packages and functions.
End of explanation
model = models.bigg.e_coli_core.copy()
Explanation: First we load a model from the BiGG... |
12,652 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Implementing the EffTox Dose-Finding Design in the Matchpoint Trials
This tutorial complements the manuscript Implementing the EffTox Dose-Finding Design in the Matchpoint Trial (Brock et al... | Python Code:
import numpy as np
from scipy.stats import norm
from clintrials.dosefinding.efftox import EffTox, LpNormCurve
real_doses = [7.5, 15, 30, 45]
trial_size = 30
cohort_size = 3
first_dose = 3
prior_tox_probs = (0.025, 0.05, 0.1, 0.25)
prior_eff_probs = (0.2, 0.3, 0.5, 0.6)
tox_cutoff = 0.40
eff_cutoff = 0.45
t... |
12,653 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Test datasets
http
Step1: General guides to Bayesian regression
http | Python Code:
import pandas as pd
import statsmodels.api as sm
# Normal response variable
stackloss_conversion = sm.datasets.get_rdataset("stackloss", "datasets")
#print (stackloss_conversion.__doc__)
# Lognormal response variable
engel_food = sm.datasets.engel.load_pandas()
#print (engel_food.data)
# Binary response va... |
12,654 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Coroutines for IO-bound tasks
In this notebook, we'll weave together our new (Tweet Parser)[https
Step1: We can define a few constants here that will be used throughout our example.
Step2: ... | Python Code:
from IPython.display import HTML
HTML('<iframe width="560" height="315" src="https://www.youtube.com/embed/dD9NgzLhbBM" frameborder="0" allowfullscreen></iframe>')
%load_ext autoreload
%autoreload 2
%matplotlib inline
import itertools as it
from functools import partial
import seaborn as sns
import pandas ... |
12,655 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Ex2
Step1: This example is a lot more tricky to fit, because the responses contain a few "bumps" and noise from the measurement. In such a case, finding a good number of initial poles can t... | Python Code:
import skrf
import numpy as np
import matplotlib.pyplot as mplt
Explanation: Ex2: Measured 190 GHz Active 2-Port
The Vector Fitting feature is demonstrated using a 2-port S-matrix of an active circuit measured from 140 GHz to 220 GHz. Additional explanations and background information can be found in the V... |
12,656 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
DI Her
Step1: As always, let's do imports and initialize a logger and a new bundle.
Step2: System Parameters
We'll adopt and set parameters from the following sources
Step3: Datasets
Let'... | Python Code:
#!pip install -I "phoebe>=2.3,<2.4"
Explanation: DI Her: Misaligned Binary
In this example, we'll reproduce Figure 8 in the misalignment release paper (Horvat et al. 2018).
<img src="horvat+18_fig8.png" alt="Figure 8" width="400px"/>
Setup
Let's first make sure we have the latest version of PHOEBE 2.3 inst... |
12,657 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Examples and Exercises from Think Stats, 2nd Edition
http
Step1: I'll start with the data from the BRFSS again.
Step2: Here are the mean and standard deviation of female height in cm.
Step... | Python Code:
from __future__ import print_function, division
%matplotlib inline
import numpy as np
import brfss
import thinkstats2
import thinkplot
Explanation: Examples and Exercises from Think Stats, 2nd Edition
http://thinkstats2.com
Copyright 2016 Allen B. Downey
MIT License: https://opensource.org/licenses/MIT
End... |
12,658 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Imports
Step1: Pyplot is the Matplotlib plotting backend and the inline magic to see the graph directly in the notebook
Step2: Or you can use pylab, which simplifies all the calling to mat... | Python Code:
# Panda will be usefull for quick data parsing
import pandas as pd
import numpy as np
# Small trick to get a larger display
from IPython.core.display import display, HTML
display(HTML("<style>.container { width:90% !important; }</style>"))
Explanation: Imports
End of explanation
import matplotlib.pyplot as... |
12,659 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Problem
There's a fundamental problem with what I'm trying to do. It's that stupid connect1!!! What I should do is grep for all occurences of mesh_id = int(ftype[-1]) - 1 because any time th... | Python Code:
%debug
Explanation: Problem
There's a fundamental problem with what I'm trying to do. It's that stupid connect1!!! What I should do is grep for all occurences of mesh_id = int(ftype[-1]) - 1 because any time that code occurs, it's going to disrupt what I'm trying to do. For now, I'm going to try this one m... |
12,660 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Notebook-3
Step1: Multiplication and Division
Step2: A challenge for you!
Do you think the results of these two operations will be identical? If not, why? Decide what you think the answer ... | Python Code:
3 - 2 + 10
Explanation: Notebook-3: The Basics
In this first proper programming lesson we are going to use the Python interpreter to perform simple operations, like numeric calculations that you would normally do on a calculator and slightly more advanced operations on words. The interpreter is what reads ... |
12,661 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
ES-DOC CMIP6 Model Properties - Ocean
MIP Era
Step1: Document Authors
Set document authors
Step2: Document Contributors
Specify document contributors
Step3: Document Publication
Specify d... | Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'bnu', 'sandbox-2', 'ocean')
Explanation: ES-DOC CMIP6 Model Properties - Ocean
MIP Era: CMIP6
Institute: BNU
Source ID: SANDBOX-2
Topic: Ocean
Sub-Topics: Timestepping Framework, Adve... |
12,662 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Angelic Search
Search using angelic semantics (is a hierarchical search), where the agent chooses the implementation of the HLA's. <br>
The algorithms input is
Step1: The Angelic search alg... | Python Code:
from planning import *
from notebook import psource
Explanation: Angelic Search
Search using angelic semantics (is a hierarchical search), where the agent chooses the implementation of the HLA's. <br>
The algorithms input is: problem, hierarchy and initialPlan
- problem is of type Problem
- hierarchy i... |
12,663 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<u>Word prediction</u>
Language Model based on n-gram Probabilistic Model
Good Turing Smoothing Used with Backoff
Highest Order n-gram used is Quadgram
<u>Import corpus</u>
Step1: <u>Do pre... | Python Code:
from nltk.util import ngrams
from collections import defaultdict
from collections import OrderedDict
import string
import time
import gc
from math import log10
start_time = time.time()
Explanation: <u>Word prediction</u>
Language Model based on n-gram Probabilistic Model
Good Turing Smoothing Used with Bac... |
12,664 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
数据抓取：
Beautifulsoup简介
王成军
wangchengjun@nju.edu.cn
计算传播网 http
Step1: 一般的数据抓取，使用urllib2和beautifulsoup配合就可以了。
尤其是对于翻页时url出现规则变化的网页，只需要处理规则化的url就可以了。
以简单的例子是抓取天涯论坛上关于某一个关键词的帖子。
在天涯论坛，关于雾霾的帖子的第一... | Python Code:
import urllib2
from bs4 import BeautifulSoup
Explanation: 数据抓取：
Beautifulsoup简介
王成军
wangchengjun@nju.edu.cn
计算传播网 http://computational-communication.com
需要解决的问题
页面解析
获取Javascript隐藏源数据
自动翻页
自动登录
连接API接口
End of explanation
url = 'file:///Users/chengjun/GitHub/cjc2016/data/test.html'
content = urllib2.urlopen... |
12,665 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Tutorial 0 - First JOOMMF notebook
The goal of this tutorial is for all participants to familiarise themselves with running JOOMMF simulations in Jupyter notebook. The only thing you need to... | Python Code:
import oommfc as oc
import discretisedfield as df
%matplotlib inline
Explanation: Tutorial 0 - First JOOMMF notebook
The goal of this tutorial is for all participants to familiarise themselves with running JOOMMF simulations in Jupyter notebook. The only thing you need to know for this tutorial is how to e... |
12,666 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Additional forces
REBOUND is a gravitational N-body integrator. But you can also use it to integrate systems with additional, non-gravitational forces.
This tutorial gives you a very quick o... | Python Code:
import rebound
sim = rebound.Simulation()
sim.integrator = "whfast"
sim.add(m=1.)
sim.add(m=1e-6,a=1.)
sim.move_to_com() # Moves to the center of momentum frame
Explanation: Additional forces
REBOUND is a gravitational N-body integrator. But you can also use it to integrate systems with additional, non-gr... |
12,667 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
ES-DOC CMIP6 Model Properties - Atmoschem
MIP Era
Step1: Document Authors
Set document authors
Step2: Document Contributors
Specify document contributors
Step3: Document Publication
Speci... | Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'nasa-giss', 'sandbox-1', 'atmoschem')
Explanation: ES-DOC CMIP6 Model Properties - Atmoschem
MIP Era: CMIP6
Institute: NASA-GISS
Source ID: SANDBOX-1
Topic: Atmoschem
Sub-Topics: Tran... |
12,668 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Model25
Step1: KMeans
Step2: B. Modeling
Step3: Original
=== Bench with ElasticNetCV | Python Code:
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
from utils import load_buzz, select, write_result
from features import featurize, get_pos
from containers import Questions, Users, Categories
from nlp import extract_entities
Explanation: Model25: using category accuracy per users
End of... |
12,669 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
LEDs aansturen met de Raspberry Pi GPIO pins
Met deze notebook zullen we de General Purpose Input/Output (GPIO) pinnen op de Raspberry Pi gebruiken om een LED lampje te laten branden.
GPIO p... | Python Code:
#GPIO bibliotheek inladen
import RPi.GPIO as GPIO
#BCM (Broadcom) modus instellen voor het nummeren van de pins
GPIO.setmode(GPIO.BCM)
Explanation: LEDs aansturen met de Raspberry Pi GPIO pins
Met deze notebook zullen we de General Purpose Input/Output (GPIO) pinnen op de Raspberry Pi gebruiken om een LED ... |
12,670 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Python
Python is widely used general-purpose high-level programming language. Its design philosophy emphasizes code readability. It is very popular in science.
Jupyter
The Jupyter Notebook i... | Python Code:
print('This is cell with code')
Explanation: Python
Python is widely used general-purpose high-level programming language. Its design philosophy emphasizes code readability. It is very popular in science.
Jupyter
The Jupyter Notebook is a web application that allows you to create and share documents that c... |
12,671 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
The Counted (project by The Guardian to count the people killed by police in the US)
Why is this necessary?
From The Guardian's http
Step1: # Open your dataset up using pandas in a Jupyter ... | Python Code:
!pip install pandas
!pip install matplotlib
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
Explanation: The Counted (project by The Guardian to count the people killed by police in the US)
Why is this necessary?
From The Guardian's http://www.theguardian.com/us-news/ng-interactive/2... |
12,672 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Finite Sequences
Step1: Infinite Sequences
Step2: Branching Sequences
Sometimes we want to do multiple things with an infinite sequence. This is where the Python iterator abstraction star... | Python Code:
import json
data = ['{"name": "Alice", "value": 1}',
'{"name": "Bob", "value": 2}',
'{"name": "Alice", "value": 3}',
'{"name": "Alice", "value": 4}',
'{"name": "Charlie", "value": 5}',
'{"name": "Bob", "value": 6}',
'{"name": "Alice", "value": 7}']
seq = list... |
12,673 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Download the list of occultation periods from the MOC at Berkeley.
Note that the occultation periods typically only are stored at Berkeley for the future and not for the past. So this is onl... | Python Code:
fname = io.download_occultation_times(outdir='../data/')
print(fname)
Explanation: Download the list of occultation periods from the MOC at Berkeley.
Note that the occultation periods typically only are stored at Berkeley for the future and not for the past. So this is only really useful for observation pl... |
12,674 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Step1: WASM demo - brainfuck
Brainfuck is an esoteric language that consists of only eight simple commands
Step3: Hello world example
Step5: Fibonacci example | Python Code:
import wasmfun as wf
def _commands2instructions(commands):
Compile brainfuck commands to WASM instructions (as tuples).
instructions = []
while commands:
c = commands.pop(0)
if c == '>':
instructions += [('get_local', 0), ('i32.const', 1), ('i32.add'), ('se... |
12,675 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
One Dimensional Data Worksheet
This worksheet reviews the concepts discussed about 1 dimensional data. The goal for these exercises is getting you to think in terms of vectorized computing.... | Python Code:
import pandas as pd
import numpy as np
Explanation: One Dimensional Data Worksheet
This worksheet reviews the concepts discussed about 1 dimensional data. The goal for these exercises is getting you to think in terms of vectorized computing. This worksheet should take 20-30 minutes to complete.
End of ex... |
12,676 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Statements Assessment Test
Lets test your knowledge!
Use for, split(), and if to create a Statement that will print out words that start with 's'
Step1: Use range() to print all the even nu... | Python Code:
st = 'Print only the words that start with s in this sentence'
#Code here
# to note: a for in for a string iterates through letters, not numbers
for word in st.split():
letter = word[0].lower()
if letter == 's':
print word
Explanation: Statements Assessment Test
Lets test your knowledge!
Us... |
12,677 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Versicherung on Paper
Step1: Gesucht wird eine wiederholungsfreie Liste der Herstellerländer 3 P
Step2: Listen Sie alle Fahrzeugtypen und die Anzahl Fahrzeuge dieses Typs, aber nur... | Python Code:
%load_ext sql
%sql mysql://steinam:steinam@localhost/versicherung_complete
Explanation: Versicherung on Paper
End of explanation
%%sql
-- meine Lösung
select distinct(Land) from Fahrzeughersteller;
%%sql
-- deine Lösung
select fahrzeughersteller.Land
from fahrzeughersteller
group by fahrzeughersteller.L... |
12,678 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Introduction
This notebook facilitates the manual curation of sample alignment.
Step1: Setup
Parameters
Step2: Directories
Step3: Extract list of files
Step4: Import raw data and perform... | Python Code:
import deltascope.alignment as ut
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import h5py
import os
import re
import time
import tqdm
Explanation: Introduction
This notebook facilitates the manual curation of sample alignment.
End of explanation
# --------------------------------... |
12,679 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Ordinary Differential Equations Exercise 3
Imports
Step1: Damped, driven nonlinear pendulum
The equations of motion for a simple pendulum of mass $m$, length $l$ are
Step4: Write a functio... | 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 3
Imports
End of explanation
g = 9.81 # m/s^2
l = 0.5 # length of pendul... |
12,680 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Applying Contextual Bandits for Recommendation systems using Tensorflow and Cloud Storage
Learning objectives
Install and import required libraries.
Initialize and configure the MovieLens En... | Python Code:
!pip install --quiet --upgrade --force-reinstall tensorflow==2.4 tensorflow_probability==0.12.1 tensorflow-io==0.17.0 --use-feature=2020-resolver
!pip install tf_agents==0.7.1 --quiet gast==0.3.3 --upgrade --use-feature=2020-resolver
import functools
import os
from absl import app
from absl import flags
im... |
12,681 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Let's scrape some death row data
Texas executes a lot of criminals, and it has a web page that keeps track of people on its death row.
Using what you've learned so far, let's scrape this tab... | Python Code:
import csv
import time
import requests
from bs4 import BeautifulSoup
Explanation: Let's scrape some death row data
Texas executes a lot of criminals, and it has a web page that keeps track of people on its death row.
Using what you've learned so far, let's scrape this table into a CSV. Then we're going wri... |
12,682 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Step1: Batch Normalization
One way to make deep networks easier to train is to use more sophisticated optimization procedures such as SGD+momentum, RMSProp, or Adam. Another strategy is to c... | Python Code:
# As usual, a bit of setup
import time
import numpy as np
import matplotlib.pyplot as plt
from skynet.neural_network.classifiers.fc_net import *
from skynet.utils.data_utils import get_CIFAR10_data
from skynet.utils.gradient_check import eval_numerical_gradient, eval_numerical_gradient_array
from skynet.so... |
12,683 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
pymofa tutorial
last updated
Step2: A discrete predetor prey dummy model
First we need to create a dummy model. Let's use a discrete version of the famous predator prey model.
Step3: Examp... | Python Code:
# if you work with this notebook interactively, exectue
# cd ..
# to be at the pymofa root
%matplotlib notebook
import numpy as np
import matplotlib.pyplot as plt
Explanation: pymofa tutorial
last updated: 2016-09-06
This notebook introduces the basic functionalities of pymofa, the python modeling framewor... |
12,684 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
关于泰坦尼克号生存率的数据分析
首先通过观察数据，可以了解到每位旅客的详细数据：
Survived：是否存活（0代表否，1代表是）
Pclass：舱位（一等舱，二等舱，三等舱）
Name：船上乘客的名字
Sex：船上乘客的性别
Age：船上乘客的年龄（可能存在 NaN）
SibSp：乘客在船上的兄弟姐妹和配偶的数量
Parch：乘客在船上的父母以及小孩的数量
Ticket：乘客... | Python Code:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import pylab as pl
%matplotlib inline
filename = './titanic-data.csv'
titanic_df = pd.read_csv(filename)
titanic_df.describe()
Explanation: 关于泰坦尼克号生存率的数据分析
首先通过观察数据，可以了解到每位旅客的详细数据：
Survived：是否存活（0代表否，1代表是）
Pclass：舱位（一等舱，二等舱，三等舱）
Name：船上... |
12,685 | 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
... |
12,686 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Vizualizing BigQuery data in a Jupyter notebook
BigQuery is a petabyte-scale analytics data warehouse that you can use to run SQL queries over vast amounts of data in near realtime.
Data vis... | Python Code:
%%bigquery
SELECT
source_year AS year,
COUNT(is_male) AS birth_count
FROM `bigquery-public-data.samples.natality`
GROUP BY year
ORDER BY year DESC
LIMIT 15
Explanation: Vizualizing BigQuery data in a Jupyter notebook
BigQuery is a petabyte-scale analytics data warehouse that you can use to run SQL ... |
12,687 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
ES-DOC CMIP6 Model Properties - Ocean
MIP Era
Step1: Document Authors
Set document authors
Step2: Document Contributors
Specify document contributors
Step3: Document Publication
Specify d... | Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'cccr-iitm', 'sandbox-1', 'ocean')
Explanation: ES-DOC CMIP6 Model Properties - Ocean
MIP Era: CMIP6
Institute: CCCR-IITM
Source ID: SANDBOX-1
Topic: Ocean
Sub-Topics: Timestepping Fra... |
12,688 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
MCMC Demonstration
Markov Chain Monte Carlo is a useful technique for fitting models to data and obtaining estimates for the uncertainties of the model parameters.
There are a slew of python... | Python Code:
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
import emcee
import corner
Explanation: MCMC Demonstration
Markov Chain Monte Carlo is a useful technique for fitting models to data and obtaining estimates for the uncertainties of the model parameters.
There are a slew of python module... |
12,689 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
matplotlib 폰트 설정 및 한글 사용
여기에서는 리눅스 운영체제에서 matplotlib 을 사용한 플롯에서 디폴트 폰트가 아닌 다른 폰트를 사용하거나 한글을 사용하기 위한 방법을 설명한다.
폰트 설치
matplotlib에서 특정한 폰트를 사용하기 위해서는 우선 시스템에 폰트가 설치되어 있어야 한다. 폰트 설치 여부는 fc-list... | Python Code:
!fc-list
!fc-list
Explanation: matplotlib 폰트 설정 및 한글 사용
여기에서는 리눅스 운영체제에서 matplotlib 을 사용한 플롯에서 디폴트 폰트가 아닌 다른 폰트를 사용하거나 한글을 사용하기 위한 방법을 설명한다.
폰트 설치
matplotlib에서 특정한 폰트를 사용하기 위해서는 우선 시스템에 폰트가 설치되어 있어야 한다. 폰트 설치 여부는 fc-list 명령으로 확인할 수 있다.
datascienceschool/rpython에는 다음과 같은 폰트들이 설치되어 있다. 한글 폰트로는 나눔폰트, 은폰트 등이 ... |
12,690 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
ES-DOC CMIP6 Model Properties - Atmos
MIP Era
Step1: Document Authors
Set document authors
Step2: Document Contributors
Specify document contributors
Step3: Document Publication
Specify d... | Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'pcmdi', 'sandbox-3', 'atmos')
Explanation: ES-DOC CMIP6 Model Properties - Atmos
MIP Era: CMIP6
Institute: PCMDI
Source ID: SANDBOX-3
Topic: Atmos
Sub-Topics: Dynamical Core, Radiatio... |
12,691 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Class 04
ML Models
Step1: We will start with a subset of this data to illustrate what we are trying to do here. We use the sample() function to get a small piece of the data (we use the ran... | Python Code:
import pandas as pd
import seaborn as sns
sns.set_style("white")
#Note the new use of the dtype option here. We can directly tell pandas to use the Speed column as a category in one step.
speeddf = pd.read_csv("Class04_speed_data.csv",dtype={'Speed':'category'})
lm = sns.lmplot(x='Grade', y='Bumpiness', da... |
12,692 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
VSA Syntax and Control Flow
This notebook is meant as just a place to express my current thoughts on how to do large-scale VSA development. In particular, I'm interesting in finding a progr... | Python Code:
import nengo_spa as spa
import nengo
model = spa.Network()
with model:
# configure Nengo to just directly conpute things, rather than trying to implement the
# network with neurons
model.config[nengo.Ensemble].neuron_type = nengo.Direct()
model.config[nengo.Connection].synapse = None
... |
12,693 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Python for Science
Python is free, it is open source, and it has a huge community.
Python is one of the most popular and loved programming languages in the world!
Many blogs come out every y... | Python Code:
import numpy
# By the way: comments in code cells start with a hash.
# here are two arrays, saved as variables x and y:
x = numpy.array([1.0, 0.5, 2.5])
y = numpy.array([[ 1.0, 0.5, 2.5], [ 0.5, 1.1, 2.0]])
# The print function works on arrays:
print(x)
print(y)
numpy.shape(y)
numpy.shape(x)
Explanation: P... |
12,694 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Step1: TV Script Generation
In this project, you'll generate your own Simpsons TV scripts using RNNs. You'll be using part of the Simpsons dataset of scripts from 27 seasons. The Neural Ne... | Python Code:
DON'T MODIFY ANYTHING IN THIS CELL
import helper
data_dir = './data/simpsons/moes_tavern_lines.txt'
text = helper.load_data(data_dir)
# Ignore notice, since we don't use it for analysing the data
text = text[81:]
Explanation: TV Script Generation
In this project, you'll generate your own Simpsons TV script... |
12,695 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
I've been thinking a lot about software achitecure lately. Not just thinking, because I wouldn't come up with these ideas on my own, but consuming a lot about it -- books, talks, slide decks... | Python Code:
@app.route('/register', methods=['GET', 'POST'])
def register():
form = RegisterUserForm()
if form.validate_on_submit():
user = User()
form.populate_obj(user)
db.session.add(user)
db.session.commit()
return redirect('homepage')
return render_tem... |
12,696 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
ES-DOC CMIP6 Model Properties - Ocean
MIP Era
Step1: Document Authors
Set document authors
Step2: Document Contributors
Specify document contributors
Step3: Document Publication
Specify d... | Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'awi', 'sandbox-1', 'ocean')
Explanation: ES-DOC CMIP6 Model Properties - Ocean
MIP Era: CMIP6
Institute: AWI
Source ID: SANDBOX-1
Topic: Ocean
Sub-Topics: Timestepping Framework, Adve... |
12,697 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Statistical Data Modeling
Pandas, NumPy and SciPy provide the core functionality for building statistical models of our data. We use models to
Step1: Estimation
An recurring statistical pro... | Python Code:
%matplotlib inline
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
sns.set()
Explanation: Statistical Data Modeling
Pandas, NumPy and SciPy provide the core functionality for building statistical models of our data. We use models to:
Concisely describe the compo... |
12,698 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Quick, Draw! GAN
code based directly on Grant Beyleveld's, which is derived from Rowel Atienza's under MIT License
data provided by Google under Creative Commons Attribution 4.0 license
Sele... | Python Code:
# import os
# os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
# # os.environ["CUDA_VISIBLE_DEVICES"] = ""
# os.environ["CUDA_VISIBLE_DEVICES"] = "1"
Explanation: Quick, Draw! GAN
code based directly on Grant Beyleveld's, which is derived from Rowel Atienza's under MIT License
data provided by Google under C... |
12,699 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
The ipyrad.analysis tool kit
Deren Eaton
Install software
All required software for this walkthrough is available on conda.
Step1: Start an ipyparallel cluster
In a separate terminal run ... | Python Code:
# conda install -c ipyrad ipyrad structure clumpp bpp
# conda install -c eaton-lab toytree toyplot
# conda install -c bioconda raxml
Explanation: The ipyrad.analysis tool kit
Deren Eaton
Install software
All required software for this walkthrough is available on conda.
End of explanation
# ipcluster sta... |
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