Unnamed: 0 int64 0 16k | text_prompt stringlengths 110 62.1k | code_prompt stringlengths 37 152k |
|---|---|---|
15,600 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
CM360 Bulkdozer Editor
Bulkdozer is a tool that can reduce trafficking time in Campaign Manager by up to 80%% by providing automated bulk editing capabilities.
License
Copyright 2020 Google ... | Python Code:
!pip install git+https://github.com/google/starthinker
Explanation: CM360 Bulkdozer Editor
Bulkdozer is a tool that can reduce trafficking time in Campaign Manager by up to 80%% by providing automated bulk editing capabilities.
License
Copyright 2020 Google LLC,
Licensed under the Apache License, Version 2... |
15,601 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Code Generation for the Heat Equation
The <a target="_blank" href="https
Step1: We define the PDE using the pystencils building blocks for transient and spatial derivatives. The definition ... | Python Code:
u, u_tmp = ps.fields("u, u_tmp: [2D]", layout='fzyx')
kappa = sp.Symbol("kappa")
dx = sp.Symbol("dx")
dt = sp.Symbol("dt")
Explanation: Code Generation for the Heat Equation
The <a target="_blank" href="https://en.wikipedia.org/wiki/Heat_equation">heat equation</a> which is a simple partial differential eq... |
15,602 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Quantum SVM (quantum kernel method)
Introduction
Please refer to this file for introduction.
This file shows an example how to use Aqua API to build SVM classifier and keep the instance for ... | Python Code:
from datasets import *
from qiskit_aqua.utils import split_dataset_to_data_and_labels, map_label_to_class_name
from qiskit_aqua.input import get_input_instance
from qiskit_aqua import run_algorithm, get_feature_map_instance, get_algorithm_instance, get_multiclass_extension_instance
Explanation: Quantum SVM... |
15,603 | Given the following text problem statement, write Python code to implement the functionality described below in problem statement
Problem:
I want to make an 4 dimensional array of zeros in python. I know how to do this for a square array but I want the lists to have different lengths. | Problem:
import numpy as np
arr = np.zeros((20,10,10,2)) |
15,604 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Explorando os contratos da cidade de São Paulo
Na primeira parte deste tutorial, procurei mostrar como
Step1: Um parêntesis! Como saber qual é o código do órgão que quero pesquisar?
Na cons... | Python Code:
import pandas as pd
import requests
import json
import numpy as np
TOKEN = '198f959a5f39a1c441c7c863423264'
base_url = "https://gatewayapi.prodam.sp.gov.br:443/financas/orcamento/sof/v2.1.0"
headers={'Authorization' : str('Bearer ' + TOKEN)}
Explanation: Explorando os contratos da cidade de São Paulo
Na pr... |
15,605 | 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', 'ec-earth-consortium', 'sandbox-1', 'atmoschem')
Explanation: ES-DOC CMIP6 Model Properties - Atmoschem
MIP Era: CMIP6
Institute: EC-EARTH-CONSORTIUM
Source ID: SANDBOX-1
Topic: Atmosc... |
15,606 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Advanced
Step1: As always, let's do imports and initialize a longger and a new Bundle.
Step2: Accessing Settings
Settings are found with their own context in the Bundle and can be accessed... | Python Code:
#!pip install -I "phoebe>=2.3,<2.4"
Explanation: Advanced: Settings
The Bundle also contains a few Parameters that provide settings for that Bundle. Note that these are not system-wide and only apply to the current Bundle. They are however maintained when saving and loading a Bundle.
Setup
Let's first ma... |
15,607 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
An Introduction to BioImage Data Analysis with Python
developed by Jonas Hartmann (Gilmour group, EMBL Heidelberg)<br>
as part of the EMBL Bio-IT Course on Intermediate Python Programming<br... | Python Code:
# For python 2 users
from __future__ import division, print_function
# Scientific python
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# Image analysis
import scipy.ndimage as ndi
from skimage import io, segmentation, graph, filters, measure
# Machine learning
from sklearn import ... |
15,608 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Interact Exercise 01
Import
Step2: Interact basics
Write a print_sum function that prints the sum of its arguments a and b.
Step3: Use the interact function to interact with the print_sum ... | Python Code:
%matplotlib inline
from matplotlib import pyplot as plt
import numpy as np
from IPython.html.widgets import interact, interactive, fixed
from IPython.display import display
Explanation: Interact Exercise 01
Import
End of explanation
def print_sum(a, b):
Print the sum of the arguments a and b.
print... |
15,609 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Hidden Markov Models
author
Step1: CG rich region identification example
Lets take the simplified example of CG island detection on a sequence of DNA. DNA is made up of the four canonical n... | Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import seaborn; seaborn.set_style('whitegrid')
import numpy
from pomegranate import *
numpy.random.seed(0)
numpy.set_printoptions(suppress=True)
%load_ext watermark
%watermark -m -n -p numpy,scipy,pomegranate
Explanation: Hidden Markov Models
author: Jacob... |
15,610 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Featurizing Ligand-Protein trajectories
Trajectories containing a protein and ligand can now be featurized in several ways. A reference frame with at least two chains, one of which is the pr... | Python Code:
%matplotlib inline
from matplotlib import pyplot as plt
import numpy as np
import pandas as pd
import mdtraj as md
top = md.Topology()
c = top.add_chain()
r0 = top.add_residue('HET', c)
r1 = top.add_residue('HET', c)
r2 = top.add_residue('HET', c)
r3 = top.add_residue('HET', c)
r4 = top.add_residue('HET', ... |
15,611 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
The issues associated with validation and
cross-validation are some of the most important
aspects of the practice of machine learning. Selecting the optimal model
for your data is vital, a... | Python Code:
import numpy as np
import matplotlib.pyplot as plt
from sklearn.pipeline import Pipeline
from sklearn.svm import SVR
from sklearn import cross_validation
rng = np.random.RandomState(42)
n_samples = 200
kernels = ['linear', 'poly', 'rbf']
true_fun = lambda X: X ** 3
X = np.sort(5 * (rng.rand(n_samples) - .5... |
15,612 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Introduction
In many simulations particles continuously enter the simulation domain while other particles leave the simulation domain. This example illustrates two key concepts in the coldat... | Python Code:
import coldatoms
import numpy as np
%matplotlib notebook
import matplotlib.pyplot as plt
Explanation: Introduction
In many simulations particles continuously enter the simulation domain while other particles leave the simulation domain. This example illustrates two key concepts in the coldatom library that... |
15,613 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Using ICsound
csoundmagics includes an ICsound class which is adapted from Andrés Cabrera's icsound module. ICsound is bound to the %%csound and %csound magics command.
This notebook is an a... | Python Code:
import numpy as np
import matplotlib.pyplot as plt
%load_ext csoundmagics
Explanation: Using ICsound
csoundmagics includes an ICsound class which is adapted from Andrés Cabrera's icsound module. ICsound is bound to the %%csound and %csound magics command.
This notebook is an adaptation of Andrés' icsound t... |
15,614 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Step1: Beautiful soup on test data
Here, we create some simple HTML that include some frequently used tags.
Note, however, that we have also left one paragraph tag unclosed.
Step2: Once th... | Python Code:
source =
<!DOCTYPE html>
<html>
<head>
<title>Scraping</title>
</head>
<body class="col-sm-12">
<h1>section1</h1>
<p>paragraph1</p>
<p>paragraph2</p>
<div class="col-sm-2">
<h2>section2</h2>
<p>paragraph3</p>
<p>unclosed
</div>
</body>
</html>
soup =... |
15,615 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Conventions
Our main data structure is a Box, which represents a bounding box somewhere in the image.
Our coordinate system has its origin in the bottom-left of the image (with positive up a... | Python Code:
class Box:
def __init__(self, y, x, h, w):
self.pos = (y, x)
self.size = (h, w)
@property
def pos(self):
return self._pos
@pos.setter
def pos(self, value):
assert len(value) == 2
self._pos = np.array(value, dtype=int)
@property
... |
15,616 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<center><img src="http
Step1: Simple standard analysis
Here we can see a simple example of basic spectral analysis for FITS PHA files from the Fermi Gamma-ray Burst Monitor. FITS PHA files ... | Python Code:
from threeML import *
import matplotlib.pyplot as plt
%matplotlib inline
%matplotlib notebook
Explanation: <center><img src="http://identity.stanford.edu/overview/images/emblems/SU_BlockStree_2color.png" width="200" style="display: inline-block"><img src="http://upload.wikimedia.org/wikipedia/commons/thumb... |
15,617 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<figure>
<IMG SRC="gfx/Logo_norsk_pos.png" WIDTH=100 ALIGN="right">
</figure>
Linear algebra crash course
Roberto Di Remigio, Luca Frediani
This is a very brief and incomplete introduction... | Python Code:
import numpy as np
a = np.array([1, 2, 3]) # Create a rank 1 array
print(type(a)) # Prints "<type 'numpy.ndarray'>"
print(a.shape) # Prints "(3,)"
Explanation: <figure>
<IMG SRC="gfx/Logo_norsk_pos.png" WIDTH=100 ALIGN="right">
</figure>
Linear algebra crash course
Roberto Di Remig... |
15,618 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Exploratory Data Analysis with Pandas
Exploratory data analysis (EDA) is an approach to analyzing data sets to summarize their main characteristics, often with visual methods.
We will go thr... | Python Code:
import urllib3
import pandas as pd
url = "https://raw.githubusercontent.com/jpatokal/openflights/master/data/airports.dat"
#load the csv
airports = pd.read_csv(url,header=None)
print("Check DataFrame types")
display(airports.dtypes)
Explanation: Exploratory Data Analysis with Pandas
Exploratory data analys... |
15,619 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Last updated
Step1: 1. Loading data
More details, see http
Step2: From a local text file
Let's first load some temperature data which covers all lattitudes. Since read_table is supposed to... | Python Code:
%matplotlib inline
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
pd.set_option("display.max_rows", 16)
LARGE_FIGSIZE = (12, 8)
# Change this cell to the demo location on YOUR machine
%cd ~/Projects/pandas_tutorial/climate_timeseries/
%ls
Explanation: Last updated: June 29th 2016
Cl... |
15,620 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Градиентный бустинг своими руками
Внимание
Step1: Задание 1
Как вы уже знаете из лекций, бустинг - это метод построения композиций базовых алгоритмов с помощью последовательного добавления ... | Python Code:
from sklearn import cross_validation, datasets, metrics, tree, ensemble, learning_curve
import numpy as np
import pandas as pd
%pylab inline
boston = datasets.load_boston()
X_train = boston.data[:379]
X_test = boston.data[379:]
y_train = boston.target[:379]
y_test = boston.target[379:]
Explanation: Градиен... |
15,621 | 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', 'cas', 'fgoals-f3-h', 'atmos')
Explanation: ES-DOC CMIP6 Model Properties - Atmos
MIP Era: CMIP6
Institute: CAS
Source ID: FGOALS-F3-H
Topic: Atmos
Sub-Topics: Dynamical Core, Radiatio... |
15,622 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Representational Similarity Analysis
Representational Similarity Analysis is used to perform summary statistics
on supervised classifications where the number of classes is relatively high.
... | Python Code:
# Authors: Jean-Remi King <jeanremi.king@gmail.com>
# Jaakko Leppakangas <jaeilepp@student.jyu.fi>
# Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
#
# License: BSD (3-clause)
import os.path as op
import numpy as np
from pandas import read_csv
import matplotlib.pyplot as plt... |
15,623 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Schelling Segregation Model
Background
The Schelling (1971) segregation model is a classic of agent-based modeling, demonstrating how agents following simple rules lead to the emergence of q... | Python Code:
import matplotlib.pyplot as plt
%matplotlib inline
from model import SchellingModel
Explanation: Schelling Segregation Model
Background
The Schelling (1971) segregation model is a classic of agent-based modeling, demonstrating how agents following simple rules lead to the emergence of qualitatively differe... |
15,624 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Ian's
Step3: [[ 0.56849023 0.56123475 -0.60152673]
[ 0.81728005 -0.30155688 0.49103641]
[ 0.09419218 -0.7707652 -0.63011811]]
For a framing camera the interior orientation (intrinsic m... | Python Code:
print(isd['omega'])
print(isd['phi'])
print(isd['kappa'])
o = isd['omega']
p = isd['phi']
k = isd['kappa']
XL = 1728357.70312
YL = -2088409.0061
ZL = 2082873.92806
print(XL, YL, ZL)
opk_to_rotation(o, p, k)
Explanation: Ian's:
o = 2.25613094079
p = 0.094332016311
k = -0.963037547862
XL = 1728357.70312
YL =... |
15,625 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Auftrieb umströmter Körper
In diesem Kapitel werden wir sehen, dass auf einen Körper nur dann eine Auftriebskraft wirkt, wenn die Zirkulation $\Gamma$ - das Linienintegral des Geschwindigkei... | Python Code:
import math
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
nx = 400 # Anzahl der Punkte in x-Richtung
ny = 200 # Anzahl der Punkte in y-Richtung
x = np.linspace(-10, 10, nx) # 1D-Array mit x-Koordinaten
y = np.linspac... |
15,626 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Algorithms Exercise 3
Imports
Step2: Character counting and entropy
Write a function char_probs that takes a string and computes the probabilities of each character in the string
Step4: Th... | Python Code:
%matplotlib inline
from matplotlib import pyplot as plt
import numpy as np
from IPython.html.widgets import interact
Explanation: Algorithms Exercise 3
Imports
End of explanation
def char_probs(s):
Find the probabilities of the unique characters in the string s.
Parameters
----------
s... |
15,627 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Copyright 2020 The TensorFlow Hub Authors.
Licensed under the Apache License, Version 2.0 (the "License");
Step1: <table class="tfo-notebook-buttons" align="left">
<td><a target="_blank" ... | Python Code:
#@title Copyright 2020 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
#
# Unl... |
15,628 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Scaling behavior
Step1: Tools
For generating scaling scenarios and running it through guv
Step2: Workers versus queue length
For different processing times (fixed deadline).
Should general... | Python Code:
%matplotlib inline
import subprocess
import json
import os
import pandas
import numpy
Explanation: Scaling behavior
End of explanation
def normalize_scenario(flat):
# Pop out messages
messages = flat['messages']
# Everything else assumed to be config
roleconfig = flat.copy()
del rolecon... |
15,629 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Welcome to Jupyter Notebook
This is a Jupyter Notebook. It works just like python console, but you can freely go back and forth and reexecute pieces (cells) of code.
To run code press Shift+... | Python Code:
a = 2
a += 2
print(a)
Explanation: Welcome to Jupyter Notebook
This is a Jupyter Notebook. It works just like python console, but you can freely go back and forth and reexecute pieces (cells) of code.
To run code press Shift+Enter
End of explanation
!ls -al
Explanation: I can do to the second cell and run ... |
15,630 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Signal-space separation (SSS) and Maxwell filtering
This tutorial covers reducing environmental noise and compensating for head
movement with SSS and Maxwell filtering.
As usual we'll start ... | Python Code:
import os
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np
import mne
from mne.preprocessing import find_bad_channels_maxwell
sample_data_folder = mne.datasets.sample.data_path()
sample_data_raw_file = os.path.join(sample_data_folder, 'MEG', 'sample',
... |
15,631 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
1. Aggregate all blast results
Step1: 2. Write annotated results out | Python Code:
blast_file_regex = re.compile(r"(blast[np])_vs_([a-zA-Z0-9_]+).tsv")
blast_cols = ["query_id","subject_id","pct_id","ali_len","mism",
"gap_open","q_start","q_end","s_start","s_end",
"e_value","bitscore","q_len","s_len","s_gi",
"s_taxids","s_scinames","s_names","q_co... |
15,632 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Running Tune experiments with ZOOpt
In this tutorial we introduce ZOOpt, while running a simple Ray Tune experiment. Tune’s Search Algorithms integrate with ZOOpt and, as a result, allow you... | Python Code:
# !pip install ray[tune]
!pip install zoopt==0.4.1
Explanation: Running Tune experiments with ZOOpt
In this tutorial we introduce ZOOpt, while running a simple Ray Tune experiment. Tune’s Search Algorithms integrate with ZOOpt and, as a result, allow you to seamlessly scale up a ZOOpt optimization process ... |
15,633 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Jennifer 8. Lee et al have been using a Google spreadsheet to track the production of books in Project GITenberg
Step1: Getting access to the spreadsheet (Method 1)
Step3: Calculations on ... | Python Code:
from __future__ import print_function
import gspread
import json
# rtc50_settings.py holds URL related to the Google spreadsheet
from rtc50_settings import (g_name, g_url, g_key)
OFFICIAL_NAME_KEY = "Name in rtc/books.json, Official Name"
Explanation: Jennifer 8. Lee et al have been using a Google spreads... |
15,634 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Week 14 - Astropy
Today's Agenda
Useful functions of Astropy
Units
Time
Coordinates
FITS files
Analytic functions
AstroPy Tables and different formats
Astropy is a package that is meant to p... | Python Code:
# Importing Modules
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
sns.set_context("notebook")
import astropy
from astropy import units as u
from astropy.coordinates import SkyCoord
from astropy import constants as const
Explanation: Week 14 - Astropy
Today's Ag... |
15,635 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Copyright 2019 The TensorFlow Authors.
Step1: Text classification with TensorFlow Lite Model Maker
<table class="tfo-notebook-buttons" align="left">
<td>
<a target="_blank" href="http... | 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... |
15,636 | Given the following text problem statement, write Python code to implement the functionality described below in problem statement
Problem:
Following-up from this question years ago, is there a canonical "shift" function in numpy? Ideally it can be applied to 2-dimensional arrays. | Problem:
import numpy as np
a = np.array([[ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9.],
[1., 2., 3., 4., 5., 6., 7., 8., 9., 10.]])
shift = 3
def solution(xs, n):
e = np.empty_like(xs)
if n >= 0:
e[:,:n] = np.nan
e[:,n:] = xs[:,:-n]
else:
e[:,n:] = np.nan
e[:,... |
15,637 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
8.1 RM-GF correlations tests
Step1: Correlation between max chapter and answers
method 1
Step2: method 2
use max chapter or <= max chapter?
Step3: Clustering answers to find underlying co... | Python Code:
%run "../Functions/8. RM-GF correlations.ipynb"
allData = allDataPlaytestPhase1PretestPosttestUniqueProfilesVolunteers.copy()
Explanation: 8.1 RM-GF correlations tests
End of explanation
#def getScoresOnQuestionsFromAllData(allData, Qs):
Explanation: Correlation between max chapter and answers
method 1: co... |
15,638 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Methods and Experiments
Experimental Setup
Basic Definitions
Computation Steps
Compute Experimental Data
Load Trajectory Data
Compute POI Info
Construct Travelling Sequences
Choose Travellin... | Python Code:
%matplotlib inline
import os
import math
import random
import pickle
import pandas as pd
import numpy as np
import numpy.matlib
from datetime import datetime
from joblib import Parallel, delayed
import matplotlib.pyplot as plt
nfeatures = 8 # number of features
EPS = 1e-12 # smooth, deal with 0 probability... |
15,639 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
An end-to-end Vertex Training Pipeline Demonstration
Finally, check that you have correctly installed the packages. The KFP SDK version should be >=1.6
Step1: Then define the pipeline using... | Python Code:
!python3 -c "import kfp; print('KFP SDK version: {}'.format(kfp.__version__))"
import os
import json
from functools import partial
import kfp
import pprint
import yaml
from jinja2 import Template
from kfp.v2 import dsl
from kfp.v2.compiler import compiler
from kfp.v2.dsl import Dataset
from kfp.v2.google.c... |
15,640 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Python and other languages
Interacting with other programs through API calls.
The whole is greater than its parts
Step1: However in the example above there is no real communication between ... | Python Code:
import readline
import rpy2.robjects as robjects
robjects.r('''
source("http://www.bioconductor.org/biocLite.R")
biocLite("ALL")
library("ALL")
data("ALL")
#install.packages("gplots")
eset <- ALL[, ALL$mol.biol %in% c("BCR/ABL", "ALL1/AF4")]
library("limma")
f <- factor(as.character(eset$mol.biol))
design ... |
15,641 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Dynamical X-ray Scattering
In this example static and transient X-ray simulations are carried out employing the dynamical X-ray scattering formalism.
Setup
Do all necessary imports and setti... | Python Code:
import udkm1Dsim as ud
u = ud.u # import the pint unit registry from udkm1Dsim
import scipy.constants as constants
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
u.setup_matplotlib() # use matplotlib with pint units
Explanation: Dynamical X-ray Scattering
In this example static and... |
15,642 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Dataset split of AotM-2011/30Music playlists for playlist generation
When a user in test set is unknown previously (cold user)
Step1: Load playlists
Load playlists.
Step2: check duplicated... | Python Code:
%matplotlib inline
import os
import sys
import gzip
import numpy as np
import pickle as pkl
from scipy.sparse import lil_matrix, issparse, hstack, vstack
from collections import Counter
import gensim
import matplotlib.pyplot as plt
import seaborn as sns
from tqdm import tqdm
np_settings0 = np.seterr(all='r... |
15,643 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
HW3 visualisation
Step1: Load the topojson with the Swiss cantons and the CSV containing the grants by canton
Step2: The canton that don't receive any grant don't appear in the CSV. The we... | Python Code:
import folium
import pandas as pd
import numpy as np
from map_universities import *
Explanation: HW3 visualisation
End of explanation
swiss_canton = 'ch-cantons.topojson.json'
grant_data = pd.read_csv(r'all_canton_grants.csv')
Explanation: Load the topojson with the Swiss cantons and the CSV containing the... |
15,644 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Tokenization
Default tokenization
Tokenization (the first of the five parts of the Gothenburg model) divides the texts to be collated into tokens, which are most commonly (but not obligatori... | Python Code:
from collatex import *
Explanation: Tokenization
Default tokenization
Tokenization (the first of the five parts of the Gothenburg model) divides the texts to be collated into tokens, which are most commonly (but not obligatorily) words. By default CollateX considers punctuation to be its own token, which m... |
15,645 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Executed
Step1: Load software and filenames definitions
Step2: Data folder
Step3: List of data files
Step4: Data load
Initial loading of the data
Step5: Load the leakage coefficient fro... | Python Code:
ph_sel_name = "None"
data_id = "12d"
# data_id = "7d"
Explanation: Executed: Mon Mar 27 11:38:45 2017
Duration: 7 seconds.
usALEX-5samples - Template
This notebook is executed through 8-spots paper analysis.
For a direct execution, uncomment the cell below.
End of explanation
from fretbursts import *
init_... |
15,646 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Copyright 2020 The TensorFlow Authors.
Step1: Tokenizing with TF Text
<table class="tfo-notebook-buttons" align="left">
<td>
<a target="_blank" href="https
Step2: Splitter API
The ma... | 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... |
15,647 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
SimpleITK Images, They're Physical Objects <a href="https
Step1: Load your first image and display it
Step2: Image Construction
There are a variety of ways to create an image.
The followi... | Python Code:
import SimpleITK as sitk
# If the environment variable SIMPLE_ITK_MEMORY_CONSTRAINED_ENVIRONMENT is set, this will override the ReadImage
# function so that it also resamples the image to a smaller size (testing environment is memory constrained).
%run setup_for_testing
%matplotlib inline
import matplotlib... |
15,648 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Project Euler
Step1: Find the square of the sum of the first 100 natural numbers
Step2: Find and print the difference
Step3: Success! | Python Code:
sum_of_squares = sum([i ** 2 for i in range(1,101)])
Explanation: Project Euler: Problem 6
https://projecteuler.net/problem=6
The sum of the squares of the first ten natural numbers is,
$$1^2 + 2^2 + ... + 10^2 = 385$$
The square of the sum of the first ten natural numbers is,
$$(1 + 2 + ... + 10)^2 = 55^2... |
15,649 | 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', 'ec-earth-consortium', 'ec-earth3-veg-lr', 'ocean')
Explanation: ES-DOC CMIP6 Model Properties - Ocean
MIP Era: CMIP6
Institute: EC-EARTH-CONSORTIUM
Source ID: EC-EARTH3-VEG-LR
Topic: ... |
15,650 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Karen Yu, Nick Vasios, Thibaut Perol
AM207 Final Project
Energy Disaggregation from Non-Intrusive Load Monitoring
DISAGGREGATION USING COMBINATORIAL OPTIMIZATION
Importing Necessary Packages... | Python Code:
from __future__ import print_function, division
import numpy as np
import pandas as pd
from os.path import join
import pickle
import copy
from pylab import rcParams
import matplotlib.pyplot as plt
%matplotlib inline
rcParams['figure.figsize'] = (13, 6)
import nilmtk
from nilmtk import DataSet, TimeFrame, M... |
15,651 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<h1 align="center">Scientific Programming in Python</h1>
<h2 align="center">Topic 5
Step4: La distancia de Hausdorff nuevamente...
En esta actividad volveremos a implementar la distancia/mé... | Python Code:
import numba
import numpy as np
from math import sqrt
%load_ext Cython
Explanation: <h1 align="center">Scientific Programming in Python</h1>
<h2 align="center">Topic 5: Accelerating Python with Cython: Writting C in Python </h2>
Notebook created by Martín Villanueva - martin.villanueva@usm.cl - DI UTFSM - ... |
15,652 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<a href='http
Step1: Declaring elements in a function
If we write a function that accepts one or more parameters and constructs an element, we can build plots that do things like
Step2: Th... | Python Code:
import numpy as np
import holoviews as hv
hv.extension('bokeh')
%opts Curve Area [width=600]
Explanation: <a href='http://www.holoviews.org'><img src="assets/hv+bk.png" alt="HV+BK logos" width="40%;" align="left"/></a>
<div style="float:right;"><h2>03. Exploration with Containers</h2></div>
In the first tw... |
15,653 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
I will be writing about the Extreme value theory (EVT) which was introduced to me by my brother Sudhanshu, while he was working on his internship project. I really liked the connection it ha... | Python Code:
def draw_samples(dist, n, k=1):
return dist.rvs(size=(n,k))
def plot_samples(dists, aggregations, n=1000, k_max=10000):
rows, cols = len(aggregations), len(dists)
fig, ax = plt.subplots(rows, cols, figsize=(5*cols, 3*rows))
fig_cum, ax_cum = plt.subplots(rows, cols, figsize=(5*cols, 3*rows)... |
15,654 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
ES-DOC CMIP6 Model Properties - Land
MIP Era
Step1: Document Authors
Set document authors
Step2: Document Contributors
Specify document contributors
Step3: Document Publication
Specify do... | Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'miroc', 'nicam16-9d-l78', 'land')
Explanation: ES-DOC CMIP6 Model Properties - Land
MIP Era: CMIP6
Institute: MIROC
Source ID: NICAM16-9D-L78
Topic: Land
Sub-Topics: Soil, Snow, Veget... |
15,655 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Goal
Simulating fullCyc Day1 control gradients
Not simulating incorporation (all 0% isotope incorp.)
Don't know how much true incorporatation for emperical data
Using parameters inferred fro... | Python Code:
import os
import glob
import re
import nestly
%load_ext rpy2.ipython
%load_ext pushnote
%%R
library(ggplot2)
library(dplyr)
library(tidyr)
library(gridExtra)
library(phyloseq)
Explanation: Goal
Simulating fullCyc Day1 control gradients
Not simulating incorporation (all 0% isotope incorp.)
Don't know how mu... |
15,656 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
GPyOpt
Step1: Next, we load the data.
Step2: Now, we process the dataset. We selected only the data corresponding to the day April 22, 2014 and we remove the stations in Alaska and the US ... | Python Code:
%matplotlib inline
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import GPyOpt
Explanation: GPyOpt: armed bandits optimization
Written by Javier Gonzalez, Amazon Reseach Cambridge, UK.
Last updated Monday, 22 May 2016.
In this notebook we will see how to do armed bandits opti... |
15,657 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Pandas Dataframes
This notebook demonstrates how systematic analysis of tally scores is possible using Pandas dataframes. A dataframe can be automatically generated using the Tally.get_panda... | Python Code:
import glob
from IPython.display import Image
import matplotlib.pyplot as plt
import scipy.stats
import numpy as np
import pandas as pd
import openmc
%matplotlib inline
Explanation: Pandas Dataframes
This notebook demonstrates how systematic analysis of tally scores is possible using Pandas dataframes. A d... |
15,658 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
MNIST from scratch
This notebook walks through an example of training a TensorFlow model to do digit classification using the MNIST data set. MNIST is a labeled set of images of handwritten ... | Python Code:
from __future__ import print_function
from IPython.display import Image
import base64
Image(data=base64.decodestring("iVBORw0KGgoAAAANSUhEUgAAAMYAAABFCAYAAAARv5krAAAYl0lEQVR4Ae3dV4wc1bYG4D3YYJucc8455yCSSIYrBAi4EjriAZHECyAk3rAID1gCIXGRgIvASIQr8UTmgDA5imByPpicTcYGY+yrbx+tOUWpu2e6u7qnZ7qXVFPVVbv2Xutfce+q7hlas... |
15,659 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Mie Scattering Efficiencies
Scott Prahl
Jan 2022
If miepython is not installed, uncomment the following cell (i.e., delete the #) and run (shift-enter)
Step1: When a monochromatic plane wav... | Python Code:
#!pip install --user miepython
import importlib.resources
import numpy as np
import matplotlib.pyplot as plt
try:
import miepython
except ModuleNotFoundError:
print('miepython not installed. To install, uncomment and run the cell above.')
print('Once installation is successful, rerun this cell ... |
15,660 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Introduction
The Bureau of Economic Analysis (BEA) publishes economic statistics in a variety of formats. This document describes the BEA Data Retrieval Application Programming Interface (AP... | Python Code:
import pybea
Explanation: Introduction
The Bureau of Economic Analysis (BEA) publishes economic statistics in a variety of formats. This document describes the BEA Data Retrieval Application Programming Interface (API) – including detailed instructions for retrieving data and meta-data published by BEA usi... |
15,661 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Although the notebook in Part 1 might have seemed simplistic, it is useful for determining the effectiveness and interpretability of multiple regression compared to more advanced methods. In... | Python Code:
import pandas as pd
import numpy as np
import seaborn as sns
from scipy import stats
import matplotlib.pyplot as plt
from sklearn import linear_model
from sklearn.decomposition import PCA
from sklearn.metrics import r2_score, mean_absolute_error
from sklearn.model_selection import train_test_split
%matplot... |
15,662 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
TryAlgo Maps in Paris
Here is a demo of the tryalgo package over Paris' graph.
We are going to display a shortest path from Gare de Lyon to Place d'Italie.
Let's first store the graph in an ... | Python Code:
with open('paris.txt') as f:
lines = f.read().splitlines()
N, M, T, C, S = map(int, lines[0].split())
paris_coords = []
for i in range(1, N + 1):
paris_coords.append(list(map(float, lines[i].split()))) # Read coords
paris = {node: {} for node in range(N)}
for i in range(N +... |
15,663 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Comparison between the magnetic field produced by a triaxial ellipsoid and a sphere
Import the required modules and functions
Step1: Set some parameters for modelling
Step2: Triaxial ellip... | Python Code:
%matplotlib inline
import numpy as np
from matplotlib import pyplot as plt
from matplotlib.colors import BoundaryNorm
from matplotlib.ticker import MaxNLocator
from fatiando import gridder, utils
from fatiando.gravmag import sphere
from fatiando.mesher import Sphere
import triaxial_ellipsoid
from mesher im... |
15,664 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Równanie dyfuzji - dekompozycja siatki z zastosowaniem MPI
Problem
Step1: non-contigous slice
Step2: N - slices | Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
import os
print os.getenv("HOME")
wd = os.path.join( os.getenv("HOME"),"mpi_tmpdir")
if not os.path.isdir(wd):
os.mkdir(wd)
os.chdir(wd)
print "WD is now:",os.getcwd()
%%writefile mpi002.py
from mpi4py import MPI
import numpy as np ... |
15,665 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
This is a notebook developed by Dustin Lang and Phil Marshall in Spring 2015, and distributed by them under the GPLv2 licence. We can pull bits out of this and make good use of them in some ... | Python Code:
from straightline_utils import *
%matplotlib inline
from matplotlib import rcParams
rcParams['savefig.dpi'] = 100
Explanation: This is a notebook developed by Dustin Lang and Phil Marshall in Spring 2015, and distributed by them under the GPLv2 licence. We can pull bits out of this and make good use of the... |
15,666 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Load airports of each country
Step1: record schedules for 2 weeks, then augment count with weekly flight numbers.
seasonal and seasonal charter will count as once per week for 3 months, so ... | Python Code:
L=json.loads(file('../json/L.json','r').read())
M=json.loads(file('../json/M.json','r').read())
N=json.loads(file('../json/N.json','r').read())
import requests
AP={}
for c in M:
if c not in AP:AP[c]={}
for i in range(len(L[c])):
AP[c][N[c][i]]=L[c][i]
sch={}
Explanation: Load airports of ea... |
15,667 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Step1: Forwards & backwards flows
This recipe demonstrates how forwards and backwards flows work.
For demonstration, the CSV data is written directly in the cell below -- in practice you wou... | Python Code:
import pandas as pd
from io import StringIO
flows = pd.read_csv(StringIO(
source,target,type,value
a,b,main,2
a,c,main,1
c,d,main,3
b,c,back,2
))
flows
Explanation: Forwards & backwards flows
This recipe demonstrates how forwards and backwards flows work.
For demonstration, the CSV data is written directly... |
15,668 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
KBMOD Demo
The purpose of this demo is to showcase how KBMOD can be used to search through images for moving objects. The images used here are from the Subaru telescope and were processed us... | Python Code:
import numpy as np
import matplotlib.pyplot as plt
from searchImage import searchImage
from analyzeImage import analyzeImage
%matplotlib inline
%load_ext autoreload
%autoreload 2
Explanation: KBMOD Demo
The purpose of this demo is to showcase how KBMOD can be used to search through images for moving object... |
15,669 | Given the following text description, write Python code to implement the functionality described.
Description:
Given a string representing a space separated lowercase letters, return a dictionary
of the letter with the most repetition and containing the corresponding count.
If several letters have the same occu... | Python Code:
def histogram(test):
dict1={}
list1=test.split(" ")
t=0
for i in list1:
if(list1.count(i)>t) and i!='':
t=list1.count(i)
if t>0:
for i in list1:
if(list1.count(i)==t):
dict1[i]=t
return dict1 |
15,670 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
A Convolutional Neural Network for MNIST Classification. This solution got me a score of 0.98 on the leaderboard.
Note
Step1: Simulation Constants
Download notebook and use commented out va... | Python Code:
%matplotlib inline
import numpy as np
import pandas as pd
import tensorflow as tf
import matplotlib.pyplot as plt
from sklearn.model_selection import ShuffleSplit
from sklearn.preprocessing import StandardScaler, LabelEncoder, OneHotEncoder
Explanation: A Convolutional Neural Network for MNIST Classificati... |
15,671 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Text Classification of Movie Reviews
Unpack data - this only works on linux and (maybe?) OS X. Unpack using 7zip on Windows.
Step1: N-Grams | Python Code:
#! tar -xf data/aclImdb.tar.bz2 --directory data
from sklearn.datasets import load_files
reviews_train = load_files("data/aclImdb/train/")
text_train, y_train = reviews_train.data, reviews_train.target
print("Number of documents in training data: %d" % len(text_train))
print(np.bincount(y_train))
reviews_t... |
15,672 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Reading and writing data -- Tour of Beam
So far we've learned some of the basic transforms like
Map,
FlatMap,
Filter,
Combine, and
GroupByKey.
These allow us to transform data in any way, bu... | Python Code:
# Install apache-beam with pip.
!pip install --quiet apache-beam
# Create a directory for our data files.
!mkdir -p data
%%writefile data/my-text-file-1.txt
This is just a plain text file, UTF-8 strings are allowed 🎉.
Each line in the file is one element in the PCollection.
%%writefile data/my-text-file-2... |
15,673 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<div align="right">Python 3.6 Jupyter Notebook</div>
Graph signal processing
<br>
<div class="alert alert-warning">
<b>Note</b>
Step1: First, simple filtering on a noisy graph signal will b... | Python Code:
%%html
%matplotlib inline
import matplotlib
#import pygsp #Uncomment if you have pygsp installed.
import numpy as np
import matplotlib.pylab as plt
import networkx as nx
import pandas as pd
plt.rcParams['figure.figsize'] = (6, 6)
Explanation: <div align="right">Python 3.6 Jupyter Notebook</div>
Graph signa... |
15,674 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
WavefunctionPlot
The WavefunctionPlot class will help you very easily generate and display wavefunctions from a Hamiltonian or any other source. If you already have your wavefunction in a gr... | Python Code:
import sisl
import sisl.viz
Explanation: WavefunctionPlot
The WavefunctionPlot class will help you very easily generate and display wavefunctions from a Hamiltonian or any other source. If you already have your wavefunction in a grid, you can use GridPlot.
<div class="alert alert-info">
Note
`Wavefunctio... |
15,675 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Xarray with Dask Arrays
<img src="images/dataset-diagram-logo.png"
align="right"
width="66%"
alt="Xarray Dataset">
Xarray is an open source project and Python package that ex... | Python Code:
%matplotlib inline
from dask.distributed import Client
import xarray as xr
Explanation: Xarray with Dask Arrays
<img src="images/dataset-diagram-logo.png"
align="right"
width="66%"
alt="Xarray Dataset">
Xarray is an open source project and Python package that extends the labeled data functi... |
15,676 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Sample for KFServing SDK v1beta1
This is a sample for KFServing SDK v1beta1.
The notebook shows how to use KFServing SDK to create, get and delete InferenceService.
Step1: Define namespace... | Python Code:
from kubernetes import client
from kfserving import KFServingClient
from kfserving import constants
from kfserving import utils
from kfserving import V1beta1InferenceService
from kfserving import V1beta1InferenceServiceSpec
from kfserving import V1beta1PredictorSpec
from kfserving import V1beta1TFServingS... |
15,677 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Нейронные сети
Step1: Выполним загрузку данных
Step2: В качестве альтернативного варианта, можно выполнить загрузку данных напрямую из репозитория UCI, воспользовавшись библиотекой urllib.... | Python Code:
# Выполним инициализацию основных используемых модулей
%matplotlib inline
import random
import matplotlib.pyplot as plt
from sklearn.preprocessing import normalize
import numpy as np
Explanation: Нейронные сети: зависимость ошибки и обучающей способности от числа нейронов
В этом задании вы будете настраива... |
15,678 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Lab 6
Step1: Rapidgram
The date
Step4: Question 1
Step7: Question 2
Step10: Question 3
Step13: Question 4
Step15: Question 5
Step18: Do you think this query will work as intended? Why... | Python Code:
!pip install ipython-sql
%load_ext sql
%sql sqlite:///./lab06.sqlite
import sqlalchemy
engine = sqlalchemy.create_engine("sqlite:///lab05.sqlite")
connection = engine.connect()
!pip install -U okpy
from client.api.notebook import Notebook
ok = Notebook('lab06.ok')
Explanation: Lab 6: SQL
End of explan... |
15,679 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Index - Back - Next
Step1: Building a Custom Widget - Email widget
The widget framework is built on top of the Comm framework (short for communication). The Comm framework is a framework t... | Python Code:
from __future__ import print_function
Explanation: Index - Back - Next
End of explanation
from traitlets import Unicode, Bool, validate, TraitError
from ipywidgets import DOMWidget, register
@register
class Email(DOMWidget):
_view_name = Unicode('EmailView').tag(sync=True)
_view_module = Unicode('e... |
15,680 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Copyright 2017 Google LLC.
Step1: # Concepts de programmation de TensorFlow
Objectifs de formation
Step2: N'oubliez pas d'exécuter le bloc de code qui précède (les déclarations import).
A... | 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... |
15,681 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
US Treasury Yield Curve Animation
The notebook uses daily US Treasury yield data from FRED (https
Step1: Download Data and Merge into DataFrame
Step2: Construct Figure
Step3: Create Anima... | Python Code:
import matplotlib
matplotlib.use("Agg")
import fredpy as fp
import pandas as pd
import matplotlib.pyplot as plt
plt.style.use('classic')
import matplotlib.animation as animation
import os
import time
# Approximately when the program started
start_time = time.time()
# start and end dates
start_date = '1965-... |
15,682 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Week 05 - Numpy II and Scipy
Today's Agenda
Numpy II
Scipy
Numpy II
Last time in Week 05, we covered Numpy and Matplotlib. This time we will be focusing on more advanced concepts of Numpy.
S... | Python Code:
# Loading modules
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
Explanation: Week 05 - Numpy II and Scipy
Today's Agenda
Numpy II
Scipy
Numpy II
Last time in Week 05, we covered Numpy and Matplotlib. This time we will be focusing on more advanced concepts of Numpy.
End of explanatio... |
15,683 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Learning About the Singular Value Decomposition
This notebook explores the Singular Value Decomposition (SVD)
Step1: Start With A Simple Matrix
Step2: Now Take the SVD
Step3: Check U, S a... | Python Code:
# import numpy for SVD function
import numpy
# import matplotlib.pyplot for visualising arrays
import matplotlib.pyplot as plt
Explanation: Learning About the Singular Value Decomposition
This notebook explores the Singular Value Decomposition (SVD)
End of explanation
# create a really simple matrix
A = nu... |
15,684 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Análisis de redes en Python (Networkx)
Bienvenidos
Step3: Ahora le vamos a agregar nodos
Step7: Borremos los nodos
Step10: Vamos a darle nombre!
Se pueden asignar atributos a la gráfica... | Python Code:
%matplotlib inline
import networkx as nx
import matplotlib.pyplot as gr
import scipy as sc
G=nx.Graph()
G.graph
Explanation: Análisis de redes en Python (Networkx)
Bienvenidos :D
En esta sesión aprenderemos a utilizar la librería "Networkx" (http://networkx.readthedocs.io/en/networkx-1.11/index.html) que ... |
15,685 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
In this notebook I do first some data cleaning, then I perform some basic analysis of the dataset (no. cases per year, correlation population/no. of cases etc...).
<p>
I analyze finally the ... | Python Code:
import pandas as pd
import numpy as np
from sklearn import linear_model
import seaborn as sns
import matplotlib.pyplot as plt
sns.set(style="white", color_codes=True)
%matplotlib inline
Explanation: In this notebook I do first some data cleaning, then I perform some basic analysis of the dataset (no. cases... |
15,686 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Modeling and Simulation in Python
Copyright 2017 Allen Downey
License
Step1: Low pass filter
Step2: Now I'll create a Params object to contain the quantities we need. Using a Params objec... | Python Code:
# Configure Jupyter so figures appear in the notebook
%matplotlib inline
# Configure Jupyter to display the assigned value after an assignment
%config InteractiveShell.ast_node_interactivity='last_expr_or_assign'
# import functions from the modsim.py module
from modsim import *
Explanation: Modeling and Si... |
15,687 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<span style="color
Step1: Short Tutorial
Step2: The tree table
In the treeslider tool you have the option to collapse individuals from the same species or population into a single taxon us... | Python Code:
# conda install ipyrad -c bioconda
# conda install toyplot -c eaton-lab
import ipyrad.analysis as ipa
import toyplot
from ipyrad.analysis.clade_weights import *
Explanation: <span style="color:gray">ipyrad-analysis toolkit:</span> clade_weights
<h5><span style="color:red">(Reference only method)</span></h5... |
15,688 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Imagine that you are at a casino, and you find an unbalanced roulette wheel that looks like the following
Step1: After spending a significant amount of time spinning the wheel, you feel a l... | Python Code:
import random
from numba import jit
# Monte Carlo simulation function. This is defined as
# a function so the numba library can be used to speed
# up execution. Otherwise, this would run much slower.
# p1 is the probability of the first area, and s1 is the
# score of the first area, and so on. The probabil... |
15,689 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Copyright 2018 The TensorFlow Authors.
Step2: Training checkpoints
<table class="tfo-notebook-buttons" align="left">
<td>
<a target="_blank" href="https
Step3: Saving from tf.keras t... | 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... |
15,690 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Planning Observations
Planning of observations is currently a weakness in python. We have the following packages to perform this task
Step1: In order to know the altitude and azimuth of a f... | Python Code:
%matplotlib inline
import numpy as np
import math
import matplotlib.pyplot as plt
import seaborn
from astropy.io import fits
from astropy import units as u
from astropy.coordinates import SkyCoord
plt.rcParams['figure.figsize'] = (12, 8)
plt.rcParams['font.size'] = 14
plt.rcParams['lines.linewidth'] = 2
pl... |
15,691 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
ES-DOC CMIP6 Model Properties - Toplevel
MIP Era
Step1: Document Authors
Set document authors
Step2: Document Contributors
Specify document contributors
Step3: Document Publication
Specif... | Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'mohc', 'ukesm1-0-ll', 'toplevel')
Explanation: ES-DOC CMIP6 Model Properties - Toplevel
MIP Era: CMIP6
Institute: MOHC
Source ID: UKESM1-0-LL
Sub-Topics: Radiative Forcings.
Properti... |
15,692 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Find MEG reference channel artifacts
Use ICA decompositions of MEG reference channels to remove intermittent noise.
Many MEG systems have an array of reference channels which are used to det... | Python Code:
# Authors: Jeff Hanna <jeff.hanna@gmail.com>
#
# License: BSD (3-clause)
import mne
from mne import io
from mne.datasets import refmeg_noise
from mne.preprocessing import ICA
import numpy as np
print(__doc__)
data_path = refmeg_noise.data_path()
Explanation: Find MEG reference channel artifacts
Use ICA dec... |
15,693 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
verify pyEMU results with the henry problem
Step1: instaniate pyemu object and drop prior info. Then reorder the jacobian and save as binary. This is needed because the pest utilities req... | Python Code:
%matplotlib inline
import os
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import pyemu
Explanation: verify pyEMU results with the henry problem
End of explanation
la = pyemu.Schur("freyberg.jcb",verbose=False,forecasts=[])
la.drop_prior_information()
jco_ord = la.jco.get(la.pst.ob... |
15,694 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Recreate multilabel example from scikit-learn.org
This example simulates a multi-label document classification problem. The dataset is generated randomly based on the following process
Step1... | Python Code:
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
from sklearn.datasets import make_multilabel_classification
from sklearn.multiclass import OneVsRestClassifier
from sklearn.svm import SVC
from sklearn.preprocessing import LabelBinarizer
from sklearn.decomposition import PCA
from sklear... |
15,695 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Introduction
In this notebook, we will walk through a hacker's approach to statistical thinking, as applied to network analysis.
Statistics in a Nutshell
All of statistics can be broken down... | Python Code:
# Read in the data.
# Note from above that we have to skip the first two rows, and that there's no header column,and that the edges are
# delimited by spaces in between the nodes. Hence the syntax below:
G = cf.load_propro_network()
Explanation: Introduction
In this notebook, we will walk through a hacker'... |
15,696 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
CDR EDA
First, import relevant libraries
Step1: Then, load the data (takes a few moments)
Step2: The code below creates a calls-per-person frequency distribution, which is the first thing ... | Python Code:
import warnings
warnings.filterwarnings('ignore')
import numpy as np
import pandas as pd
%matplotlib inline
import matplotlib.pyplot as plt
Explanation: CDR EDA
First, import relevant libraries:
End of explanation
# Load data
df = pd.read_csv("./aws-data/firence_foreigners_3days_past_future.csv", header=No... |
15,697 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Simplifica tu vida con sistemas complejos y algoritmos genéticos
Parte 3 - El dilema Exploración - Explotación
Step1: Supongamos que esta curva representa a una función cuyo máximo buscamos... | Python Code:
%matplotlib inline
import numpy as np # Usaremos arrays
import matplotlib.pyplot as plt # Para pintar resultados
Explanation: Simplifica tu vida con sistemas complejos y algoritmos genéticos
Parte 3 - El dilema Exploración - Explotación: feedback positivo y negativo
Cuando usamos algoritmos genéticos y s... |
15,698 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Adapters example
Demonstration using the networkx adapter. This example requires installing the networkx library before continuing
Step1: Construct data and a simple Mapper
Step2: Convert... | Python Code:
import kmapper
from sklearn import datasets
import networkx as nx
Explanation: Adapters example
Demonstration using the networkx adapter. This example requires installing the networkx library before continuing:
pip install networkx
End of explanation
data = datasets.make_circles(n_samples=1000)[0]
km = km... |
15,699 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Testing string match functions
Note
Step1: Cosine Similarity
Step2: String comparison using cosine similarity https
Step3: Cosine works fine with whole words and word transposition but wi... | Python Code:
# Note - these lines added to make it work with shared Jupyter Hub instance,
# modifying the system path so that locally installed modules installed with the shell commands below will be found -
# they would need to be modified for your instance, or to install the modules normally remove the --user param... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.