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8,200 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
matplotlib의 여러가지 플롯
matplotlib는 기본적인 라인 프롯 이외에도 다양한 챠트/플롯 유형을 지원한다.
바 차트
x, y 데이터 중 하나가 카테고리 값인 경우에는 bar 명령과 barh 명령으로 바 차트(bar chart) 시각화를 할 수 있다. 가로 방향으로 바 차트를 그리려면 barh 명령을 사용한다.
자세한 내용은 ... | Python Code:
y = [2, 3, 1]
x = np.arange(len(y))
xlabel = ['A', 'B', 'C']
plt.bar(x, y, align='center') #보통은 이 명령어를 쳐야 가운데를 기준으로 x가 정렬, 설정 없으면 left가 디폴트
plt.xticks(x, xlabel);
Explanation: matplotlib의 여러가지 플롯
matplotlib는 기본적인 라인 프롯 이외에도 다양한 챠트/플롯 유형을 지원한다.
바 차트
x, y 데이터 중 하나가 카테고리 값인 경우에는 bar 명령과 barh 명령으로 바 차트(bar ch... |
8,201 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Solution from Johannes Rieke and Alex Moore¶
Step1: Exercise 1
1.
Step2: 2.
Step3: For a = 0.5, the curve is flatter; for a = 2, the curve is steeper.
3.
Picking $\mu$ = 0.1
Step4: 4.
St... | Python Code:
from __future__ import division, print_function
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
Explanation: Solution from Johannes Rieke and Alex Moore¶
End of explanation
mu = 0.2
sigma = 0.5
dt = 0.01
time = np.arange(0, 10, dt)
for i in range(5):
x = np.zeros_like(time)
fo... |
8,202 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Exercises
Step1: Exercise 1
a. Series
Given an array of data, please create a pandas Series s with a datetime index starting 2016-01-01. The index should be daily frequency and should be th... | Python Code:
# Useful Functions
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
Explanation: Exercises: Introduction to pandas
By Christopher van Hoecke, Maxwell Margenot
Lecture Link :
https://www.quantopian.com/lectures/introduction-to-pandas
IMPORTANT NOTE:
This lecture corresponds to the Intr... |
8,203 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
ES-DOC CMIP6 Model Properties - Seaice
MIP Era
Step1: Document Authors
Set document authors
Step2: Document Contributors
Specify document contributors
Step3: Document Publication
Specify ... | Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'test-institute-1', 'sandbox-1', 'seaice')
Explanation: ES-DOC CMIP6 Model Properties - Seaice
MIP Era: CMIP6
Institute: TEST-INSTITUTE-1
Source ID: SANDBOX-1
Topic: Seaice
Sub-Topics:... |
8,204 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<h1 align="center">TensorFlow Neural Network Lab</h1>
<img src="image/notmnist.png">
In this lab, you'll use all the tools you learned from Introduction to TensorFlow to label images of Engl... | Python Code:
import hashlib
import os
import pickle
from urllib.request import urlretrieve
import numpy as np
from PIL import Image
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelBinarizer
from sklearn.utils import resample
from tqdm import tqdm
from zipfile import ZipFile
p... |
8,205 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
LDA on simon's example
The LDA is a well-known probabilistic model to handle mixtures of topics in an unsupervised way. It has been applied to a large number of problems (Blei, 2012). The ... | Python Code:
from IPython.display import Image
Image(filename='lda_plate.png')
Explanation: LDA on simon's example
The LDA is a well-known probabilistic model to handle mixtures of topics in an unsupervised way. It has been applied to a large number of problems (Blei, 2012). The original paper has over 10000 citation... |
8,206 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Gas Streaming in Disks
Step2: Initialize the data
First we need to define a function that tells us the speed of the gas at a given distance from the center of the star or galaxy. We conside... | Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
import math
Explanation: Gas Streaming in Disks: circular orbit approach
The gas streaming around a young star, or in a galactic disk is dominated by gravity. So we can simply compute the orbits of a point mass around a star, or in the m... |
8,207 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Relaunched Hedge Funds
This program is a replication of Stata Script Version 0.2
Step1: Prepare Data
Step2: Analysis
Merge managers with the start/end dates
Step3: Find First End Date for... | Python Code:
import pandas as pd
from datetime import timedelta
# ****************** Program Settings ******************
Folder = "" # Location of program scripts
Data = "temp/" # Location to which temporary files are generated
DataSource = "data/" # Location of the original data files (ASCII)
Gap_Days = 60... |
8,208 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
String operations
Step1: Q1. Concatenate x1 and x2.
Step2: Q2. Repeat x three time element-wise.
Step3: Q3-1. Capitalize the first letter of x element-wise.<br/>
Q3-2. Lowercase x element... | Python Code:
from __future__ import print_function
import numpy as np
author = "kyubyong. https://github.com/Kyubyong/numpy_exercises"
np.__version__
Explanation: String operations
End of explanation
x1 = np.array(['Hello', 'Say'], dtype=np.str)
x2 = np.array([' world', ' something'], dtype=np.str)
Explanation: Q1. Con... |
8,209 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
metachars
. any char
\w any alphanumeric (a-z, A-Z, 0-9, _)
\s any whitespace char (" _, \t, \n)
\S any nonwhitespace
\d any digit (0-9)
. searches for an actual period
Step1: define your o... | Python Code:
#subject lines that have dates, e.g. 12/01/99
[line for line in subjects if re.search("\d\d/\d\d/\d\d", line)]
Explanation: metachars
. any char
\w any alphanumeric (a-z, A-Z, 0-9, _)
\s any whitespace char (" _, \t, \n)
\S any nonwhitespace
\d any digit (0-9)
. searches for an actual period
End of explana... |
8,210 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Multi-objective memetic approach
In this third tutorial we consider an example with two dimensional input data and we approach its solution using a multi-objective approach where, aside the ... | Python Code:
# Some necessary imports.
import dcgpy
import pygmo as pg
# Sympy is nice to have for basic symbolic manipulation.
from sympy import init_printing
from sympy.parsing.sympy_parser import *
init_printing()
# Fundamental for plotting.
from matplotlib import pyplot as plt
%matplotlib inline
Explanation: Multi-... |
8,211 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
From http
Step1: Array operations are very similar to that of the Python list. For example, the following code snippet creates a Python list and then converts it to a NumPy array
Step2: In... | Python Code:
import numpy as np
Explanation: From http://www.codemag.com/article/1611081
<h1>NumPy Array Basics</h1>
In NumPy, an array is of type ndarray (n-dimensional array). A NumPy array is an array of homogeneous values (all of the same type), and all items occupy a contiguous block of memory.
To use NumPy, you f... |
8,212 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<div class="alert alert-block alert-info" style="margin-top
Step1: <a id="ref0"></a>
<h2> Logistic Function </h2>
Step2: Create a tensor ranging from -100 to 100
Step3: Create a sigmoid o... | Python Code:
import torch.nn as nn
import torch
import matplotlib.pyplot as plt
Explanation: <div class="alert alert-block alert-info" style="margin-top: 20px">
<a href="http://cocl.us/pytorch_link_top"><img src = "http://cocl.us/Pytorch_top" width = 950, align = "center"></a>
<img src = "https://ibm.box.com/shared/s... |
8,213 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
FullAdder - Combinational Circuits
This notebook walks through the implementation of a basic combinational circuit, a full adder. This example introduces many of the features of Magma includ... | Python Code:
import magma as m
import mantle
Explanation: FullAdder - Combinational Circuits
This notebook walks through the implementation of a basic combinational circuit, a full adder. This example introduces many of the features of Magma including circuits, wiring, operators, and the type system.
Start by importing... |
8,214 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Convolutional Autoencoder
Sticking with the MNIST dataset, let's improve our autoencoder's performance using convolutional layers. Again, loading modules and the data.
Step1: Network Archit... | Python Code:
%matplotlib inline
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets('MNIST_data', validation_size=0)
img = mnist.train.images[2]
plt.imshow(img.reshape((28, 28)), cmap='Greys_r')
Explanati... |
8,215 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Add2 Circuit
Now let's build a 2-bit adder using full_adder.
We'll use a simple ripple carry adder design by connecting the carry out of one full adder
to the carry in of the next full adde... | Python Code:
import ast_tools
from ast_tools.transformers.loop_unroller import unroll_for_loops
from ast_tools.passes import begin_rewrite, end_rewrite, loop_unroll
@m.circuit.combinational
def full_adder(A: m.Bit, B: m.Bit, C: m.Bit) -> (m.Bit, m.Bit):
return A ^ B ^ C, A & B | B & C | C & A # sum, carry
@m.circu... |
8,216 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Step1: Fully-Connected Neural Nets
In the previous homework you implemented a fully-connected two-layer neural network on CIFAR-10. The implementation was simple but not very modular since t... | Python Code:
# As usual, a bit of setup
from __future__ import print_function
import time
import numpy as np
import matplotlib.pyplot as plt
from cs231n.classifiers.fc_net import *
from cs231n.data_utils import get_CIFAR10_data
from cs231n.gradient_check import eval_numerical_gradient, eval_numerical_gradient_array
fro... |
8,217 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Why the proper Z function fails to show convergence
We will here investigate why the function called "properZ" fails to give convergence.
Initialize
Step1: The function called "proper Z" (a... | Python Code:
%matplotlib notebook
from IPython.display import display
from sympy import init_printing
from sympy import S, Eq, Limit
from sympy import sin, cos, tanh, pi
from sympy import symbols
from boutdata.mms import x, z
init_printing()
Explanation: Why the proper Z function fails to show convergence
We will here ... |
8,218 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Removing Duplicates from a Sequence while Maintaining Order
Problem
You want to eliminate the duplicate values in a sequence, but preserve the order of the remaining items.
Solution
If the v... | Python Code:
def dedupe(items):
seen = set()
for item in items:
if item not in seen:
yield item
seen.add(item)
a = [1, 5, 2, 1, 9, 1, 5, 10]
list(dedupe(a))
Explanation: Removing Duplicates from a Sequence while Maintaining Order
Problem
You want to eliminate the duplicate valu... |
8,219 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Exploring data
Names of group members
// Put your names here!
Goals of this assignment
The purpose of this assignment is to explore data using visualization and statistics.
Section 1
The f... | Python Code:
# put your code here, and add additional cells as necessary.
Explanation: Exploring data
Names of group members
// Put your names here!
Goals of this assignment
The purpose of this assignment is to explore data using visualization and statistics.
Section 1
The file datafile_1.csv contains a three-dimensi... |
8,220 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Cheatsheet for Decision Tree Classification
Algorithm
Start at the root node as parent node
Split the parent node at the feature a to minimize the sum of the child node impurities (maximize ... | Python Code:
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
def entropy(p):
return - p*np.log2(p) - (1 - p)*np.log2((1 - p))
x = np.arange(0.0, 1.0, 0.01)
ent = [entropy(p) if p != 0 else None for p in x]
plt.plot(x, ent)
plt.ylim([0,1.1])
plt.xlabel('p(i=1)')
plt.axhline(y=1.0, linewidth=1, ... |
8,221 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Learning to tokenize in Vision Transformers
Authors
Step1: Hyperparameters
Please feel free to change the hyperparameters and check your results. The best way to
develop intuition about the... | Python Code:
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
import tensorflow_addons as tfa
from datetime import datetime
import matplotlib.pyplot as plt
import numpy as np
import math
Explanation: Learning to tokenize in Vision Transformers
Authors: Aritra Roy Gosthipaty, Saya... |
8,222 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
In the last chapter, our tests failed. This time we'll go about fixing them.
Our First Django App, and Our First Unit Test
Django encourages you to structure your code into apps
Step1: Unit... | Python Code:
#%cd ../examples/superlists/
# Make a new app called lists
#!python3 manage.py startapp lists
!tree .
Explanation: In the last chapter, our tests failed. This time we'll go about fixing them.
Our First Django App, and Our First Unit Test
Django encourages you to structure your code into apps: the theory is... |
8,223 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Sveučilište u Zagrebu<br>
Fakultet elektrotehnike i računarstva
Strojno učenje
<a href="http
Step1: Sadržaj
Step2: Linearno zavisne varijable imaju $\rho$ blizu $1$ ili $-1$. Međutim, neli... | Python Code:
import scipy as sp
import scipy.stats as stats
import matplotlib.pyplot as plt
from numpy.random import normal
%pylab inline
Explanation: Sveučilište u Zagrebu<br>
Fakultet elektrotehnike i računarstva
Strojno učenje
<a href="http://www.fer.unizg.hr/predmet/su">http://www.fer.unizg.hr/predmet/su</a>
Ak. go... |
8,224 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Apply logistic regression to categorize whether a county had high mortality rate due to contamination
1. Import the necessary packages to read in the data, plot, and create a logistic regres... | Python Code:
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
import numpy as np
from sklearn.linear_model import LogisticRegression
Explanation: Apply logistic regression to categorize whether a county had high mortality rate due to contamination
1. Import the necessary packages to read in the da... |
8,225 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
선형 회귀 분석의 기초
결정론적 모형은 그냥 함수를 찾는 것. 간단한 함수부터 시작을 한다. 간단한 함수는 선형식을 의미하는 듯
선형 회귀 분석은 부호, 크기, 관계 등을 알려주기 때문에 불안전하다는 단점에도 불구하고 잘 쓰이고 있다. 비선형회귀분석의 문제점으로는 overfitting 현상이 발생한다는 점. 그리고 방법도 너무 많다는 점
... | Python Code:
from sklearn.datasets import make_regression
bias = 100
X0, y, coef = make_regression(n_samples=100, n_features=1, bias=bias, noise=10, coef=True, random_state=1)
X = np.hstack([np.ones_like(X0), X0])
X[:5]
Explanation: 선형 회귀 분석의 기초
결정론적 모형은 그냥 함수를 찾는 것. 간단한 함수부터 시작을 한다. 간단한 함수는 선형식을 의미하는 듯
선형 회귀 분석은 부호, 크... |
8,226 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
STEM Introduction
This notebook demonstrates how to do a basic STEM simulation using PyQSTEM with ASE.
Step1: We create an orthorhombic unit cell of MoS2. The unit cell is repeated 3x3 time... | Python Code:
from __future__ import print_function
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
import matplotlib as mpl
from ase.io import read
from pyqstem.util import atoms_plot
from pyqstem import PyQSTEM
from ase.build import mx2
mpl.... |
8,227 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Copyright 2018 The TensorFlow Authors.
Step1: Regression
Step2: The Auto MPG dataset
The dataset is available from the UCI Machine Learning Repository.
Get the data
First download the data... | 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... |
8,228 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Algorithms Exercise 2
Imports
Step2: Peak finding
Write a function find_peaks that finds and returns the indices of the local maxima in a sequence. Your function should
Step3: Here is a st... | Python Code:
%matplotlib inline
from matplotlib import pyplot as plt
import seaborn as sns
import numpy as np
Explanation: Algorithms Exercise 2
Imports
End of explanation
s=[]
i=0
def find_peaks(a):
Find the indices of the local maxima in a sequence.
# YOUR CODE HERE
if a[0]>a[1]: #if the first number is b... |
8,229 | 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', 'nerc', 'sandbox-1', 'toplevel')
Explanation: ES-DOC CMIP6 Model Properties - Toplevel
MIP Era: CMIP6
Institute: NERC
Source ID: SANDBOX-1
Sub-Topics: Radiative Forcings.
Properties: ... |
8,230 | 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', 'noaa-gfdl', 'gfdl-cm4', 'ocean')
Explanation: ES-DOC CMIP6 Model Properties - Ocean
MIP Era: CMIP6
Institute: NOAA-GFDL
Source ID: GFDL-CM4
Topic: Ocean
Sub-Topics: Timestepping Frame... |
8,231 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
A Decision Tree of Observable Operators
Part 1
Step1: ..that was returned from a function called at subscribe-time
Step2: ..that was returned from an Action, Callable, Runnable, or somethi... | Python Code:
reset_start_time(O.just)
stream = O.just({'answer': rand()})
disposable = subs(stream)
sleep(0.5)
disposable = subs(stream) # same answer
# all stream ops work, its a real stream:
disposable = subs(stream.map(lambda x: x.get('answer', 0) * 2))
Explanation: A Decision Tree of Observable Operators
Part 1: NE... |
8,232 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Autoregressive Moving Average (ARMA)
Step1: Generate some data from an ARMA process
Step2: The conventions of the arma_generate function require that we specify a 1 for the zero-lag of the... | Python Code:
%matplotlib inline
from __future__ import print_function
import numpy as np
import statsmodels.api as sm
import pandas as pd
from statsmodels.tsa.arima_process import arma_generate_sample
np.random.seed(12345)
Explanation: Autoregressive Moving Average (ARMA): Artificial data
End of explanation
arparams = ... |
8,233 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Basic Relative Permeability Example in 2D
This example using invasion percolation to invade air (non-wetting) into a water-filled (wetting) 2D network. Being in 2D helps with visualization ... | Python Code:
import warnings
import scipy as sp
import numpy as np
import openpnm as op
import matplotlib.pyplot as plt
np.set_printoptions(precision=4)
np.random.seed(10)
%matplotlib inline
ws = op.Workspace()
ws.settings["loglevel"] = 40
Explanation: Basic Relative Permeability Example in 2D
This example using invasi... |
8,234 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<font color='blue'>Data Science Academy - Python Fundamentos - Capítulo 5</font>
Download
Step1: Objetos
Em Python, tudo é objeto! | Python Code:
# Versão da Linguagem Python
from platform import python_version
print('Versão da Linguagem Python Usada Neste Jupyter Notebook:', python_version())
Explanation: <font color='blue'>Data Science Academy - Python Fundamentos - Capítulo 5</font>
Download: http://github.com/dsacademybr
End of explanation
# Cri... |
8,235 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Reading the data
Step1: Build clustering model
Here we build a kmeans model , and select the "optimal" of clusters.
Here we see that the optimal number of clusters is 2.
Step2: Build the o... | Python Code:
#contributions = pd.read_json(path_or_buf='../data/EGALITE4.brut.json', orient="columns")
def loadContributions(file, withsexe=False):
contributions = pd.read_json(path_or_buf=file, orient="columns")
rows = [];
rindex = [];
for i in range(0, contributions.shape[0]):
row = {};
... |
8,236 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
What is Pandas?
One of the best options for working with tabular data in Python is to use the Python Data Analysis Library (a.k.a. Pandas). The Pandas library provides data structures, produ... | Python Code:
#Import the package
import pandas as pd
Explanation: What is Pandas?
One of the best options for working with tabular data in Python is to use the Python Data Analysis Library (a.k.a. Pandas). The Pandas library provides data structures, produces high quality plots with matplotlib and integrates nicely wit... |
8,237 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Option chains
Step1: Suppose we want to find the options on the SPX, with the following conditions
Step2: To avoid issues with market data permissions, we'll use delayed data
Step3: Then ... | Python Code:
from ib_insync import *
util.startLoop()
ib = IB()
ib.connect('127.0.0.1', 7497, clientId=12)
Explanation: Option chains
End of explanation
spx = Index('SPX', 'CBOE')
ib.qualifyContracts(spx)
Explanation: Suppose we want to find the options on the SPX, with the following conditions:
Use the next three mont... |
8,238 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
HIV Methylation Age Advancement
Step1: Looking at Predicted Time of Onset
The idea of age acceleration, only really makes sense in this context as a person should age normally until the ons... | Python Code:
import NotebookImport
from IPython.display import clear_output
from HIV_Age_Advancement import *
from Setup.DX_Imports import *
import statsmodels.api as sm
import seaborn as sns
sns.set_context("paper", font_scale=1.7, rc={"lines.linewidth": 2.5})
sns.set_style("white")
Explanation: HIV Methylation Age Ad... |
8,239 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
What is a Jupyter Notebook?
From the Jupyter website (http
Step1: Text can be entered into cells by designating it for markdown, allowing simple formatting.
It is also possible to enter Lat... | Python Code:
# code goes into these boxes ("cells")
# cells are executed consecutively, with the output printed immediately beneath the cell
print("Welcome to SMARTFest 2018!")
Explanation: What is a Jupyter Notebook?
From the Jupyter website (http://jupyter.org):
The Jupyter Notebook is an open-source web application ... |
8,240 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Illustrates numpy vs einsum
In deep learning, we perform a lot of tensor operations. einsum simplifies and unifies the APIs for these operations.
einsum can be found in numerical computation... | Python Code:
import numpy as np
from numpy import einsum
w = np.arange(6).reshape(2,3).astype(np.float32)
x = np.ones((3,1), dtype=np.float32)
print("w:\n", w)
print("x:\n", x)
y = np.matmul(w, x)
print("y:\n", y)
y = einsum('ij,jk->ik', torch.from_numpy(w), torch.from_numpy(x))
print("y:\n", y)
Explanation: Illustrate... |
8,241 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Step1: Language Translation
In this project, you’re going to take a peek into the realm of neural network machine translation. You’ll be training a sequence to sequence model on a dataset o... | Python Code:
DON'T MODIFY ANYTHING IN THIS CELL
import helper
import problem_unittests as tests
source_path = 'data/small_vocab_en'
target_path = 'data/small_vocab_fr'
source_text = helper.load_data(source_path)
target_text = helper.load_data(target_path)
Explanation: Language Translation
In this project, you’re going ... |
8,242 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Neural Network
<img style="float
Step1: Initialize Weights
Let's start looking at some initial weights.
All Zeros or Ones
If you follow the principle of Occam's razor, you might think setti... | Python Code:
# Save the shapes of weights for each layer
layer_1_weight_shape = (mnist.train.images.shape[1], 256)
layer_2_weight_shape = (256, 128)
layer_3_weight_shape = (128, mnist.train.labels.shape[1])
Explanation: Neural Network
<img style="float: left" src="images/neural_network.png"/>
For the neural network, we... |
8,243 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
iching is a packge developed by Cheng-Jun Wang. It employs the method of Shicao prediction to reproce the prediction of I Ching--the Book of Exchanges. The I Ching ([î tɕíŋ]; Chinese
Step1... | Python Code:
from iching import iching
from datetime import date
today = date.today()
today = str(today).replace('-', '')
birthtoday = int('19850526' + today)
iching.ichingDate(birthtoday)
fixPred, changePred = iching.getPredict()
print iching.ichingName(fixPred, changePred )， iching.ichingText(fixPred, iching)
ich... |
8,244 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
2.0 - Evaluate RnR Performance
Simple example which will
Step1: Set RnR Cluster ID
Refer to the sample notebook 1.0 - Create RnR Cluster & Train Ranker for help setting up a cluster.
Step2:... | Python Code:
import sys
from os import path, getcwd
import json
from tempfile import mkdtemp
import glob
sys.path.extend([path.abspath(path.join(getcwd(), path.pardir))])
from rnr_debug_helpers.utils.rnr_wrappers import RetrieveAndRankProxy, \
RankerProxy
from rnr_debug_helpers.utils.io_helpers import load_config, ... |
8,245 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
This shows how to have some data and update priors form posterious as we get more data
NOTE this requires Pymc3 3.1
Updating priors
In this notebook, I will show how it is possible to update... | Python Code:
# pymc3.distributions.DensityDist?
import matplotlib.pyplot as plt
import matplotlib as mpl
from pymc3 import Model, Normal, Slice
from pymc3 import sample
from pymc3 import traceplot
from pymc3.distributions import Interpolated
from theano import as_op
import theano.tensor as tt
import numpy as np
from sc... |
8,246 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Logistic Regression with a Neural Network mindset
Welcome to your first (required) programming assignment! You will build a logistic regression classifier to recognize cats. This assignment... | Python Code:
import numpy as np
import matplotlib.pyplot as plt
import h5py
import scipy
from PIL import Image
from scipy import ndimage
from lr_utils import load_dataset
%matplotlib inline
Explanation: Logistic Regression with a Neural Network mindset
Welcome to your first (required) programming assignment! You will b... |
8,247 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
MD Top 15 violations by total revenue (revenue and total)
Step1: Areas to explore
Failure to secure dc tags --- huge revenue maker
Residential Parking beyond permit period
Park at Expired M... | Python Code:
dc_df = df[(df.rp_plate_state.isin(['MD']))]
dc_fines = dc_df.groupby(['violation_code']).fine.sum().reset_index('violation_code')
fine_codes_15 = dc_fines.sort_values(by='fine', ascending=False)[:15]
top_codes = dc_df[dc_df.violation_code.isin(fine_codes_15.violation_code)]
top_violation_by_state = top_co... |
8,248 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Python Analysis Evaluation
Author
Step1: Process AQS for evaluation
Download annual zip file(s)
Unzip
Use sed, grep, or awk to get spatial/temporal subset
Reshape data
Missing data should b... | Python Code:
# Prepare my slides
%pylab inline
%cd working
Explanation: Python Analysis Evaluation
Author: Barron H. Henderson
End of explanation
!pncaqsraw4pnceval.py --help
Explanation: Process AQS for evaluation
Download annual zip file(s)
Unzip
Use sed, grep, or awk to get spatial/temporal subset
Reshape data
Missi... |
8,249 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Catalog
Step1: Setup OpenCGA Variables
Once we have defined a variable with the client configuration and credentials, we can access to all the methods defined for the client. These methods ... | Python Code:
## Step 1. Import pyopencga dependecies
from pyopencga.opencga_config import ClientConfiguration # import configuration module
from pyopencga.opencga_client import OpencgaClient # import client module
from pprint import pprint
from IPython.display import JSON
import matplotlib.pyplot as plt
import seaborn ... |
8,250 | 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', 'inpe', 'sandbox-1', 'atmos')
Explanation: ES-DOC CMIP6 Model Properties - Atmos
MIP Era: CMIP6
Institute: INPE
Source ID: SANDBOX-1
Topic: Atmos
Sub-Topics: Dynamical Core, Radiation,... |
8,251 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Video Codec Unit (VCU) Demo Example
Step1: Run the Demo
Step2: Insert input file path and host IP
Step3: Output Format
Step4: Advanced options | Python Code:
from IPython.display import HTML
HTML('''<script>
code_show=true;
function code_toggle() {
if (code_show){
$('div.input').hide();
} else {
$('div.input').show();
}
code_show = !code_show
}
$( document ).ready(code_toggle);
</script>
<form action="javascript:code_toggle()"><input type="submit" value... |
8,252 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Copyright 2018 The TensorFlow Authors.
Step1: Running TFLite models
<table class="tfo-notebook-buttons" align="left">
<td>
<a target="_blank" href="https
Step2: Create a basic model ... | 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... |
8,253 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Blind Source Separation with the Shogun Machine Learning Toolbox
By Kevin Hughes
This notebook illustrates <a href="http
Step1: Next we're going to need a way to play the audio files we're ... | Python Code:
import numpy as np
import os
SHOGUN_DATA_DIR=os.getenv('SHOGUN_DATA_DIR', '../../../data')
from scipy.io import wavfile
from scipy.signal import resample
def load_wav(filename,samplerate=44100):
# load file
rate, data = wavfile.read(filename)
# convert stereo to mono
if len(data.shape)... |
8,254 | 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 mrb00l34n. Source and license info is on GitHub.</i></small>
Challenge Notebook
Problem
Step1: Unit Test
The following unit test is expected to fail ... | Python Code:
def change_ways(n, coins):
# TODO: Implement me
return n
Explanation: <small><i>This notebook was prepared by mrb00l34n. Source and license info is on GitHub.</i></small>
Challenge Notebook
Problem: Counting Ways of Making Change
Explanation
Test Cases
Algorithm
Code
Unit Test
Solution Notebook
Exp... |
8,255 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Tarea 1
Step1: Ejercicio1
Escribe los metodos repr y str para la clase Array de forma que se imprima legiblemente como en numpy arrays.
Step2: Ejercicio2
Escribe el metodo setitem para que... | Python Code:
class Array:
"Una clase minima para algebra lineal"
def __init__(self, list_of_rows):
"Constructor y validador"
# obtener dimensiones
self.data = list_of_rows
nrow = len(list_of_rows)
# ___caso vector: redimensionar correctamente
if not... |
8,256 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Building your Deep Neural Network
Step2: 2 - Outline of the Assignment
To build your neural network, you will be implementing several "helper functions". These helper functions will be used... | Python Code:
import numpy as np
import h5py
import matplotlib.pyplot as plt
from testCases import *
from dnn_utils import sigmoid, sigmoid_backward, relu, relu_backward
%matplotlib inline
plt.rcParams['figure.figsize'] = (5.0, 4.0) # set default size of plots
plt.rcParams['image.interpolation'] = 'nearest'
plt.rcParams... |
8,257 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
The Forward Euler method for first order differential equations
$$$$
The Euler method (also called forward Euler method) is a first-order numerical procedure for solving ordinary differentia... | Python Code:
import math
Explanation: The Forward Euler method for first order differential equations
$$$$
The Euler method (also called forward Euler method) is a first-order numerical procedure for solving ordinary differential equations (ODEs) with a given initial value.
End of explanation
def forward_euler(f, x0, y... |
8,258 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
These are the URLs for the JSON data powering the ESRI/ArcGIS maps.
Step1: We need a way to easily extract the actual data points from the JSON. The data will actually contain multiple laye... | Python Code:
few_crashes_url = 'http://www.arcgis.com/sharing/rest/content/items/5a8841f92e4a42999c73e9a07aca0c23/data?f=json&token=lddNjwpwjOibZcyrhJiogNmyjIZmzh-pulx7jPD9c559e05tWo6Qr8eTcP7Deqw_CIDPwZasbNOCSBHfthynf-8WRMmguxHbIFptbZQvnpRupJHSY8Abrz__xUteBS93MitgvoU6AqSN5eDVKRYiUg..'
removed_url = 'http://www.arcgis.c... |
8,259 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Tables to Networks, Networks to Tables
Networks can be represented in a tabular form in two ways
Step1: At this point, we have our stations and trips data loaded into memory.
How we constr... | Python Code:
import zipfile
# This block of code checks to make sure that a particular directory is present.
if "divvy_2013" not in os.listdir('datasets/'):
print('Unzipping the divvy_2013.zip file in the datasets folder.')
with zipfile.ZipFile("datasets/divvy_2013.zip","r") as zip_ref:
zip_ref.extracta... |
8,260 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Performance optimization overview
The purpose of this tutorial is twofold
Illustrate the performance optimizations applied to the code generated by an Operator.
Describe the options Devito p... | Python Code:
from examples.performance import unidiff_output, print_kernel
Explanation: Performance optimization overview
The purpose of this tutorial is twofold
Illustrate the performance optimizations applied to the code generated by an Operator.
Describe the options Devito provides to users to steer the optimization... |
8,261 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
This notebook is meant to test the functions written in python to analyze AFiNES simulation output. It's going to be messy, but so it goes...
Step1: First a test of the readData function th... | Python Code:
import os
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
%matplotlib notebook
import pandas as pd
import h5py
import afinesanalysis.afinesanalysis as aa
Explanation: This notebook is meant to test the functions written in python to analyze AFiNES simulation output. It's going t... |
8,262 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
```python
R = 40.
H = 60
x_w = 0.
y_w = 60.
f = lambda x,y
Step1: Monte-Carlo integration
Step2: Cartessian Gausss-Legendre quadrature
Step3: integrating before in y
Step5: Radial Gauss-... | Python Code:
R = 40.
H = 60
x_w = 30.
y_w = 90.
Rw = 20
seed = 1
def f(x,y):
np.random.seed(seed)
return - 3.*np.exp( -((x-x_w)**2. + (y-y_w)**2.)/(Rw**2.) ) + \
- 3.*np.exp( -((x-30)**2. + (y-40)**2.)/(20**2.) ) + \
- 1.5*np.exp( -((x-np.random.uniform(-60,60))**2. + (y-np.random.uniform(... |
8,263 |
Given the following text problem statement, write Python code to implement the functionality described below in problem statement
Problem:
SVM Hyperparameter Tuning - Using GridSearchCV to Tune a SVC Model
| Python Code::
from sklearn.svm import SVC
from sklearn.metrics import classification_report
from sklearn.model_selection import GridSearchCV
# declare parameter ranges to try
params = {'C':[1, 2, 3],
'kernel':['linear', 'poly', 'rbf']}
# initialise estimator
svm_classifier = SVC(class_weight='balanced')
# ini... |
8,264 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<h1 align="center">Theanets</h1>
<h4 align="center">Korepanova Natalia</h4>
<h5 align="center">Moscow, 2015</h5>
The theanets is a deep learning and neural network toolkit.
Written in Python... | Python Code:
import theanets
# 1. create a model -- here, a regression model.
net = theanets.Regressor([10, 100, 2])
# optional: set up additional losses.
net.add_loss('mae', weight=0.1)
# 2. train the model.
net.train(
training_data,
validation_data,
algo='rmsprop',
hidden_l1=0.01, # apply a regulariz... |
8,265 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Fetch the data from NewsroomDB
NewsroomDB is the Tribune's proprietary database for tracking data that needs to be manually entered and validated rather than something that can be ingested f... | Python Code:
import os
import requests
# A big object to hold all our data between steps
data = {}
def get_table_url(table_name, base_url=os.environ['NEWSROOMDB_URL']):
return '{}table/json/{}'.format(os.environ['NEWSROOMDB_URL'], table_name)
def get_table_data(table_name):
url = get_table_url(table_name)
... |
8,266 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
INDIA, G-20 AND THE WORLD - Statistical Year Book India 2016
Navigation Path
Step1: Data Cleanup
Step2: Experiments
Step3: Ideas
Show top 5 countries
Show only comparable countries
Step4... | Python Code:
%%sh
# ls -l ~/Downloads/G20*csv
# mv ~/Downloads/G20*csv G20.csv
Explanation: INDIA, G-20 AND THE WORLD - Statistical Year Book India 2016
Navigation Path: Home > Statistical Year Book India 2016 > INDIA, G-20 AND THE WORLD
The G20 (or G-20 or Group of Twenty) is an international forum for the governmen... |
8,267 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Retrain a CNN, part 2.2, using bottleneck features
https
Step1: This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.i... | Python Code:
import warnings
warnings.filterwarnings('ignore')
%matplotlib inline
%pylab inline
import matplotlib.pylab as plt
import numpy as np
from distutils.version import StrictVersion
import sklearn
print(sklearn.__version__)
assert StrictVersion(sklearn.__version__ ) >= StrictVersion('0.18.1')
import tensorflow ... |
8,268 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Bins Mark
This Mark is essentially the same as the Hist Mark from a user point of view, but is actually a Bars instance that bins sample data.
The difference with Hist is that the binning is... | Python Code:
# Create a sample of Gaussian draws
np.random.seed(0)
x_data = np.random.randn(1000)
Explanation: Bins Mark
This Mark is essentially the same as the Hist Mark from a user point of view, but is actually a Bars instance that bins sample data.
The difference with Hist is that the binning is done in the backen... |
8,269 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
The Alien Blaster problem
This notebook presents solutions to exercises in Think Bayes.
Copyright 2016 Allen B. Downey
MIT License
Step1: Part One
In preparation for an alien invasion, the ... | Python Code:
from __future__ import print_function, division
% matplotlib inline
import warnings
warnings.filterwarnings('ignore')
import numpy as np
from thinkbayes2 import Hist, Pmf, Cdf, Suite, Beta
import thinkplot
Explanation: The Alien Blaster problem
This notebook presents solutions to exercises in Think Bayes.
... |
8,270 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Variational Autoencoder Tutorial in TensorFlow
David Zoltowski
The tutorial is organized in the following manner
Step1: When defining the model we will define many sets of weight and bias p... | Python Code:
import numpy as np
import tensorflow as tf
# import MNIST data
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets('MNIST_data', one_hot=True)
Explanation: Variational Autoencoder Tutorial in TensorFlow
David Zoltowski
The tutorial is organized in the following man... |
8,271 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<div style="width
Step1: Try reading extracted data with Xarray
Step2: Try plotting the LambertConformal data with Cartopy | Python Code:
import matplotlib.pyplot as plt
import numpy as np
%matplotlib inline
# Resolve the latest HRRR dataset
from siphon.catalog import get_latest_access_url
hrrr_catalog = "http://thredds.ucar.edu/thredds/catalog/grib/NCEP/HRRR/CONUS_2p5km/catalog.xml"
latest_hrrr_ncss = get_latest_access_url(hrrr_catalog, "Ne... |
8,272 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Variable Names
Before moving on, let's say a few things about variable names. If you want to name some object in Python you have to abide by a few 'concrete' rules
Step1: In addition to the... | Python Code:
print = 10.20 # Rule 1: "print" is a reserved word in Python and therefore we cannot use it.
0sales = 10.20 # Rule 2: cannot start a name with a number.
this has spaces = 10.20 # Rule 2: space character is punctation.
thisnamehasa+init = 10.20 # Rule 3: Fails because "+" is a s... |
8,273 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Лабораторные работы
DES
DES - блочный алгоритм для симметричного шифрования.
- Работает на блоках данных по 64 бита
- Размер ключа - 64 бита (56 бит + 8 проверочных (parity bits))
... | Python Code:
import bitarray
import itertools
from collections import deque
class DES(object):
_initial_permutation = [
58, 50, 42, 34, 26, 18, 10, 2,
60, 52, 44, 36, 28, 20, 12, 4,
62, 54, 46, 38, 30, 22, 14, 6,
64, 56, 48, 40, 32, 24, 16, 8,
57, 49, 41, 33, 25, 17, 9, 1,
... |
8,274 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
SVHN Preprocessing
This notebook implements SVHN pre-processing. The key steps are
Step1: The following code reads the images and crops according to the steps above. Then it encodes the lab... | Python Code:
import scipy.ndimage as img
import scipy.misc as misc
import h5py
import numpy as np
import matplotlib.pyplot as plt
import random as rnd
import os
import sklearn.preprocessing as skproc
from sklearn.preprocessing import OneHotEncoder
from sklearn.preprocessing import scale
import DigitStructFile
import cP... |
8,275 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Multi-task recommenders
Learning Objectives
1. Training a model which focuses on ratings.
2. Training a model which focuses on retrieval.
3. Training a joint model that assigns positiv... | Python Code:
# Installing the necessary libraries.
!pip install -q tensorflow-recommenders
!pip install -q --upgrade tensorflow-datasets
Explanation: Multi-task recommenders
Learning Objectives
1. Training a model which focuses on ratings.
2. Training a model which focuses on retrieval.
3. Training a joint model ... |
8,276 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Red bipartita de usuarios y palabras
Autor
Step2: Número de nodos y enlaces
Código para leer el archivo de texto con la red y a partir del mismo obtener un arreglo con los enlaces y sus res... | Python Code:
# Librerías necesarias para correr el proyecto
import networkx as nx
from networkx.algorithms import bipartite
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import operator
import community
from scipy.stats import powerlaw
%matplotlib inline
sns.set()
Explanation: Red bipartita d... |
8,277 | 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', 'bcc', 'bcc-esm1', 'atmos')
Explanation: ES-DOC CMIP6 Model Properties - Atmos
MIP Era: CMIP6
Institute: BCC
Source ID: BCC-ESM1
Topic: Atmos
Sub-Topics: Dynamical Core, Radiation, Tur... |
8,278 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Compute site visits
This notebook computes the number of visits at each sample site from an excel file exported from an online database (arcgis online) of site visits.
Required pacakges
<a h... | Python Code:
excel_filepath = ""
csv_output_filepath = ""
Explanation: Compute site visits
This notebook computes the number of visits at each sample site from an excel file exported from an online database (arcgis online) of site visits.
Required pacakges
<a href="https://github.com/pydata/pandas">pandas</a>
Variable ... |
8,279 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
MNIST in Keras with Tensorboard
This sample trains an "MNIST" handwritten digit
recognition model on a GPU or TPU backend using a Keras
model. Data are handled using the tf.data.Datset API.... | Python Code:
BATCH_SIZE = 64
LEARNING_RATE = 0.002
# GCS bucket for training logs and for saving the trained model
# You can leave this empty for local saving, unless you are using a TPU.
# TPUs do not have access to your local instance and can only write to GCS.
BUCKET="" # a valid bucket name must start with gs://
tr... |
8,280 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
01 - Raw Scraping
What we do here is the scraping of the Swiss Parliament website from the hierarchy described in the metadata we were given. We were able to create a typical URL from which ... | Python Code:
from bs4 import BeautifulSoup
import urllib.request
import pandas as pd
import html5lib
from lxml import *
import numpy as np
import xmljson
from xmljson import badgerfish as bf
from json import *
import xml.etree.ElementTree as ET
from io import StringIO
import webbrowser
import requests
import os as os... |
8,281 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Save this file as studentid1_studentid2_lab#.ipynb
(Your student-id is the number shown on your student card.)
E.g. if you work with 3 people, the notebook should be named
Step1: Lab 3
Step... | Python Code:
NAME = "Michelle Appel"
NAME2 = "Verna Dankers"
NAME3 = "Yves van Montfort"
EMAIL = "michelle.appel@student.uva.nl"
EMAIL2 = "verna.dankers@student.uva.nl"
EMAIL3 = "yves.vanmontfort@student.uva.nl"
Explanation: Save this file as studentid1_studentid2_lab#.ipynb
(Your student-id is the number shown on your... |
8,282 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
In this Notebook Gaussian Naive Bayes is used on wisconsin cancer dataset to classify if it is Malignant or Benign
In the following pandas is used for showing our dataset. We are going to do... | Python Code:
import pandas as pd
df = pd.read_csv('https://archive.ics.uci.edu/ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data', header=None)
Explanation: In this Notebook Gaussian Naive Bayes is used on wisconsin cancer dataset to classify if it is Malignant or Benign
In the following pandas is used fo... |
8,283 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<div class="alert alert-block alert-info" style="margin-top
Step1: <a id="ref0"></a>
<h2 align=center>Get Some Data </h2>
Create polynomial dataset objects
Step2: Create a dataset object
S... | Python Code:
import torch
import matplotlib.pyplot as plt
import torch.nn as nn
import numpy as np
Explanation: <div class="alert alert-block alert-info" style="margin-top: 20px">
<a href="http://cocl.us/pytorch_link_top"><img src = "http://cocl.us/Pytorch_top" width = 950, align = "center"></a>
<img src = "https://ib... |
8,284 | Given the following text problem statement, write Python code to implement the functionality described below in problem statement
Problem:
I have the following dataframe: | Problem:
import pandas as pd
df = pd.DataFrame({'key1': ['a', 'a', 'b', 'b', 'a', 'c'],
'key2': ['one', 'two', 'one', 'two', 'one', 'two']})
def g(df):
return df.groupby('key1')['key2'].apply(lambda x: (x=='one').sum()).reset_index(name='count')
result = g(df.copy()) |
8,285 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Let's read the data
Step1: Let's check what's inside these files...
Step2: Only proper rows with posts
Step3: Let's parse this mess...
Step4: Better
Step5: Let's compute tag counts!
Ste... | Python Code:
! gsutil ls gs://pyspark-workshop/so-posts
lines = sc.textFile("gs://pyspark-workshop/so-posts/*")
# or a smaller piece of them
lines = sc.textFile("gs://pyspark-workshop/so-posts/Posts.xml-*a")
Explanation: Let's read the data
End of explanation
lines.take(5)
Explanation: Let's check what's inside these f... |
8,286 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Task
In this assignment, you will implement simple algorithmic trading policies and modify a very simple backtester.
In the following, you will find a Backtester1 function that gets as an in... | Python Code:
import pandas as pd
import pandas.io.data as web
import numpy as np
import datetime
msft = pd.read_csv("msft.csv", index_col=0, parse_dates=True)
aapl = pd.read_csv("aapl.csv", index_col=0, parse_dates=True)
msft['2012-01']
Explanation: Task
In this assignment, you will implement simple algorithmic trading... |
8,287 | 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', 'nicam16-7s', 'land')
Explanation: ES-DOC CMIP6 Model Properties - Land
MIP Era: CMIP6
Institute: MIROC
Source ID: NICAM16-7S
Topic: Land
Sub-Topics: Soil, Snow, Vegetation, E... |
8,288 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Authorization
Following the Nest authorization documentation.
Setup
Get the values of Client ID and Client secret from the clients page and set them in the environment before running this IP... | Python Code:
import os
DEN_CLIENT_ID = os.environ["DEN_CLIENT_ID"]
DEN_CLIENT_SECRET = os.environ["DEN_CLIENT_SECRET"]
Explanation: Authorization
Following the Nest authorization documentation.
Setup
Get the values of Client ID and Client secret from the clients page and set them in the environment before running this ... |
8,289 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Modeling and Simulation in Python
Chapter 10 Example
Step1: Pendulum
This notebook solves the Spider-Man problem from spiderman.ipynb, demonstrating a different development process for phys... | Python Code:
# If you want the figures to appear in the notebook,
# and you want to interact with them, use
# %matplotlib notebook
# If you want the figures to appear in the notebook,
# and you don't want to interact with them, use
# %matplotlib inline
# If you want the figures to appear in separate windows, use
# %m... |
8,290 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
author
Step1: QC-filtered samples
Step2: Per-study endemism
Objective
Step3: Per-sample endemism
Step4: Abundance vs. prevalence
Step5: Subset 2k | Python Code:
import pandas as pd
import numpy as np
import locale
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline
locale.setlocale(locale.LC_ALL, 'en_US')
def list_otu_studies(df, index):
return(set([x.split('.')[0] for x in df.loc[index]['list_samples'].split(',')]))
locale.format("%d", 12... |
8,291 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Project (Option 2) - PageRank
Authors
Step3: Simulation time!
We now want to empirically test what we solved above by modeling a random user hopping along those webpages.
We will start the... | Python Code:
import numpy as np
from __future__ import division
P = np.matrix([[0, 1/5, 1/5, 1/5, 1/5, 0, 0, 1/5],
[1/2, 0, 0, 0, 1/2, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0],
[0, 1/3, 1/3, 1/3, 0, 0, 0, 0],
[1/4,0,1/4,0,0,0... |
8,292 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Example to demonstrate optimized backdoor variable search for Causal Identification
This notebook compares the performance between causal identification using vanilla backdoor search and the... | Python Code:
import time
import random
from networkx.linalg.graphmatrix import adjacency_matrix
import numpy as np
import pandas as pd
import networkx as nx
import dowhy
from dowhy import CausalModel
from dowhy.utils import graph_operations
import dowhy.datasets
Explanation: Example to demonstrate optimized backdoor va... |
8,293 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Visualising statistical significance thresholds on EEG data
MNE-Python provides a range of tools for statistical hypothesis testing
and the visualisation of the results. Here, we show a few ... | Python Code:
import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import ttest_ind
import mne
from mne.channels import find_ch_connectivity, make_1020_channel_selections
from mne.stats import spatio_temporal_cluster_test
np.random.seed(0)
# Load the data
path = mne.datasets.kiloword.data_path() + '/kword... |
8,294 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
<img src="images/logo.jpg" style="display
Step1: <p style="text-align
Step2: <p style="text-align
Step3: <p style="text-align
Step4: <p style="text-align
Step5: <p style="text-align
Ste... | Python Code:
prime_ministers = ['David Ben-Gurion', 'Moshe Sharett', 'David Ben-Gurion', 'Levi Eshkol', 'Yigal Alon', 'Golda Meir']
Explanation: <img src="images/logo.jpg" style="display: block; margin-left: auto; margin-right: auto;" alt="לוגו של מיזם לימוד הפייתון. נחש מצויר בצבעי צהוב וכחול, הנע בין האותיות של שם הק... |
8,295 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
11. タブをスペースに置換
タブ1文字につきスペース1文字に置換せよ．確認にはsedコマンド，trコマンド，もしくはexpandコマンドを用いよ．
Step1: 12. 1列目をcol1.txtに，2列目をcol2.txtに保存
各行の1列目だけを抜き出したものをcol1.txtに,
2列目だけを抜き出したものをcol2.txtとしてファイルに保存せよ.
確認にはcutコマ... | Python Code:
hightemp = "".join(map(str, [i.replace('\t', ' ') for i in open('hightemp.txt', 'r')]))
print(hightemp)
Explanation: 11. タブをスペースに置換
タブ1文字につきスペース1文字に置換せよ．確認にはsedコマンド，trコマンド，もしくはexpandコマンドを用いよ．
End of explanation
col1 = open('col1.txt', 'w')
col2 = open('col2.txt', 'w')
hightemp = [i.replace('\t', ' ').split... |
8,296 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Step2: OT for image color adaptation with mapping estimation
OT for domain adaptation with image color adaptation [6] with mapping
estimation [8].
[6] Ferradans, S., Papadakis, N., Peyre, G.... | Python Code:
# Authors: Remi Flamary <remi.flamary@unice.fr>
# Stanislas Chambon <stan.chambon@gmail.com>
#
# License: MIT License
import numpy as np
from scipy import ndimage
import matplotlib.pylab as pl
import ot
r = np.random.RandomState(42)
def im2mat(I):
Converts and image to matrix (one pixel per li... |
8,297 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Getting Started
Bambi requires a working Python interpreter (3.7+). We recommend installing Python and key numerical libraries using the Anaconda Distribution, which has one-click installers... | Python Code:
import arviz as az
import bambi as bmb
import numpy as np
import pandas as pd
az.style.use("arviz-darkgrid")
Explanation: Getting Started
Bambi requires a working Python interpreter (3.7+). We recommend installing Python and key numerical libraries using the Anaconda Distribution, which has one-click insta... |
8,298 | Given the following text description, write Python code to implement the functionality described below step by step
Description:
Hello Feature Class example
Step1: Getting the test case
Test cases can be downloaded to temporary files. This is handled by the radiomics.getTestCase() function, which checks if the reques... | Python Code:
from __future__ import print_function
import os
import collections
import SimpleITK as sitk
import numpy
import six
import radiomics
from radiomics import firstorder, glcm, imageoperations, shape, glrlm, glszm
Explanation: Hello Feature Class example: using the feature classes to calculate features
This ex... |
8,299 |
Given the following text problem statement, write Python code to implement the functionality described below in problem statement
Problem:
perform Image segmentation using encoder-decoder architecture
| Python Code::
import tensorflow as tf
model = tf.keras.Model()
model.add(tf.keras.layers.Input((width, height, channels)))
model.add(tf.keras.layers.Lambda(lambda x: x / 255))
model.add(tf.keras.layers.Conv2D(16, (3, 3), activation='relu', kernel_initializer='he_normal', padding='same'))
model.add(tf.keras.layers.Dropo... |
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