code stringlengths 38 801k | repo_path stringlengths 6 263 |
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"""
Get data of directors from IMDB page.
Import movie... | notebooks/03_scrape_imdb_director.ipynb |
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// # xvolume
//
// - Based on ipyvo... | 2019-01-30-muc++-meetup/xvolume_parametric.ipynb |
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# ## The Lognormal Distribution
t<-seq(0, 10, length=300) # Set the tim... | 05_ProbabilityDistributionsInReliabilityAnalysis/05_04_SomeTimeToFailureDistributions/05_04_05_TheLognormalDistribution.ipynb |
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import numpy as np
import pandas as pd
import sklearn ... | scripts/05_28_19_PCA_real_interaction_function.ipynb |
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# Definition for a binary tree node.
class TreeNod... | Tree/Review/230. Kth Smallest Element in a BST.ipynb |
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# # ACSE-2 Assignment 1
#
# A porous bed of activated ... | Coursework1_final.ipynb |
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# # QISKit ACQUA Tutorials
#
# ***
#
# Welcome QISKitt... | index.ipynb |
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from ipywidgets import interact, interactive, fixe... | ipywidgets.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | HW4_1.ipynb |
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# # Introduction
# State notebook purpose here
# ### ... | datashader-work/geographic-plotting.ipynb |
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# # Using custom containers with Vertex AI Training
#
... | notebooks/kubeflow_pipelines/walkthrough/labs/kfp_walkthrough_vertex.ipynb |
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import sys
sys.path.append('C:\\Users\\gregw\\Document... | wrapper_functions/testing_functions.ipynb |
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# # [New York City Taxi Fare Prediction](https://www.k... | NYCTaxiFarePrediction_DataPreprocessing.ipynb |
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# `lasio` uses the [`logging`... | notebooks/set logging level for lasio.ipynb |
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# # Python Blink Counter
#
# __En__: The goal here is... | 2_blink_counter.ipynb |
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# + [markdown] id="8PrD4L_92-EM"
# ## 講座1 Python 入門
... | notebooks/l01_python.ipynb |
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# # Hello World Program for a Quantum Circuit
from qi... | HelloWorld/HelloWorld_qiskit.ipynb |
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# ### Predictions on Test Dataset
# Train with the bes... | src/08.predictions.ipynb |
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import numpy as np
a = np.array([[1],[2]])
a.shape
... | PA2/part1/Untitled.ipynb |
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import seaborn as sns
sns.set()
import matplotlib.pypl... | Notebooks/02_Z_score_calculation.ipynb |
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# ### Objectives
#
# - Load the Python Data Analysis L... | notebooks/1_table_oriented.ipynb |
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# Import libraries
import cv2
import numpy as np
impor... | Exercise05/Exercise05.ipynb |
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# # Integração Python com Outlook
#
# ### Funciona par... | e-mail/integracao-outlook.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 2021notebooks/2021ccap_jshbd.ipynb |
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# Центр непрерывного образования
#
# # Программа «Pyth... | lect4/for.ipynb |
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# # Introduction to Pandas
#
# This class introduces t... | lectures/Introduction to Pandas 2019.ipynb |
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# <a href="https://colab... | Day8assignment.ipynb |
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# # Ishiki Detector
# 君の意識は高いか。
# 文章の意識高さを判定するニューラルネット... | tfsample/ishiki_detector.ipynb |
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import syft
import syft.nn as nn
from syft.control... | notebooks/demos/IntTensor Notebook.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | 12_Data_Modelling_(DST)_(Part_2).ipynb |
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# %matplotlib inline
from pyvista import set_plot_them... | create-truss.ipynb |
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# # "Sort array by Parity"
# > "[[Leetcode]](https://l... | _notebooks/2020-05-03-Sort-Array-By-Parity.ipynb |
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# <h1 align="center"> Registration Initialization: We ... | Python/63_Registration_Initialization.ipynb |
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import pandas as pd
import sys, os
sys.path.insert(0, ... | data/processed/.ipynb_checkpoints/Milestone 3 Task 3-checkpoint.ipynb |
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# import libraries
import pandas as pd
import matplotl... | amazon_fires.ipynb |
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# + [markdown] id="-SDKSXkniO7S" colab_type="text"
# #... | docs/_sources/advanced/planner_tutorial.ipynb |
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# # TIME SERIES
# Whether we wanted to predict the f... | STOCK MARKET FORECASTING/STOCK MARKET FORECASTING-SOLUTION.ipynb |
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import mglearn
from sklearn.datasets import make_m... | jupyter/eMachinLearning/a_sklearn/Ex21_dbscan.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | ADS Random Forest.ipynb |
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# # Scalable Python Deployments as a Service
#
# ### <... | tour-de-coiled.ipynb |
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# # 仮説検定
#
# データを扱って何らかの議論をする際，気になるのは標本の数が十分か，そこから導かれる... | 03_Testing.ipynb |
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# # Using Genecodr to visualize gene sets
#
# ##### Au... | notebooks/Genecodr_clustering.ipynb |
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# # IDMaxwellNRPy: An Einstein Toolkit Initial Data Th... | Tutorial-ETK_thorn-IDMaxwellNRPy.ipynb |
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# # pandas DataFrame 쿼리
#
#
# DataFrame에서 데이터의 일부를 반환하... | even-more-python-for-beginners-data-tools/05 - Query a pandas Dataframe/05 - Querying DataFrames.ipynb |
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#Import Libraries
from sklearn.tree import Decisio... | Sklearn/Decision Tree/.ipynb_checkpoints/2.8.1.1 DecisionTreeRegressor-checkpoint.ipynb |
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import cv2
import dlib
import face_recognition
imp... | src/.ipynb_checkpoints/Webcam_Face_Tracking-checkpoint.ipynb |
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import os
import neptune
import... | notebooks/06.6-Fig3.ipynb |
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from splinter import Browser
from bs4 import Beautiful... | mission_to_mars.ipynb |
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# Wifi data amalgam... | test/wifi/Wifi data amalgamation_fancy.ipynb |
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import numpy as np
from Leg import Leg
np.set_printop... | src/math_boi.ipynb |
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# # Goal
# Save the test and train trial data for ML ... | Analysis/ML_DataPreProcess.ipynb |
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# [... | 14_introduccion_a_sqlalchemy.ipynb |
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import seldon.pipeline.auto_transforms as auto
imp... | python/examples/wine.ipynb |
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# # Sklearn Tutorial Validation
# The purpose of this ... | see_classify_figures/SEE-Classify Sklearn Tutorial Validation.ipynb |
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# ## Visualizing Covid-19 Pandemic using Wikidata
# <... | Covid19PandemicWikidata.ipynb |
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# # Ensemble sorting of a Neuropixel recording (2)
#
#... | posts/ensemble-sorting-of-a-neuropixels-recording-2.ipynb |
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import numpy as np
import pandas as pd
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# conda install -c conda-forge shapely
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# # Decorator Pattern vs Decorator in Python
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# #### 1 Defina a função soma_nat que recebe como argu... | Exercicio06.ipynb |
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# + [markdown] azdata_cell_guid="f7b27a4d-42... | BuildContainer.ipynb |
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# Machine Learning for Image Classification
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# # quant-econ Solutions: Optimal Savings
# Solutions... | ifp/ifp_solutions_py.ipynb |
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# # Data Preprocessing
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# This notebook takes the wor... | 04_PreprocessingForClassifiers.ipynb |
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# + id="ktFt6IzKJkSn" colab_type="code" colab={}
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# <h1 style='color: green; font-size: 36px; font-weigh... | projeto_final/bonus/Simulador Interativo.ipynb |
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# # CSE 6040, Fall 2015 [05, Part A]: A-priori algorit... | 05a--a-priori-wrap-up.ipynb |
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# # AutoDiff by Symboic Representation in Julia
u... | diffprog/julia_dp/autodiff_chain_rule-symb.ipynb |
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# L... | matplotlib/gallery_jupyter/pyplots/fig_axes_labels_simple.ipynb |
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# # Give Me Some... | data-science-introduction-with-r/classification-algorithms-part-2/Notebooks/classification-algorithms-part-2.ipynb |
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sys.path.append(r'C:\Users\moallemie\EMAwor... | Notebook/.ipynb_checkpoints/Morris_ranking_verification_Coal Production Indicator-checkpoint.ipynb |
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# # A `CookieCutter` template project
#
# - Takes car... | 2019-01-10-ESRF/notebooks/01.3.cookiecutter.ipynb |
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import io, sys, math, re
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# cd ..
pwd
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from bs4 import BeautifulSoup as bs
import requests
i... | Project3 hyperlinks/VZ hyperlink.ipynb |
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# ## Tugas model linier regression.
# <NAME>
# 171... | tugas_3_aris_ipynb.ipynb |
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# # Brain Tumor Detection ... | brain_tumor_dataset_preparation.ipynb |
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# # Matching EUETS and ENTSO E data
# This script pro... | .ipynb_checkpoints/Matching EUETS and ENTSO E-checkpoint.ipynb |
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# # Simple InSAR baseline simulator
# This notebook i... | Community/InSARBaseline/InSARBaselineSimulator.ipynb |
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# # Training Models
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# + id="b106fx2g3tMj"
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im... | pytorch-Learning/DataProcess.ipynb |