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# + [markdown] id="k7msQsWzIqWV"
# **Curso de Python 3 - Mundo 2: Estruturas ... | Curso_de_Python_3_Mundo_2_Estruturas_de_Controle.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | KNN_algo_iris_dataset.ipynb |
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# <a href="https://colab.research.google.c... | simulator_reward_evaluation_plots.ipynb |
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class Solution(object):
def plusOne(sel... | Problems/66-PlusOne.ipynb |
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# # Component 1: What are the defining symptoms / phen... | workflow/Answer for Component 1.ipynb |
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# + id="1SKelf1y8IJY" colab={"base_uri": "https://localhost:8080/"} execution... | NLP_1/myNLP4_BERT_OrdEnc.ipynb |
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# ## 1. Importing libraries
#importing required libra... | notebooks/National overview.ipynb |
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from sympy import *
init_printing(use_unicode=True)
fr... | PythonCodes/Utilities/Sympy/StiffnessRotNPMblending.ipynb |
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import os
import time
from pyspark.sql import Spar... | notebooks/EDA.ipynb |
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import logging
import math
import textwrap
import... | wordlegame.ipynb |
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import os
import numpy as np
import matplo... | doc/examples/cell_population_examples/example_cell_population_fake_data.ipynb |
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# + [markdown] slideshow={"slide_type": "skip"}
# **No... | 09_mappings/00_content.ipynb |
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# # Videos and Exercises for Session 3: Data Structuri... | teaching_material/module_3/module_3_exercises_sol.ipynb |
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import sqlite3
import numpy as np
import io
def a... | database/sqlite.ipynb |
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# default_exp preprocess.label_data
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# # Label... | notebooks/01_label_data.ipynb |
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# # Tutorial 3
# This i... | robotics_tutorials/tutorials/tutorial_3.ipynb |
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import pandas as pd
import numpy as np
import seaborn ... | 6 - Tooling/iris-part2.ipynb |
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# # ODE-Solvers from Scratch
#
# All the o... | docs/source/tutorials/odes/odesolvers_from_scratch.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | aquaponics-master/notebooks/Aquaponics/All.ipynb |
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import json
from collections import Counter
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with ... | assignment1/test_space.ipynb |
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import numpy as np
import scipy
from scipy import cons... | .ipynb_checkpoints/Wide-field DFT imaging-checkpoint.ipynb |
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# ## LSGAN中の転置畳み込み層の可視化
# ### アブスト
# LSGANが100次元のノイズからどう画像を生成しているのか知りたくて、生成... | notebook/my_lsgan_debug.ipynb |
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# %load_ext autoreload
# %autoreload 2
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import num... | nbs_gil/data_science_bowl/data_science_bowl_training_19_regression_lgb_best.ipynb |
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# # Exploring Category and Interval
#
# This notebook ... | simple_ipynb/Pandas_Categorical_Interval.ipynb |
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# <!--NAVIGATION-->
# < [*OPTIONAL* widget layout... | notebooks/07.Mais-bibliotecas/07.00-More_widget_libraries.ipynb |
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# # Анализ текстов
# ## Введение
#
# Метод опорных ве... | 3_week_2_independent_work.ipynb |
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# # Learning Jupyter Notebook
40 + 2
import numpy as... | Ch02/02_04/02_04.ipynb |
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from typing import Tuple
from IPython.display imp... | src/ai/paint/glide-text2im/notebooks/inpaint.ipynb |
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# + [markdown] id="c71poUbytnr1"
# # "MixUp: concepts,... | _notebooks/2021-08-10-mixup.ipynb |
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# Definition for a binary tree node.
# class T... | 687. Longest Univalue Path.ipynb |
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# # SPECTF Heart Data Set Arm Identefication
# # ... | codepaper/11. SPECTF/SPECTF Heart Data Set Arm Identefication.ipynb |
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#default_exp vision.timm
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Creditcard.ipynb |
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'''Given an array nums of n integers, are there el... | .ipynb_checkpoints/ThreeSum-checkpoint.ipynb |
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# + [markdown] kernel="SoS" tags=[]
# # Bulk RNA-seq eQTL analysi... | code/commands_generator/eQTL_analysis_commands.ipynb |
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# # `005-image-ops`
#
# Task: perform broadcast and re... | static/fundamentals/005-image-ops.ipynb |
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# + id="CEX2kaJLcsro" colab_type="code" colab={"base_uri": "https://localhost... | kannada mnist/archive/script v1.0.6.ipynb |
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# ### Trade with XGBoost algorithm
# ### Background
# ... | notebooks/06_xgboost_trade.ipynb |
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pip install splinter
pip install beautifulsoup4
pip ... | Mission_to_Mars/mission_to_mars.ipynb |
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# # COVID19-related literature SQL database
#
# In this not... | Notebook_1_SQL_database.ipynb |
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# # Objective
# * 20181230:
# * Predict stock pri... | stock prediction from zhihu/.ipynb_checkpoints/v3_mov_avg-checkpoint.ipynb |
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import matplotlib.pyplot as plt
from matplotlib.co... | knn_lego.ipynb |
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# # EuroSciPy 2018
#
# <NAME>, August 2018<br/>
# <EMA... | BinderNotebook.ipynb |
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p=[3,4,5]
x, y, z = p
print(x,y,z)
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## 在一个集合中找到最大或... | practic/hookbook/DataAndAlgor.ipynb |
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# # Object Manipulation
# This is a file ... | archive/How-to-Convert-Serialized-Objects-to-JSON.ipynb |
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# # 3 key findings from 2020 developer data
# A data a... | Stackoverflow 2020 developer survey analysis.ipynb |
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import xarray... | plot_examples/plotfzpdfs.ipynb |
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# # Country Comparison Australia - New Zealand
#
# In ... | Preprocessing_SDG_AUS_NZ.ipynb |
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import os
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# # Section II. MODELING
#
# Chapter 7. Representing G... | Geometry.ipynb |
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# # Teaching Numerical Analysis with Jupyter Notebook
... | Teaching_with_Jupyter/.ipynb_checkpoints/Teaching_with_Jupyter-checkpoint.ipynb |
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# # Building two simple linear regression models
# ##... | twosimplelinearregressions.ipynb |
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// [![Binder](https://mybinder.org/badge_logo... | breast_cancer_wisconsin_transformation_with_pca/breast-cancer-wisconsin-pca-cpp.ipynb |
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# # Group of collections
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#conda install -c anaconda graphviz
#conda install -c ... | tp7/clasificacion/Iris.ipynb |
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# # Notebook #2 - Programming ... | code/02-saxpy-basics/NB02-saxpy-basics.ipynb |
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# + [markdown] id="V96fc28ZXJbn"
# <p align="cent... | SubsurfaceDataAnalytics_ConvolutionalNeuralNetworks_Classifier_VerySimple.ipynb |
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import random
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# _You are currently looking at **version 1.1*... | Assignment+4.ipynb |
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from pydataset import data
# %matplotlib inline
import... | t_test.ipynb |
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# # Explore a Global News Media Dataset using Jup... | vector_vizualization.ipynb |
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import pandas as pd
import numpy as np
from sklearn.mo... | .ipynb_checkpoints/Script3-checkpoint.ipynb |
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import warnings
warnings.filterwarnings("ignore")
impo... | Type1vsType2.ipynb |
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import requests, pandas as pd, numpy as np
from pandas... | Machine Learning/Time Series Analysis Example/Time Series Example.ipynb |
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# + [markdown] id="APZVoQmL47I1"
# # Heart Disease Classification - Random Fo... | Models/heart_RF.ipynb |
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# + id="tHgcABe69QKg" colab={"base_uri": "https://localhost:8080/"} outputId=... | Taller_Grupal_21_Marzo.ipynb |
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imp... | data/processing_dynamic.ipynb |
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# As you will see, the microarray 'processed' data obt... | MicroArray-Data-PostProcessing-337.ipynb |
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##
## Preparación
##
import pandas as pd
import numpy ... | TRABAJO ANALITICA/DESCRIPTIVA DE MUERTES.ipynb |
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# + pycharm={"name": "#%%\n"}
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# # Manipulation des données et premières statistiques... | formation/02-Machine learning avec Pandas et Scikit-learn/2.1 Manipulation et description des donnees.ipynb |
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# # Foldgraph
#
# <NAME>, May 2019
import os
import s... | notebooks/2_rt_Simple-display-foldgraph.ipynb |
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# # Print in Color
# + colab={"base_uri": "https://lo... | benchmarks/earthquake/mar2022/library/print.ipynb |
// -*- coding: utf-8 -*-
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// # 03. 2D Objects
//
... | 03 2D Objects.ipynb |
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import pandas as pd
df = pd.read_csv('data/penguins_si... | week_02/penguins data explore.ipynb |
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# # Python调用Matlab
#
# 很多科学计算程序由Matlab完成，但是我们想要在Python... | 1-basic-envir/BonusMatlab.ipynb |
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# Plotting of MOB annotations
#
# data files needed to... | splotch_visualization/annotation_plotting.ipynb |
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# ### Input Redshift Cluster Endpoint and U... | use-cases/regression/regression-model.ipynb |
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# name: python37464bitbaseconda4bf18afa65be4bc... | software/raspberry_pi/calibration/camera_calib.ipynb |
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# name: python374jvsc74a57bd0021d9f4f6a0c9e23e32c4246ac82593951ffad9baab3e58c0c69e8a8c06b... | week1_precurse_python_I/day5_python_IV/prueba.ipynb |
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# + [markdown] id="tvgnzT1CKxrO"
# # Using Feature Store
#
# ## Learning Obje... | courses/machine_learning/deepdive2/feature_engineering/labs/6_gapic_feature_store.ipynb |
# +
import numpy as np
from pandas import Series,DataFrame
import pandas as pd
# +
#Lets create a Series (array of data and data labels, its index)
obj = Series([3,6,9,12])
#Show
obj
# -
#Lets show the values
obj.values
#Lets show the index
obj.index
# +
#Now lets create a Series with an index
#WW2 casualties ... | 00.Python/[udemy]pandas/Lec 14 - Series.ipynb |
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# The code below writes a question in Python, and expo... | examples/simplest_multichoice_question_from_python/template.ipynb |
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# %matplotlib inline
import os, sys, gc
im... | analysis/analyze_pilot_v1-3.ipynb |
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# # Python Basic Tips
import os
print(os.c... | Python/jupyter.ipynb |
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# # Kernel SVM
#
# ```{note}
# Intuition: Transforming... | machine-learning-book/a5.kernel svm.ipynb |
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# ###GEOG827
# ###Assignment \#1
# ###<NAME>
# ###due ... | GEOG827/.ipynb_checkpoints/Brodzik_assignment1-checkpoint.ipynb |
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# ## WGP Followup
# ### Graphing
# ### Joining
# ### ... | fa17/lab6/Lab6-Graphing.ipynb |
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import json
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import augur
import pandas as pd
import numpy ... | notebooks/contributor-classification.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "height": 565} id="m1nWXlsj... | Auxiliares/graficas_experimentos.ipynb |
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# # HackLive 4: Stock Price Prediction
# #### Summary... | HackLive 4.ipynb |
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from numpy import pi as PI
from scipy.stats import... | notebooks/Analytic_calculation_verification.ipynb |
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# ## PCA in Image compression
# +
import sys
fr... | PCA image compresion.ipynb |
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# + [markdown] papermill={} tags=[]
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# # Converters for Quadratic Programs
# ## Introducti... | tutorials/optimization/2_converters_for_quadratic_programs.ipynb |
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# + [markdown] id="oqF6DSD2Xk5V" colab_type="text"
#
# + [markdown] id="EtgF... | Random number with a Quantum Computer.ipynb |