code stringlengths 38 801k | repo_path stringlengths 6 263 |
|---|---|
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# Use the Azure Machine Learning data collector to log... | code/02_modeling/02_ModelCreation/03_A_ModelCreation_Word2Vec_GBM.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
import pandas as pd
import numpy as np
import matp... | code/FIFA19.ipynb |
// ---
// jupyter:
// jupytext:
// text_representation:
// extension: .fs
// format_name: light
// format_version: '1.5'
// jupytext_version: 1.14.4
// kernelspec:
// display_name: F#
// language: fsharp
// name: ifsharp
// ---
// ## Sylvester.Arithmetic
//
// ### Introducti... | examples/math/Sylvester.Arithmetic.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# + jupyter={"source_hidden": true}
from gs_quant.mark... | gs_quant/content/events/00_gsquant_meets_markets/01_ideas_for_risk_re_rating/eq_sx5e_spx_vol_spread_trade.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: dstn
# language: python
# name: dstn
# ---
# %matplotlib inline
import matplotlib
#matplotlib.use('Agg')... | kent.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# name: python3
# ---
# + [markdown] id="LeMagleaQnv0" colab_type="text"
# # Maplotlib Quickstart G... | woche2/notebooks/intro-matplotlib/intro-matplotlib.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3 (TensorFlow 2.3 Python 3.7 GPU Optimized)
# language: python
# name: python3__SAGEMAKER_INTERNAL... | tensorflow/Tutorial.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 2
# language: python
# name: python2
# ---
# +
from __future__ import print_function, division
i... | notebooks/.ipynb_checkpoints/save_net_outputs-checkpoint.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# + colab={} colab_type="code" id="o_0K1lsW1dj9"
"""
Y... | tutorials/nlp/Relation_Extraction-BioMegatron.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 2
# language: python
# name: python2
# ---
# <h1> Time series prediction using RNNs, with TensorF... | courses/machine_learning/deepdive/05_artandscience/d_customestimator.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Big-O: NLogN examples
# +
import numpy as np
def ... | Algorithms/BigO_Examples/Big0_NLogN.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # The Effect of Scrambling Image on Training CNN-Bas... | old_projects/cnn_classifiers/classification_with_scrambled_images.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .jl
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Julia 1.0.0
# language: julia
# name: julia-1.0
# ---
include("JQuantmod.jl")
using PyPlot
P = get_log_... | test/test.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # In-Class Coding Lab: Strings
#
# The goals of this... | content/lessons/07/Class-Coding-Lab/CCL-Strings.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Homework โ Spectral Analysis
# ## IEOR 135/290, D... | 02-data-x-signals/m250-theory-signal-spectral-lti-ffts/hw-m250-theory-signal-spectral-lti-ffts.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3 (ipykernel)
# language: python
# name: python3
# ---
# # Stacking & Grid Search Example
# This... | hyperparameter-tuning-examples/01.2-gridsearch-stacking-example.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# name: python3
# ---
# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Aula2_pandas.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Simple Animations Using clear_output
# Sometimes ... | 001-Jupyter/001-Tutorials/001-Basic-Tutorials/001-IPython-Kernel/Animations Using clear_output.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Monte Carlo Simulation and Random Walk Generation
... | Introduction to Portfolio Construction and Analysis with Python/W3/.ipynb_checkpoints/Monte Carlo Simulation-checkpoint.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Example queries for Economic Characteristics on CO... | notebooks/queries/EconomicCharacteristics.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# <table class="ee-notebook-buttons" align="left">
# ... | Algorithms/Segmentation/segmentation_snic.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: QSRL
# language: python
# name: python3
# ---
# + [markdown] id="view-in-github" colab_type="text"
# <a ... | tutorials/3-Practical/FinRL_China_A_Share_Market.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Introduction to `pandas`
import numpy as np
impor... | notebooks/S04_Pandas.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # The Efficient Frontier of Optimal Portfolio Transa... | finance/Efficient Frontier.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Skip-gram word2vec
#
# In this notebook, I'll lead... | embeddings/Skip-Grams-Solution.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python [Root]
# language: python
# name: Python [Root]
# ---
id = [1,2,3,4]; friend = [5,6,7,8]
id_list... | data-science-from-scratch/Ch 1 introduction.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python [default]
# language: python
# name: python3
# ---
# # 2.0: Reproducible Data Sources
# "In God w... | notebooks/20-creating-datasets.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# ะฆะตะฝัั ะฝะตะฟัะตััะฒะฝะพะณะพ ะพะฑัะฐะทะพะฒะฐะฝะธั
#
# # ะัะพะณัะฐะผะผะฐ ยซPyth... | 01 python/lect 3 materials/2020_DPO_3_0_strings_methods.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
org_list = [1, 2, 3, 4, 5]
org_list.reverse()
print(o... | notebook/reverse_reversed.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python [conda env:anaconda]
# language: python
# name: conda-env-anaconda-py
# ---
# ### *IPCC SR15 scen... | assessment/sr15_2.3.3_short-lived_climate_forcers.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Example: Compare CZT to FFT
# %load_ext autoreloa... | examples/compare-czt-fft.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# #### ๋ค์๊ณผ ๊ฐ์ ๋ฐ์ดํฐ ํ๋ ์์ ๋ง๋ค๊ณ 4๋ฒ์งธ ํ์ ๊ฐ์ ์ถ๋ ฅํ์์ค.
df = pd.... | Hacker_rank/Easy/180201_Study Quiz.ipynb |
# # Many-body perturbation theory
#
# We assume here that we are only interested in the ground state of the system and
# expand the exact wave function in term of a series of Slater determinants
# $$
# \vert \Psi_0\rangle = \vert \Phi_0\rangle + \sum_{m=1}^{\infty}C_m\vert \Phi_m\rangle,
# $$
# where we have assumed... | doc/LectureNotes/mbpt.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# name: python3
# ---
# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Matrix2_day3_FI_simple_model.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# %load_ext autoreload
# %autoreload 2
import os
os.c... | notebooks/Challenge_executions.ipynb |
// -*- coding: utf-8 -*-
// ---
// jupyter:
// jupytext:
// text_representation:
// extension: .scala
// format_name: light
// format_version: '1.5'
// jupytext_version: 1.14.4
// ---
// # Using Azure Open Datasets in Synapse - Enrich NYC Green Taxi Data with Holiday and Weather
//
// Syn... | Notebooks/Scala/05 Using Azure Open Datasets in Synapse.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: 'Python 3.8.3 64-bit (''e38'': conda)'
# name: python_defaultSpec_1596792317413
# ---
# # Spark Funds Analy... | 02Statistics Essentials/01Exploratory Data Analysis/assignment/Assignment1.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
import shap
import sklearn
import numpy as np
import x... | scripts/learning-shap.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
import itertools
import collections
'''
this are ... | flatiron_task.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Fictional Army - Filtering and Sorting
# ### Intr... | 02_Filtering_&_Sorting/Fictional Army/Exercise.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# + [markdown] pycharm={}
# # Recurrent Neural Network... | ml4trading-2ed/19_recurrent_neural_nets/01_univariate_time_series_regression.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 2
# language: python
# name: python2
# ---
# # The 3ML workflow
#
# Generally, an analysis in 3ML... | docs/notebooks/The_3ML_workflow.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # LAT Gamma-Ray Burst Analysis
#
# This procedure pr... | GRBAnalysis/1.LATGRBAnalysis/1.LATGRBAnalysis.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# ### Project
# For this project you have 4 files con... | python-tuts/1-intermediate/04 - Iteration tools/Project /Project - Description.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# name: python3
# ---
# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | pytest.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
## Object detection
import cv2
import matplotlib.p... | openCV_tutorials/Objet detection.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3 (ipykernel)
# language: python
# name: python3
# ---
# + [markdown] tags=[]
# # MiRAC-A
# The f... | how_to_ac3airborne/datasets/mirac_a.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # 1) Dataset Walkthrough
# ## 1.1) Imports
import n... | Customer Analysis.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
import pandas as pd
import pickle
from tqdm import tqd... | Notebooks/Earthquake Prediction/.ipynb_checkpoints/Earthquake Prediction-checkpoint.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# name: python3
# ---
# + id="t3kLdO3EsK9n" colab_type="code" colab={"base_uri": "https://localhost... | matrix3_day1.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# name: python3
# ---
# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | RandomWalk1D.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# + pycharm={"name": "#%%\n"}
# %matplotlib inline
imp... | environment/env_multiview.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
import numpy as np
import matplotlib.pyplot as plt... | 1_2_Convolutional_Filters_Edge_Detection/.ipynb_checkpoints/5. Canny Edge Detection-checkpoint.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
# EDA Summaries in Python
# -
import os
os.chdir... | Chapter04/Python/Output/Chapter_04_Exploratory_Analysis.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# %matplotlib inline
#
# Stem Plots
# ============
#
... | docs/source/examples/plotting/stem.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# name: python3
# ---
# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Adults3.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# + [markdown] slideshow={"slide_type": "slide"}
#
# #... | M1-Intro.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# <div style = "font-family:Georgia;
# f... | 2_2_YOLO/.ipynb_checkpoints/YOLO-checkpoint.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
PIP_PATH="~/anaconda3/bin/pip"
# # Option 1
# +
# !g... | examples/installation.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: 'Python 3.7.6 64-bit (''base'': conda)'
# name: python_defaultSpec_1599145129117
# ---
# ### Auto Sort Downl... | AutoSortFolders.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
from PIL import Image
import numpy as np
from iter... | .ipynb_checkpoints/flappy-ai-mod-qlearn-checkpoint.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Imports
# +
import pandas as pd
import numpy as n... | notebooks/AOS/get_model_contributions_and_convergence.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# ## Solutions
# This notebook cannot be run on its ow... | solutions/GenesToPhenotypesSolutions.ipynb |
# ---
# jupyter:
# jupytext:
# split_at_heading: true
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
# default_exp mesh_to... | nbs/00_mesh_tools.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Tarea 4. Midiendo rendimiento y riesgo en un porta... | Modulo2/Tarea4_GalindoAriadna.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
#
# # Visualization Report
#
# ##### by <NAME>:
# 8/2... | act_report.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # ๆบๅจๅญฆไน ็ปไน 3 - ๅค็ฑปๅ็ฑป
# ่ฏฅไปฃ็ ๆถต็ไบๅบไบPython็่งฃๅณๆนๆก๏ผ็จไบCourseraๆบ... | Coursera-ML-AndrewNg-Notes-master/code/ex3-neural network/ML-Exercise3.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# - placeholders
import tensorflow as tf
x,y = tf.p... | sess_playground.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
from jturtle import Turtle
t = Turtle(800,400)
t.clea... | Test.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# env: {}
# interrupt_mode: signal
# language: python
# metadata: {}
# name: python3... | notebooks/examples/dot_dash_plot.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
import numpy as np
import matplotlib.pyplot as plt... | .ipynb_checkpoints/Naive_Bayes_tfidfVectorizer-Lemmatization-Copy1-checkpoint.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: 'Python 3.8.5 64-bit (''bluesky_2021_1'': conda)'
# name: python385jvsc74a57bd07dab0508751cb82e61e81c3615f369... | demonstrate_TwoD_XY_StagePositioner.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# ---
# <div style="background-color: #007bff; border-radius: 5px; width: 100%; padding: 10px; color: white">
# <b>Note:</b> This guide is writt... | examples/getting_started/Introduction.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# !rm -rf output-*/
# ## Test: levels = [0]
# !mkdir... | tests/icd_test/Run.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# + tags=["remove_input"]
from datascience import *
# ... | interactivecontent/compare-two-samples-by-bootstrapping/deflategate.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
# %matplotlib inline
import numpy as np
import mat... | figure_DA.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # United States - Crime Rates - 1960 - 2014
# ### I... | 04_Apply/US_Crime_Rates/Exercises.ipynb |
# ---
# jupyter:
# jupytext:
# split_at_heading: true
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
#export
import io,sys,jso... | test/07_clean.ipynb |
# -*- coding: utf-8 -*-
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .r
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: R
# language: R
# name: ir
# ---
# # Tag 1. Kapitel 1. Grundlagen
#
# ## Lektion ... | 1.1 R Basics/de-DE/.ipynb_checkpoints/1.1.07 R - Vector Indexing-checkpoint.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: conda_python3
# language: python
# name: conda_python3
# ---
# # Bring Your Own Model with SageMaker Scr... | sagemaker-script-mode/sagemaker-script-mode.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # 3. Generating Multiple Samples using MS1 Controlle... | examples/01. vimms (Wandy et al 2019)/03. Multiple Samples Example.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Dynamical Power Spectra (on real data)
# %matplot... | DynamicalPowerspectrum/DynamicalPowerspectrum_tutorial_[real_data].ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# + [markdown] slideshow={"slide_type": "slide"}
# # T... | 5 - communicate data findings project/slide_delayed_flights.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3 (ipykernel)
# language: python
# name: python3
# ---
# # Lesson 03 Simple metrics and grid size... | Basic_topography/Lesson_03_simple_metrics_and_resolution.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: autoeq
# language: python
# name: autoeq
# ---
# %load_ext autoreload
# %autoreload 2
import sys
from p... | measurements/crawl.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# <img src="https://www.microsoft.com/en-us/research/u... | notebooks/CustomerScenarios/Case Study - Multi-investment Attribution at A Software Company.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# name: python3
# ---
# # Machine Learning Real World Projects in Python
# ## SONAR Rock vs Mine P... | notebooks/AI in Technology - SONAR Rock vs Mine Prediction/ML_Rock_vs_Mine_Prediction.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
from sklearn.decomposition import LatentDirichletAlloc... | models/Model.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# ---
# +
def init(context):
context.s1 = "AG1612"
context.fired_now = 0
subscribe(context.s1)
logger.info("RunInfo: {}".format(cont... | data_ai/comp3035/rqbasic/fetch.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
import pandas as pd, requests, numpy as np
import urll... | CoronaTowns.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 2
# language: python
# name: python2
# ---
from IPython.html import widgets
from IPython.display ... | d3networkx_psctb_files/examples/demo generators.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Codebook
# **Authors:** <NAME>
# Documenting e... | [DIR] archive/Districts--/Districts--.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Libraries
import pandas as pd
import numpy as np
... | random_notebook_Experiments/CTKCCA_matlab_integrated_code-new-data.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
import matplotlib.pyplot as plt
import pandas as p... | notebooks/Histograms of transport- Approximator.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Refactored As Operational Pipeline (with MLRun)
#... | docs/howto/convert-mlrun-code.ipynb |
// ---
// jupyter:
// jupytext:
// text_representation:
// extension: .scala
// format_name: light
// format_version: '1.5'
// jupytext_version: 1.14.4
// kernelspec:
// display_name: Scala
// language: scala
// name: scala
// ---
// # Scala API to EasyForm
// +
val form : ... | doc/scala/EasyForm.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
from captcha_utils.icp_generator import *
from con... | image/qrcode/generate_data.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
# Libraries
import numpy as np
import pandas as pd... | eda.ipynb |
// -*- coding: utf-8 -*-
// ---
// jupyter:
// jupytext:
// text_representation:
// extension: .scala
// format_name: light
// format_version: '1.5'
// jupytext_version: 1.14.4
// kernelspec:
// display_name: Apache Toree - Scala
// language: scala
// name: apache_toree_scala... | notebooks/spark_dataset_cookbook.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# name: python3
# ---
# + id="dz5vVeCEg3dQ" colab_type="code" colab={"base_uri": "https://localhost... | Predict_on_TPU.ipynb |