ryo-ARAKI

# ~/.config/starship.toml

[battery]
full_symbol = "🔋"
charging_symbol = "🔌"
discharging_symbol = "⚡"

[[battery.display]]
threshold = 30
style = "bold red"

raphaelvallat

import numpy as np
import multiprocessing
from joblib import Parallel, delayed
from scipy.spatial.distance import pdist, squareform

def _dcorr(y, n2, A, dcov2_xx):
    """Helper function for distance correlation bootstrapping.
    """
    # Pairwise Euclidean distances
    b = squareform(pdist(y, metric='euclidean'))

blackcater

Diagrams

Markdown Preview Enhanced supports rendering flow charts, sequence diagrams, mermaid, PlantUML, WaveDrom, GraphViz, Vega & Vega-lite, Ditaa diagrams. You can also render TikZ, Python Matplotlib, Plotly and all sorts of other graphs and diagrams by using Code Chunk.

Please note that some diagrams don't work well with file exports such as PDF, pandoc, etc.

Flow Charts

This feature is powered by flowchart.js.

gschivley

# -*- coding: utf-8 -*-
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import pandas as pd
import sqlalchemy
import altair as alt
import io
from vega_datasets import data

bshishov

import numpy as np

EPSILON = 1e-10


def _error(actual: np.ndarray, predicted: np.ndarray):
    """ Simple error """
    return actual - predicted

Den1al

# author: @Daniel_Abeles
# date:   18/12/2017

import asyncio
from aiohttp import ClientSession
from timeit import default_timer
import async_timeout


async def fetch_all(urls: list):

gleicon

from boto3.session import Session
from botocore.client import Config
from botocore.handlers import set_list_objects_encoding_type_url

import boto3

ACCESS_KEY = "xx"
SECRET_KEY = "yy"
boto3.set_stream_logger('')

kent119

# /etc/nginx/sites-enabled/some.domain
# Change the server name {some.domain}
# Change the {host.of.notebook} and {port} in the following locations
server {
        listen 80;
        # Change the server name {some.domain}
        server_name some.domain;
        location / {
                # Change the {host.of.notebook} and {port}
                proxy_pass http://host.of.notebook:port;

ragulpr

import keras
from keras.layers import *
from keras.models import Model
import theano as T
import tensorflow as tf
print('theano ver.',T.__version__) 
print('tensorflow ver.',tf.__version__) 
print('keras ver.',keras.__version__) 
np.set_printoptions(precision=4)
np.random.seed(1)

deehzee

Module autoreload

To auto-reload modules in jupyter notebook (so that changes in files *.py doesn't require manual reloading):

# for auto-reloading external modules
# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython
%load_ext autoreload
%autoreload 2