Raudcu

import argparse
import smtplib
from email.message import EmailMessage
import mimetypes


# Parser
parser = argparse.ArgumentParser(description="Send files through mail")

parser.add_argument("files", metavar="FILES", nargs="+", help="Files to send")

Raudcu

{
    "command": {
      "bind": {
        "shift-pageup": "jupyter-notebook:move-cell-up",
        "shift-pagedown": "jupyter-notebook:move-cell-down",
        "n,n": "jupyter-notebook:restart-kernel-and-run-all-cells",
        "u,u": "jupyter-notebook:restart-kernel-and-clear-output",
        "g,g": "auto:hide_code:toggle_all",
        "shift-u": "RISE:toggle-subslide"
      }

Raudcu

#!/bin/bash

# Script to convert multiple images to pdf and put them together into a single file.
# It executes in the directory where the images are: topdf IMG_1.jpg IMG_2.JPG IMG_3.jpeg OUTPUT_NAME

declare -a Files=("${@:1:$(( $#-1 ))}")

for file in ${Files[@]}
do	   
    convert $file ${file%.*}.pdf

Raudcu

# https://github.com/jiaaro/pydub

from pydub import AudioSegment

files_path = ''
file_name = ''

startMin = 9
startSec = 50

Raudcu

awk -v OFS='\t' '{print $1, $2, $3, $4,  "sweep_up", $5}' 170722_006.dat > a.dat

Raudcu

{
  "codeCellConfig": {
    "autoClosingBrackets": false
  }
}

Raudcu

{
    "shortcuts": [
        {
            "command": "jupyterlab_code_formatter:format",
            "keys": [
                "Ctrl Shift F"
            ],
            "selector": ".jp-Notebook.jp-mod-editMode",
            "args": {}
        },

Raudcu

import plotly.graph_objects as go

x = np.linspace(0,10,100) 

fig = go.Figure()
fig.add_scatter(x=x, y=np.sin(x))
fig.show()

Raudcu

import matplotlib.pyplot as plt
import plotly.graph_objs as go
import plotly.tools as tls
import numpy as np

fig, ax = plt.subplots()

x = np.linspace(0, 10)
ax.plot(x, np.sin(x), '--', linewidth=2)
ax.plot(x, np.cos(x), '--', linewidth=2)

Raudcu

import matplotlib.pyplot as plt
import matplotlib.cm as cmap
import matplotlib.colors as mcolors

rain = cmap.ScalarMappable(norm=mcolors.Normalize(vmin=0,vmax=1.), cmap='rainbow')

for i in range(10):
    plt.plot(range(10), [x*i for x in range(10)], c=rain.to_rgba(i/10))
    
plt.show()