Lucas Pili Raudcu
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| 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") |
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| { | |
| "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" | |
| } |
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| #!/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
/ cut_mp3.py
Created
June 11, 2020 17:33
— forked from gchavez2/cut_mp3.py
Cut mp3 file with Python and pydub
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| # https://github.com/jiaaro/pydub | |
| from pydub import AudioSegment | |
| files_path = '' | |
| file_name = '' | |
| startMin = 9 | |
| startSec = 50 |
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| awk -v OFS='\t' '{print $1, $2, $3, $4, "sweep_up", $5}' 170722_006.dat > a.dat |
Raudcu
/ tracker.jupyterlab-settings
Created
February 14, 2020 12:55
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| { | |
| "codeCellConfig": { | |
| "autoClosingBrackets": false | |
| } | |
| } |
Raudcu
/ shortcuts.jupyterlab-settings
Last active
September 18, 2023 11:48
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| { | |
| "shortcuts": [ | |
| { | |
| "command": "jupyterlab_code_formatter:format", | |
| "keys": [ | |
| "Ctrl Shift F" | |
| ], | |
| "selector": ".jp-Notebook.jp-mod-editMode", | |
| "args": {} | |
| }, |
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| 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
/ mpl_to_plotly.py
Created
July 31, 2019 20:08
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| 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) |
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| 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() |
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