Rodolfo Ferro RodolfoFerro

## introducci-n-a-las-redes-neuronales-convolucionales-con-tensorflow-y-keras.ipynb

      
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                RodolfoFerro
                / introducci-n-a-las-redes-neuronales-convolucionales-con-tensorflow-y-keras.ipynb
            
            
              Created
              January 14, 2022 18:50
            
              
                Introducción a las redes neuronales convolucionales con TensorFlow y Keras
              
          
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## VoronoiBrutAnim.py
import numpy as np
import matplotlib.pyplot as plt
from scipy.spatial import KDTree

# Generate some number of sites in
# the square [0, 1] x [0, 1]
np.random.seed(0)
n_sites = 20
sites = np.random.rand(n_sites, 2)
# Create random velocities

## tweet_deleting_script.py
# -*- coding: utf-8 -*-

""" Deletes all tweets below a certain retweet threshold.
"""

import tweepy
from datetime import datetime

# Constants
CONSUMER_KEY = ''

## 2fa
#!/usr/bin/env python
import os, os.path, stat, sys, base64

# TOTP lib inlined
import time, hmac, base64, hashlib, struct


def pack_counter(t):
    return struct.pack(">Q", t)

## luigi_first_steps.md

      
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                inactivist
                / luigi_first_steps.md
            
            
              Last active
              July 13, 2023 09:12
                — forked from tomsing1/luigi_first_steps.md
            
              
                First steps with the Luigi workflow manager
              
          
    First steps with the Luigi workflow manager

As an introduction into Luigi, I am following
this tutorial
with some modifications, e.g. installation using
conda.
The problems and solutions described in the examples below have led to the development
of
sciluigi,

  
## Prose.md

      
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                shakna-israel
                / Prose.md
            
            
              Last active
              November 15, 2023 22:06
            
              
                Obfuscating Python
              
          
    Obfuscating Python

Obfuscation isn't difficult in most programming languages. It's why we have "good practices" because it is so easy to hide what you mean in badly written code.
Obfuscation tends to be even easier in dynamic languages because of how forgiving they tend to be - and because they tend to give you direct access to the environment so that you can manipulate it.
Today, for fun, I'm going to obfuscate this code:
def _(n):

if n <= 0:

  
## Full Stack Wagtail deployment.md

      
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                Speedy1991
                / Full Stack Wagtail deployment.md
            
            
              Last active
              September 2, 2023 13:45
            
          
    What is this gist?

Explanation of a fullstack deployment of wagtail in a dockerized environment with Nginx, Elasticsearch, Postgres and Memcached
Required Skills:

docker
docker-compose
get a local wagtail site running


## mongo_to_csv.py
# @Author: xiewenqian <int>
# @Date:   2016-11-28T20:35:09+08:00
# @Email:  wixb50@gmail.com
# @Last modified by:   int
# @Last modified time: 2016-12-01T19:32:48+08:00


import pandas as pd
from pymongo import MongoClient

## miniconda_on_rpi.md

      
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                simoncos
                / miniconda_on_rpi.md
            
            
              Last active
              August 9, 2023 07:18
            
              
                Install Miniconda 3 on Raspberry Pi
              
          
    refer to: https://stackoverflow.com/questions/39371772/how-to-install-anaconda-on-raspberry-pi-3-model-b
{USER}: pi
Install Miniconda 3:
wget http://repo.continuum.io/miniconda/Miniconda3-latest-Linux-armv7l.sh
sudo md5sum Miniconda3-latest-Linux-armv7l.sh # (optional) check md5
sudo /bin/bash Miniconda3-latest-Linux-armv7l.sh # -&gt; change default directory to /home/pi/miniconda3


## SonicPi3Visualiser.rb
#Program to drive Sonic Pi 3 visualiser written in "processing"
#by Robin Newman, September 2017
#see article at https://rbnrpi.wordpress.com
#set up OSC address of processing sketch
use_osc '127.0.0.1',5000
#select shapes to show
osc "/viz/shapes","e"  #"s" "e" "r" Star,Ellipse, Rectangle or combination
sleep 0.1

live_loop :c do
	import numpy as np
	import matplotlib.pyplot as plt
	from scipy.spatial import KDTree

	# Generate some number of sites in
	# the square [0, 1] x [0, 1]
	np.random.seed(0)
	n_sites = 20
	sites = np.random.rand(n_sites, 2)
	# Create random velocities
	# -- coding: utf-8 --

	""" Deletes all tweets below a certain retweet threshold.
	"""

	import tweepy
	from datetime import datetime

	# Constants
	CONSUMER_KEY = ''
	#!/usr/bin/env python
	import os, os.path, stat, sys, base64

	# TOTP lib inlined
	import time, hmac, base64, hashlib, struct


	def pack_counter(t):
	return struct.pack(">Q", t)
	# @Author: xiewenqian <int>
	# @Date: 2016-11-28T20:35:09+08:00
	# @Email: wixb50@gmail.com
	# @Last modified by: int
	# @Last modified time: 2016-12-01T19:32:48+08:00


	import pandas as pd
	from pymongo import MongoClient
	#Program to drive Sonic Pi 3 visualiser written in "processing"
	#by Robin Newman, September 2017
	#see article at https://rbnrpi.wordpress.com
	#set up OSC address of processing sketch
	use_osc '127.0.0.1',5000
	#select shapes to show
	osc "/viz/shapes","e" #"s" "e" "r" Star,Ellipse, Rectangle or combination
	sleep 0.1

	live_loop :c do