These steps show how to install Tailwind CSS in a Pelican project, purge and minify it so you don't have to reference a 3+ MB CSS file but only several kB.
virtualenv venv. venv/bin/activatepip install nodeenvnodeenv env. env/bin/activatenpm install postcss postcss-cli autoprefixer tailwindcss purgecss cssnano
| # I need to extract common substrings from two strings named red and blue, | |
| # also with their positions in the blue string. | |
| # So, I wrote the function extract_common_substrings from scratch. | |
| # There is a bug in this function I can not solve. | |
| # Look at the function main: | |
| # If you remove the extra characters start_red, stop_red, start_blue, and stop_blue | |
| # then the last common substrings is missing. | |
| # However, including the extra characters you get the expected result. | |
| # Is it possible to change the function extract_common_substrings in such a way that | |
| # the extra characters are not needed? |
| from threading import Thread | |
| from pathlib import Path | |
| from queue import Queue | |
| import time | |
| import cv2 | |
| class Source: | |
| def __init__(self, name, stream): | |
| self._stream = stream |
| """ | |
| Neural MNIST with tensorflow | |
| """ | |
| # Extracted from | |
| # https://medium.com/@awjuliani/visualizing-neural-network-layer-activation-tensorflow-tutorial-d45f8bf7bbc4 | |
| # import the libraries | |
| import numpy as np | |
| import matplotlib as mp | |
| import matplotlib.pyplot as plt |
| import cv2 | |
| import numpy as np | |
| import argparse # https://docs.python.org/2/howto/argparse.html | |
| import gc # https://docs.python.org/2/library/gc.html | |
| # We process color images | |
| CHANNELS = 3 |
| import cv2 | |
| import numpy as np | |
| import argparse # https://docs.python.org/2/howto/argparse.html | |
| # We process color images | |
| CHANNELS = 3 | |
| # Normalization constant | |
| MAX_IMAGE = 256.0 | |
| class Operator(object): |