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#!/usr/bin/env python3
import argparse
import json
import csv
import os
import sys
import time
import requests
from bs4 import BeautifulSoup
import concurrent.futures

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#!/usr/bin/env python3
import argparse
import json
import csv
import sys
csv_max = sys.maxsize
while True:
    try:
        csv.field_size_limit(csv_max)
        break

udaylunawat

GitHub Gist Files:

1. Script File: telegram_rental_scraper.py

Contains the main script provided.

2. Requirements File: requirements.txt

telethon
pandas

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(async function executeInstagramPostCollection(maxPosts = 10) {
    console.log(`Starting Instagram post collection (limit: ${maxPosts} posts)...`);

    // Verify we're on Instagram
    if (!window.location.hostname.includes('instagram.com')) {
        console.error("This script should be run on Instagram.com");
        return;
    }
    

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import os
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
import gc
import subprocess
import random
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

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import os
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
import gc
import subprocess
import random
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

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# https://stackoverflow.com/a/64006242/9292995
# https://github.com/jfilter/split-folders
import splitfolders

# If your datasets is balanced (each class has the same number of samples), use ratio 
# otherwise use fixed if dataset is imbalanced.
splitfolders.ratio('input_dir', output="output_dir", oversample=False, ratio = (0.8, 0.1, 0.1),
                   seed=1337)
                   
# https://www.tensorflow.org/datasets/api_docs/python/tfds/folder_dataset/ImageFolder

udaylunawat

Breathe - text animation

A simple breathing text animation.

A Pen by Tanner Dolby on CodePen.

License.

udaylunawat