alexeygrigorev

import pandas as pd
from datetime import datetime
from sklearn.linear_model import LinearRegression


def impute_linear(df, X_cols, y_col):
    df = df.copy()
    
    null_values = df[y_col].isnull()
    

alexeygrigorev

import random
import functools

from IPython.display import display, clear_output
from ipywidgets import Button, Dropdown, HTML, HBox, IntSlider, FloatSlider, Textarea, Output


def annotate(examples,
             options=None,
             shuffle=False,

alexeygrigorev

from datetime import datetime
from prefect import task, flow
from prefect import get_run_logger

@task
def hello_task(date):
    logger = get_run_logger()
    logger.info("INFO level log message.")
    logger.info(f'date={date}')
    return date

alexeygrigorev

Move Zoom Recording

I was tired manually moving the recording of the podcast to Dropbox so I decided to automate it

It works for Windows only. For Linux / MacOS you'll need to modify the code for showing messages

Clone the repo

alexeygrigorev

Help with moving data from Slack to DataTalks.Club website!

• Fork the DataTalks.Club website repo
• Run the code in this notebook
  • Check this video if you need any help (https://www.loom.com/share/e7a25dff9fba42e6b1bc6991e1c7e7cd)
• Create a PR with code changes

alexeygrigorev

import sys
import json

NOTEBOOK_FILE = sys.argv[1]
print(f'messing up with {NOTEBOOK_FILE}')


with open(NOTEBOOK_FILE, 'rt') as f_in:
    doc = json.load(f_in)

alexeygrigorev

Cutting videos with FFMpeg without re-encoding

Here's how you use it:

./cut.sh conf2.mp4 out1.mp4 00:00:05 00:53:47

alexeygrigorev

def make_batches(seq, n):
    result = []
    for i in range(0, len(seq), n):
        batch = seq[i:i+n]
        result.append(batch)
    return result

alexeygrigorev

import multiprocessing
from concurrent.futures import ProcessPoolExecutor

from tqdm import tqdm


num_cores = multiprocessing.cpu_count()

pool = ProcessPoolExecutor(max_workers=num_cores)

alexeygrigorev

from glob import glob
from random import shuffle

import requests

coupon_codes = [
    'mlbookcamp-1',
    'mlbookcamp-2',
    'mlbookcamp-3',
    'mlbookcamp-4',