Alexey Grigorev alexeygrigorev

AWS Claude Web Instance Setup

Automated setup of a cheap AWS EC2 instance running Claude Code with a web UI.

Prompt:

create the cheapest instance on aws with 8gb of ram (arm is okay) and use ssh (razer.pem) to get there and install claude there, copy the same config as you use now and make claude

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

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

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

	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()

	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,

	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

	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)

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

	from concurrent.futures import ThreadPoolExecutor

	from tqdm import tqdm

	num_threads = 4
	pool = ThreadPoolExecutor(max_workers=6)

	def map_progress(pool, seq, f):
	results = []