eugen-hoppe

import re


class To:
    @staticmethod
    def camel(snake: str, upper_first: bool = False) -> str:
        if snake.startswith("_"):
            snake = snake[1:]
        parts = snake.lower().split("_")
        if upper_first:

eugen-hoppe

How to use SSH? (MacOS)

1. How to connect via SSH?

1.1 How is the key named?

your_key

ssh -i ~/.ssh/your_key root@ip-address

id_rsa

eugen-hoppe

How to create a new user (Linux) with SSH Public Key?

To create new users and add their public keys on an Ubuntu server, follow these steps:

1. Create a New User

First, open a terminal and enter the following command to create a new user. Replace newuser with your desired username.

sudo adduser newuser

eugen-hoppe

echo $(htpasswd -nB USERNAME) | sed -e s/\$/\$\$/g

eugen-hoppe

from typing import Callable, Tuple, Type, Optional
from functools import wraps


def try_except(
    errors: Tuple[Type[Exception], ...] = (Exception,),
    raise_: Optional[Type[Exception]] = None,
    txt_: str = ""
) -> Callable:
    """A decorator that wraps a function to handle exceptions"""

eugen-hoppe

@dataclass
class Cat:
    ignore_steps: bool = False
    step: int = 0
    labels: pd.DataFrame | None = None
    categories: pd.DataFrame | None = None
    sorted_labels: pd.DataFrame | None = None
    merged_final: pd.DataFrame | None = None
    category_prefixes: list[str] = field(
        default_factory=lambda: ['c1', 'c2']

eugen-hoppe

import pkg_resources
import os


INPUT_FILE = "requirements.txt"
OUTPUT_FILE = "requirements_.txt"
# OUTPUT_FILE = "requirements.txt"


def get_installed_version(package_name):

eugen-hoppe

def create_sample_csv(path: str, name: str, rows: int, shuffle: int = 0) -> None:
    path_file_csv  = f'{path}/' + name.removesuffix('.csv') + '.csv'
    input_df = pd.read_csv(path_file_csv)
    if bool(shuffle):
        input_df.sample(frac=1, random_state=shuffle)
    output_df = input_df.head(rows)
    output_df.to_csv(path_file_csv.replace('.csv', '_sample.csv'), index=False)

eugen-hoppe

import shutil
import zipfile
import os

from google.colab import drive


def copy_and_unzip_from_drive(drive_path, local_path, drive_mount = "/content/drive"):
    """docs: https://gist.github.com/eugen-hoppe/93ece48e0b224b853698249502aa9ba9"""
    drive.mount(drive_mount)

eugen-hoppe

from dataclasses import dataclass
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.axes as type_ax


@dataclass
class Plot:
    """src: https://gist.github.com/eugen-hoppe/400e47930f733229eaf773f070c81e62"""
    df: pd.DataFrame  # .                            Cache pd.Dataframe for plot