Seanny123

from tqdm import tqdm


def chunker(seq, size):
    for pos in range(0, len(seq), size):
        yield seq[pos:pos + size]


with open("input.csv") as csv_fi:
    csv_lines = csv_fi.readlines()

Seanny123

import json
import requests

yelp_auth = "nope"

def get_events( city ):
    headers = { "Authorization": f"Bearer {yelp_auth}" }
    params = {"location": city, "limit": 5, "term": "seafood"}

    req = requests.get(

Seanny123

sudo dnf install kernel --enablerepo=updates-testing --best --allowerasing
sudo dnf config-manager --add-repo=https://negativo17.org/repos/fedora-nvidia.repo
sudo dnf update
sudo dnf -y remove "nouveau*"
sudo dnf -y install nvidia-driver akmod-nvidia nvidia-driver-cuda

Seanny123

"""Adapted from https://askubuntu.com/a/597414/168094

Example usage: python3 add_shortcut.py "xkill-short" "xkill" "<Alt><Ctrl><Shift>x"
"""

import argparse
import subprocess

parser = argparse.ArgumentParser()
parser.add_argument("name", help="Name of keyboard shortcut")

Seanny123

import numpy as np
import matplotlib.pyplot as plt


def plot_missing(df: pd.DataFrame, reg_diff, color="red"):
    d_diff = np.diff(df.index)
    gaps = d_diff > np.timedelta64(int(reg_diff), 'ns')
    gap_sizes = d_diff[gaps]

    for win_start, g_s in zip(df.index[:-1][gaps], gap_sizes):

Seanny123

date_col = "datetime"
data_col = "data"
filename = "whatevs.csv"

in_df = pd.read_csv(filename,
                    usecols=[date_col, data_col],
                    infer_datetime_format=True, index_col=data_col, parse_dates=data_col)

Seanny123

import pandas as pd

def mili_to_h(mili):
    return mili / 60 / 60 / 1000

df = pd.read_csv("SaveMyTime export 12_06_2018 to 13_06_2019.csv")
mlh = df[df["activityName"] == "MLH"]

gitkraken_start = pd.Timestamp("2019-05-01 00:00")
ibm_start = pd.Timestamp("2019-05-20 00:00")

Seanny123

using Genie

import Genie.Router: route, @params
import Base.convert


convert(::Type{Int}, s::SubString{String}) = parse(Int, s)


route("/sum/:x::Int/:y::Int") do

Seanny123

import numpy as np

r = np.arange(1.0, 11.0, 0.1)

n = len(r)**3
pts = np.empty((n, 3))
i = 0
for x in r:
    for y in r:
        for z in r:

Seanny123

+----+-----------------+--------+---------------------+---------------------+---------+
| id |     address     | build  |     updated_at      |     started_at      | is_live |
+----+-----------------+--------+---------------------+---------------------+---------+
|  1 | localhost:26257 | v2.0.3 | 2018-06-19 16:39:33 | 2018-06-19 16:31:13 | true    |
|  2 | localhost:26258 | v2.0.3 | 2018-06-19 16:39:33 | 2018-06-19 16:35:43 | true    |
|  3 | localhost:26259 | v2.0.3 | 2018-06-19 16:39:31 | 2018-06-19 16:37:01 | true    |
+----+-----------------+--------+---------------------+---------------------+---------+