snewcomer

import pandas as pd
import numpy as np
from datetime import datetime, time
from sklearn.linear_model import Lasso, Ridge, LogisticRegression
from sklearn.metrics import classification_report, confusion_matrix
import matplotlib.pyplot as plt

from sklearn.linear_model import LinearRegression
from sklearn.model_selection import train_test_split
from sklearn.metrics import r2_score, mean_squared_error, roc_auc_score

snewcomer

import pandas as pd
import numpy as np
from datetime import datetime, time

#import matplotlib.pyplot as plt

from sklearn.linear_model import LinearRegression
from sklearn.model_selection import train_test_split
from sklearn.metrics import r2_score, mean_squared_error
from sklearn.ensemble import RandomForestClassifier

snewcomer

import pandas as pd
import numpy as np
from datetime import datetime
import matplotlib.pyplot as plt

cal = pd.read_csv('cal.csv')

# clean summary
cal = cal.query("summary not in ('Mid-week Meditation', 'Coffee Chat: Meet our New Hires!', 'PED Lunch & Learn Hold', 'AskPeople')")
cal = cal[cal['summary'].str.contains("Company Holiday") == False]

snewcomer

import pandas as pd
from datetime import datetime

cal = pd.read_csv('cal.csv')

# clean summary
cal = cal.query("summary not in ('Mid-week Meditation', 'Coffee Chat: Meet our New Hires!')")
cal = cal[cal['summary'].str.contains("Company Holiday") == False]

# clean dtstart

snewcomer

"
with table_stats as (
  select psut.relname,
  psut.n_live_tup,
  1.0 * psut.idx_scan / greatest(1, psut.seq_scan + psut.idx_scan) as index_use_ratio
  from pg_stat_user_tables psut
  order by psut.n_live_tup desc
),
table_io as (
  select psiut.relname,

snewcomer

// NOTE: DO NOT DISABLE THIS ON YOUR OWN!
//       This lint is disabled here knowing that the contract for this
//       helper is that no untrusted content is passed in. If you disable
//       this lint and use htmlSafe elsewhere, you could risk opening up an
//       XSS vulnerability.

// eslint-disable-next-line name-xss/avoid-xss-risks
import { htmlSafe } from '@ember/template';

const DEFAULT_SAFE_TAGS = ['strong', 'em', 'b', 'i', 'u', 'br'];

snewcomer

// The global revision clock. Every time state changes, the clock increments.
let $REVISION = 0;

// The current dependency tracker. Whenever we compute a cache, we create a Set
// to track any dependencies that are used while computing. If no cache is
// computing, then the tracker is null.
let CURRENT_TRACKER = null;

// Storage represents a root value in the system - the actual state of our app.
class Storage {

snewcomer

Let's Make A Dropdown

Here, we intend a component that can be used for something like a user menu in a nav. Maybe you've heard it called "popover" or something like that.

It is not meant to be a select element, or used in a <form>.

Goals:

• make a component that other developers can consume as an addon
• it should be accessible

snewcomer

const minute = 60;
const hour = minute * 60;
const day = hour * 24;
const week = day * 7;
const month = day * 30;
const year = day * 365;

/**
 * Convert a date to a relative time string, such as
 * "a minute ago", "in 2 hours", "yesterday", "3 months ago", etc.

snewcomer

const makeArray = (size) => [...Array(size)].map(() => size);

const small = makeArray(1000);
const medium = makeArray(10000000);
const large = makeArray(100000000);

const solution1 = (arr) => {
	arr.includes(arr.length - 1);
};