GuiMarthe

import pandas as pd
import numpy as np 

def makeMixedDataFrame():
    return pd.DataFrame(
            {
                "A": [0.0, 1.0, 2.0, 3.0, 4.0],
                "B": [0.0, 1.0, 0.0, 1.0, 0.0],
                "C": pd.Index(["foo1", "foo2", "foo3", "foo4", "foo5"], dtype=object),
                "D": pd.date_range("20130101", periods=5),

GuiMarthe

# On slow systems, checking the cached .zcompdump file to see if it must be 
# regenerated adds a noticable delay to zsh startup.  This little hack restricts 
# it to once a day.  It should be pasted into your own completion file.
#
# The globbing is a little complicated here:
# - '#q' is an explicit glob qualifier that makes globbing work within zsh's [[ ]] construct.
# - 'N' makes the glob pattern evaluate to nothing when it doesn't match (rather than throw a globbing error)
# - '.' matches "regular files"
# - 'mh+24' matches files (or directories or whatever) that are older than 24 hours.
autoload -Uz compinit 

GuiMarthe

function validateType(expected, input) {
    if (!input) return false;

    // maps verifications for standard types and custom classes
    const typeVerifier = {
        Object: (x) => typeof x === 'object' &&
            !Array.isArray(x) &&
            x !== null,
        String: (x) => typeof x === 'string',
        Number: (x) => typeof x === 'number',

GuiMarthe

Debug zsh startup time

1. Inject profiling code

   At the beginning of your .zshrc add following: zmodload zsh/zprof

   and at the end add: zprof

   This will load zprof mod and display what your shell was doing durung your initialization.

GuiMarthe

import pandas as pd
import datetime
from datetime import datetime as dt
from dateutil.relativedelta import *

class TimeBasedCV(object):
    '''
    Parameters 
    ----------
    train_period: int

GuiMarthe

def get_feature_names(column_transformer):
    """Get feature names from all transformers.
    Returns
    -------
    feature_names : list of strings
        Names of the features produced by transform.
    """
    # Remove the internal helper function
    #check_is_fitted(column_transformer)
    

GuiMarthe

#!/bin/bash

grep_output=$(grep --color=always -E '^.*(breakpoint|set_trace)\(\)' -H -n -R -I -o --include="*.py")

[ $grep_output ] \
    && echo 'Found breakpoint or set_trace in your code.' \
    && echo "$grep_output"\
    && exit 1  \
    || exit 0

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//When you copy a file from an external drive onto linux, the files gets weird permissions and gets colored differently by your standard `ls` std outupt. 
//This changes the permissions so that it degreens it. 
function degreen() {
chmod -R a-x,o-w,+ $@
}

GuiMarthe

function psgrep() { ps axuf | grep -v grep | grep "$@" -i --color=auto; }

GuiMarthe

import pandas as pd
from functools import reduce

def crossing(df1: pd.DataFrame, df2: pd.DataFrame) -> pd.DataFrame:
    """
    Returns a data frame with the cross product (every pair possible) of rows
    between df1 and df2
    """
    df1["join_key"] = 0
    df2["join_key"] = 0