kingspp

# %% [markdown]
# RMV Appointment Finder v1.0

# %%
# Install Required Libraries
# !python3 -m pip install selenium pandas tqdm webdriver-manager -q
#
# Execution:
# python3 us_rmv_appointment_finder.py
#

kingspp

// Run below code in respective window console

window.addEventListener("focus", e => document.getElementsByClassName("split-menu-button")[0].click());

kingspp

#!/bin/bash
# Convert bash aliases to bash scripts.
#
# Copyright 2018 <hoijui.quaero@gmail.com>, licensed under the GPL-3.0+
#
# Usage:
#   convert_bash_aliases_to_scripts          # converts all bash aliases to script files
#   convert_bash_aliases_to_scripts clean    # removes all scripts previously converted by this script

COLOR_RED=$'\e[0;31m'

kingspp

#!/bin/bash
 
# Script for installing Fish Shell on systems without root access.
# Fish Shell will be installed in $HOME/local/bin.
# It's assumed that wget and a C/C++ compiler are installed.
 
# exit on error
set -e

FISH_SHELL_VERSION=3.1.2

kingspp

// Credits - https://gist.github.com/yershalom/a7c08f9441d1aadb13777bce4c7cdc3b

const base_url = 'https://api.github.com';

    function httpGet(theUrl, return_headers) {
        var xmlHttp = new XMLHttpRequest();
        xmlHttp.open("GET", theUrl, false); // false for synchronous request
        xmlHttp.send(null);
        if (return_headers) {
            return xmlHttp

kingspp

import traceback
import sys

# Context manager that copies stdout and any exceptions to a log file
class Tee(object):
    def __init__(self, filename):
        self.file = open(filename, 'w')
        self.stdout = sys.stdout

    def __enter__(self):

kingspp

import typing
import matplotlib.pyplot as plt
import tensorflow as tf

def plot_confusion_matrix(cm: np.array, label_mappings:typing.Dict, num_classes:int) -> plt.Figure:
        """
        | **@author:** Prathyush SP
        |
        | Create a confusion matrix using matplotlib
        :param cm: A confusion matrix: A square ```numpy array``` of the same size as labels

kingspp

# Argsort
l = [1,8,3,10,13, 23,4]
# Ascending
args = sorted(range(len(l)), key=l.__getitem__)
#[0, 2, 6, 1, 3, 4, 5]
# Descending
args[::-1]
#[5, 4, 3, 1, 6, 2, 0]

kingspp

# -*- coding: utf-8 -*-
"""
| **@created on:** 18/07/18,
| **@author:** prathyushsp,
| **@version:** v0.0.1
|
| **Description:**
| 
|
| **Sphinx Documentation Status:** --

kingspp

pandas2spark

This repo demonstrates moving from pandas to spark for big data analysis

Python - v3.5.2
Pandas - v0.19.2
Spark - v2.1.0

Pandas Installation