kracekumar

"""
Given an array of objects representing ingredients (each with a name and amount per serving), and a target number of servings, write a function to calculate the required amount of each ingredient for the target servings. Return the results as an array of objects with name and amount. Can you do this in less than 5 lines? In one?
Example: 
const ingredients = [
  { name: "flour", amount: 200 }, // 200g per
  { name: "sugar", amount: 100 }, // 100g per
  { name: "eggs", amount: 2 }     // 2 eggs per
];
const targetServings = 3;

kracekumar

NATO_DICTIONARY = {
    "A": "Alpha",
    "B": "Bravo",
    "C": "Charlie",
    "D": "Delta",
    "E": "Echo",
    "F": "Foxtrot",
    "G": "Golf",
    "H": "Hotel",
    "I": "India",

kracekumar

1
00:00:00,000 --> 00:00:24,000
It's a simple game. You have 15 players. Give one of them the ball. Get it into the net.

2
00:00:24,000 --> 00:00:26,000
Very simple. Isn't it?

3
00:00:26,000 --> 00:00:31,000

kracekumar

"""
Datastructures
1. Tuple
2. List
3. Set
4. Dictionary
5. Class
"""
import datetime

kracekumar

Rust is a multi-paradigm, general-purpose programming language designed for performance and safety, 
especially safe concurrency.
Rust is syntactically similar to C++, but can guarantee memory safety by using a borrow checker to validate references.
Rust achieves memory safety without garbage collection, and reference counting is optional.
Rust has been called a systems programming language and in addition to high-level features 
such as functional programming it also offers mechanisms for low-level memory management.

First appearing in 2010, Rust was designed by Graydon Hoare at Mozilla Research, with contributions from 
Dave Herman, Brendan Eich, and others.
The designers refined the language while writing the Servo experimental browser engine 

kracekumar

Python is an interpreted high-level general-purpose programming language. 
Its design philosophy emphasizes code readability with its use of significant indentation. 
Its language constructs as well as its object-oriented approach aim to help programmers write clear, 
logical code for small and large-scale projects.

Python is dynamically-typed and garbage-collected. 
It supports multiple programming paradigms, including structured (particularly, procedural), 
object-oriented and functional programming. It is often described as a "batteries included" language 
due to its comprehensive standard library.

kracekumar

[tool.poetry]
name = "flask-sqlalchemy"
version = "0.0.1"
description = ""
authors = ["kracekumar <>"]
license = "MIT"
readme = ""
repository = ""

[tool.poetry.dependencies]

kracekumar

import tweepy
import json
from sqlite_utils import Database

def authenticate():
    # twitter API credentials
    cred = json.load(open('.cred.json', 'r'))
    auth = tweepy.OAuthHandler(consumer_key=cred['api_key'], consumer_secret=cred['api_secret_key'])
    auth.set_access_token(key=cred['access_token'], secret=cred['access_token_secret'])
    api = tweepy.API(auth)

kracekumar

{
  "cropHintsAnnotation": {
    "cropHints": [
      {
        "boundingPoly": {
          "vertices": [
            {
              "x": 89
            },
            {

kracekumar

import torch
import torch.nn.functional as F
import torchvision
import torchvision.models as models
import mlflow
import mlflow.pytorch
import numpy as np


class Model(mlflow.pyfunc.PythonModel):