shivakrishna9

Two arrays are called similar if one can be obtained from another by swapping at most one pair of elements in one of the arrays.

Given two arrays a and b, check whether they are similar.

Example

For a = [1, 2, 3] and b = [1, 2, 3], the output should be
areSimilar(a, b) = true.

The arrays are equal, no need to swap any elements.

shivakrishna9

DATA SCIENCE

Subjects:

• Intro to programming
• Statistics & Probability
• Intro to Data Science
• Data Visualization
• Machine learning
• Deep Learning

shivakrishna9

Most active GitHub users (git.io/top)

The count of contributions (summary of Pull Requests, opened issues and commits) to public repos at GitHub.com from Fri, 19 Jun 2015 15:17:38 GMT till Sun, 19 Jun 2016 15:17:38 GMT.

Only first 1000 GitHub users according to the count of followers are taken. This is because of limitations of GitHub search. Sorting algo in pseudocode:

githubUsers
 .filter(user => user.followers > 635)

shivakrishna9

/* Twitter API 1.1 favorites/following/followers backup (a textarea will appear so you can copy/paste to save data).
** Get your access keys to use Twitter API 1.1: https://dev.twitter.com/docs/auth/tokens-devtwittercom
** Format JSON in Firefox: https://addons.mozilla.org/EN-us/firefox/addon/jsonview/
** You can change Twitter API URL and Twitter screen_name, then execute script from a web page like https://api.twitter.com/1.1 in Firefox Scratchpad or any other browser console.
*/


var url = "https://api.twitter.com/1.1/favorites/list.json";
//var url = "https://api.twitter.com/1.1/friends/list.json";
//var url = "https://api.twitter.com/1.1/followers/list.json";

shivakrishna9

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

shivakrishna9

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The unreasonable effectiveness of Character-level Language Models\n",
    "## (and why RNNs are still cool)\n",
    "\n",
    "###[Yoav Goldberg](http://www.cs.biu.ac.il/~yogo)\n",

shivakrishna9

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

shivakrishna9

#
# Build configuration for Circle CI
#

general:
    artifacts:
        - /home/ubuntu/your-app-name/app/build/outputs/apk/

machine:
    environment:

shivakrishna9

shivakrishna9

<Text View
    android:text="Hapy Birthday"
    android:layout_width="150dp"
    android:layout_height="150"
    android:background="@android:color/darker_groy"
    >