play-with-jupyter

environment.yml

name: initial-env
channels:
  - conda-forge
  - defaults
dependencies:
  - python=3.7
  - numpy
  - matplotlib

initial.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "fantastic-criminal",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Welcome to the test task"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "rational-memorabilia",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello world!\n"
     ]
    }
   ],
   "source": [
    "print('Hello world!')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "opening-ukraine",
   "metadata": {},
   "outputs": [],
   "source": [
    "def count():\n",
    "    somearray = list(range(10))\n",
    "    return len(somearray)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "early-vacation",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "consistent-modification",
   "metadata": {},
   "outputs": [],
   "source": [
    "# the end"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}