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113 lines
2.6 KiB
113 lines
2.6 KiB
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "76cc981d",
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"metadata": {},
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"source": [
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"# Wordle Master\n",
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"\n",
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"This notebook is meant ot teach you how to become a wordle master! In it we will run through various exercises in python to analyze words and do some simple analysis of the wordle dictionary and english words in general.\n",
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"\n",
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"The wordle dataset is from here: https://www.kaggle.com/bcruise/wordle-valid-words\n",
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"\n",
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"Let's get started with some python review!\n",
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"\n",
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"Strings are values which are wrapped in quotation marks, either single or double. Strings also act as lists - you can treat them as a sequence of individual characters which is really useful for analysis."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "ae40bab8",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"wordle\n"
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]
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}
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],
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"source": [
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"# Here is a variable called word which contains the string \"wordle\"\n",
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"name = \"wordle\"\n",
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"\n",
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"# You can print any value in python with the print() function\n",
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"print(name)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "8accc4ba",
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"metadata": {
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"scrolled": true
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"w\n"
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]
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}
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],
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"source": [
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"# Since strings are sequences we can index them to get individual letters.\n",
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"# Remember that indexing starts at 0\n",
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"first_letter = name[0]\n",
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"\n",
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"print(first_letter)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "18ac848a",
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"metadata": {},
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"source": [
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"### Exercise 1: Try and print the last letter of name using indexing"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "45e2c86e",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "markdown",
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"id": "e9ad82b7",
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"metadata": {},
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"source": [
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"## Indexing review\n",
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"\n",
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"Great job with that exercise! Indexing is a valuable tool when working with sequences and we'll be relying on it heavily in the rest of the module. "
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.1"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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