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Exercise: reversing names, make folder for solutions
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‎06_Strings.ipynb

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"print(quote_list)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Joining strings\n",
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"\n",
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"We can also go the other way, joining a list of strings to a single string.\n",
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"The syntax is different, we must first specify the string that is used to \"glue\" the parts together.\n",
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"This is the opposite of the separator above."
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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": 4,
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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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"Strange women lying in ponds, distributing swords, is no basis for a system of government!\n"
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]
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}
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],
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"source": [
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"joined_list = \",\".join(quote_list)\n",
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"print(joined_list)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Exercise: reversing names\n",
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"\n",
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"Complete the function below which reverses names.\n",
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"\"Doe, John\" should become \"John Doe\".\n",
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"\n",
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"To reverse a list, you can use the method `reverse()`."
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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": 5,
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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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"None\n"
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]
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}
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],
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"source": [
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"def reverse_name(name):\n",
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" \"\"\"\n",
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" Convert a name from inverted form to regular\n",
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" >>> reverse_name(\"Doe, John\")\n",
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" 'John Doe'\n",
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" \"\"\"\n",
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" pass #your code here\n",
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"\n",
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"print(reverse_name(\"Doe, John\"))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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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": 5,
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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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": 6,
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"execution_count": 8,
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"metadata": {},
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"outputs": [
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{

‎07_Dictionaries.ipynb

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‎solutions_01.ipynb renamed to ‎solutions/solutions_01.ipynb

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‎solutions_03-04.ipynb renamed to ‎solutions/solutions_03-04.ipynb

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"\n",
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"print(\"Number of dissents:\", dissent_count)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Exercise: Count opinions per author"
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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": 4,
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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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"Number of opinions per author:\n",
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"JUSTICE EPSTEIN wrote 3 opinions\n",
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"JUSTICE GOLDENHERSH wrote 2 opinions\n",
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"JUSTICE CONNORS wrote 2 opinions\n",
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"JUSTICE HARRIS wrote 2 opinions\n",
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"PRESIDING JUSTICE GALLAGHER wrote 2 opinions\n"
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]
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}
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],
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"source": [
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"import requests\n",
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"import json\n",
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"\n",
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"\n",
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"URL = \"https://api.case.law/v1/cases/?jurisdiction=ill&full_case=true&decision_date_min=2011-01-01&page_size=20\"\n",
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"data = requests.get(URL).json()\n",
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"\n",
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"author2count = {}\n",
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"\n",
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"cases = data[\"results\"]\n",
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"for case in cases:\n",
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" opinions = case[\"casebody\"][\"data\"][\"opinions\"]\n",
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" for opinion in opinions:\n",
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" author = opinion[\"author\"]\n",
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" if author in author2count:\n",
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" author2count[author] += 1\n",
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" else:\n",
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" author2count[author] = 1\n",
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"\n",
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"# Sorting by count\n",
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"sorted_authors = sorted(author2count, key=lambda author: author2count[author], reverse=True)\n",
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"print(\"Number of opinions per author:\")\n",
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"for author in sorted_authors[:5]:\n",
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" count = author2count[author]\n",
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" print(\"%s wrote %d opinions\" % (author, count))\n"
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]
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}
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],
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"metadata": {

‎solutions_05.ipynb renamed to ‎solutions/solutions_05.ipynb

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‎solutions/solutions_06_07.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Exercise: reversing names"
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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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"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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"John Doe\n"
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]
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}
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],
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"source": [
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"def reverse_name(name):\n",
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" \"\"\"\n",
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" Convert a name from inverted form to regular\n",
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" >>> reverse_name(\"Doe, John\")\n",
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" 'John Doe'\n",
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" \"\"\"\n",
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" name_parts = name.split(\", \")\n",
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" name_parts.reverse()\n",
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" reversed = \" \".join(name_parts)\n",
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" return reversed\n",
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"\n",
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"\n",
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"print(reverse_name(\"Doe, John\"))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Exercise: Count opinions per author"
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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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"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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"Number of opinions per author:\n",
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"JUSTICE EPSTEIN wrote 3 opinions\n",
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"JUSTICE GOLDENHERSH wrote 2 opinions\n",
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"JUSTICE CONNORS wrote 2 opinions\n",
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"JUSTICE HARRIS wrote 2 opinions\n",
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"PRESIDING JUSTICE GALLAGHER wrote 2 opinions\n"
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]
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}
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],
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"source": [
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"import requests\n",
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"import json\n",
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"\n",
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"\n",
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"URL = \"https://api.case.law/v1/cases/?jurisdiction=ill&full_case=true&decision_date_min=2011-01-01&page_size=20\"\n",
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"data = requests.get(URL).json()\n",
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"\n",
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"author2count = {}\n",
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"\n",
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"cases = data[\"results\"]\n",
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"for case in cases:\n",
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" opinions = case[\"casebody\"][\"data\"][\"opinions\"]\n",
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" for opinion in opinions:\n",
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" author = opinion[\"author\"]\n",
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" if author in author2count:\n",
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" author2count[author] += 1\n",
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" else:\n",
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" author2count[author] = 1\n",
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"\n",
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"# Sorting by count\n",
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"sorted_authors = sorted(author2count, key=lambda author: author2count[author], reverse=True)\n",
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"print(\"Number of opinions per author:\")\n",
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"for author in sorted_authors[:5]:\n",
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" count = author2count[author]\n",
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" print(\"%s wrote %d opinions\" % (author, count))\n"
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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",
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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": "3.6.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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