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final note
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‎.ipynb_checkpoints/Advanced Functions Test -checkpoint.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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"#Advanced Functions Test \n",
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"\n",
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"### For this test, you should use the built-in functions to be able to write the requested functions in one line."
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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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"###Problem 1\n",
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"\n",
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"Use map to create a function which finds the length of each word in the phrase\n",
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"(broken by spaces) and return the values in a list.\n",
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"\n",
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"The function will have an input of a string, and output a list of integers."
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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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"collapsed": true
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},
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"outputs": [],
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"source": [
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"def word_lengths(phrase):\n",
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" \n",
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" pass"
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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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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[3, 4, 3, 3, 5, 2, 4, 6]"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"word_lengths('How long are the words in this phrase')"
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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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"###Problem 2 \n",
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"\n",
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"Use reduce to take a list of digits and return the number that they\n",
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"correspond to. *Do not convert the integers to strings!* "
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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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"collapsed": true
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},
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"outputs": [],
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"source": [
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"def digits_to_num(digits):\n",
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" \n",
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" pass"
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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": 8,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"34321"
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]
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},
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"digits_to_num([3,4,3,2,1])"
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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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"###Problem 3\n",
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"\n",
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"Use filter to return the words from a list of words which start with a target letter."
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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": 3,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"def filter_words(word_list, letter):\n",
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" \n",
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" pass"
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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": 10,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['hello', 'ham', 'hi', 'heart']"
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]
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},
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"l = ['hello','are','cat','dog','ham','hi','go','to','heart']\n",
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"filter_words(l,'h')"
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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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"###Problem 4\n",
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"\n",
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"Use zip and list comprehension to return a list of the same length where each value is the two strings from\n",
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"L1 and L2 concatenated together with connector between them. Look at the example output below:"
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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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"collapsed": true
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},
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"outputs": [],
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"source": [
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"def concatenate(L1, L2, connector):\n",
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" \n",
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" pass"
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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": 14,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['A-a', 'B-b']"
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]
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},
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"execution_count": 14,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"concatenate(['A','B'],['a','b'],'-')"
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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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"###Problem 5\n",
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"\n",
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"Use enumerate and other skills to return a dictionary which has the values of the list as keys and the index as the value. You may assume that a value will only appear once in the given list.\n"
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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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"collapsed": true
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},
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"outputs": [],
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"source": [
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"def d_list(L):\n",
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" \n",
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" pass"
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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": 20,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'a': 0, 'b': 1, 'c': 2}"
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]
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},
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"execution_count": 20,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"d_list(['a','b','c'])"
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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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"###Problem 6\n",
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"\n",
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"Use enumerate and other skills from above to return the count of the number of items in the list whose value equals its index.\n"
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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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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"def count_match_index(L):\n",
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" \n",
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" pass"
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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": 24,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"4"
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]
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},
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"execution_count": 24,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"count_match_index([0,2,2,1,5,5,6,10])"
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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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"# Great Job!"
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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 2",
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"language": "python",
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"name": "python2"
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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": 2
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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": "ipython2",
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"version": "2.7.10"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}

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