Skip to content

Commit f6e99f1

Browse files
calebsmithcalebsmith
committed
Added the remaining html for class3 for markdown conversion.
This is just a stray file to track what hasn't been converted yet
1 parent 2df8dc4 commit f6e99f1

File tree

1 file changed

+239
-0
lines changed

1 file changed

+239
-0
lines changed

‎set2/class3.html

+239
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,239 @@
1+
<!-- Let's develop it: 15 minutes -->
2+
<section>
3+
<h3>Let's Develop It</h3>
4+
<p>Write a program that opens a text file and does some processing.</p>
5+
<ul>
6+
<li>The program should take a word as input and determine if the word appears in the file</li>
7+
<li>The program should use at least one function to do its work and you should be able to import this function in a Python shell and call it with a word and filename</li>
8+
<li>Use the functions from <a href="http://calebsmith.github.io/gdi-intro-python/examples/helpers.py">helpers.py</a> to help with reading in the lines and/or words of the file</li>
9+
<li>Download a book in plain text from <a href="http://www.gutenberg.org/wiki/Main_Page">Project Gutenburg</a> and put it into the same directory as your python file.</li>
10+
</ul>
11+
<p>The next slide has some code and other resources that should help you get started</p>
12+
</section>
13+
14+
<section>
15+
<h3>Let's Develop It- Example Code</h3>
16+
<pre><code contenteditable class="python">
17+
from helpers import generate_cleaned_lines
18+
19+
def is_word_in_file(word, filename):
20+
for line in generate_cleaned_lines(filename):
21+
# line will be a string of each line of the file in order
22+
# Your code goes here.
23+
# Your code should do something with the word and line variables and assign the value to a variable for returning
24+
25+
input_word = raw_input("Enter a word to search for:")
26+
answer = is_word_in_file(input_word, 'pride.txt')
27+
# Display the answer in some meaningful way
28+
</code></pre>
29+
<p>I have used <a href="http://calebsmith.github.io/gdi-intro-python/examples/pride.txt">Pride and Prejudice</a> from Project Gutenburg with my example code. You can click this link and copy/paste the text into a new text file called 'pride.txt' and save it in the same folder as your code</p>
30+
</section>
31+
32+
<!-- Block 3 20 minutes -->
33+
<section>
34+
<h3>Lists of ... Lists</h3>
35+
<p>Lists can contain not only numbers or strings, but also other lists.</p>
36+
<p class="fragment">Such a structure is said to be <strong>nested</strong></p>
37+
<p class="fragment">The following is a list of lists:</p>
38+
<pre><code contenteditable class="fragment python">
39+
game_board = [
40+
['O', 'X', ' '],
41+
[' ', 'X', ' '],
42+
[' ', ' ', ' '],
43+
]
44+
</code></pre>
45+
<p class="fragment">This can be indexed successively with <code>game_board[0][1]</code></p>
46+
</section>
47+
<section>
48+
<h3>Nested Lists continued</h3>
49+
<p>A list can be appended to a list as well</p>
50+
<pre><code contenteditable class="fragment python">
51+
mary_to_dos = ['eat', 'work', 'pick up laundry', 'care for baby', 'sleep']
52+
fran_to_dos = ['eat', 'work', 'call plumber', 'sleep']
53+
baby_to_dos = ['eat', 'sleep']
54+
55+
all_to_dos = []
56+
all_to_dos.append(mary_to_dos)
57+
all_to_dos.append(fran_to_dos)
58+
all_to_dos.append(baby_to_dos)
59+
60+
print all_to_dos
61+
62+
for to_dos in all_to_dos:
63+
for to_do in to_dos:
64+
print to_do
65+
</code></pre>
66+
<p class="fragment">What if we want to <strong>flatten</strong> the to do's?</p>
67+
<p class="fragment">What if we want the to do's to be unique?</p>
68+
</section>
69+
70+
<section>
71+
<h3>Lists of Dictionaries</h3>
72+
<p>One of the most common and useful nested data structures, is a list of dictionaries</p>
73+
<pre><code contenteditable class="fragment python">
74+
card_a = {
75+
'suit': 'spades',
76+
'number': 4,
77+
}
78+
79+
card_b = {
80+
'suit': 'hearts',
81+
'number': 8,
82+
}
83+
84+
hand = [card_a, card_b]
85+
86+
print 'The hand contains:'
87+
for card in hand:
88+
print 'A', card['number'], 'of', card['suit']
89+
</code></pre>
90+
</section>
91+
92+
<section>
93+
<h3>Dictionary of Lists</h3>
94+
<p>A dictionary can also contain values that are themselves other collections, such as lists.</p>
95+
<p class="fragment">Let's revisit the group of to do lists and find a better representation:</p>
96+
<pre><code contenteditable class="fragment python">
97+
mary_to_dos = ['eat', 'work', 'pick up laundry', 'care for baby', 'sleep']
98+
fran_to_dos = ['eat', 'work', 'call plumber', 'sleep']
99+
baby_to_dos = ['eat', 'sleep']
100+
101+
all_to_dos = {
102+
'mary': mary_to_dos,
103+
'fran': fran_to_dos,
104+
'baby': baby_to_dos,
105+
}
106+
107+
for name, to_dos in all_to_dos.items():
108+
print name, 'needs to: ', to_dos
109+
110+
# Changing this later can be accomplished with
111+
all_to_dos['baby'].append('cry')
112+
</code></pre>
113+
<p class="fragment">Now the to do lists can be indexed or modified by name</p>
114+
</section>
115+
116+
<section>
117+
<h3>Means of Combination</h3>
118+
<p>Lists, dictionaries, sets, tuples, and other collections are all a means of combination.</p>
119+
<p class="fragment">They can be freely combined to create the data structure needed for a particular problem</p>
120+
<p class="fragment">Eg. A list of dictionaries with lists</p>
121+
<pre><code contenteditable class="fragment python">
122+
all_tweets = [
123+
{
124+
'author': 'mary',
125+
'handle': '@hadalittlelamb',
126+
'date': '2013-01-22',
127+
'tweets': [
128+
'at Loco Pops enjoying a Raspberry Sage popsicle',
129+
'Learning Python is so much fun',
130+
],
131+
},
132+
]
133+
</code></pre>
134+
</section>
135+
136+
<section>
137+
<h3>Builtins for collections</h3>
138+
<p>Python provides several functions that help us work with these collections.</p>
139+
<table class="fragment">
140+
<tr>
141+
<td>len()</td>
142+
<td>Given a collection, return its length</td>
143+
</tr>
144+
<tr>
145+
<td>range()</td>
146+
<td>Create a list of integers in the range provided.</td>
147+
</tr>
148+
<tr>
149+
<td>sorted()</td>
150+
<td>Given a collection, returns a sorted copy of that collection</td>
151+
</tr>
152+
<tr>
153+
<td>enumerate()</td>
154+
<td>Returns a list of (index, element) from the list</td>
155+
</tr>
156+
<tr>
157+
<td>zip()</td>
158+
<td>Given one or more iterables, returns a list of tuples with an element from each iterable</td>
159+
</tr>
160+
</table>
161+
</section>
162+
163+
<section>
164+
<h3>Examples of using Builtins</h3>
165+
<pre><code contenteditable class="fragment python">
166+
# Using len() - Determines length
167+
print len([1, 2])
168+
169+
# range() - Quickly creates a list of integers
170+
print range(5)
171+
print range(5, 10)
172+
print range(0, 10, 2)
173+
print range(9, -1, -1)
174+
175+
# sorted() - Sort a given list
176+
grades = [93, 100, 60]
177+
grades = sorted(grades)
178+
print grades
179+
</code></pre>
180+
</section>
181+
182+
<section>
183+
<h3>Builtins Examples continued</h3>
184+
<pre><code contenteditable class="fragment python">
185+
# enumerate() - Obtain the index of the element in the loop
186+
187+
print 'To Do:'
188+
to_dos = ['work', 'sleep', 'work']
189+
for index, item in enumerate(to_dos):
190+
print '{0}. {1}'.format(index + 1, item)
191+
192+
print list(enumerate(to_dos))
193+
194+
# zip()
195+
widths = [10, 15, 20]
196+
heights = [5, 8, 12]
197+
for width, height in zip(widths, heights):
198+
print 'Area is {0}'.format(width * height)
199+
</code></pre>
200+
</section>
201+
202+
<!-- Let's develop it: 25 minutes -->
203+
<section>
204+
<h3>Let's Develop It</h3>
205+
<p>Write a program that expands on your previous one. If it is unfinished, feel free to finish the original exercise first. To expand on it, choose one of the following:</p>
206+
<ol>
207+
<li>Determine how many times the user provided word appears in the file and/or what lines it appears on</li>
208+
<li>Change the program so that it counts the number of times each word occurs. E.g. A dictionary of all words in the file, whose values are a count of their occurrences</li>
209+
<li>Use <a href="http://calebsmith.github.io/gdi-intro-python/examples/boilerplate.py">boilerplate.py</a> to help you improve the reusability of the program. (The comments in that file should explain the how and why)</li>
210+
</ol>
211+
<p>Resources for this and the previous exercise are provided on the next slide for convenience</p>
212+
</section>
213+
214+
<section>
215+
<h3>Resources</h3>
216+
<ul>
217+
<li>Helper functions are in <a href="http://calebsmith.github.io/gdi-intro-python/examples/helpers.py">helpers.py</a></li>
218+
<li>Download a book in plain text from <a href="http://www.gutenberg.org/wiki/Main_Page">Project Gutenburg</a> and put it into the same directory as your python file.</li>
219+
<li>You can use this link for <a href="http://calebsmith.github.io/gdi-intro-python/examples/pride.txt">Pride and Prejudice</a>. Click this link and copy/paste the text into a new text file called 'pride.txt' and save it in the same folder as your code</li>
220+
221+
</ul>
222+
<pre><code contenteditable class="python">
223+
from helpers import generate_cleaned_lines
224+
225+
def is_word_in_file(word, filename):
226+
for line in generate_cleaned_lines(filename):
227+
# line will be a string of each line of the file in order
228+
# Your code goes here. Do something with the word and line variables
229+
return result
230+
231+
input_word = raw_input("Enter a word to search for:")
232+
answer = is_word_in_file(input_word, 'pride.txt')
233+
# Display the answer in some meaningful way
234+
</code></pre>
235+
</section>
236+
237+
<section>
238+
<h3>Questions?</h3>
239+
</section>

0 commit comments

Comments
 (0)