Intro to Programming and Data Science (Summer 2020)/Day 4 Coding Challenges: Difference between revisions

Latest revision as of 17:31, 20 May 2020

Python for Everybody[edit]

Chapter 7:

Exercise 1: Tamara
Exercise 2: Vanessa
Exercise 3: Zhaozhe

Wordplay Level 2[edit]

For every letter, print the word that uses that character the most. Hint: use two nested for loops. First one is
```
for letter in 'abcdefghijklmnopqrstuvwxyz':
    # do something
```

Carly

Find the longest string where no character appears more than 1 time. (Hint: look up counters)
- Jessie
Use Python to find one other interesting fact about the data set. Examples (that you can't use) might be:
- One of the words that is tied for the most vowels is aquifoliaceous
- The word with the highest consonant to vowel ratio is sulphhydryls
- Ji-Young, Naomi, Tiwalade, Yihan, Nate

@@ Line 1: / Line 1: @@
 == Python for Everybody ==
-Chapter 7: Exercises 1, 2, 3
+Chapter 7:
+* Exercise 1: Tamara
+* Exercise 2: Vanessa
+* Exercise 3: Zhaozhe
+=== Wordplay Level 2 ===
-== Baby Names ==
+<ul>
-Using the baby names data from [[Intro_to_Programming_and_Data_Science_(Summer_2020)/Day_3_Coding_Challenges|The day 3 challenges]]:
+<li> For every letter, print the word that uses that character the most. Hint: use two nested for loops. First one is
-# Get the ratio of names that start with each letter.
+<source lang='python'>
-#* Do this for boys and girls.
+for letter in 'abcdefghijklmnopqrstuvwxyz':
-#* '''Hint''' First line of output should be something like:
+    # do something
-#*:  <pre>a: boys: 0.1002914920750592 girls: 0.17587602795796703</pre>
+</source>
-# Are girls or boys more likely to have a name that is used by both genders?
+</li>
-# Figure out how to change the ssadata.py file so that it loads births from 2017 instead of 2018.
+<ul>
+<li> Carly </li>
-== Above and beyond ==
+</ul>
-# Figure out how to load two years of birth data simultaneously and compare them (e.g., identify the top 20 names from 2017 and figure out how many more/fewer people were named those names in 2018).
+</ul>
-# Visualize some of the differences (probably in Excel)
+* Find the longest string where no character appears more than 1 time. (Hint: look up counters)
+** Jessie
+* Use Python to find one other interesting fact about the data set. Examples (that you can't use) might be:
+** One of the words that is tied for the most vowels is aquifoliaceous
+** The word with the highest consonant to vowel ratio is sulphhydryls
+** Ji-Young, Naomi, Tiwalade, Yihan, Nate