Picture your Qualtrics export open in Excel. You filter by year-in-school, copy the satisfaction average to a cell, format it with two decimals, and paste it into your methods table. Every time you get new data you repeat all of that. What does that actually cost you?
Probably 20 minutes per batch. I've been treating it as normal.
This week you stop treating it as normal. Python holds one survey value the way a named cell holds a KPI. A variable is just a label you assign once and reuse forever. An f-string fills in a thesis template the way TEXT() fills an Excel formula — except it runs on 500 rows in the same second.
So by the end of this week I can write code that formats a row from my Qualtrics export without touching Excel?
Exactly that. Five short functions, each adding one layer. Day 3 formats one response field as a clean label. Day 4 normalises the messy free-text responses that arrive with inconsistent casing. Day 5 builds the full summary line with thousands separators. Day 6 checks whether a response has all required fields. Day 7 categorises a satisfaction score as low, medium, or high. By the end you have the raw pieces of the thesis pipeline you will finish in Week 4.
"Major: Economics" with an f-stringstrip(), lower(), and replace():.2f and :, formattingin and bool"low", "medium", or "high" with if/elif/elseGoal: by Friday you can format one survey response row entirely in code.
7 lessons this week
Picture your Qualtrics export open in Excel. You filter by year-in-school, copy the satisfaction average to a cell, format it with two decimals, and paste it into your methods table. Every time you get new data you repeat all of that. What does that actually cost you?
Probably 20 minutes per batch. I've been treating it as normal.
This week you stop treating it as normal. Python holds one survey value the way a named cell holds a KPI. A variable is just a label you assign once and reuse forever. An f-string fills in a thesis template the way TEXT() fills an Excel formula — except it runs on 500 rows in the same second.
So by the end of this week I can write code that formats a row from my Qualtrics export without touching Excel?
Exactly that. Five short functions, each adding one layer. Day 3 formats one response field as a clean label. Day 4 normalises the messy free-text responses that arrive with inconsistent casing. Day 5 builds the full summary line with thousands separators. Day 6 checks whether a response has all required fields. Day 7 categorises a satisfaction score as low, medium, or high. By the end you have the raw pieces of the thesis pipeline you will finish in Week 4.
"Major: Economics" with an f-stringstrip(), lower(), and replace():.2f and :, formattingin and bool"low", "medium", or "high" with if/elif/elseGoal: by Friday you can format one survey response row entirely in code.