Day 03 Files & APIs

Files & APIs

Real AI applications read files and call APIs. Today you read and write files, parse CSVs with the csv module, make HTTP requests with the requests library, and call a real REST API.

~1 hour Day 3 of 5 Hands-on Precision AI Academy

Today's Objective

By the end of this lesson you will read and write text and CSV files, make GET and POST requests with the requests library, parse a JSON API response, and handle HTTP errors gracefully.

01

file I/O

file I/O is the foundation of Day 3. Every concept that follows builds on the mental model you establish here. The most effective approach is to understand the principle first, then apply it — skipping straight to implementation creates gaps that compound into confusion later.

Work through each example in this lesson sequentially. The concepts connect, and the order is deliberate. If something is unclear, slow down at that point rather than pushing past it — a ten-minute pause now saves hours of debugging later.

01
file I/O
The core concept for today. Master this before moving to the next section.
02
CSV
The practical application that connects theory to working code.
03
HTTP requests
The integration step — where the day's concepts work together.
04
Common Errors
The mistakes that trip up beginners. Know them before you encounter them.
02

CSV in Practice

Understanding file I/O requires seeing it in motion. The code below is not a complete application — it is a minimal, working illustration of the key mechanism. Study the pattern, run it, break it deliberately, then fix it. That cycle builds real comprehension.

Read before you run. Trace through the code mentally first. Identify what each section does. Then run it and compare your mental model to the actual output. The gap between expectation and result is where learning happens.

Once the basic pattern works, the logical next step is CSV. This is where the abstraction becomes useful — you move from understanding the mechanism to applying it to real problems. The transition is usually smaller than it feels. Most of the hard work happened in Section 1.

03

HTTP requests

HTTP requests completes today's picture. It is where file I/O and CSV converge into a pattern you can apply to novel problems. This integration step is often where the day's learning consolidates — if the earlier sections felt abstract, this one typically makes them click.

Without CSV

Fragile and Incomplete

Implementing file I/O alone handles the happy path. Real systems encounter edge cases, invalid input, and unexpected state. Missing CSV means missing those guards.

With CSV

Robust and Production-Ready

Combining file I/O with CSV gives you a complete, defensible implementation. The extra lines cost ten minutes; the robustness they add is worth hours of debugging time.

Do not skip REST APIs. The final section of today ties the concepts together into a complete, tested implementation. Stopping early leaves you with fragments instead of a working mental model.
04

Common Errors and How to Avoid Them

Several mistakes appear consistently when engineers encounter Working with Files and APIs for the first time. Recognizing them now costs nothing; encountering them in production costs hours.

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Supporting Resources & Reading

Go deeper with these external references.

Day 3 Checkpoint

Before moving on, you should be able to answer these without looking:

Continue To Day 4
Data Analysis with Pandas