episode 11 Working with JSON, CSV & APIs in Python
🎓 Episode 11: Working with JSON, CSV & APIs in Python – Real-World Data Handling
Welcome to Episode 11 of the Python Developer Bootcamp!
In this episode, we explore real-world data formats like JSON and CSV, and show you how to access external data using APIs. You’ll learn to read, write, and parse structured data like a pro.
✅ What You’ll Learn:
Reading and writing JSON using Python’s json module
Saving and parsing CSV files using the csv module
Fetching and decoding data from public APIs
Converting between Python dictionaries and JSON
Navigating nested data from API responses
🧠 Key Concepts:
Real-world data formats and structures
Safe file handling and API response validation
Combining local and remote data workflows
🚀 By the end of this episode, you’ll confidently process data from files and APIs in Python.
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🔔 Next up: Databases and SQLite for structured data persistence.
#Python #JSON #CSV #APIs #requests #DeveloperBootcamp
00:00 – 00:40 – Introduction
Overview of JSON, CSV, and API usage.
00:40 – 02:30 – Working with JSON
json.dumps, json.load, json.dump.
02:30 – 04:30 – Saving and Loading JSON
File handling with json module.
04:30 – 06:30 – Working with CSV
csv.writer, reader, DictReader.
06:30 – 08:30 – Fetching APIs with requests
GET requests and response handling.
08:30 – 10:30 – Navigating Nested Data
Accessing nested dictionaries and lists.
10:30 – 12:00 – Recap & What’s Next
Summary and teaser for SQLite.