Unit 9: Advanced Topics

Lessons

1. 1 Recursion and Problem DecompositionWhat recursion is, base cases, recursive cases, problem decomposition 25–30 min
2. 2 Working with External LibrariesBuilt-in vs external libraries, installing libraries, importing libraries 20–25 min
3. 3 APIs and Data RetrievalWhat an API is, HTTP requests, JSON responses, using requests library, error handling 30–40 min
4. 4 Introduction to JSON and Data ParsingWhat JSON is, JSON structure, parsing JSON, creating JSON, working with JSON files 20–25 min
5. 5 Efficiency and Big-O BasicsAlgorithm efficiency, big-O notation, time complexity, common complexities, optimization 25–30 min
6. 6 Working with Dates and Timesdatetime module, creating dates, formatting dates, time differences, date arithmetic 20–25 min
7. 7 Data Visualization with MatplotlibWhy visualize data, matplotlib basics, plot types, customization, displaying plots 25–30 min
8. 8 Basic Automation with PythonWhat automation is, file automation, data automation, task automation, benefits 25–30 min
9. 9 Introduction to File Formats (CSV, JSON, and Excel)CSV files, JSON files, Excel files, reading files, writing files 30–40 min
10. 10 Applying Advanced Concepts TogetherCombining concepts, project planning, real-world applications, best practices 30–40 min

11. End of unit test

    Ten multiple choice questions worth 7 points each and one free response problem worth 30, so 100 in total. Score 70 or more to finish Unit 9 and unlock Unit 10.

    Take the Unit 9 test