Python's standard library is packed with powerful modules for processing data. Before reaching for third-party libraries, learn what's already built in — these tools will solve a surprising number of real-world problems.
| # | Lesson | Description |
|---|---|---|
| 01 | Regex | Pattern matching and text extraction |
| 02 | Datetime | Working with dates, times, and timezones |
| 03 | Collections Module | Specialized containers beyond the basics |
| 04 | itertools | Powerful iteration building blocks |
- Extract and validate data with regular expressions
- Handle dates, times, and timezones correctly
- Use Counter, defaultdict, namedtuple, and deque
- Combine itertools functions for elegant data pipelines
- Section 01: Fundamentals
- Section 02: Data Structures
- Section 05: Intermediate — especially generators