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Python: Uncharted

Python

Start from your very first line of code and go all the way: functions, classes, generators, decorators, how Python really runs, and the data structures behind it all. The language that automates everything, learned by automating things.

Easy to Intermediate to Hard
20 units
400 lessons

Follow the units in order, or explore any lesson that interests you.

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Course syllabus

20 units

1. Hello, Python
Write your first instructions, see how literal sequencing works, and make Python move a courier.
20 lessonsStart here
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2. Names for Things
Assign clear names, update changing values, trace state, and make every Python chore script easier to read.
20 lessons
3. Numbers and Text
Turn familiar arithmetic into Python, understand rounding, and build polished text from changing values.
20 lessons
4. Making Decisions
Turn comparisons into clear choices with boolean logic, if/else branches, and ordered decision ladders.
20 lessons
5. Loops
Turn repeated work into clear while and for loops, then control, nest, and accumulate across practical scripts and courier routes.
20 lessons
6. Functions
Name reusable behavior, personalize it with parameters, return useful values, and compose small functions into larger programs.
20 lessons
7. Lists
Create ordered collections, update them in place, loop through daily data, and slice or search the pieces an automation needs.
20 lessons
8. Dictionaries
Group related values under exact keys, update and traverse dictionaries, build tallies, and combine dictionaries with lists to model useful data.
20 lessons
9. Strings in Depth
Search, normalize, slice, split, rebuild, and craft Python text that holds up under real-world input.
20 lessons
10. Tuples, Sets, and Unpacking
Use tuples for fixed records, unpack values cleanly, use sets for uniqueness and membership, and choose the collection that matches each data relationship.
20 lessons
11. Comprehensions
Build readable list, dictionary, and set comprehensions, combine transformations with filters, and know when an explicit loop communicates the job better.
20 lessons
12. Functions as Values
Pass functions as data, customize algorithms with callbacks and key functions, build closures that retain state, and return configured behavior from other functions.
20 lessons
13. Recursion
Design honest base cases, reason about call stacks, process recursive structures, add memoization, and choose recursion only when it fits the problem and Python’s limits.
20 lessons
14. Classes
Create independent instances, change and coordinate their state through methods, connect classes to Python protocols with dunder methods, extend behavior through inheritance, and choose classes or dictionaries to fit a model.
20 lessons
15. Errors and Robustness
Read tracebacks as evidence, raise and catch precise exceptions, validate inputs defensively, and debug methodically until fixes survive meaningful checks.
20 lessons
16. Iterators and Generators
Use the iterator protocol, yield values over time, consume lazy and infinite streams safely, reason about exhaustion, and compose generator pipelines that retain only the state they need.
20 lessons
17. Decorators and Function Craft
Wrap call behavior with decorators, forward flexible arguments, preserve function identity, and combine functools and itertools into readable reusable tools.
20 lessons
18. How Python Runs
Connect Python names to objects, reason about identity and mutability, uncover the protocols behind familiar syntax, and trace the engine through reference counting, bytecode interpretation, and the GIL.
20 lessons
19. Data Structures and Algorithms, in Python
Measure how work grows, build foundational structures, implement honest searches and sorts, and traverse graph relationships with explicit step budgets.
20 lessons
20. The Hero Road
Read unfamiliar Python, refactor without changing behavior, synthesize automation projects from course-wide tools, and deliver a validated, routed, generator-reported capstone.
20 lessons

400 lessons across 20 units. Start with any published unit.