Python

Markov: Build a Text Generator

Feed it a book and it writes new sentences in the same voice. You build the great-grandparent of every language model, in about fifteen lines.

PythonAdvancedFor fun, and portfolio-worthy

What you'll be able to build

Feed it a book and it writes new sentences in the same voice. You build the great-grandparent of every language model, in about fifteen lines. Along the way you pick up real, transferable Python skills, not just this one project:

  • building a transition model with dict.setdefault
  • zip & pairwise iteration
  • seeding RNG for reproducibility
  • random.choice & weighted sampling
  • training-then-generating workflow
  • list accumulation & join

A course like this one

Yours is built from your own placement, so module count and depth will differ. This map shows what a advanced-level Python learner building Markov actually gets.

  1. Module 1: Idiomatic Python and comprehensions5 lessons

    Builds the production-ready version of the script for your markov.

  2. Module 2: Profiling and performance5 lessons

    Builds the production-ready version of the reusable module for your markov.

  3. Module 3: Concurrency, async, and I/O5 lessons

    Builds the production-ready version of the service boundary for your markov.

  4. Module 4: Data structures and algorithms5 lessons

    Builds the production-ready version of the data flow workflow for your markov.

  5. Module 5: Iterators and advanced control flow5 lessons

    Builds the production-ready version of the function that powers your markov.

  6. Module 6: Typing and production hardening3 lessons

    Builds the production-ready version of the release package for your markov.

How the lessons actually work

Leans on:random

Every lesson has you predict what a piece of Python code will output before you run it, then run it for real in your browser and fix what you got wrong. Each module ends in a challenge gate with hidden tests, so you can't advance until your code actually works. The course closes with a capstone that assembles everything into Markov, and a runnable proof page tied to your own code.

Common questions

How long does the Markov: Build a Text Generator course take?

about 7 hours, across 6 modules and 28 lessons, at roughly 15 minutes per lesson. Your own course may run shorter or longer, since it's sized to your placement result, not a fixed template.

Do I need experience?

Yes. This is an advanced-tier Python project, so it assumes you're already comfortable writing and reading Python before you start.

How much does it cost?

$15 one-time, no subscription. The first module is free, so you can see exactly how the course teaches before you pay for the rest.

No subscription. Module one is free.

Build my Markov