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Syntax, data structures, OOP, generators, async, testing.

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Academy

Python

/Generators 101

44%

Python · 9 lessons

Hello, Python

Variables & types

Loops & control flow

4Generators 101

5Iterators in depth

6Async basics

Testing with pytest

Packaging

counter.py

def count_up(start):

while True:

yield start

start += 1

# quiz: keep the generator alive

return start + 1✗ exits the function

for n in count_up(0):

if n > 5: break

print(n)

you@academy:~/python-dev$

?Checkpoint: print 0 through 5.

AITutorLive

Tutor

Reads your code · answers in context

Live

Lesson 4·8 min read

Generators 101

A generator is a function that pauses and resumes. It uses yield to hand a value back to the caller, then waits. return ends it for good.

Key idea

yield = pause and resume · return = stop

Ask the tutor a question

Roadmaps to a real role

Backend Engineer DevOps / Platform Frontend Engineer Site Reliability Engineer Full Stack Engineer Database Engineer

Featured courses

Hands-on, ready to run.

Every course boots a real workspace and an AI tutor that reads your code.

Python

Syntax, data structures, OOP, generators, async, testing.

19 lessons

Go

Goroutines, channels, interfaces, ship a real service.

20 lessons

Linux

Filesystem, systemd, networking, permissions, debugging.

17 lessons

Docker

Images, networks, volumes, multi-stage builds, Compose.

13 lessons

Kubernetes

Advanced

Pods, services, deployments, ingress, real cluster work.

PostgreSQL

Schemas, queries, indexes, EXPLAIN, performance tuning.

Bash

Pipelines, loops, traps, scripts that survive production.

Ansible

Inventories, playbooks, roles, idempotent infrastructure.

Jenkins

Pipelines, agents, credentials, deploy real apps from Git.

11 lessons

Browse the full catalog

Roadmaps

Pick a path. Get a job, not a certificate.

Roadmaps order the courses you need for a real role. Start at the beginning, finish at the end, and you can do the work.

Optional, opinionated, and grounded in what teams actually hire for.

See all roadmaps

Backend Engineer

Ship a real API, persist data, run it on Linux.

DevOps / Platform

Own the machine. Build the pipeline. Keep it boring.