python — course & live cohorts

Learn Python by automating your own work.

A hands-on course for professionals who live in spreadsheets, reports, and repetitive tasks. No computer science degree, no prior programming — you'll leave writing small programs that save you real hours every week.

  • automation
  • spreadsheets-and-data
  • modern-tooling

what you'll learn

Practical Python, from the first session

Every concept is introduced through a workplace example, and every session ends with something that runs. Exact dates and the final curriculum are still being settled — the waitlist hears first.

  • Programming fundamentals — variables, loops, and functions taught through workplace examples, not abstract math.
  • Files, spreadsheets, and data — read, clean, and combine the files you already work with every day.
  • Automating repetitive tasks — turn an hour of clicking into a script you run in seconds.
  • Reading and debugging code — understand what a program does, question it, and fix it when it breaks.
  • Modern tooling — notebooks, editors, and AI assistants: what each is for and when to trust it.
  • Habits that last — clear naming, small steps, checking your work — so your scripts stay useful.

who it's for

Built for first-time programmers

A good fit if you…

  • Spend your days in Excel, reports, or repetitive digital tasks
  • Have been curious about programming but never had a way in
  • Want skills you can use at work, not academic theory

Probably not for you if you…

  • Already write software for a living
  • Are looking for computer science theory or interview prep
  • Want to build large applications right away — this course starts with your daily work

live cohorts

Self-paced when you want it. Live when it helps.

Cohorts are live, remote, and small. You get structure, momentum, and a real person answering your real questions — the things that are hardest to get from a video library.

  • Instructor-led sessions — live and remote, not pre-recorded.
  • Hands-on exercises — you write the code during class, not after.
  • Structured progression — each week builds on the last.
  • Live questions — get unstuck in minutes, not days.
  • Practical projects — finish with work you can point to.
  • Feedback and peers — direct guidance, and classmates solving the same problems.

teaching approach

How the teaching works

Practical over theoretical

Concepts are introduced when you need them to build something, not as a syllabus to memorize.

Learn by building

Every session ends with something that runs. Small wins compound into working software.

Real-world practices

The habits taught — testing, review, incremental change — are the ones used on production teams.

Skills that transfer

Exercises mirror actual work: messy inputs, changing requirements, and code someone else has to read.

instructor

About David Stanek

David Stanek is a software engineer and educator with nearly three decades of professional experience. As a Principal Cloud Software Engineer at HPE, he works with the technologies and practices that power modern organizations.

Since 2019, David has taught Python at Case Western Reserve University, helping students without technical backgrounds learn how to apply technology to real business and workplace problems. He believes people do not need to become software engineers to benefit from tools such as Python, cloud computing, automation, and artificial intelligence.

His courses are designed to make modern technology accessible, practical, and useful, giving learners skills they can begin applying immediately.

expertise: software engineering · cloud · automation · ai · teaching

David Stanek, instructor at Learn, Fast

waitlist

Be first to hear when Python enrollment opens

Join the waitlist and you'll get announcements and early enrollment access for the Python course — nothing else, and you can unsubscribe any time.