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Programming Languages Beginner

Python for Absolute Beginners: Automate Your First Real Tasks

Learn Python by automating spreadsheets, files and reports you would otherwise do by hand.

Rated 5.0 out of 5 from 2 reviews 24 students

SN Created by Sofia Navarro

  • Last updated August 2026
  • English
  • 5h 12m of material
  • 39 lessons

What you will learn

8 concrete outcomes

Every bullet below is something you will have built, shipped or be able to explain by the time you finish the last lesson.

  • Write Python scripts that read, transform and write real files and CSV data
  • Use lists, dictionaries, comprehensions and functions to structure a script clearly
  • Call HTTP APIs with requests and handle failures, timeouts and rate limits
  • Manage dependencies with virtual environments and a requirements file
  • Handle errors deliberately with try and except instead of crashing on bad input
  • Add a command-line interface with argparse so scripts take options
  • Schedule a script to run automatically on Windows, macOS or Linux
  • Use type hints to get better autocompletion and catch mistakes earlier

Course curriculum

6 modules · 39 lessons · 5h 12m of material

7 lessons running 54m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

8 lessons running 1h 06m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

8 lessons running 1h 04m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

6 lessons running 46m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

5 lessons running 38m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

5 lessons running 44m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

6 modules · 39 lessons

5h 12m total length

Requirements

Short list, and deliberately so. If you meet these you can start today.

  • No programming experience required at all
  • A computer where you can install Python 3.12 and an editor such as VS Code
  • A few tedious manual tasks you would like to stop doing by hand

About this course

Beginner Python courses tend to spend three hours on syntax before you produce anything useful. This one gets you automating in the first module and teaches the language through the work. Every concept appears because a task needed it, which makes it stick.

You will read and write files, rename hundreds of them by rule, parse CSV data into summaries, generate a formatted report, pull data from a web API with requests, and schedule a script to run on its own. Along the way you cover variables, strings, lists, dictionaries, loops, conditionals, functions, modules, error handling and virtual environments, all in a working context rather than as isolated exercises.

The course uses Python 3.12 with type hints introduced gently, because they make editor assistance dramatically better for beginners. The final module covers packaging your scripts so colleagues can run them, writing a small argparse command-line interface, and the habits that keep a growing collection of automation scripts from becoming a mess: virtual environments, a requirements file, a README and version control.

Topics covered

Frequently asked questions

Still unsure about something? Write to misteryjj100@gmail.com and a human answers, usually the same working day.

Yes, it assumes nothing. The first lesson installs Python with you and the pace stays deliberate through the first two modules.

No. This is practical automation with the standard library plus requests. Data and machine learning topics are covered by courses in the AI and data categories.

Python 3.12, and every example also runs on 3.11. Version-specific syntax is avoided except where it genuinely improves clarity.

For anything that touches real files, yes. The final module introduces pytest with a handful of tests for the CSV and reporting code, which is enough to catch the mistakes that quietly corrupt output.

Checkout is handled on our provider's secure payment page. The moment your payment clears we email your personal access link and access code to the address you used at checkout, and the same link appears in your account library. There is nothing to install and nothing to wait for.

Email misteryjj100@gmail.com within 14 days of your purchase, quote your order number, and we refund the full amount to your original payment method. No form to fill in and no questions about how much of the course you watched.

What students say

Reviews are written by people who bought this course. We publish the critical ones too.

5.0

Rated 5.0 out of 5

Course rating · 2 reviews

Rating distribution

  • 5 stars 100%
  • 4 stars 0%
  • 3 stars 0%
  • 2 stars 0%
  • 1 star 0%
  • GT

    Grace Thornton

    Operations coordinator

    Mar 2026
    Rated 5.0 out of 5

    I automated the report I used to do by hand

    Four hours every month copying columns between spreadsheets, gone. The CSV chapter maps almost exactly onto the job I needed doing, and the argparse section meant I could hand the finished script to a colleague without standing over her.
  • IC

    Ismail Chaudhry

    Self-taught, switching careers

    Nov 2025
    Rated 5.0 out of 5

    Does not stop at hello world

    Most beginner Python finishes the moment you can print a list. This one keeps going through error handling, calling a web API and then actually scheduling the thing so it runs without you sitting there. That final stretch is what makes it useful rather than merely educational.

Your instructor

SN

Sofia Navarro

Python and data engineer

  • 231 students taught
  • 11 courses published
  • 4.5 instructor rating
  • Python
  • SQL
  • PostgreSQL
  • Data engineering

Sofia builds the pipelines that keep analytics teams honest, mostly Python on top of PostgreSQL under uncomfortable load. She teaches schema design, indexing and query planning against anonymised production datasets rather than toy tables, then wires the same data into pandas so the SQL and the Python halves stop being separate skills. Expect to spend real time reading execution plans and rather less time reading slides. She consults on migrations for teams that cannot afford downtime.

See every course by Sofia Navarro
$32 USD

One-time payment · lifetime access

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