DynamicVibePython learning
How to study · reference & help

One lesson at a time

Read the idea, then follow the named exercise steps. On a phone, use Idea, Code and Output to switch views. Review days begin with recall before the rebuild. A self-review mark is not a scored answer.

Run, inspect, repair

Run loads Python in your browser on the first use, so you need an internet connection. Read Output and the check result. Stop interrupts a run; it keeps your code. Reset restores the selected starter, replacing that exercise’s draft. Use an authored hint before asking for help.

Keep your work

Code drafts, progress and Notes save on this device when browser storage is available. They do not sync through your login. Use Backup & records above to download saved learning records, preview an import or undo the latest import. Copy unsaved text first; clearing browser data can remove local work. A save warning means you should copy your work before leaving.

Practice files and reports

Each browser Run starts in a fresh temporary workspace. A sample file exists only when that run’s code creates it; these are not your computer’s files. On report tasks, use Preview to inspect the actual text and Download to request a copy before another Run, Reset, exercise change or leaving. Reports do not save through tutor login. Read files and write reports.

Get tutoring when you need it

Lessons and checkpoints do not need tutor login. Unlock the tutor through Training’s shared tutor access, then use its return link to come back here. Your question is only sent when you press Send. Do not paste passwords or private production data.

Python words in plain language

Assignment and type
frames = 96 binds a name to an integer. "96" is text, not the same numeric value. Values and names.
List and index
A list keeps items in order. Positions start at zero; the final nonnegative index is length minus one. List lookups.
Loop and indentation
A for loop processes each item. Indentation groups its repeated statements; a statement outside the block runs separately. Loops.
Parameter, argument and Return
A parameter names an input in a definition; an argument supplies its value in a call. Return gives a result to the caller; print displays it. A function that only prints returns None. Functions.
Dictionary and schema
A dictionary labels values with keys. A schema states the required fields and types; a missing fact is not automatically zero. Dictionaries · Validation.
File, CSV and JSONL
A file stores bytes/text. CSV needs a quoting-aware parser; JSONL contains one JSON value per line. Browser practice files are temporary, not computer files. CSV · JSONL.
Denominator and evidence
A rate divides a count by its declared eligible total. Keep exclusions visible. A quiz score, practical check and self-review are different evidence. Quality rates.

Read the error, then make one repair

SyntaxError / IndentationError
Python could not parse the code. Inspect the named line and the preceding line for a missing colon, unmatched quote/bracket or inconsistent indentation. Review blocks.
NameError
A name has no value here. Compare case and spelling, and check that assignment happens before use. Do not replace an unknown parameter with a fixed sample.
TypeError / ValueError
A wrong kind of value or an unacceptable value can fail an operation. Inspect the supplied input and declared policy; do not broadly suppress the error. Narrow error handling.
IndexError / KeyError
The requested position or key is missing. Inspect the collection and interface instead of guessing a fallback. Indices · Keys.
Run stays loading / runtime or checker unavailable
This is not proof that your answer is wrong. Stop if available, copy your draft, check your connection and retry. If it repeats, keep the visible error and use the readable lesson/hints. Never reset or clear browser storage as the first repair.
Expected sample prints, but a check fails
Read the named contract and test changed/empty inputs. The helper may return None, use a fixed value or stop too early even when the sample looks right. A failed check is not a request to copy the expected output.

Press Escape while working inside this panel to close it and return focus to its summary. Without JavaScript, use the summary again. For local Studio commands, use terminal troubleshooting.

Python foundations · 40 days

Python Lab

Learn Python for human-data work. Read, practise and check one idea at a time; review every five days.

0 of 40 days complete nothing completed yet — that's a fine place to be

0 of 40 days complete

Start here

Take the days in order

Open Day 1, read the one idea, then complete the four steps from left to right. Progress saves on this device.

Start Day 1 →

Already use Python? Try four Studio readiness tasks and choose a targeted refresher. New learners still start Day 1.

Find a lesson or reference

Search both Python courses by title or concept. The full maps remain available below.

Search needs JavaScript. Use the complete course maps and reference links instead.

    How each lesson works

    Read, practise, check, revisit

    Follow the named steps shown in each lesson. Ordinary days guide you from examples to your own code; review days bring earlier ideas back:

    1. One question about yesterday. Answer before you look — looking it up is a fine answer.
    2. One idea, in plain English. Use the idea beside the editor on a wide screen, above it on a tablet, or in the Idea tab on a phone.
    3. Guided practice, then your own code. Read an example, make a change, fill a gap or rebuild it, then tackle the named independent task. The step list shows today’s sequence.
    4. A check that tells the truth. What you got next to what the check expects, and errors in plain English first.
    If you get stuck

    Press ⚑ I'm stuck on any step. It flags the day on this route map, the next review day brings the idea back, and the tutor is built to ask you questions before it gives you an answer — that's deliberate, not a limitation.

    AI Tutor

    The tutor mounts here when JavaScript is available.