pythonwhat
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datacamp
Verify Python code submissions and auto-generate meaningful feedback messages.
Since `pythonwhat v2.16.0`, different SCT functions do some assertions and verifications to figure out whether the function is appropriately used. You can see it in the CHANGELOG [here](https://github.com/datacamp/pythonwhat/blob/master/CHANGELOG.md#2160). Some of...
In [ch3ex6](https://www.datacamp.com/teach/editor/1536/edit/6571140900?branch=master) of "Machine Learning for Time Series in Python", the student has to complete this line of code. ```python missing_values = prices.isna().sum() ``` The SCT to check this was...
Currently, the context variable values or environment variable values are not included in the automatically generated message, which can be confusing.
The Reference [article that covers `check_function`](https://pythonwhat.readthedocs.io/en/latest/reference.html?highlight=type#pythonwhat.check_object.check_object) is missing explanations for - `state=None` - `typestr='variable'`
As you write chains of SCTs, every function 'contributes' to the feedback message that is generated in case the student made a mistake. All of these 'chunks' of feedback can...
If you look at the examples in the reference documentation of `check_function_def()`, you'll see that it's currently rather clunky to verify the signature of a function definition: - A lot...
When checking whether an object is correctly created and the exercise only contains a single `=` operator in addition to other 'object-mutating' operations that don't use `=`, highlighting trips up....
Suppose the following solution and SCT: ```python # solution round(1.1234) # sct Ex().check_function('round').check_args('number').has_equal_value() ``` Depending on how the student called the function, the feedback should be different: ```python round(2.345) #...
The following works fine: ```python # solution import numpy as np np.random.randint(1, 7) # sct Ex().check_function('numpy.random.randint') ``` The following does not: ```python # solution import numpy as np for x...
`testwhat` has `override_solution()`, where you can override solution code and solution environment variables. `pythonwhat` only allows you to override solution code (with `override()`). In addition, this is not parsed with...