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100 exercises to learn Python Datatable

License: Apache License 2.0

Jupyter Notebook 100.00%

pydatatable python data-science datatable tutorial-exercises

datatableton's People

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datatableton's Issues

Use classification evaluation metric

Describe Issue
Using MAE for classification is non-standard.

Exercise / Set
Set 9

Suggested Fix
Use Logloss or AUC instead?

Exercise 25 error

Describe Error
"Select the element in the 4th row and 2nd column in data and assign it to value_1..."
Provided solution:
value_1 = data[4, 3]

Exercise / Set
Exercise 25 / Set 3

Suggested Fix
Shouldn't it be like value_1 = data[3, 1] or I'm missing something?
4th row considering numeration from 0 -> 3
2nd column considering numeration from 0 -> 1

Typo in Set 6: `Set 6` mentioned instead of `Set 7` at the end of the exercise and solution notebook

Describe Error
There is a Typo at the end of both the exercise and solution notebook where Set 7 is inadvertently mentioned as Set 6.

✅ This completes Set 6: Grouping Methods (Exercises 51-60) of DatatableTon: 💯 datatable exercises
Set 6 is coming soon!

Exercise / Set
Set 6

Suggested Fix

✅ This completes Set 6: Grouping Methods (Exercises 51-60) of DatatableTon: 💯 datatable exercises
Set 7 is coming soon!

Additional Comments
Any other information about the error.

Describe Error
It is asked in the task to find the mode for several columns.
The right answer is:
alcohol | proline
12.37 | 520.0
13.05 | 680.0
Because the mode is not necessarily unique to a given discrete distribution, the probability mass function may take the same maximum value at several points.
In this case, alcohol values are repeated 6 times and proline values are repeated 5 times.

Exercise / Set
Exercise 45 / Set 5

Suggested Fix
I don't know - maybe you can specify in the task that only the first value should be returned or the mode function can be improved so it will return multiple values.

Include an exercise for qcut()

Describe Topic
Include an exercise to implement the qcut() function in datatables which is a function for binning columns

Suggested Set
It can possibly be included in Set 5: Column Aggregations

Sample Exercise
Exercise : Create a new column B in frame data which contains deciles of column A
Solution : data['B'] = dt.qcut([dt.f.A])

datatable version 1.0.0 fails in Google Colab

The latest version of datatable, i.e., 1.0.0, fails to install in the Google Colaboratory environment. It throws the following error:

ERROR: Exception:
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/dist-packages/pip/_internal/cli/base_command.py", line 153, in _main
    status = self.run(options, args)
  File "/usr/local/lib/python3.7/dist-packages/pip/_internal/commands/install.py", line 382, in run
    resolver.resolve(requirement_set)
  File "/usr/local/lib/python3.7/dist-packages/pip/_internal/legacy_resolve.py", line 201, in resolve
    self._resolve_one(requirement_set, req)
  File "/usr/local/lib/python3.7/dist-packages/pip/_internal/legacy_resolve.py", line 365, in _resolve_one
    abstract_dist = self._get_abstract_dist_for(req_to_install)
  File "/usr/local/lib/python3.7/dist-packages/pip/_internal/legacy_resolve.py", line 313, in _get_abstract_dist_for
    req, self.session, self.finder, self.require_hashes
  File "/usr/local/lib/python3.7/dist-packages/pip/_internal/operations/prepare.py", line 224, in prepare_linked_requirement
    req, self.req_tracker, finder, self.build_isolation,
  File "/usr/local/lib/python3.7/dist-packages/pip/_internal/operations/prepare.py", line 49, in _get_prepared_distribution
    abstract_dist.prepare_distribution_metadata(finder, build_isolation)
  File "/usr/local/lib/python3.7/dist-packages/pip/_internal/distributions/source/legacy.py", line 37, in prepare_distribution_metadata
    self._setup_isolation(finder)
  File "/usr/local/lib/python3.7/dist-packages/pip/_internal/distributions/source/legacy.py", line 90, in _setup_isolation
    reqs = backend.get_requires_for_build_wheel()
  File "/usr/local/lib/python3.7/dist-packages/pip/_vendor/pep517/wrappers.py", line 152, in get_requires_for_build_wheel
    'config_settings': config_settings
  File "/usr/local/lib/python3.7/dist-packages/pip/_vendor/pep517/wrappers.py", line 255, in _call_hook
    raise BackendUnavailable(data.get('traceback', ''))
pip._vendor.pep517.wrappers.BackendUnavailable: Traceback (most recent call last):
  File "/usr/local/lib/python3.7/dist-packages/pip/_vendor/pep517/_in_process.py", line 63, in _build_backend
    obj = import_module(mod_path)
  File "/usr/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
  File "<frozen importlib._bootstrap>", line 983, in _find_and_load
  File "<frozen importlib._bootstrap>", line 965, in _find_and_load_unlocked
ModuleNotFoundError: No module named 'ext'

vopani / datatableton Goto Github PK

datatableton's People

Contributors

Stargazers

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datatableton's Issues

Use classification evaluation metric

Exercise 25 error

Typo in Set 6: `Set 6` mentioned instead of `Set 7` at the end of the exercise and solution notebook

Exercise 45 error

Include an exercise for qcut()

datatable version 1.0.0 fails in Google Colab

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