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[ CoursePig com ] Linkedin - Testing Python Data Science Code
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Get Bonus Downloads Here.url (Size: 180.18 MB) (Files: 83)
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01 - Introduction
01 - Testing scientific applications.mp4
01 - Testing scientific applications.mp4.jpg
01 - Testing scientific applications.srt
02 - What you should know.mp4
02 - What you should know.srt
03 - Setting up.mp4
03 - Setting up.srt
02 - 1. Testing Overview
01 - Why test.mp4
01 - Why test.srt
02 - Types of tests.mp4
02 - Types of tests.srt
03 - Challenges in testing scientific applications.mp4
03 - Challenges in testing scientific applications.srt
04 - Continuous integration overview.mp4
04 - Continuous integration overview.srt
03 - 2. pytest
01 - pytest overview.mp4
01 - pytest overview.srt
02 - Selecting tests.mp4
02 - Selecting tests.srt
03 - Parametrized tests.mp4
03 - Parametrized tests.srt
04 - Fixtures.mp4
04 - Fixtures.srt
05 - Mocking.mp4
05 - Mocking.srt
06 - Challenge Test with pytest.mp4
06 - Challenge Test with pytest.srt
07 - Solution Test with pytest.mp4
07 - Solution Test with pytest.srt
04 - 3. hypothesis
01 - Overview of hypothesis.mp4
01 - Overview of hypothesis.srt
02 - Testing with hypothesis.mp4
02 - Testing with hypothesis.srt
03 - NumPy utilities.mp4
03 - NumPy utilities.srt
04 - pandas utilities.mp4
04 - pandas utilities.srt
05 - Writing strategies.mp4
05 - Writing strategies.srt
06 - Challenge Test with hypothesis.mp4
06 - Challenge Test with hypothesis.srt
07 - Solution Test with hypothesis.mp4
07 - Solution Test with hypothesis.srt
05 - 4. Data Validation
01 - Using schemas.mp4
01 - Using schemas.srt
02 - Truth values.mp4
02 - Truth values.srt
03 - Floating point wonders.mp4
03 - Floating point wonders.srt
04 - Approximate testing.mp4
04 - Approximate testing.srt
05 - Dealing with randomness.mp4
05 - Dealing with randomness.srt
06 - Comparing pandas DataFrames.mp4
06 - Comparing pandas DataFrames.srt
07 - Challenge Testing numerical code.mp4
07 - Challenge Testing numerical code.srt
08 - Solution Testing numerical code.mp4
08 - Solution Testing numerical code.srt
06 - 5. Regression Testing
01 - Regression testing overview.mp4
01 - Regression testing overview.srt
02 - Selecting regression data.mp4
02 - Selecting regression data.srt
03 - Choosing quality metrics and baseline.mp4
03 - Choosing quality metrics and baseline.srt
04 - Quality regression testing.mp4
04 - Quality regression testing.srt
05 - Choosing speed and memory metrics.mp4
05 - Choosing speed and memory metrics.srt
06 - Performance regression testing.mp4
06 - Performance regression testing.srt
07 - 6. Testing Jupyter Notebooks
01 - Testing Notebooks overview.mp4
01 - Testing Notebooks overview.srt
02 - Using nbconvert.mp4
02 - Using nbconvert.srt
03 - Refactoring code.mp4
03 - Refactoring code.srt
04 - Other test libraries.mp4
04 - Other test libraries.srt
08 - Conclusion
01 - Next steps.mp4
01 - Next steps.srt
Bonus Resources.txt
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