Category Archives: Python and Statistics

Statistical analysis on Python

Tests of statistical hypotheses in Data science with Python 3
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Tests of statistical hypotheses in Data science with Python 3

Testing statistical hypotheses are an integral part of Data Science.  In my new course, I used real-world data sets to test parametric and nonparametric hypotheses using Python 3. The course has several strengths that should not be ignored. It is hands-on, uses real-world data and focuses on testing statistical hypotheses using Python 3. It is taught […]

Data Visualization and Descriptive Statistics with Python 3
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Data Visualization and Descriptive Statistics with Python 3

For those of you interested in learning how to leverage the power of Python Seaborn and Matplotlib libraries to build high-quality professional visualizations that answer many relevant Data Science questions, my new course entitled Data Visualization and Descriptive Statistics with Python 3  is the solution.  The course uses a set of real-world data sources from the […]

BUG report in computing the median, median_high and median_low within the statistics library in Python 3
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BUG report in computing the median, median_high and median_low within the statistics library in Python 3

In this blog I discuss a bug that I found in Python 3.6.4 statistics module version 3.4 concerning the computation of the median, median_high and median_low function when missing values (NaN, nan) are present in the data. I reported this  bug to the Python team and had investigated it with different data, with all results […]

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