Statistics with NumPy 2: Histogram Data
In Part 1 I introduced a selection of the most important and useful NumPy statistical methods.
CodeDrome
Programming projects in Python focused on STEM: science, technology, mathematics and engineering.
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A Text File Viewer in PyQt Part 4
In Part 4 of this series I will extend the PyQt Text File Viewer to display descriptions of non-printable ASCII characters and the codes of Unicode characters.
Creating Boxplots with Python
In my article Statistics with NumPy I showed how to create a selection of summary statistics.
Statistics with NumPy
I have already written a trio of articles on statistics with Python and you might like to read them before continuing with this article.
Statistics With Python: Timings
In Part 1 of this series I demonstrated the use of Python built-in and statistics module functions to calculate a selection of statistics.
Statistics With Python: Calculations
This article is the second of my series Statistics with Python. In Part 1 I looked at built-in Python functions and the statistics module.
Statistics With Python Lists and Functions
This is the first in a series of articles on calculating statistics from datasets using Python.
Saving EXIF Data with the Python Pillow Library
I have already written a couple of introductory articles on the Pillow image library and another on using the library to read EXIF data.
Tableizator: A Python Terminal Table Generator part 2
In Part 1 of this series I wrote a short Python program that printed sample tables with Unicode border characters.
A NumPy Cheat Sheet
NumPy is a large and complex library and most users will only need a small subset of its functionality.
Exploring Bezier Curves with Python: part 1
If you have ever attempted to draw a Bezier curve in a graphics application such as Inkscape you may have found it baffling and frustrating.