## Discrete Probability Distributions with Python

In this article we are going to explore probability with Python with particular emphasis on discrete random variables. Discrete values are ones which can be counted as opposed to measured. This is...

## Exploring Simpson’s Paradox with Python

In this article we are going to learn about Simpson’s Paradox and explore it with Python programming. Simpson’s Paradox is where data appears to tell a different story when treated as a...

## The Gambler’s Fallacy with Python and JS

In this article, we are going to explore the Gambler’s Fallacy with Python and p5.js by simulating sequences of coin flips. If I flip a coin 4 times, and the probability of...

## Python Seaborn – `distplot` is a deprecated function

The problem – Seaborn distplot is deprecated Staring with version 0.11.0 of the Python Seaborn data visualization library, distplot is a deprecated function, and will be removed in a future version. You...

## Descriptive Statistics for World GDP per Capita with Python

The only way to gain proficiency in working with data is through experience. Theory can be important, but unless you have a decent amount of hands-on experience to draw upon, it will...

## Practical Data Science with Python – Selecting Data from a DataFrame

The task: Emulate SQL SELECT with a pandas dataframe E.g. SELECT * FROM table WHERE column_name = some_value; The code in this lesson was written in a Juypter Notebook. This means it...

## Introduction to Data Science with Python

The ability to make sense of data is more important than ever in today’s complex world. Data is everywhere, and being able to interpret it empowers us to make effective decisions, as...

## Time Complexity in Python Programming

This is an article about time complexity in Python programming. In it we explore what is meant by time complexity and show how the same program can be dramatically more or less...

## Generating Random Graphs in Python

Random Graphs in Python for A Level Computer Science and Beyond The jupyter notebook below shows an implementation of an algorithm for generating a random undirected, unweighted graph. The algorithm uses the...

## Graphs in Python for A Level Computer Science

Part 1 – Networkx Basics networkx is a powerful python package that allows you to easily work with graphs in Python. Combining it with the matplotlib.pyplot package even makes it simple to...