## Python and The Baltimore Stockbroker

In this post we are going to use Python to explore the story of the Baltimore Stockbroker. If you were in the fortunate position to have some money to invest and you...

Data Science is hugely important in the modern world, and Python is a powerful tool for processing, analysing, displaying data and more. Using industry standard Python libraries such as Pandas, NumPy, Matplotlib and SciPy you can explore the fascinating world of Data Science to your heart’s content.

In this post we are going to use Python to explore the story of the Baltimore Stockbroker. If you were in the fortunate position to have some money to invest and you...

In this article we are going to learn how to do some basic sentiment analysis with Python, using a wordlist-based approach and the afinn package. First, you will need to install the...

In this article we are going to use Python to test whether a coin is fair. We will do this by making use of the statsmodels package to perform a hypothesis test....

Here’s a useful tip for finding the size of a pandas dataframe. It can get a little confusing as len and size usually give different answers. size gives the total number of...

In this post we are going to explore conditional probability with Python. Here’s a fun and potentially tricksome question about probabilities: In a family with two children, what is the probability that,...

In this lesson, we are going to learn how to retrieve and display stock data using the YFinance library, which makes use of Pandas, the famous and powerful Python data processing library....

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...

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...

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...

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...

© 2019 Compucademy™ All Rights Reserved. Terms and Conditions