Data Science

Efficient Frontier & Portfolio Optimization with Python [Part 2/2]

Markowitz’s Efficient Frontier in Python [Part 1/2]

Assessing Risks and Return with Probabilities of Events with Python

Assessing the riskiness of a single stock in Python

Calculating Expected Rates of Returns for a Portfolio of stocks with Python

Scipy Stack: Python’s number cruncher

Python has recently been gaining traction as the go-to programming language for data scientists. There seems to be a never-ending “Python v R” debate in the data science community. A quick google search will surprise you! Personally, I am not interested in those…

My 10 commandments for Python (and coding) newbies

Learning anything new is difficult and time consuming for everyone (you are not any different). However, there are certain practices that will make your programming journey not as difficult as it ought to be. With this short post, I will…

“Anaconda— A Beautiful Snake for Data Science”

There are so many IDEs (Integrated Development Environments) for coding with Python. This blog post provides a walkthrough for the installation process for one of the most popular IDEs for data analytics and ends with some few maintenance tricks.