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Python Data Containers

Let’s learn new and modern ways of creating data containers in Python. Tuples? Try using named tuples. Dictionaries? Try using EasyDictionary. Classes? Try using data classes. These newer and alternative data containers help you write better and cleaner code. Let’s reach for success, let’s start learning.

Bayesian Networks, Py-BBN

Come learn about the basics of probabilistic and causal inference using Py-BBN. Py-BBN is an opensource API that anyone can use to solve and facilitate their decision making problems. This API is built using Python.

API Release: py-pair

We are happy to release a statistical library for computing bivariate association called py-pair! There are over 130 association measures for all your data science needs! Install it with PyPi. Learn more with online documentation. See the source code on GitHub.

Learn Java 12 with Jupyter Lab

Learning Java 12 can be a challenge since you will have to set up your development environment correctly. We have released a Docker container with Java 12 and Jupyter Lab to take away the pain of creating a Java environment and setting up an Integrated Development Environment (IDE). With this […]

Book Release: Python, Do This, Not That!

We have published an online book for Python programmers to improve their coding skills. This book has nearly 40 examples of writing Python code that is beautiful and idiomatic, and at the same time, computationally efficient and effective. The project is available on GitHub and the book is available for […]