Python: Pandas

Python Data Analysis Library There is a Jupyter Notebook accompanying this post HERE! In a previous session we explored NumPy in detail, learning about array structures and vectorisation. While NumPy is extremely powerful, it has some limitations. For example, data is organised into rows and columns (often in more than 2 dimensions) without labels other … Continue reading Python: Pandas

Python: NumPy

There is a Jupyter Notebook accompanying this post HERE. NumPy is a Python package built around the concept of ndarrays (n-dimensional arrays) along with a suite of efficient functions for applying operations over those arrays. Many of the other important packages for data scientists are built on top of NumPy (e.g. Pandas, scikit-learn). In the … Continue reading Python: NumPy

Python: Arrays

Run and experiment with the code in this tutorial using the Jupyter Notebook Intro Abstraction is one of the fundamental concepts in object-oriented programming. It enables a user to implement an idea without having to grapple with its implementation, or put another way it allows access to a high level concept while hiding away lower-level … Continue reading Python: Arrays

AI Adventures in Azure: Ways to Program in Python on the DSVM

Having introduced the set up and configuration of a new virtual machine and the ways to interact with it, I will now show some ways to use it to start programming in Python. This post will assume that the VM is allocated and that the user is accessing the VM using a remote desktop client. … Continue reading AI Adventures in Azure: Ways to Program in Python on the DSVM

AI Adventures in Azure

A lot of my work at the moment requires quite computationally heavy geospatial analysis that stretches the processing capabilities of my laptop. I invested in a pretty powerful machine – i7-7700GHz processor, 32GB RAM – and sped things up by spreading the load across cores and threads, but it can still be locked up for … Continue reading AI Adventures in Azure