Distilling the lessons learnt from over a hundred Data Science intern applications where the majority of the candidates were not selected for interview. The focus of this article is on what and how to communicate rather than what technical skills to acquire.
As an avid user of Jupyter Notebooks and/or Lab, this guide shows how to automatically start-up Jupyter server allowing you to select your desired Python environment using the web interface and then start coding.
If like me, your typical workflow was to start a terminal, activate your desired Python virtual…
Flight tickets state the departure and arrival date and time but with their respective local Time Zones, which can make working out how long the flight is a bit tricky. In this article, the
Delorean library is introduced and along with
datetime objects with Time Zone information are manipulated…
Kaggle Grandmasters tackle character recognition for the fifth most popular native language, how to choose the right colour scheme for your plot and useful Python newsletters.
The Nvidia Machine Learning (ML) Grandmasters took part in the Kaggle competition for the character recognition of the World’s fifth most popular native language…
python functions to prepare for “Big Data” processing, the advantages of Nomad over Kubernetes and Visual Studio Codes’s next-generation code completion for Python.
Links to three interesting and wide ranging topics on Data Science, from understanding key features of
python as a means of preparing to process “Big Data”…
Selecting articles from a Pocket list curated over the last 5 years on Data Science.
Utilising a wide range of articles saved on Pocket and their application to Data Science.
Additional plugins for
git to make using repositories more manageable for Data Science.
Introduction to the open source
git-extras package, it’s installation on a Ubuntu (GNU/Linux) environment and it’s application in general and for Data Science.