How to build a data architecture to drive innovation—today and tomorrow. McKinsey, July, 2020. Over the past several years, organizations have had to move quickly to deploy new data technologies alongside legacy infrastructure to drive market-driven innovations such as personalized offers, real-time alerts, and predictive maintenance.

Now, as companies navigate the unprecedented humanitarian crisis caused by the COVID-19 pandemic and prepare for the next normal, the need for flexibility and speed has only amplified. In this study McKinsey team observed six foundational shifts companies are making to their data-architecture blueprints that enable more rapid delivery of new capabilities and vastly simplify existing architectural approaches.

Python Style Guide – How to Write Neat and Impressive Python Code. Python code is written once, but read a billion times over, potentially by viewers who are not accustomed to our style of programming. This takes on even more importance in data science. So how do we write this so-called beautiful Python code? Welcome to the Python Style Guide!