In this post we share our favourite lessons from basketball coach Wooden: enjoy the game (more than the result), many small improvements compound over time, your actions reveal your character, stay humble, and keep emotion and ego in check.
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A workplace/career thought for you to consider today.
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The sure way to feel less fulfilled and increase imposter syndrome? Comparing yourself to others …
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Here are 10 things we learned writing pytest code that might come in handy.
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In this article Alessandro provides an overview of Abstract Syntax Trees (ASTs), introduces a few use-cases, and showcases the ast module in the Python Standard Library. The content is structured in a top-down fashion, starting from general notion about an AST, and digging deeper up to the point of artificially manipulating an AST to “randomize” the content of some instructions.
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In this article Jesse shares how he used Python to leverage his daughter’s homework assignment …
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Have you ever wondered how to get Python source code quickly? It turns out the Standard Library can do this pretty effortlessly. Here is some code to read more Python source.
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I finally managed to get scikit-learn running on the platform. On the way, I learned a lot about AWS Lambda Layers, AWS cli, and AWS cloud infrastructure in general. And now it’s time I share this knowledge with you. In this article you will learn about creating your own AWS Lambda Layer to support any Python package you may need.
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Machine Learning is super powerful if your data is numeric. What do you do, however, if you want to mine text data to discover hidden insights or to predict the sentiment of the text. What, for example, if you wanted to identify a post on a social media site as cyber bullying. In this article we introduce some methods to clean your text and prepare it for modelling.