Anna-Lena Popkes
    • Posts
    • My path to machine learning
    • Books
      • Personal reading List
      • Deep work
    • Machine Learning
      • KL Divergence
      • Variational Inference
    • Python
      • Mocking
      • Magical Universe
        • Start
        • The Tales of Castle Kilmere
        • Object-oriented programming
        • Types of methods
        • Type annotations
        • To-string conversion
        • Decorators
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        • Underscore patterns
        • Extending the universe
        • Duck Typing
        • Namedtuples
        • Abstract Base Classes
        • Data classes
        • Immutable data classes
        • Decorators in classes
        • if __name__ == "__main__"
        • Context managers
        • Testing with pytest
        • Iterators
        • Multisets
        • Extending the universe II
        • Exception classes
        • functools.wraps
        • Defaultdict
        • Config files
        • Wrap up
    • Software Engineering
      • Intro to containers
      • Intro to Docker
      • Intro to virtual machines
    Personal reading list of non-fiction books

    Books I am currently reading A Promised Land by Barack Obama Link to book Books I have read The Alchemy of Air by Thomas Hager (Link to book) Superintelligence: Paths, Dangers, Strategies by Nick Bostrom (Link to book) Beethoven, A Life by Jan Caeyers (Link to book) Deep Work: Rules for Focused Success in a Distracted World by Cal Newport (Link to book)

    February 14, 2021 Read
    Deep Work

    I recently finished reading the book Deep Work by Cal Newport. For years, I have been interested in the question of how we can improve our learning and work habits. There is a ton of research on this topic and many great resources (like, for example, the podcast The Learning Scientists). I don’t want to use this blog post to talk about all the different things I have learned and tried in the past years.

    December 18, 2020 Read
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    • Email: popkes@gmx.net

    Toha
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