Christoph DeilCode-Review, IDEs/ Jupyter
Learn 10 ways to debug your Python code and many tips and tricks for effective debugging in 30 minutes.
Oliver BestwalterAlgorithms, Code-Review, APIs, Use Cases
Abridged metaprogramming classics - this episode: pytest. About the role of metaprogramming in the creation of a simple to use but powerful testing framework.
Vasily KorfArtificial Intelligence, Code-Review, IDEs/ Jupyter, Python
Datalore supports intentions – code suggestions based on what you’ve just written.
Luciano RamalhoAlgorithms, Code-Review
#BeyondParadigms: Languages like Python and Go don't fit programming paradigm categories very well. A more pragmatic and practical way to understand languages is focusing on features. This is what "Beyond Paradigms" is about.
Good code comments are important for software maintenance. This talk goes beyond the common wisdom you find in most books and online and explains when this common wisdom falls short.
Adrin JalaliArtificial Intelligence, Community, Code-Review, Machine Learning
an update on recent scikit-learn changes, current affairs, and the roadmap
Sander KooijmansAlgorithms, Code-Review
In this talk Sander explains how to write tests that need a lot of data using code of a warehouse management system as example.
Edwin JungCode-Review, Web, Data Engineering
Mock Hell: How to escape and avoid it, and improve your design in the process.
Tin MarkovićBusiness & Start-Ups, Community, Code-Review
Refactoring can be easier: Clean up your codebase, using modern tooling, gradual code changes and smart policy.