25 янв. 2024 г. · #1 Write programs for people, not computers · Naming conventions: Use consistent, distinctive, meaningful names for variables, functions, and ...

14 июн. 2024 г. · Testing and sanity checks are crucial for ensuring the correctness and reliability of data science code. They help catch errors early, provide ...

We describe key aspects of good coding practices for data science, illustrating with examples in R and in Python, though similar standards are applicable to.

27 июл. 2023 г. · 2.3.1. Choose Good Names · 2.3.2. Follow a Style Guide Consistently · 2.3.3. Create Documents Using Tools That Support Reproducible Workflows. Why Bother? · Prior Work · A Motivating Example

29 мая 2024 г. · 5 Python Best Practices for Data Science · 1. Use Virtual Environments for Each Project · 2. Add Type Hints for Maintainability · 3. Model Your ...

12 окт. 2023 г. · Clearly label your inputs and outputs and the different sections of your document. Put the most important information for your user at the top.

Code should be self-documented. This means no unnecessary comments at all. Put the effort to improve, organize and structure your code i.e. clean it.

3. Write clean code. · Avoid non-descriptive variable names · Naming and formatting conventions · Keep your code DRY (Don't repeat yourself).

Try to keep your lines of code fairly short, ideally less than 80 characters long. Style guides can be a little overwhelming at first, but don't stress too much ...

Variable and function names should be lowercase. Use an underscore ( _ ) to separate words within a name. Generally, variable names should be nouns and function ...