Best of Pandas — June 2024

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   Article

   JetBrains·2y

   How to Move From pandas to Polars

   Polars is gaining popularity in the data science community due to its speed and security benefits, being written in Rust and based on Apache Arrow. Polars offers a similar API to pandas, which lowers the barrier for migration. It handles large data sets more efficiently with its lazy API and better concurrency capabilities. Tools like PyCharm support Polars, smoothing the transition. The primary differences in syntax and migration tips are provided, ensuring a relatively seamless switch from pandas to Polars.

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   Article

   Hacker News·2y

   My thoughts on Python in Excel

   Python in Excel is an alternative to the Excel formula language and has use cases for computationally intensive tasks, AI, advanced visualizations, and time-series analysis. However, it is not suitable for beginners or interactive data analysis. There are also restrictions such as not being able to use custom packages or connect to web APIs.

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3. 3
   Article

   Daily Dose of Data Science | Avi Chawla | Substack·2y

   A Misconception About Pandas Inplace

   Many Pandas users erroneously believe that inplace operations reduce run-time and memory usage. However, these operations usually don't prevent the creation of a new copy and often slow down performance due to additional checks. Inplace operations can also inhibit method chaining, making them less preferable for many users.

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