Scaling Pandas: Dask vs Ray vs Modin vs Vaex vs RAPIDS
Scaling Pandas: Comparing Dask, Ray, Modin, Vaex, and RAPIDSHow can you process more data quicker? Python and its most popular data wrangling library, Pandas, are soaring in popularity. Compared to competitors like Java, Python and Pandas make data exploration and transformation simple. But both Python and Pandas are known to have issues around scalability and efficiency. Python loses some efficie
datetime vs Arrow vs Pendulum vs Delorean vs udatetime - aboutsimon.com
The big alternatives to Python datetime all share similar goals. These goals are ease of use, simplicity and intelligent/user friendly API design. Awesome goals and I love those libraries for investing a lot of effort to achieve them. What I wanted to find out was how much impact using libraries like Arrow, Pendulum or Delorean have on the performance of the code you’re writing. Why bother about t
Essays Ken Reitz
Datetimes are a headache to deal with in Python, especially when dealing with timezones, especially when dealing with different machines with different locales. Maya exists to do all the hard work for you, so you can focus on what you're trying to do — import or export simple datetime data in known human and machine-readable formats. Example Usage of Maya (v0.1.0) >>> now = maya.now() <MayaDT epoc
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How to Compare Large Files
