在数据科学项目的开始阶段,使用pip或conda等依赖性管理工具可能就足够了。 然而,随着项目的扩大,依赖关系的数量也在增加。这可能会使项目的环境难以重现,并且在仅仅依靠pip或conda进行依赖性管理时难以有效地维护它。 此时 Poetry 应运而生,它是一个 ...
Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...
Pandas is a library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time ...
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Generate realistic test data in Python fast. No dataset required
Learn the NumPy trick for generating synthetic data that actually behaves like real data.
In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work with ...
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