Efficient Memory Management with Pandas

Working with large datasets in pandas can quickly eat up your memory, slowing down your analysis or even crashing your sessions. But fear not, there are several strategies you can adopt to keep your memory usage in check. I show you into some practical tips and tricks for optimizing pandas DataFrame sizes without losing the essence of your data. (more…)

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Advanced Data Filtering in Pandas

Filtering data is a foundational task in data analysis with pandas, enabling users to focus on relevant subsets of their dataset. Beyond basic filtering with loc and iloc, Pandas offers powerful options for handling complex data filtering needs. Let me introduce advanced filtering techniques using regular expressions and custom functions, accompanied by practical code examples to enhance your data analysis workflow. (more…)

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